From d4bcc54b98e98757c9c5750ca1493973dd568b27 Mon Sep 17 00:00:00 2001 From: An Qi Date: Sat, 13 Apr 2024 14:27:27 +0800 Subject: [PATCH] update pages (#303) --- README.md | 26 + docs/Transform_Function_List.md | 184 +++++ docs/getting_started.md | 12 + docs/images/IGinXZeppelin/create_new_note.png | Bin 0 -> 196059 bytes docs/images/IGinXZeppelin/iginx_sql.png | Bin 0 -> 181162 bytes .../IGinXZeppelin/restart_interpreter.png | Bin 0 -> 135888 bytes docs/images/IGinXZeppelin/restful.png | Bin 0 -> 234621 bytes docs/images/IGinXZeppelin/set_new_note.png | Bin 0 -> 48067 bytes .../IGinXZeppelin/zeppelin_download_page.png | Bin 0 -> 156413 bytes docs/images/IginX_arch.png | Bin 0 -> 302792 bytes docs/images/cluster_arch.png | Bin 0 -> 160128 bytes docs/images/softwareArch.png | Bin 0 -> 70464 bytes docs/pdf/SQLManual.pdf | Bin 0 -> 293316 bytes docs/pdf/userManualC.pdf | Bin 0 -> 1626300 bytes .../IGinXByDocker-EnglishVersion.md | 296 ++++++++ docs/quickStarts/IGinXByDocker.md | 295 ++++++++ .../IGinXBySource-EnglishVersion.md | 568 +++++++++++++++ docs/quickStarts/IGinXBySource.md | 563 +++++++++++++++ .../IGinXCluster-EnglishVersion.md | 478 +++++++++++++ docs/quickStarts/IGinXCluster.md | 486 +++++++++++++ .../IGinXInOneShot-EnglishVersion.md | 395 +++++++++++ docs/quickStarts/IGinXInOneShot.md | 389 +++++++++++ .../quickStarts/IGinXManual-EnglishVersion.md | 645 +++++++++++++++++ docs/quickStarts/IGinXManual.md | 647 ++++++++++++++++++ .../IGinXZeppelin-EnglishVersion.md | 139 ++++ docs/quickStarts/IGinXZeppelin.md | 143 ++++ .../IGinXByDocker-EnglishVersion.md | 335 +++++++++ docs/quickStarts_Parquet/IGinXByDocker.md | 336 +++++++++ .../IGinXBySource-EnglishVersion.md | 540 +++++++++++++++ docs/quickStarts_Parquet/IGinXBySource.md | 537 +++++++++++++++ .../IGinXCluster-EnglishVersion.md | 444 ++++++++++++ docs/quickStarts_Parquet/IGinXCluster.md | 448 ++++++++++++ .../IGinXInOneShot-EnglishVersion.md | 377 ++++++++++ docs/quickStarts_Parquet/IGinXInOneShot.md | 370 ++++++++++ 34 files changed, 8653 insertions(+) create mode 100644 README.md create mode 100644 docs/Transform_Function_List.md create mode 100644 docs/getting_started.md create mode 100644 docs/images/IGinXZeppelin/create_new_note.png create mode 100644 docs/images/IGinXZeppelin/iginx_sql.png create mode 100644 docs/images/IGinXZeppelin/restart_interpreter.png create mode 100644 docs/images/IGinXZeppelin/restful.png create mode 100644 docs/images/IGinXZeppelin/set_new_note.png create mode 100644 docs/images/IGinXZeppelin/zeppelin_download_page.png create mode 100644 docs/images/IginX_arch.png create mode 100644 docs/images/cluster_arch.png create mode 100644 docs/images/softwareArch.png create mode 100644 docs/pdf/SQLManual.pdf create mode 100644 docs/pdf/userManualC.pdf create mode 100644 docs/quickStarts/IGinXByDocker-EnglishVersion.md create mode 100644 docs/quickStarts/IGinXByDocker.md create mode 100644 docs/quickStarts/IGinXBySource-EnglishVersion.md create mode 100644 docs/quickStarts/IGinXBySource.md create mode 100644 docs/quickStarts/IGinXCluster-EnglishVersion.md create mode 100644 docs/quickStarts/IGinXCluster.md create mode 100644 docs/quickStarts/IGinXInOneShot-EnglishVersion.md create mode 100644 docs/quickStarts/IGinXInOneShot.md create mode 100644 docs/quickStarts/IGinXManual-EnglishVersion.md create mode 100644 docs/quickStarts/IGinXManual.md create mode 100644 docs/quickStarts/IGinXZeppelin-EnglishVersion.md create mode 100644 docs/quickStarts/IGinXZeppelin.md create mode 100644 docs/quickStarts_Parquet/IGinXByDocker-EnglishVersion.md create mode 100644 docs/quickStarts_Parquet/IGinXByDocker.md create mode 100644 docs/quickStarts_Parquet/IGinXBySource-EnglishVersion.md create mode 100644 docs/quickStarts_Parquet/IGinXBySource.md create mode 100644 docs/quickStarts_Parquet/IGinXCluster-EnglishVersion.md create mode 100644 docs/quickStarts_Parquet/IGinXCluster.md create mode 100644 docs/quickStarts_Parquet/IGinXInOneShot-EnglishVersion.md create mode 100644 docs/quickStarts_Parquet/IGinXInOneShot.md diff --git a/README.md b/README.md new file mode 100644 index 0000000000..3422f74663 --- /dev/null +++ b/README.md @@ -0,0 +1,26 @@ +# The IGinX Polystore System + +[IGinX](https://github.com/IGinX-THU/IGinX) is an open source polystore system. A polystore system provides an integrated data management service over a set of one or more potentially heterogeneous database/storage engines, serving heterogeneous workloads. + +## Overview + +IGinX (Intelligent enGine X) aims to facilitate users in profiting from their data assets that might spread across various storage/database engines. Evolving from the open source project [IginX](https://github.com/thulab/IginX), IGinX once was designed to manage the huge volume of time series data across a wide *End*-*Edge*-*Cloud* architecture and succeeded in [breaking the TPCx-IoT records in 2021](https://link.springer.com/chapter/10.1007/978-3-030-94437-7_2). However, profiting from data assets requires the interplay of various data types. Many users have their data spread across different database/storage engines. And, "No one size fits all". Properly matching data with storage engines can give users orders of magnitude in performance advantage. These motivations led to the decision of evolving IGinX. Thanks to its open and flexible architecture, IGinX can evolve into a polystore system without the need of complete redesign or reimplementation. + +## Installation + +See the [getting started](https://github.com/IGinX-THU/IGinX/blob/main/docs/getting_started.md) documentation to start a IGinX in various ways. + +## Team and Contributions + +We are the IGinX team at Tsinghua University. You can find team members and contributors in this [list](https://github.com/IGinX-THU/IGinX/graphs/contributors). + +IGinX is open for new team members or contributions. If you would like to join our team and work with us online or offline, don't hesitate to contact us. Besides Github, we are also reachable through [email](mailto:TSIGinX@gmail.com). If you would like to contribute, please create a Github issue first or pick up one of our open issues; then, address the issue by forking the repository and submitting your changes as a pull request. + +## License + +[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) +© 2023 (Tsinghua University). + +Please note that this refers to the middleware pieces of the IGinX system. +External systems or software are distributed under their respective license agreement. + diff --git a/docs/Transform_Function_List.md b/docs/Transform_Function_List.md new file mode 100644 index 0000000000..71c3c49690 --- /dev/null +++ b/docs/Transform_Function_List.md @@ -0,0 +1,184 @@ +# Python Transform Functions + +## List of completed functions + +* SPREAD() +* MEAN() +* BOTTOM() +* DISTINCT() + +## List of functions to be completed + +* STDDEV() +* AGGREGATE.RATE() +* AGGREGATE.WINDOW() +* MAP +* MEAN +* MEDIAN +* MODE +* highestAVERAGE() +* highestCURRENT() +* highestMAX() +* lowestAVERAGE() +* lowestCurrent() +* hourSELECTION() +* movingAVERAGE() +* RANGE() +* SKEW() +* SORT() +* SPREAD() +* ARRAY.FILTER +* INTEGRAL() +* LIMIT() +* REDUCE() +* SUM() +* tableFIND + +## Function Definitions and Explanation + +* BOTTOM() function + +> The bottom() function sorts a table by columns and keeps only the bottom n records. bottom() is a selector function. +> +> bottom() 函数按列对表进行排序并仅保留底部的 n 条记录。 bottom() 是一个选择器函数。 + +* DISTINCT() function + +> Returns the unique field values associated with the field key. +> DISTINCT() supports all field value data types. InfluxQL supports nesting DISTINCT() with COUNT(). +> +> 返回与字段键关联的唯一字段值。 +> DISTINCT() 支持所有字段值数据类型。 InfluxQL 支持将 DISTINCT() 与 COUNT() 嵌套。 + +* SPREAD() + +> The spread() function outputs the difference between the minimum and maximum values in a specified column. spread() is an aggregate function. +> +> spread() 函数输出指定列中最小值和最大值之间的差。 spread() 是一个聚合函数。 + +* STDDEV() + +> The stddev() function computes the standard deviation of non-null records in a specified column. stddev() is an aggregate function. +> +> stddev() 函数计算指定列中非空记录的标准差。 stddev() 是一个聚合函数。 + +* aggregate.rate() + +> The aggregate.rate() function calculates the rate of change per windows of time for each input table. +> The aggregate.rate() function calculates the rate of change per windows of time for each input table. +> The strategy of this function is to split data into pieces (into months), apply some function to each piece (sum up the amount of rainfall), combine the results back together again (plot the data or store the data for further usage). +> Example: If you want to measure the mean diurnal rainfall in Berlin from 2002 to 2016. +> +> aggregate.rate() 函数计算每个输入表的每个时间窗口的变化率。 + +* aggregateWindow() + +> aggregateWindow() applies an aggregate or selector function (any function with a column parameter) to fixed windows of time. +> +> aggregateWindow() 将聚合或选择器函数(任何具有列参数的函数)应用于固定的时间窗口。 + +* highestAverage + +> The highestAverage() function calculates the average of each table in the input stream returns the top n records. The function outputs a single aggregated table containing n records. highestAverage() is a selector function. +> +> highestAverage() 函数计算输入流中每个表的平均值,返回前 n 条记录。 该函数输出一个包含 n 条记录的聚合表。 highestAverage() 是一个选择器函数。 + +* highestCurrent + +> The highestCurrent() function selects the last record of each table in the input stream and returns the top n records. The function outputs a single aggregated table containing n records. highestCurrent() is a selector function. +> +> highestCurrent() 函数选择输入流中每个表的最后一条记录,并返回前 n 条记录。 该函数输出一个包含 n 条记录的聚合表。 highcurrent() 是一个选择器函数。 + +* highestMax() + +> The highestMax() function selects the maximum record from each table in the input stream and returns the top n records. The function outputs a single aggregated table containing n records. highestMax() is a selector function. +> +> highestMax() 函数从输入流中的每个表中选择最大记录并返回前 n 条记录。 该函数输出一个包含 n 条记录的聚合表。 highMax() 是一个选择器函数。 + +* lowestAverage() + +> The lowestAverage() function calculates the average of each table in the input stream returns the lowest n records. The function outputs a single aggregated table containing n records. lowestAverage() is a selector function. +> +> minimumAverage() 函数计算输入流中每个表的平均值,返回最低的 n 条记录。 该函数输出一个包含 n 条记录的聚合表。 minimumAverage() 是一个选择器函数。 + +* lowestCurrent() function + +> The lowestCurrent() function selects the last record of each table in the input stream and returns the lowest n records. The function outputs a single aggregated table containing n records. lowestCurrent() is a selector function. +> +> minimumCurrent() 函数选择输入流中每个表的最后一条记录,并返回最低的 n 条记录。 该函数输出一个包含 n 条记录的聚合表。 最低电流()是一个选择器函数。 + +* hourSelection() function + +> The hourSelection() function retains all rows with time values in a specified hour range. +> +> hourSelection() 函数保留时间值在指定小时范围内的所有行。 + +* movingAverage + +> The movingAverage() function calculates the mean of values in the _values column grouped into n number of points. +> +> movingAverage() 函数计算 values 列中的值的平均值,这些值分组为 n 个点。 + +* range() + +> The range() function filters records based on time bounds. Each input table’s records are filtered to contain only records that exist within the time bounds. Records with a null value for their time are filtered. Each input table’s group key value is modified to fit within the time bounds. Tables where all records exists outside the time bounds are filtered entirely. +> +> range() 函数根据时间限制过滤记录。 每个输入表的记录都被过滤为仅包含在时间范围内存在的记录。 过滤时间为空值的记录。 每个输入表的组键值都被修改以适应时间范围。 所有记录都存在于时间范围之外的表将被完全过滤。 + +* skew() + +> The skew() function outputs the skew of non-null records as a float. skew() is an aggregate function. +> Output data type: Float +> +> skew() 函数将非空记录的倾斜输出为浮点数。 skew() 是一个聚合函数。 +> 输出数据类型:浮点数 + +* sort() + +> The sort() function orders the records within each table. One output table is produced for each input table. The output tables will have the same schema as their corresponding input tables. +> +> sort() 函数对每个表中的记录进行排序。 为每个输入表生成一个输出表。 输出表将具有与其对应的输入表相同的模式。 + +* spread() + +> The spread() function outputs the difference between the minimum and maximum values in a specified column. spread() is an aggregate function. +> +> spread() 函数输出指定列中最小值和最大值之间的差。 spread() 是一个聚合函数。 + +* array.filter() + +> array.filter() iterates over an array, evaluates each element with a predicate function, and then returns a new array with only elements that match the predicate. +> +> array.filter() 遍历一个数组,使用谓词函数评估每个元素,然后返回一个新数组,其中仅包含与谓词匹配的元素。 + +* integral() function + +> The integral() function computes the area under the curve per unit of time of subsequent non-null records. integral() requires start and stop columns that are part of the group key. The curve is defined using time as the domain and record values as the range. +> integral() is an aggregate function. +> +> 积分() 函数计算后续非空记录的每单位时间曲线下面积。 integer() 需要 start 和 stop 列,它们是组键的一部分。 使用 time 作为域和记录值作为范围来定义曲线。 +> 积分()是一个聚合函数。 + +* limit() function + +> The limit() function limits each output table to the first n records. The function produces one output table for each input table. +> Each output table contains the first n records after the offset. If the input table has less than offset + n records, limit() outputs all records after the offset. +> limit() is a selector function. +> +> limit() 函数将每个输出表限制为前 n 条记录。 该函数为每个输入表生成一个输出表。 每个输出表都包含偏移量之后的前 n 条记录。 如果输入表的记录数少于 offset + n 条, +> limit() 会输出偏移量之后的所有记录。 +> limit() 是一个选择器函数。 + +* reduce() function + +> The reduce() function aggregates records in each table according to the reducer, fn, providing a way to create custom aggregations. The output for each table is the group key of the table with columns corresponding to each field in the reducer record. reduce() is an aggregate function. +> +> reduce() 函数根据 reducer fn 聚合每个表中的记录,提供了一种创建自定义聚合的方法。 每个表的输出是表的组键,其列对应于 reducer 记录中的每个字段。 +> reduce() 是一个聚合函数。 + +* sum() function + +> The sum() function computes the sum of non-null records in a specified column. sum() is an aggregate function. +> +> sum() 函数计算指定列中非空记录的总和。 sum() 是一个聚合函数。 + diff --git a/docs/getting_started.md b/docs/getting_started.md new file mode 100644 index 0000000000..550751e3db --- /dev/null +++ b/docs/getting_started.md @@ -0,0 +1,12 @@ +# Getting Started + +You can run IGinX in the following ways: +- [Use IGinX in one shot](./quickStarts/IGinXInOneShot-EnglishVersion.md)([Chinese version](./quickStarts/IGinXInOneShot.md)) +- [Use IGinX by compiling sources](./quickStarts/IGinXBySource-EnglishVersion.md)([Chinese version](./quickStarts/IGinXBySource.md)) +- [Use IGinX by docker](./quickStarts/IGinXByDocker-EnglishVersion.md)([Chinese version](./quickStarts/IGinXByDocker.md)) +- [Deploy an IGinX Cluster](./quickStarts/IGinXCluster-EnglishVersion.md)([Chinese version](./quickStarts/IGinXCluster.md)) + +The complete quick start can be found here-[完整版部署说明文档](./quickStarts/IGinXManual.md) in Chinese and here-[IGinX Installation and Use Manual](./quickStarts/IGinXManual-EnglishVersion.md) in English. + +Or, please refer to our [User manual in Chinese - 中文用户手册](https://github.com/IGinX-THU/IGinX/raw/main/docs/pdf/userManualC.pdf). 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z+$3-d%~#rX@-&(hhrbWlf^^8K3D`$ThJg>F9G)qF(#&kmNv{#TPUkw zn`UX)y2E2Yg&W%-l-y{X+XF-8{jrd8BE1I<=TXiMRa-D$BqJ79P?Wy`9>m^w9#S}j zd>t%Du=9-OD?t4P(*pG?tQ$}|6lL-iU>U@66J-11P+NlyBs2!VKvk7#frN>`YXDSU zaqXW37;H76wy^qOf6sx`aSQ^RbU4q0{=mIpT4166UWbB%+~BRZAdSI;;Q>;ga8K#M zG~I#Y{r!V=Y00*vmn^OQy!-(UJt@9fzzdXv!Tkud7i@QVd9og!K(;68C3w)&7%wTK jbMqLY@pF{VPa)3^b_)ttJQW87Ltx8l=<5%+wbb}Olm7Ny literal 0 HcmV?d00001 diff --git a/docs/quickStarts/IGinXByDocker-EnglishVersion.md b/docs/quickStarts/IGinXByDocker-EnglishVersion.md new file mode 100644 index 0000000000..d72b72f56d --- /dev/null +++ b/docs/quickStarts/IGinXByDocker-EnglishVersion.md @@ -0,0 +1,296 @@ +# IGinX Installation and Use Manual (By Docker) + +IGinX is an open source polystore system. A polystore system provides an integrated data management service over a set of one or more potentially heterogeneous database/storage engines, serving heterogeneous workloads. + +Currently, IGinX directly supports big data service over relational database PostgreSQL, time series databases InfluxDB/IoTDB/TimescaleDB/OpenTSDB, and Parquet data files. + +## Environment Installation + +### Java Installation + +Since ZooKeeper, IGinX and IoTDB are all developed using Java, Java needs to be installed first. If a running environment of JDK >= 1.8 has been installed locally, **skip this step entirely**. + +1. First, visit the [official Java website](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html) to download the JDK package for your current system. + +2. Installation + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # unzip files +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +4. Use java -version to determine whether JDK installed successfully. + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +If the words above are displayed, it means the installation was successful. + +### Maven Installation + +Maven is a build automation tool used primarily to build and managa Java projects. If you need to compile from the source code, you also need to install a Maven environment >= 3.6. Otherwise, **skip this step entirely**. + +1. Visit the [official website](http://maven.apache.org/download.cgi)to download and unzip Maven + +```shell +$ wget http://mirrors.hust.edu.cn/apache/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz +$ tar -xvf apache-maven-3.3.9-bin.tar.gz +$ sudo mv -f apache-maven-3.3.9 /usr/local/ +``` + +2. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export MAVEN_HOME=/usr/local/apache-maven-3.3.9 +export PATH=${PATH}:${MAVEN_HOME}/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +3. Type mvn -v to determine whether Maven installed successfully. + +```shell +$ mvn -v +Apache Maven 3.6.1 (d66c9c0b3152b2e69ee9bac180bb8fcc8e6af555; 2019-04-05T03:00:29+08:00) +``` + +If the words above are displayed, that means the installation was successful. + +### Docker installation + +Docker provides an official installation script that allows users to automatically install it by entering the command: + +```shell +$ curl -fsSL https://get.docker.com | bash -s docker --mirror Aliyun +``` + +You can also use the internal daocloud one-click installation command: + +```shell +$ curl -sSL https://get.daocloud.io/docker | sh +``` + +Run this command to start the docker engine and check the docker version: + +```shell +$ systemctl start docker +$ docker version +``` + +If the words above are displayed, it means the installation was successful: + +```shell +Client: Docker Engine - Community + Version: 20.10.8 + API version: 1.41 + Go version: go1.16.6 + Git commit: 3967b7d + Built: Fri Jul 30 19:55:49 2021 + OS/Arch: linux/amd64 + Context: default + Experimental: true + +Server: Docker Engine - Community + Engine: + Version: 20.10.8 + API version: 1.41 (minimum version 1.12) + Go version: go1.16.6 + Git commit: 75249d8 + Built: Fri Jul 30 19:54:13 2021 + OS/Arch: linux/amd64 + Experimental: false + containerd: + Version: 1.4.9 + GitCommit: e25210fe30a0a703442421b0f60afac609f950a3 + runc: + Version: 1.0.1 + GitCommit: v1.0.1-0-g4144b63 + docker-init: + Version: 0.19.0 + GitCommit: de40ad0 +``` + +## Compile the Image + +Currently, the docker image of IGinX needs to be manually installed locally. First, you need to download the IGinX source code: + +```shell +$ cd ~ +$ git clone git@github.com:IGinX-THU/IGinX.git # Pull the latest IGinX code +$ cd IGinX +``` + +Then start building the IGinX image: + +Currently, there are two types of IGinX image construction: +- oneShot: All dependencies including ZooKeeper, IGinX and IoTDB can be packaged and run with one shot. +- onlyIginx: Another way is to build the IGinX image separately, requiring the user to manually start the ZooKeeper and IoTDB nodes externally. + +## oneShot + +In this method, ZooKeeper, IoTDB and IGinX run as 3 separate containers with a custom network bridge which enables these three containers to communicate with each other. + +Before building the image, the params in `conf/config.properties` need to be changed. The IP address for ZooKeeper and IoTDB should be changed to the hostnames of those containers. Otherwise, IGinX will not be able to access them. + +```properties +# IoTDB:iotdb12 (param before the first #) +# ZooKeeper:zkServer +storageEngineList=iotdb12#6667#iotdb12#username=root#password=root#sessionPoolSize=20#has_data=false#is_read_only=false +zookeeperConnectionString=zkServer:2181 +``` + +Hostnames for Zookeeper and IoTDB containers can be changed in `$IGINX_HOME/docker/oneShot/docker-compose.yaml` + +```yaml +services: + zookeeper: + hostname: "custom_zookeeper_hostname" #default: zkServer + iotdb: + hostname: "custom_IoTDB_hostname" #default: iotdb12 +# conf/config.properties should be changed accordingly +``` + +Then use the following command to build image and run: + +```shell +$ cd docker/oneShot +$ ./build_and_run_iginx_docker.sh +``` + +The following words are displayed to indicate that the image was built and run successfully: + +```shell +[+] Building 729.6s (12/12) FINISHED +=> [iginx internal] load .dockerignore 0.0s +=> => transferring context: 2B 0.0s +=> [iginx internal] load build definition from Dockerfile 0.0st +=> => transferring dockerfile: 384B 0.0s +=> [iginx internal] load metadata for docker.io/library/maven:3-amazoncorretto-8 5.5s2 +=> [iginx internal] load metadata for docker.io/library/amazoncorretto:8 5.6s +=> CACHED [iginx stage-1 1/2] FROM docker.io/library/amazoncorretto:8@sha256:f9290c74c5587f1e651bd4f0b783f8342aba347d84 0.0s +=> [iginx internal] load build context 0.8s +=> => transferring context: 1.64MB 0.8s/ +=> CACHED [iginx builder 1/4] FROM docker.io/library/maven:3-amazoncorretto-8@sha256:c9d6016fad9c479b874f270a80d80f8913 0.0s +=> [iginx builder 2/4] COPY . /root/IGinX 1.0s +=> [iginx builder 3/4] WORKDIR /root/IGinX 0.1s +=> [iginx builder 4/4] RUN --mount=type=cache,target=/root/.m2 mvn clean package -pl core,dataSources/iotdb12 -am -Dm 721.4s +=> [iginx stage-1 2/2] COPY --from=builder /root/IGinX/core/target/iginx-core-dev /root/IGinX 0.1s +=> [iginx] exporting to image 0.4s +=> => exporting layers 0.3s +=> => writing image sha256:3e83d7c3510bd41f9e0404bef932e1c7f48bed869dccac3ba070cbc2b29b966c 0.0s +=> => naming to docker.io/library/oneshot-iginx 0.0s +[+] Running 4/4 +✔ Network oneshot_net Created 0.6s +✔ Container iotdb Started 1.6s +✔ Container zookeeper Started 1.6s +✔ Container iginx1 Started +``` + +After this step, 127.0.0.1:10001 will be accessable for IGinX service. + +## onlyIginx + +**Warning: Before starting to build the IGinX image, you need to modify the network address parameters in IGinX. All "127.0.0.1" should be replaced by "host.docker.internal" to enable the IGinX container to communicate with ZooKeeper, database services that run on host machine.** + +Use the following command to build the IGinX image: + +```shell +$ cd docker/onlyIginx +$ ./build_iginx_docker.sh +``` + +The following words are displayed to indicate that the image was built successfully: + +```shell +[+] Building 887.9s (12/12) FINISHED +=> [internal] load build definition from Dockerfile-iginx 0.1s +=> => transferring dockerfile: 406B 0.0s +=> [internal] load .dockerignore 0.1s +=> => transferring context: 2B 0.0s +=> [internal] load metadata for docker.io/library/openjdk:11-jre-slim 5.3s +=> [internal] load metadata for docker.io/library/maven:3-amazoncorretto-8 3.3s +=> [internal] load build context 3.6s +=> => transferring context: 475.61MB 3.5s +=> CACHED [builder 1/4] FROM docker.io/library/maven:3-amazoncorretto-8@sha256:c9d6016fad9c479b874f270a80d80f891 0.0s +=> [stage-1 1/2] FROM docker.io/library/openjdk:11-jre-slim@sha256:93af7df2308c5141a751c4830e6b6c5717db102b3b31 38.3s +=> => resolve docker.io/library/openjdk:11-jre-slim@sha256:93af7df2308c5141a751c4830e6b6c5717db102b3b31f012ea29d 0.1s +=> => sha256:764a04af3eff09cc6a29bcc19cf6315dbea455d7392c1a588a5deb331a929c29 7.55kB / 7.55kB 0.0s +=> => sha256:1efc276f4ff952c055dea726cfc96ec6a4fdb8b62d9eed816bd2b788f2860ad7 31.37MB / 31.37MB 25.6s +=> => sha256:a2f2f93da48276873890ac821b3c991d53a7e864791aaf82c39b7863c908b93b 1.58MB / 1.58MB 2.7s +=> => sha256:12cca292b13cb58fadde25af113ddc4ac3b0c5e39ab3f1290a6ba62ec8237afd 212B / 212B 1.2s +=> => sha256:93af7df2308c5141a751c4830e6b6c5717db102b3b31f012ea29d842dc4f2b02 549B / 549B 0.0s +=> => sha256:884c08d0f406a81ae1b5786932abaf399c335b997da7eea6a30cc51529220b66 1.16kB / 1.16kB 0.0s +=> => sha256:d73cf48caaac2e45ad76a2a9eb3b311d0e4eb1d804e3d2b9cf075a1fa31e6f92 46.04MB / 46.04MB 37.3s +=> => extracting sha256:1efc276f4ff952c055dea726cfc96ec6a4fdb8b62d9eed816bd2b788f2860ad7 1.0s +=> => extracting sha256:a2f2f93da48276873890ac821b3c991d53a7e864791aaf82c39b7863c908b93b 0.1s +=> => extracting sha256:12cca292b13cb58fadde25af113ddc4ac3b0c5e39ab3f1290a6ba62ec8237afd 0.0s +=> => extracting sha256:d73cf48caaac2e45ad76a2a9eb3b311d0e4eb1d804e3d2b9cf075a1fa31e6f92 0.7s +=> [builder 2/4] COPY . /root/iginx 1.3s +=> [builder 3/4] WORKDIR /root/iginx 0.1s +=> [builder 4/4] RUN mvn clean package -DskipTests -P-format 876.3s +=> [stage-1 2/2] COPY --from=builder /root/iginx/core/target/iginx-core-0.6.0-SNAPSHOT /iginx 0.2s +=> exporting to image 0.5s +=> => exporting layers 0.5s +=> => writing image sha256:e738348598c9db601dbf39c7a8ca9e1396c5ff51769afeb0fe3da12e2fdcd73a 0.0s +=> => naming to docker.io/library/iginx:0.6.0 +``` + +Then start to run the image. +Considering that IGinX and ZooKeeper communicates through network, it is necessary to establish a Docker network bridge to allow them to be interconnected through the network. Here we create a network bridge called docker-cluster-iginx: + +```shell +$ docker network create -d bridge --attachable --subnet 172.40.0.0/16 docker-cluster-iginx +# 172.40.0.0 refers to the bridge's ip. You can customize it if necessary. The ip address usually starts with 172. +``` + +Now start Zookeeper: + +```shell +$ cd ${zookeeper_path} +$ ./bin/zkServer.sh start +``` + +And then start an IoTDB instance: + +```shell +$ cd ${iotdb_path} +# ./sbin/start-server.sh +``` + +Finally, start IGinX to complete the startup of the entire system: + +```shell +$ cd ${iginx_path}/docker/onlyIginx +$ ./run_iginx_docker.sh x.x.x.x 10000 +# x.x.x.x is the ip address IGinX container would use. It should be accessable to docker-cluster-iginx. You can use 172.40.0.2 for example. Note that 172.40.0.1 is the gateway and cannot be used here. +# 10000 refers to the port on host that can be used to access IGinX service. You can customize it if preferred. +``` + +This command will expose the localhost port 10000 as the communication interface with the IGinX cluster. You can start accessing IGinX through 127.0.0.1:10000. diff --git a/docs/quickStarts/IGinXByDocker.md b/docs/quickStarts/IGinXByDocker.md new file mode 100644 index 0000000000..2fbf30eb82 --- /dev/null +++ b/docs/quickStarts/IGinXByDocker.md @@ -0,0 +1,295 @@ +# IGinX 安装使用教程(Docker运行) + +IGinX是清华大学“清华数为”大数据软件栈的“大数据总线”,面向解决用户在大数据场景下“管数烦、用数难”的问题而研发。它的特色包括“负载均衡弹性好、异构关联全局化、数据使用不搬家、Python集成便利大、SQL输入实时查”。 + +IGinX支持用户一体化管理已存储在不同系统中的数据资产,也支持用户统一读写、查询、关联特定系统中的数据。目前,IGinX支持一体化管理包括关系数据库PostgreSQL、时序数据库InfluxDB/IotDB/TimescaleDB/OpenTSDB、大数据文件Parquet集合等存储的数据。 + +## 环境安装 + +### Java 安装 + +由于 ZooKeeper、IGinX 以及 IoTDB 都是使用 Java 开发的,因此首先需要安装 Java。如果本地已经安装了 JDK>=1.8 的运行环境,**直接跳过此步骤**。 + +1. 首先访问 [Java官方网站](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html)下载适用于当前系统的 JDK 包。 +2. 安装 + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # 解压文件 +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +4. 使用 java -version 判断 JDK 是否安装成功 + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +如果显示出如上的字样,则表示安装成功。 + +### Maven 安装 + +Maven 是 Java 项目管理和自动构建工具,如果您需要从源码进行编译,还需要安装 Maven >= 3.6 的环境,否则,**直接跳过此步骤**。 + +1. 访问[官网](http://maven.apache.org/download.cgi)下载并解压 Maven + +``` +$ wget http://mirrors.hust.edu.cn/apache/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz +$ tar -xvf apache-maven-3.3.9-bin.tar.gz +$ sudo mv -f apache-maven-3.3.9 /usr/local/ +``` + +2. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export MAVEN_HOME=/usr/local/apache-maven-3.3.9 +export PATH=${PATH}:${MAVEN_HOME}/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +3. 使用 mvn -v 判断 Maven 是否安装成功 + +```shell +$ mvn -v +Apache Maven 3.6.1 (d66c9c0b3152b2e69ee9bac180bb8fcc8e6af555; 2019-04-05T03:00:29+08:00) +``` + +如果显示出如上的字样,则表示安装成功。 + +### Docker 安装 + +docker 官方提供了安装脚本,允许用户使用命令自动安装: + +```shell +$ curl -fsSL https://get.docker.com | bash -s docker --mirror Aliyun +``` + +也可以使用国内 daocloud 一键安装命令: + +```shell +$ curl -sSL https://get.daocloud.io/docker | sh +``` + +运行命令即可启动 docker engine,并查看 docker 版本: + +```shell +$ systemctl start docker +$ docker version +``` + +显示出如下字样,表示 docker 安装成功: + +```shell +Client: Docker Engine - Community + Version: 20.10.8 + API version: 1.41 + Go version: go1.16.6 + Git commit: 3967b7d + Built: Fri Jul 30 19:55:49 2021 + OS/Arch: linux/amd64 + Context: default + Experimental: true + +Server: Docker Engine - Community + Engine: + Version: 20.10.8 + API version: 1.41 (minimum version 1.12) + Go version: go1.16.6 + Git commit: 75249d8 + Built: Fri Jul 30 19:54:13 2021 + OS/Arch: linux/amd64 + Experimental: false + containerd: + Version: 1.4.9 + GitCommit: e25210fe30a0a703442421b0f60afac609f950a3 + runc: + Version: 1.0.1 + GitCommit: v1.0.1-0-g4144b63 + docker-init: + Version: 0.19.0 + GitCommit: de40ad0 +``` + +## 编译镜像 + +目前 IGinX 的 docker 镜像需要手动安装到本地。首先需要下载 IGinX 源码: + +```shell +$ cd ~ +$ git clone git@github.com:IGinX-THU/IGinX.git # 拉取最新的 IGinX 代码 +$ cd IGinX +``` + +随后开始构建 IGinX 镜像: + +目前 IGinX 镜像的构建分为两种: +- oneShot: 可以将包括 ZooKeeper、IGinX 以及 IoTDB 在内所有依赖进行一键打包及运行。 +- onlyIginx: 另一种为单独构建 IGinX 镜像,需要用户在外部手动启动 ZooKeeper 和 IoTDB 节点。 + +## oneShot 镜像 + +oneShot方法中,将ZooKeeper、IoTDB、IGinX分别打包为镜像运行,并创建一个网络以便服务之间进行通信。 + +在打包之前,需要修改`conf/config.properties`文件,修改IGinX中有关Zookeeper和IoTDB的参数设置,将用于访问两个服务的ip地址改为服务的hostname,否则IGinX将无法访问Zookeeper和IoTDB服务。 + +```properties +# IoTDB:iotdb12 (第一个#前的参数) +# ZooKeeper:zkServer +storageEngineList=iotdb12#6667#iotdb12#username=root#password=root#sessionPoolSize=20#has_data=false#is_read_only=false +zookeeperConnectionString=zkServer:2181 +``` + +Zookeeper和IoTDB服务的hostname可以在`$IGINX_HOME/docker/oneShot/docker-compose.yaml`中进行自定义: + +```yaml +services: + zookeeper: + hostname: "custom_zookeeper_hostname" #默认为zkServer + iotdb: + hostname: "custom_IoTDB_hostname" #默认为iotdb12 +# conf/config.properties 应该做相应改变 +``` + +修改完成后,运行以下命令进行镜像的构建和运行: + +```shell +$ cd docker/oneShot +$ ./build_and_run_iginx_docker.sh +``` + +显示出如下的字样表示镜像构建成功并且成功启动: + +```shell +[+] Building 729.6s (12/12) FINISHED +=> [iginx internal] load .dockerignore 0.0s +=> => transferring context: 2B 0.0s +=> [iginx internal] load build definition from Dockerfile 0.0st +=> => transferring dockerfile: 384B 0.0s +=> [iginx internal] load metadata for docker.io/library/maven:3-amazoncorretto-8 5.5s2 +=> [iginx internal] load metadata for docker.io/library/amazoncorretto:8 5.6s +=> CACHED [iginx stage-1 1/2] FROM docker.io/library/amazoncorretto:8@sha256:f9290c74c5587f1e651bd4f0b783f8342aba347d84 0.0s +=> [iginx internal] load build context 0.8s +=> => transferring context: 1.64MB 0.8s/ +=> CACHED [iginx builder 1/4] FROM docker.io/library/maven:3-amazoncorretto-8@sha256:c9d6016fad9c479b874f270a80d80f8913 0.0s +=> [iginx builder 2/4] COPY . /root/IGinX 1.0s +=> [iginx builder 3/4] WORKDIR /root/IGinX 0.1s +=> [iginx builder 4/4] RUN --mount=type=cache,target=/root/.m2 mvn clean package -pl core,dataSources/iotdb12 -am -Dm 721.4s +=> [iginx stage-1 2/2] COPY --from=builder /root/IGinX/core/target/iginx-core-dev /root/IGinX 0.1s +=> [iginx] exporting to image 0.4s +=> => exporting layers 0.3s +=> => writing image sha256:3e83d7c3510bd41f9e0404bef932e1c7f48bed869dccac3ba070cbc2b29b966c 0.0s +=> => naming to docker.io/library/oneshot-iginx 0.0s +[+] Running 4/4 +✔ Network oneshot_net Created 0.6s +✔ Container iotdb Started 1.6s +✔ Container zookeeper Started 1.6s +✔ Container iginx1 Started +``` + +开启容器后,可以通过127.0.0.1:10001访问IGinX服务。 + +## onlyIginx 镜像 + +**注:在开始构建镜像前需要把 IGinX 配置的网络地址参数进行更改,将`conf/config.properties`中所有的“127.0.0.1”更改为“host.docker.internal”,以便IGinX容器与宿主机的ZooKeeper服务和数据库进程进行通信** + +对于 onlyIginx 镜像,其构建方法如下: + +```shell +$ cd docker/onlyIginx +$ ./build_iginx_docker.sh +``` + +显示出如下的字样表示镜像构建成功: + +```shell +[+] Building 887.9s (12/12) FINISHED +=> [internal] load build definition from Dockerfile-iginx 0.1s +=> => transferring dockerfile: 406B 0.0s +=> [internal] load .dockerignore 0.1s +=> => transferring context: 2B 0.0s +=> [internal] load metadata for docker.io/library/openjdk:11-jre-slim 5.3s +=> [internal] load metadata for docker.io/library/maven:3-amazoncorretto-8 3.3s +=> [internal] load build context 3.6s +=> => transferring context: 475.61MB 3.5s +=> CACHED [builder 1/4] FROM docker.io/library/maven:3-amazoncorretto-8@sha256:c9d6016fad9c479b874f270a80d80f891 0.0s +=> [stage-1 1/2] FROM docker.io/library/openjdk:11-jre-slim@sha256:93af7df2308c5141a751c4830e6b6c5717db102b3b31 38.3s +=> => resolve docker.io/library/openjdk:11-jre-slim@sha256:93af7df2308c5141a751c4830e6b6c5717db102b3b31f012ea29d 0.1s +=> => sha256:764a04af3eff09cc6a29bcc19cf6315dbea455d7392c1a588a5deb331a929c29 7.55kB / 7.55kB 0.0s +=> => sha256:1efc276f4ff952c055dea726cfc96ec6a4fdb8b62d9eed816bd2b788f2860ad7 31.37MB / 31.37MB 25.6s +=> => sha256:a2f2f93da48276873890ac821b3c991d53a7e864791aaf82c39b7863c908b93b 1.58MB / 1.58MB 2.7s +=> => sha256:12cca292b13cb58fadde25af113ddc4ac3b0c5e39ab3f1290a6ba62ec8237afd 212B / 212B 1.2s +=> => sha256:93af7df2308c5141a751c4830e6b6c5717db102b3b31f012ea29d842dc4f2b02 549B / 549B 0.0s +=> => sha256:884c08d0f406a81ae1b5786932abaf399c335b997da7eea6a30cc51529220b66 1.16kB / 1.16kB 0.0s +=> => sha256:d73cf48caaac2e45ad76a2a9eb3b311d0e4eb1d804e3d2b9cf075a1fa31e6f92 46.04MB / 46.04MB 37.3s +=> => extracting sha256:1efc276f4ff952c055dea726cfc96ec6a4fdb8b62d9eed816bd2b788f2860ad7 1.0s +=> => extracting sha256:a2f2f93da48276873890ac821b3c991d53a7e864791aaf82c39b7863c908b93b 0.1s +=> => extracting sha256:12cca292b13cb58fadde25af113ddc4ac3b0c5e39ab3f1290a6ba62ec8237afd 0.0s +=> => extracting sha256:d73cf48caaac2e45ad76a2a9eb3b311d0e4eb1d804e3d2b9cf075a1fa31e6f92 0.7s +=> [builder 2/4] COPY . /root/iginx 1.3s +=> [builder 3/4] WORKDIR /root/iginx 0.1s +=> [builder 4/4] RUN mvn clean package -DskipTests -P-format 876.3s +=> [stage-1 2/2] COPY --from=builder /root/iginx/core/target/iginx-core-0.6.0-SNAPSHOT /iginx 0.2s +=> exporting to image 0.5s +=> => exporting layers 0.5s +=> => writing image sha256:e738348598c9db601dbf39c7a8ca9e1396c5ff51769afeb0fe3da12e2fdcd73a 0.0s +=> => naming to docker.io/library/iginx:0.6.0 +``` + +接下来开始运行镜像 +考虑到 IGinX 和ZooKeeper、数据库服务之间通过网络进行通讯,因此需要建立 Docker 网络,允许其通过网络互联。在这里我们创建一个名为 docker-cluster-iginx 的 bridge 网络: + +```shell +$ docker network create -d bridge --attachable --subnet 172.40.0.0/16 docker-cluster-iginx +# 172.40.0.0 是该网桥的ip,用户可以自定义,一般以172开头 +``` + +然后启动 Zookeeper: + +```shell +$ cd ${zookeeper_path} +$ ./bin/zkServer.sh start +``` + +然后启动一个 IoTDB 实例: + +```shell +$ cd ${iotdb_path} +# ./sbin/start-server.sh +``` + +最后启动 IGinX,选择使用 zookeeper 作为元数据存储后端,并设置后端存储为刚刚启动的 IoTDB 实例即可完成整个系统的启动: + +```shell +$ cd ${iginx_path}/docker/onlyIginx +$ ./run_iginx_docker.sh x.x.x.x 10000 +# x.x.x.x 为用户赋予该IGinX容器的ip地址,需要在docker-cluster-iginx网桥的ip范围内,例如172.40.0.2,不可以使用默认网关172.40.0.1 +# 10001为IGinX容器映射到宿主机的端口,用户可以根据自己的主机情况自定义 +``` + +该命令会将本地的 10001 接口暴露出来,作为与 IGinX 集群的通讯接口。在宿主机上通过地址 127.0.0.1:10000 即可开始访问 IGinX。 diff --git a/docs/quickStarts/IGinXBySource-EnglishVersion.md b/docs/quickStarts/IGinXBySource-EnglishVersion.md new file mode 100644 index 0000000000..f51b4e4016 --- /dev/null +++ b/docs/quickStarts/IGinXBySource-EnglishVersion.md @@ -0,0 +1,568 @@ +# IGinX Installation Manual - By Source (Compilation and Installation) + +[TOC] + +IGinX is an open source polystore system. A polystore system provides an integrated data management service over a set of one or more potentially heterogeneous database/storage engines, serving heterogeneous workloads. + +Currently, IGinX directly supports big data service over relational database PostgreSQL, time series databases InfluxDB/IoTDB/TimescaleDB/OpenTSDB, and Parquet data files. + +## Download and Installation + +### Java Installation + +Since ZooKeeper, IGinX and IoTDB are all developed using Java, Java needs to be installed first. If a running environment of JDK >= 1.8 has been installed locally, **skip this step entirely**. + +1. First, visit the [official Java website](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html) to download the JDK package for your current system. + +2. Installation + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # unzip files +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +4. Use java -version to determine whether JDK installed successfully. + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +If the words above are displayed, it means the installation was successful. + +### Maven Installation + +Maven is a build automation tool used primarily to build and managa Java projects. If you need to compile from the source code, you also need to install a Maven environment >= 3.6. Otherwise, **skip this step entirely**. + +1. Visit the [official website](http://maven.apache.org/download.cgi)to download and unzip Maven + +```shell +$ wget http://mirrors.hust.edu.cn/apache/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz +$ tar -xvf apache-maven-3.3.9-bin.tar.gz +$ sudo mv -f apache-maven-3.3.9 /usr/local/ +``` + +2. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export MAVEN_HOME=/usr/local/apache-maven-3.3.9 +export PATH=${PATH}:${MAVEN_HOME}/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +3. Type mvn -v to determine whether Maven installed successfully. + +```shell +$ mvn -v +Apache Maven 3.6.1 (d66c9c0b3152b2e69ee9bac180bb8fcc8e6af555; 2019-04-05T03:00:29+08:00) +``` + +If the words above are displayed, that means the installation was successful. + +### Node.js Installation + +The project requires Node.js installation. If you already have it installed on your device, **skip this part**. + +1. Download Node.js package from [here](https://nodejs.org/en/download). + +```shell +$ cd ~ +$ wget https://nodejs.org/dist/v18.16.1/node-v18.16.1-linux-x64.tar.xz +$ tar -zxvf node-v18.16.1-linux-x64.tar.xz +$ sudo mv -f node-v18.16.1-linux-x64 /usr/local/ +``` + +2. Add environment variable. + +Attach code below to file `~/.bashrc` + +```shell +export NODEJS_HOME=/usr/local/node-v18.16.1-linux-x64 +export PATH=${PATH}:${NODEJS_HOME}/bin +``` + +Load file `~/.bashrc` to apply changes. + +```shell +$ source ~/.bashrc +``` + +Confirm the Installation by testing `npm` command + +```shell +$ npm -v +9.5.1 +``` + +### ZooKeeper Installation + +ZooKeeper enables highly reliable distributed coordination. In IGinX, ZooKeeper makes it possible to have more than one IGinX instances deployed. + +1. Download ZooKeeper package from [here](https://zookeeper.apache.org/releases.html). + +```shell +$ cd ~ +$ wget https://dlcdn.apache.org/zookeeper/zookeeper-3.7.2/apache-zookeeper-3.7.2-bin.tar.gz +$ tar -zxvf apache-zookeeper-3.7.2-bin.tar.gz +``` + +2. Modify config. + +```shell +$ cd apache-zookeeper-3.7.2-bin/ +$ mkdir data +$ cp conf/zoo_sample.cfg conf/zoo.cfg +``` + +Modify file`conf/zoo.cfg`. + +```shell +# Original conf/zoo.cfg +dataDir=/tmp/zookeeper +# ↓ change to +dataDir=data +``` + +### IoTDB Installation + +IoTDB is Apache's Apache IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. + +The specific installation method is as follows: + +```shell +$ cd ~ +$ wget https://mirrors.bfsu.edu.cn/apache/iotdb/0.12.0/apache-iotdb-0.12.0-server-bin.zip +$ unzip apache-iotdb-0.12.0-server-bin.zip +``` + +### IGinX Installation + +Compile with source code. If you need to modify code yourself, you can use this installation method. + +#### Compilation with source code + +Fetch the latest development version and build it locally. + +```shell +$ cd ~ +$ git clone git@github.com:IGinX-THU/IGinX.git +$ cd IGinX +$ mvn clean install -Dmaven.test.skip=true +``` + +The following words are displayed, indicating that the IGinX build is successful: + +```shell +[INFO] ------------------------------------------------------------------------ +[INFO] Reactor Summary for IGinX 0.6.0-SNAPSHOT: +[INFO] +[INFO] IGinX .............................................. SUCCESS [ 20.674 s] +[INFO] IGinX Thrift ....................................... SUCCESS [01:18 min] +[INFO] IGinX Shared ....................................... SUCCESS [ 8.101 s] +[INFO] IGinX Session ...................................... SUCCESS [ 3.168 s] +[INFO] IGinX Antlr ........................................ SUCCESS [ 16.170 s] +[INFO] IGinX Core ......................................... SUCCESS [03:35 min] +[INFO] IGinX Client ....................................... SUCCESS [ 11.159 s] +[INFO] IGinX JDBC ......................................... SUCCESS [ 3.426 s] +[INFO] IGinX IoTDB12 ...................................... SUCCESS [ 31.081 s] +[INFO] IGinX InfluxDB ..................................... SUCCESS [ 17.516 s] +[INFO] IGinX OpenTSDB ..................................... SUCCESS [ 11.103 s] +[INFO] IGinX PostgreSQL ................................... SUCCESS [ 4.449 s] +[INFO] IGinX Parquet ...................................... SUCCESS [01:28 min] +[INFO] IGinX Redis ........................................ SUCCESS [ 9.875 s] +[INFO] IGinX MongoDB ...................................... SUCCESS [ 10.020 s] +[INFO] IGinX Example ...................................... SUCCESS [ 3.864 s] +[INFO] IGinX Test ......................................... SUCCESS [ 5.490 s] +[INFO] Zeppelin on IGinX .................................. SUCCESS [ 25.019 s] +[INFO] IGinX Tools for CSV export ......................... SUCCESS [ 2.860 s] +[INFO] ------------------------------------------------------------------------ +[INFO] BUILD SUCCESS +[INFO] ------------------------------------------------------------------------ +[INFO] Total time: 09:25 min +[INFO] Finished at: 2023-06-20T10:28:24+08:00 +[INFO] ------------------------------------------------------------------------ +``` + +## Launch + +### IoTDB + +First of all, you need to launch IoTDB. + +```shell +$ cd ~ +$ cd apache-iotdb-0.12.0-server-bin/ +$ ./sbin/start-server.sh +``` + +The following display of words means the IoTDB installation was successful: + +```shell +2021-05-27 08:21:07,440 [main] INFO o.a.i.d.s.t.ThriftService:125 - IoTDB: start RPC ServerService successfully, listening on ip 0.0.0.0 port 6667 +2021-05-27 08:21:07,440 [main] INFO o.a.i.db.service.IoTDB:129 - IoTDB is set up, now may some sgs are not ready, please wait several seconds... +2021-05-27 08:21:07,448 [main] INFO o.a.i.d.s.UpgradeSevice:109 - finish counting upgrading files, total num:0 +2021-05-27 08:21:07,449 [main] INFO o.a.i.d.s.UpgradeSevice:74 - Waiting for upgrade task pool to shut down +2021-05-27 08:21:07,449 [main] INFO o.a.i.d.s.UpgradeSevice:76 - Upgrade service stopped +2021-05-27 08:21:07,449 [main] INFO o.a.i.db.service.IoTDB:146 - Congratulation, IoTDB is set up successfully. Now, enjoy yourself! +2021-05-27 08:21:07,450 [main] INFO o.a.i.db.service.IoTDB:93 - IoTDB has started. +``` + +### ZooKeeper + +Then, launch ZooKeeper. + +```shell +$ cd ~ +$ cd apache-zookeeper-3.7.2-bin/ +$ ./bin/zkServer.sh start +``` + +You will see messages as below if ZooKeeper is successfully started. + +```shell +ZooKeeper JMX enabled by default +Using config: /home/root/apache-zookeeper-3.7.2-bin/bin/../conf/zoo.cfg +Starting zookeeper ... STARTED +``` + +### IGinX + +Using source code to launch + +```shell +$ cd ~ +$ cd IGinX +$ chmod +x startIginX.sh # enable permissions for startup scripts +$ ./startIginX.sh +``` + +The following display of words means the IGinX installation was successful: + +```shell +May 27, 2021 8:32:19 AM org.glassfish.grizzly.http.server.NetworkListener start +INFO: Started listener bound to [127.0.0.1:6666] +May 27, 2021 8:32:19 AM org.glassfish.grizzly.http.server.HttpServer start +INFO: [HttpServer] Started. +08:32:19.446 [Thread-0] INFO cn.edu.tsinghua.iginx.rest.RestServer - IGinX REST server has been available at http://127.0.0.1:6666/. +``` + +## Using IGinX + +### RESTful Interface + +After the startup is complete, you can easily use the RESTful interface to write and query data to IGinX. + +Create a file insert.json and add the following into it: + +```json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2 ], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +``` + +Insert data into the database using the following command: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +After inserting data, you can also query the data just written using the RESTful interface. + +Create a file query.json and write the following data into it: + +```json +{ + "start_absolute" : 1, + "end_relative": { + "value": "5", + "unit": "days" + }, + "time_zone": "Asia/Kabul", + "metrics": [ + { + "name": "archive_file_tracked" + }, + { + "name": "archive_file_search" + } + ] +} +``` + +Enter the following command to query the data: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +The command will return information about the data point just inserted: + +```json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +``` + +If you see the following information returned, it means you are able to successfully use RESTful interface to write and query data to IGinX. + +For more interfaces, please refer to the official [IGinX manual](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf). + +If you want to use a different interface, there is another option. + +In addition to the RESTful interface, IGinX also provides the RPC data access interface. For this specific interface, please refer to the official [IGinX manual](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf). + +At the same time, IGinX also provides some official examples, showing the most common usage of the RPC interface. + +Below is a short tutorial on how to use it. + +### RPC Interface + +Since the IGinX 0.5.1 version has not been released to the Maven central repository, if you want to use it, you need to manually install it to the local Maven repository. + +The specific installation method is as follows: + +```shell +# download iginx 0.4 release version source code package +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# Unzip the source package +$ tar -zxvf v0.5.1.tar.gz +# go to the main project's directory +$ cd IGinX-rc-v0.5.1 +# Install to local Maven repository +$ mvn clean install -DskipTests +``` + +Specifically, when using it, you only need to introduce the following dependencies in the pom file of the corresponding project: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +Before accessing IGinX, you first need to create a session and try to connect. The Session constructor has 4 parameters, which are the ip and port IGinX will to connect to, and the username and password for IGinX authentication. The current authentication system is still being written, so the account name and password to access the backend IGinX can directly fill in root: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +You can then try to insert data into IGinX. Since IGinX supports the creation of time-series when data is written for the first time, there is no need to call the relevant series creation interface in advance. IGinX provides row-style and column-style data writing interfaces. + +The following is an example of using the column-style data writing interface: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values = new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +After completing the data writing, you can use the data query interface to query the data just written: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +You can also use the downsampling aggregation query interface to query the interval statistics of the data: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + // MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + // FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} +``` + +After the session is completed, you need to manually close and release your connection from your terminal/backend: + +```shell +session.closeSession(); +``` + +For the full version of the code, please refer to: https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/IoTDBSessionExample.java diff --git a/docs/quickStarts/IGinXBySource.md b/docs/quickStarts/IGinXBySource.md new file mode 100644 index 0000000000..616e81cb3b --- /dev/null +++ b/docs/quickStarts/IGinXBySource.md @@ -0,0 +1,563 @@ +# IGinX 安装使用教程(编译安装) + +[TOC] + +IGinX是清华大学“清华数为”大数据软件栈的“大数据总线”,面向解决用户在大数据场景下“管数烦、用数难”的问题而研发。它的特色包括“负载均衡弹性好、异构关联全局化、数据使用不搬家、Python集成便利大、SQL输入实时查”。 + +IGinX支持用户一体化管理已存储在不同系统中的数据资产,也支持用户统一读写、查询、关联特定系统中的数据。目前,IGinX支持一体化管理包括关系数据库PostgreSQL、时序数据库InfluxDB/IotDB/TimescaleDB/OpenTSDB、大数据文件Parquet集合等存储的数据。 + +## 安装 + +### Java 安装 + +由于 ZooKeeper、IGinX 以及 IoTDB 都是使用 Java 开发的,因此首先需要安装 Java。如果本地已经安装了 JDK>=1.8 的运行环境,**直接跳过此步骤**。 + +1. 首先访问 [Java官方网站](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html)下载适用于当前系统的 JDK 包。 +2. 安装 + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # 解压文件 +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +4. 使用 java -version 判断 JDK 是否安装成功 + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +如果显示出如上的字样,则表示安装成功。 + +### Maven 安装 + +Maven 是 Java 项目管理和自动构建工具,如果您需要从源码进行编译,还需要安装 Maven >= 3.6 的环境,否则,**直接跳过此步骤**。 + +1. 访问[官网](http://maven.apache.org/download.cgi)下载并解压 Maven + +``` +$ wget http://mirrors.hust.edu.cn/apache/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz + +$ tar -xvf apache-maven-3.3.9-bin.tar.gz + +$ sudo mv -f apache-maven-3.3.9 /usr/local/ +``` + +2. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export MAVEN_HOME=/usr/local/apache-maven-3.3.9 +export PATH=${PATH}:${MAVEN_HOME}/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +3. 使用 mvn -v 判断 Maven 是否安装成功 + +```shell +$ mvn -v +Apache Maven 3.6.1 (d66c9c0b3152b2e69ee9bac180bb8fcc8e6af555; 2019-04-05T03:00:29+08:00) +``` + +如果显示出如上的字样,则表示安装成功。 + +### Node.js 安装 + +Node.js是跨平台、轻量级的JavaScript运行环境,项目使用npm管理相关的Node.js包。 + +1. 访问[官网](https://nodejs.org/en/download),下载并解压Node.js + +```shell +$ cd ~ +$ wget https://nodejs.org/dist/v18.16.1/node-v18.16.1-linux-x64.tar.xz +$ tar -zxvf node-v18.16.1-linux-x64.tar.xz +$ sudo mv -f node-v18.16.1-linux-x64 /usr/local/ +``` + +2. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下两行: + +```shell +export NODEJS_HOME=/usr/local/node-v18.16.1-linux-x64 +export PATH=${PATH}:${NODEJS_HOME}/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +3. 使用 npm -v 判断是否安装成功 + +```shell +$ npm -v +9.5.1 +``` + +### ZooKeeper 安装 + +ZooKeeper 是 Apache 推出的开源的分布式应用程序协调服务。如果您需要部署大于一个 IGinX 实例,则需要安装 ZooKeeper + +具体安装方式如下: + +1. 访问[官网](https://zookeeper.apache.org/releases.html)下载并解压 ZooKeeper + +```shell +$ cd ~ +$ wget https://dlcdn.apache.org/zookeeper/zookeeper-3.7.2/apache-zookeeper-3.7.2-bin.tar.gz +$ tar -zxvf apache-zookeeper-3.7.2-bin.tar.gz +``` + +2. 修改 ZooKeeper 默认配置文件 + +```shell +$ cd apache-zookeeper-3.7.2-bin/ +$ mkdir data +$ cp conf/zoo_sample.cfg conf/zoo.cfg +``` + +然后编辑 conf/zoo.cfg 文件,将 + +```shell +dataDir=/tmp/zookeeper +``` + +修改为 + +```shell +dataDir=data +``` + +### IoTDB 安装 + +IoTDB 是 Apache 推出的时序数据库,具体安装方式如下: + +```shell +$ cd ~ +$ wget https://mirrors.bfsu.edu.cn/apache/iotdb/0.12.0/apache-iotdb-0.12.0-server-bin.zip +$ unzip apache-iotdb-0.12.0-server-bin.zip +``` + +### IGinX 安装 + +拉取最新开发版本,并进行本地构建 + +```shell +$ cd ~ +$ git clone git@github.com:IGinX-THU/IGinX.git +$ cd IGinX +$ mvn clean install -Dmaven.test.skip=true +``` + +显示出如下字样,表示 IGinX 构建成功: + +```shell +[INFO] ------------------------------------------------------------------------ +[INFO] Reactor Summary for IGinX 0.6.0-SNAPSHOT: +[INFO] +[INFO] IGinX .............................................. SUCCESS [ 20.674 s] +[INFO] IGinX Thrift ....................................... SUCCESS [01:18 min] +[INFO] IGinX Shared ....................................... SUCCESS [ 8.101 s] +[INFO] IGinX Session ...................................... SUCCESS [ 3.168 s] +[INFO] IGinX Antlr ........................................ SUCCESS [ 16.170 s] +[INFO] IGinX Core ......................................... SUCCESS [03:35 min] +[INFO] IGinX Client ....................................... SUCCESS [ 11.159 s] +[INFO] IGinX JDBC ......................................... SUCCESS [ 3.426 s] +[INFO] IGinX IoTDB12 ...................................... SUCCESS [ 31.081 s] +[INFO] IGinX InfluxDB ..................................... SUCCESS [ 17.516 s] +[INFO] IGinX OpenTSDB ..................................... SUCCESS [ 11.103 s] +[INFO] IGinX PostgreSQL ................................... SUCCESS [ 4.449 s] +[INFO] IGinX Parquet ...................................... SUCCESS [01:28 min] +[INFO] IGinX Redis ........................................ SUCCESS [ 9.875 s] +[INFO] IGinX MongoDB ...................................... SUCCESS [ 10.020 s] +[INFO] IGinX Example ...................................... SUCCESS [ 3.864 s] +[INFO] IGinX Test ......................................... SUCCESS [ 5.490 s] +[INFO] Zeppelin on IGinX .................................. SUCCESS [ 25.019 s] +[INFO] IGinX Tools for CSV export ......................... SUCCESS [ 2.860 s] +[INFO] ------------------------------------------------------------------------ +[INFO] BUILD SUCCESS +[INFO] ------------------------------------------------------------------------ +[INFO] Total time: 09:25 min +[INFO] Finished at: 2023-06-20T10:28:24+08:00 +[INFO] ------------------------------------------------------------------------ +``` + +## 启动 + +### IoTDB + +首先需要启动 IoTDB。 + +```shell +$ cd ~ +$ cd apache-iotdb-0.12.0-server-bin/ +$ ./sbin/start-server.sh +``` + +显示出如下字样,表示 IoTDB 启动成功: + +```shell +2021-05-27 08:21:07,440 [main] INFO o.a.i.d.s.t.ThriftService:125 - IoTDB: start RPC ServerService successfully, listening on ip 0.0.0.0 port 6667 +2021-05-27 08:21:07,440 [main] INFO o.a.i.db.service.IoTDB:129 - IoTDB is set up, now may some sgs are not ready, please wait several seconds... +2021-05-27 08:21:07,448 [main] INFO o.a.i.d.s.UpgradeSevice:109 - finish counting upgrading files, total num:0 +2021-05-27 08:21:07,449 [main] INFO o.a.i.d.s.UpgradeSevice:74 - Waiting for upgrade task pool to shut down +2021-05-27 08:21:07,449 [main] INFO o.a.i.d.s.UpgradeSevice:76 - Upgrade service stopped +2021-05-27 08:21:07,449 [main] INFO o.a.i.db.service.IoTDB:146 - Congratulation, IoTDB is set up successfully. Now, enjoy yourself! +2021-05-27 08:21:07,450 [main] INFO o.a.i.db.service.IoTDB:93 - IoTDB has started. +``` + +### ZooKeeper + +启动IGinX前,需要启动ZooKeeper。 + +```shell +$ cd ~ +$ cd apache-zookeeper-3.7.2-bin/ +$ ./bin/zkServer.sh start +``` + +显示出如下字样,表示 ZooKeeper 启动成功 + +```shell +ZooKeeper JMX enabled by default +Using config: /home/root/apache-zookeeper-3.7.2-bin/bin/../conf/zoo.cfg +Starting zookeeper ... STARTED +``` + +### IGinX + +使用源码启动 + +```shell +$ cd ~ +$ cd IGinX/core/target/iginx-core-0.6.0-SNAPSHOT +$ chmod +x sbin/start_iginx.sh # 为启动脚本添加启动权限 +$ ./sbin/start_iginx.sh +``` + +显示出如下字样,表示 IGinX 启动成功: + +```shell +May 27, 2021 8:32:19 AM org.glassfish.grizzly.http.server.NetworkListener start +INFO: Started listener bound to [127.0.0.1:6666] +May 27, 2021 8:32:19 AM org.glassfish.grizzly.http.server.HttpServer start +INFO: [HttpServer] Started. +08:32:19.446 [Thread-0] INFO cn.edu.tsinghua.iginx.rest.RestServer - Iginx REST server has been available at http://127.0.0.1:6666/. +``` + +## 访问 IGinX + +### RESTful 接口 + +启动完成后,可以便捷地使用 RESTful 接口向 IGinX 中写入并查询数据。 + +创建文件 insert.json,并向其中添加如下的内容: + +```json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2 ], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +``` + +使用如下的命令即可向数据库中插入数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +在插入数据后,还可以使用 RESTful 接口查询刚刚写入的数据。 + +创建文件 query.json,并向其中写入如下的数据: + +```json +{ + "start_absolute" : 1, + "end_relative": { + "value": "5", + "unit": "days" + }, + "time_zone": "Asia/Kabul", + "metrics": [ + { + "name": "archive_file_tracked" + }, + { + "name": "archive_file_search" + } + ] +} +``` + +使用如下的命令查询数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +命令会返回刚刚插入的数据点信息: + +```json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +``` + +更多接口可以参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf) 。 + +### RPC 接口 + +除了 RESTful 接口外,IGinX 还提供了 RPC +的数据访问接口,具体接口参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf),同时 IGinX +还提供了部分[官方 example](https://github.com/IGinX-THU/IGinX/tree/main/example/src/main/java/cn/edu/tsinghua/iginx/session),展示了 +RPC 接口最常见的用法。 + +下面是一个简短的使用教程。 + +由于目前 IGinX 0.5.1 版本还未发布到 maven 中央仓库,因此如需使用的话,需要手动安装到本地的 maven 仓库。具体安装方式如下: + +```shell +# 下载 IGinX 0.5.1 release 版本源码包 +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# 解压源码包 +$ tar -zxvf v0.5.1.tar.gz +# 进入项目主目录 +$ cd IGinX-rc-v0.5.1 +# 安装到本地 maven 仓库 +$ mvn clean install -DskipTests +``` + +具体在使用时,只需要在相应的项目的 pom 文件中引入如下的依赖: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +在访问 IGinX 之前,首先需要创建 session,并尝试连接。Session 构造器有 4 个参数,分别是要连接的 IGinX 的 ip,port,以及用于 IGinX 认证的用户名和密码。目前的权鉴系统还在编写中,因此访问后端 +IGinX 的账户名和密码直接填写 root 即可: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +随后可以尝试向 IGinX 中插入数据。由于 IGinX 支持在数据首次写入时创建时间序列,因此并不需要提前调用相关的序列创建接口。IGinX 提供了行式和列式的数据写入接口,以下是列式数据写入接口的使用样例: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values = new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +在完成数据写入后,可以使用数据查询接口查询刚刚写入的数据: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +还可以使用降采样聚合查询接口来查询数据的区间统计值: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + // MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + // FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} + +``` + +最终使用完 session 后需要手动关闭,释放连接: + +```shell +session.closeSession(); +``` + +完整版使用代码可以参考:https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/IoTDBSessionExample.java diff --git a/docs/quickStarts/IGinXCluster-EnglishVersion.md b/docs/quickStarts/IGinXCluster-EnglishVersion.md new file mode 100644 index 0000000000..84a57f9b37 --- /dev/null +++ b/docs/quickStarts/IGinXCluster-EnglishVersion.md @@ -0,0 +1,478 @@ +# IGinX Installation and Use Manual (Cluster) + +[TOC] + +IGinX is an open source polystore system. A polystore system provides an integrated data management service over a set of one or more potentially heterogeneous database/storage engines, serving heterogeneous workloads. + +Currently, IGinX directly supports big data service over relational database PostgreSQL, time series databases InfluxDB/IoTDB/TimescaleDB/OpenTSDB, and Parquet data files. + +## Download and Installation + +### Java Installation + +Since ZooKeeper, IGinX and IoTDB are all developed using Java, Java needs to be installed first. If a running environment of JDK >= 1.8 has been installed locally, **skip this step entirely**. + +1. First, visit the [official Java website](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html) to download the JDK package for your current system. + +2. Installation + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # unzip files +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +4. Use java -version to determine whether JDK installed successfully. + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +If the words above are displayed, it means the installation was successful. + +#### ZooKeeper Installation + +ZooKeeper is an open-source server for highly reliable distributed coordination of cloud applications, launched by Apache. If you need to deploy more than one instance of IGinX, you will need to install ZooKeeper. Otherwise, **skip this step entirely** + +The specific installation method is as follows, + +1. Visit the [official website](https://zookeeper.apache.org/releases.html)to download and unzip ZooKeeper + +```shell +$ cd ~ +$ wget https://dlcdn.apache.org/zookeeper/zookeeper-3.7.2/apache-zookeeper-3.7.2-bin.tar.gz +$ tar -zxvf apache-zookeeper-3.7.2-bin.tar.gz +``` + +2. Modify the default ZooKeeper profile + +```shell +$ cd apache-zookeeper-3.7.2-bin/ +$ mkdir data +$ cp conf/zoo_sample.cfg conf/zoo.cfg +``` + +Then edit the conf/zoo.cfg file and + +```shell +dataDir=/tmp/zookeeper +``` + +Modify to + +```shell +dataDir=data +``` + +#### IoTDB Installation + +IoTDB is Apache's Apache IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. + +The specific installation method is as follows: + +```shell +$ cd ~ +$ wget https://mirrors.bfsu.edu.cn/apache/iotdb/0.12.0/apache-iotdb-0.12.0-server-bin.zip +$ unzip apache-iotdb-0.12.0-server-bin.zip +``` + +### IGinX Installation + +Go directly to the [IGinX project](https://github.com/IGinX-THU/IGinX) and download the [IGinX project release package](https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-release-v0.5.1-bin.tar.gz). That's it. + +## Launch + +Here is an example of starting one or two IGinX instances and two IoTDB instances to demonstrate how to start an IGinX cluster. + +### Start multiple IoTDB instances + +Here is an example of starting two instances with ports 6667 and 7667 on a single machine. + +Modify the configuration file IOTDB_HOME/conf/iotdb-engine.properties + +```shell +rpc_port=6667 +``` + +Start the first instance: + +```shell +$ cd ~ +$ cd apache-iotdb-0.12.0-server-bin/ +$ ./sbin/start-server.sh # start instance one 127.0.0.1:6667 +``` + +Modify the configuration file conf/iotdb-engine.properties + +```shell +rpc_port=7667 +``` + +Start the second instance: + +```shell +$ ./sbin/start-server.sh # Start instance two 127.0.0.1: 7667 +``` + +### Start ZooKeeper + +```shell +$ cd ~ +$ cd apache-zookeeper-3.7.2-bin/ +$ ./bin/zkServer.sh start +``` + +The following display of words means the ZooKeeper installation and launch was successful: + +```shell +ZooKeeper JMX enabled by default +Using config: /home/root/apache-zookeeper-3.7.2-bin/bin/../conf/zoo.cfg +Starting zookeeper ... STARTED +``` + +### Start multiple IGinX instances + +Modify IGINX_HOME/conf/config.Properties to join the two IoTDB instances that already started + +```shell +storageEngineList=127.0.0.1#6667#iotdb12#username=root#password=root#sessionPoolSize=20#has_data=false#is_read_only=false,127.0.0.1#7667#iotdb12#username=root#password=root#sessionPoolSize=20#has_data=false#is_read_only=false + +#Storage method selection ZooKeeper +metaStorage=zookeeper + +# Provide ZooKeeper port +zookeeperConnectionString=127.0.0.1:2181 + +# Comment out file, etcd related configuration, ignore it if not found +# fileDataDir=meta +# etcdEndpoints=http://localhost:2379 +``` + +Start the first IGinX instance + +```shell +$ cd ~ +$ cd Iginx +$ chmod +x sbin/start_iginx.sh # Add startup permissions to the startup script +$ ./sbin/start_iginx.sh +``` + +Modify conf/config.Properties + +```shell +# IGinX binding port +port=7888 +# rest bind port +restPort=7666 +``` + +Launch a second instance of IGinX. + +```shell +$ ./sbin/start_iginx.sh +``` + +## Access IGinX + +### RESTful Interface + +After the startup is complete, you can easily use the RESTful interface to write and query data to IGinX. + +Create the file insert.json and add the following to it: + +```json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +``` + +Insert data into the database from an IGinX instance using the following command: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +After inserting data, you can also query the data just written using the RESTful interface. + +Create a file query.json and write the following data to it: + +```json +{ +"start_absolute" : 1, +"end_relative": { +"value": "5", +"unit": "days" +}, +"time_zone": "Asia/Kabul", +"metrics": [ +{ +"name": "archive_file_tracked" +}, +{ +"name": "archive_file_search" +} +] +} +``` + +Use the following command to query data from IGinX instance two: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +The command will return information about the data point just inserted: + +```json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +``` + +For more interfaces, please refer to the official IGinX manual. + +### RPC Interface + +In addition to the RESTful interface, IGinX also provides RPC data access interface. For that specific interface, please refer to the official[IGinX Official Manual](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf). At the same time, IGinX also provides some [official examples](https://github.com/IGinX-THU/IGinX/tree/main/example/src/main/java/cn/edu/tsinghua/iginx/session), showing the most common usage of the RPC interface. + +Below is a short tutorial on how to use it. + +Since the IGinX 0.5.1 version has not been released to the maven central repository, if you want to use it, you need to manually install it to the local maven repository. The specific installation method is as follows: + +```shell +# Download IGinX 0.5.1 version source package +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# Unzip the source package +$ tar -zxvf v0.5.1.tar.gz +# Enter the project's main directory +$ cd IGinX-release-v0.5.1 +# Install to local maven repository +$ mvn clean install -DskipTests +``` + +Only when you are using it, you need to introduce the following dependencies in the pom file of the corresponding project: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +Before accessing IGinX, you first need to open a session and try to connect. The session constructor has 4 parameters, which are the ip and port of IGinX to connect to, and the username and password for IGinX authentication. The current authentication system is still being written, so the account name and password to access the backend IGinX can directly fill in root: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +You can then try to insert data into IGinX. Since IGinX supports the creation of time series when data is written for the first time, there is no need to call the relevant series creation interface in advance. IGinX provides a row-style and column-style data-writing interface. The following is a usage example of the column-style data writing interface: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values ​​= new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +After completing the data writing, you can use the data query interface to query the data just written: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +You can also use the downsampling aggregation query interface to query the interval statistics of the data: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + //MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + //FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} + +``` + +After the session is completed, you need to manually close and release your connection from your terminal/backend: + +```shell +session.closeSession(); +``` + +For the full version of the code, please refer to: https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/IoTDBSessionExample.java diff --git a/docs/quickStarts/IGinXCluster.md b/docs/quickStarts/IGinXCluster.md new file mode 100644 index 0000000000..8325f6ac38 --- /dev/null +++ b/docs/quickStarts/IGinXCluster.md @@ -0,0 +1,486 @@ +# IGinX 安装使用教程(集群) + +[TOC] + +IGinX是清华大学“清华数为”大数据软件栈的“大数据总线”,面向解决用户在大数据场景下“管数烦、用数难”的问题而研发。它的特色包括“负载均衡弹性好、异构关联全局化、数据使用不搬家、Python集成便利大、SQL输入实时查”。 + +IGinX支持用户一体化管理已存储在不同系统中的数据资产,也支持用户统一读写、查询、关联特定系统中的数据。目前,IGinX支持一体化管理包括关系数据库PostgreSQL、时序数据库InfluxDB/IotDB/TimescaleDB/OpenTSDB、大数据文件Parquet集合等存储的数据。 + +## 安装 + +### Java 安装 + +由于 ZooKeeper、IGinX 以及 IoTDB 都是使用 Java 开发的,因此首先需要安装 Java。如果本地已经安装了 JDK>=1.8 的运行环境,**直接跳过此步骤**。 + +1. 首先访问 [Java官方网站](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html)下载适用于当前系统的 JDK 包。 +2. 安装 + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # 解压文件 +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +4. 使用 java -version 判断 JDK 是否安装成功 + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +如果显示出如上的字样,则表示安装成功。 + +### ZooKeeper 安装 + +ZooKeeper 是 Apache 推出的开源的分布式应用程序协调服务。如果您需要部署大于一个 IGinX 实例,则需要安装 ZooKeeper + +ZooKeeper 是 Apache 推出的开源的分布式应用程序协调服务。具体安装方式如下: + +1. 访问[官网](https://zookeeper.apache.org/releases.html)下载并解压 ZooKeeper + +```shell +$ cd ~ +$ wget https://dlcdn.apache.org/zookeeper/zookeeper-3.7.2/apache-zookeeper-3.7.2-bin.tar.gz +$ tar -zxvf apache-zookeeper-3.7.2-bin.tar.gz +``` + +2. 修改 ZooKeeper 默认配置文件 + +```shell +$ cd apache-zookeeper-3.7.2-bin/ +$ mkdir data +$ cp conf/zoo_sample.cfg conf/zoo.cfg +``` + +然后编辑 conf/zoo.cfg 文件,将 + +```shell +dataDir=/tmp/zookeeper +``` + +修改为 + +```shell +dataDir=data +``` + +### IoTDB 安装 + +IoTDB 是 Apache 推出的时序数据库,具体安装方式如下: + +```shell +$ cd ~ +$ wget https://mirrors.bfsu.edu.cn/apache/iotdb/0.12.0/apache-iotdb-0.12.0-server-bin.zip +$ unzip apache-iotdb-0.12.0-server-bin.zip +``` + +### IGinX 安装 + +直接访问 [IGinX 项目](https://github.com/IGinX-THU/IGinX)下载 [IGinX 项目发布包](https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-release-v0.5.1-bin.tar.gz) +即可。 + +```shell +$ cd ~ +$ wget https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-release-v0.5.1-bin.tar.gz +$ tar -zxvf IGinX-release-v0.5.1-bin.tar.gz +``` + +## 启动 + +这里以启动一个两个 IGinX 实例,两个 IoTDB 实例为例子,演示如何启动 IGinX 集群 + +### 启动多个 IoTDB 实例 + +这里以单机启动两个端口分别为 6667 和 7667 的实例为例 + +修改配置文件 IOTDB_HOME/conf/iotdb-engine.properties + +```shell +rpc_port=6667 +``` + +启动第一个实例 + +```shell +$ cd ~ +$ cd apache-iotdb-0.12.0-server-bin/ +$ ./sbin/start-server.sh # 启动实例一 127.0.0.1: 6667 +``` + +修改配置文件 conf/iotdb-engine.properties + +```shell +rpc_port=7667 +``` + +启动第二个实例 + +```shell +$ ./sbin/start-server.sh # 启动实例二 127.0.0.1: 7667 +``` + +### 启动 ZooKeeper + +```shell +$ cd ~ +$ cd apache-zookeeper-3.7.2-bin/ +$ ./bin/zkServer.sh start +``` + +显示出如下字样,表示 ZooKeeper 启动成功 + +```shell +ZooKeeper JMX enabled by default +Using config: /home/root/apache-zookeeper-3.7.2-bin/bin/../conf/zoo.cfg +Starting zookeeper ... STARTED +``` + +### 启动多个 IGinX 实例 + +修改 IGINX_HOME/conf/config. Properties,加入启动的两台IoTDB实例。 + +```shell +storageEngineList=127.0.0.1#6667#iotdb12#username=root#password=root#sessionPoolSize=20#has_data=false#is_read_only=false,127.0.0.1#7667#iotdb12#username=root#password=root#sessionPoolSize=20#has_data=false#is_read_only=false + +#存储方式选择 ZooKeeper +metaStorage=zookeeper + +# 提供ZooKeeper端口 +zookeeperConnectionString=127.0.0.1:2181 + +#注释掉file、etcd相关配置,若没有相关配置,则忽视 +#fileDataDir=meta +#etcdEndpoints=http://localhost:2379 +``` + +启动第一个 IGinX 实例 + +```shell +$ cd ~ +$ cd Iginx +$ chmod +x sbin/start_iginx.sh # 为启动脚本添加启动权限 +$ ./sbin/start_iginx.sh +``` + +修改 conf/config. Properties + +```shell +# IGinX 绑定的端口 +port=7888 +# rest 绑定的端口 +restPort=7666 +``` + +启动第二个 IGinX 实例 + +```shell +$ ./sbin/start_iginx.sh +``` + +## 访问 IGinX + +### RESTful 接口 + +启动完成后,可以便捷地使用 RESTful 接口向 IGinX 中写入并查询数据。 + +创建文件 insert.json,并向其中添加如下的内容: + +```json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2 ], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +``` + +使用如下的命令即可从 IGinX 实例一向数据库中插入数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +在插入数据后,还可以使用 RESTful 接口查询刚刚写入的数据。 + +创建文件 query.json,并向其中写入如下的数据: + +```json +{ + "start_absolute" : 1, + "end_relative": { + "value": "5", + "unit": "days" + }, + "time_zone": "Asia/Kabul", + "metrics": [ + { + "name": "archive_file_tracked" + }, + { + "name": "archive_file_search" + } + ] +} +``` + +使用如下的命令从 IGinX 实例二查询数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +命令会返回刚刚插入的数据点信息: + +```json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +``` + +更多接口可以参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf) 。 + +### RPC 接口 + +除了 RESTful 接口外,IGinX 还提供了 RPC +的数据访问接口,具体接口参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf),同时 IGinX +还提供了部分[官方 example](https://github.com/IGinX-THU/IGinX/tree/main/example/src/main/java/cn/edu/tsinghua/iginx/session),展示了 +RPC 接口最常见的用法。 + +下面是一个简短的使用教程。 + +由于目前 IGinX 0.5.1 版本还未发布到 maven 中央仓库,因此如需使用的话,需要手动安装到本地的 maven 仓库。具体安装方式如下: + +```shell +# 下载 IGinX 0.5.1 release 版本源码包 +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# 解压源码包 +$ tar -zxvf v0.5.1.tar.gz +# 进入项目主目录 +$ cd IginX-release-v0.5.1 +# 安装到本地 maven 仓库 +$ mvn clean install -DskipTests +``` + +具体在使用时,只需要在相应的项目的 pom 文件中引入如下的依赖: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +在访问 IGinX 之前,首先需要创建 session,并尝试连接。Session 构造器有 4 个参数,分别是要连接的 IGinX 的 ip,port,以及用于 IGinX 认证的用户名和密码。目前的权鉴系统还在编写中,因此访问后端 +IGinX 的账户名和密码直接填写 root 即可: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +随后可以尝试向 IGinX 中插入数据。由于 IGinX 支持在数据首次写入时创建时间序列,因此并不需要提前调用相关的序列创建接口。IGinX 提供了行式和列式的数据写入接口,以下是列式数据写入接口的使用样例: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values = new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +在完成数据写入后,可以使用数据查询接口查询刚刚写入的数据: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +还可以使用降采样聚合查询接口来查询数据的区间统计值: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + // MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + // FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} + +``` + +最终使用完 session 后需要手动关闭,释放连接: + +```shell +session.closeSession(); +``` + +完整版使用代码可以参考:https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/IoTDBSessionExample.java diff --git a/docs/quickStarts/IGinXInOneShot-EnglishVersion.md b/docs/quickStarts/IGinXInOneShot-EnglishVersion.md new file mode 100644 index 0000000000..bfe81db05e --- /dev/null +++ b/docs/quickStarts/IGinXInOneShot-EnglishVersion.md @@ -0,0 +1,395 @@ +# IGinX Installation and Use Manual (One-Click Start) + +[TOC] + +IGinX is an open source polystore system. A polystore system provides an integrated data management service over a set of one or more potentially heterogeneous database/storage engines, serving heterogeneous workloads. + +Currently, IGinX directly supports big data service over relational database PostgreSQL, time series databases InfluxDB/IoTDB/TimescaleDB/OpenTSDB, and Parquet data files. + +## Installation + +### Java Installation + +Since ZooKeeper, IGinX and IoTDB are all developed using Java, Java needs to be installed first. If a running environment of JDK >= 1.8 has been installed locally, **skip this step entirely**. + +1. First, visit the [official Java website](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html) to download the JDK package for your current system. + +2. Installation + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # unzip files +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +4. Use java -version to determine whether JDK installed successfully. + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +If the words above are displayed, it means the installation was successful. + +### IGinX installation + +IGinX is the main part of the system, and the installation package can be downloaded and started with one click: + +```shell +$ cd ~ +$ wget https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-FastDeploy-v0.5.1-bin.tar.gz +$ tar -xzvf IGinX-FastDeploy-v0.5.1-bin.tar.gz +``` + +## Launch + +```shell +$ cd ~ +$ cd IGinX-FastDeploy-v0.5.0-bin +$ chmod +x ./runIginxOn1Host.sh +$ ./runIginxOn1Host.sh +``` + +The following display of words means the IGinX installation was successful: + +```shell +ZooKeeper is started! +IoTDB is started! +IGinX is started! +========================================= +You can now test IGinX. Have fun!~ +========================================= +``` + +If you encounter `file not found` error on Windows OS, try modify file `./runIginxOn1Host.bat`. + +```shell +#./runIginxOn1Host.bat +# line 2 +start "zookeeper" /d "include/apache-zookeeper-3.7.0-bin/" bin\zkServer.cmd +# ↓ change to +start "zookeeper" /d "include\apache-zookeeper-3.7.0-bin\" bin\zkServer.cmd + +# line 5 +start "iotdb" /d "include/apache-iotdb-0.12.6/sbin" start-server.bat +# ↓ change to +start "iotdb" /d "include\apache-iotdb-0.12.6\sbin" start-server.bat + +# line 9 +start "iginx" /d "./sbin" start_iginx.bat +# ↓ change to +start "iginx" /d ".\sbin" start_iginx.bat +``` + +## Using IGinX + +### RESTful interface + +After the startup is complete, you can easily use the RESTful interface to write and query data to IGinX. + +Create the file insert.json and add the following to it: + +````json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +```` + +Use the following command to insert data into the database: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +After inserting data, you can also query the data just written using the RESTful interface. + +Create a file query.json and write the following data to it: + +````json +{ +"start_absolute" : 1, +"end_relative": { +"value": "5", +"unit": "days" +}, +"time_zone": "Asia/Kabul", +"metrics": [ +{ +"name": "archive_file_tracked" +}, +{ +"name": "archive_file_search" +} +] +} +```` + +Use the following command to query the data: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +The command will return information about the data point just inserted: + +````json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +```` + +If you see the following information returned, it means you are able to successfully use RESTful interface to write and query data to IGinX. + +For more interfaces, please refer to the official [IGinX manual](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf). + +If you want to use a different interface, there is another option. + +In addition to the RESTful interface, IGinX also provides the RPC data access interface. For this specific interface, please refer to the official [IGinX manual](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf). + +At the same time, IGinX also provides some official examples, showing the most common usage of the RPC interface. + +Below is a short tutorial on how to use it. + +### RPC Interface + +Since the IGinX 0.5.1 version has not been released to the Maven central repository, if you want to use it, you need to manually install it to the local Maven repository. + +The specific installation method is as follows: + +```shell +# download iginx 0.4 release version source code package +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# Unzip the source package +$ tar -zxvf v0.5.1.tar.gz +# go to the main project's directory +$ cd IGinX-release-v0.5.1 +# Install to local Maven repository +$ mvn clean install -DskipTests +``` + +Specifically, when using it, you only need to introduce the following dependencies in the pom file of the corresponding project: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +Before accessing IGinX, you first need to create a session and try to connect. The Session constructor has 4 parameters, which are the ip and port IGinX will to connect to, and the username and password for IGinX authentication. The current authentication system is still being written, so the account name and password to access the backend IGinX can directly fill in root: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +You can then try to insert data into IGinX. Since IGinX supports the creation of time-series when data is written for the first time, there is no need to call the relevant series creation interface in advance. IGinX provides row-style and column-style data writing interfaces. + +The following is an example of using the column-style data writing interface: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values = new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +After completing the data writing, you can use the data query interface to query the data just written: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +You can also use the downsampling aggregation query interface to query the interval statistics of the data: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + // MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + // FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} +``` + +After the session is completed, you need to manually close and release your connection from your terminal/backend: + +```shell +session.closeSession(); +``` + +For the full version of the code, please refer to: https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/IoTDBSessionExample.java diff --git a/docs/quickStarts/IGinXInOneShot.md b/docs/quickStarts/IGinXInOneShot.md new file mode 100644 index 0000000000..fcbfdb4b08 --- /dev/null +++ b/docs/quickStarts/IGinXInOneShot.md @@ -0,0 +1,389 @@ +# IGinX 安装使用教程(一键启动) + +[TOC] + +IGinX是清华大学“清华数为”大数据软件栈的“大数据总线”,面向解决用户在大数据场景下“管数烦、用数难”的问题而研发。它的特色包括“负载均衡弹性好、异构关联全局化、数据使用不搬家、Python集成便利大、SQL输入实时查”。 + +IGinX支持用户一体化管理已存储在不同系统中的数据资产,也支持用户统一读写、查询、关联特定系统中的数据。目前,IGinX支持一体化管理包括关系数据库PostgreSQL、时序数据库InfluxDB/IotDB/TimescaleDB/OpenTSDB、大数据文件Parquet集合等存储的数据。 + +## 安装 + +### Java 安装 + +由于 ZooKeeper、IGinX 以及 IoTDB 都是使用 Java 开发的,因此首先需要安装 Java。如果本地已经安装了 JDK>=1.8 的运行环境,**直接跳过此步骤**。 + +1. 首先访问 [Java官方网站](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html)下载适用于当前系统的 JDK 包。 +2. 安装 + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # 解压文件 +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +4. 使用 java -version 判断 JDK 是否安装成功 + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +如果显示出如上的字样,则表示安装成功。 + +### IGinX 安装 + +IGinX 为系统的主体部分,通过一键启动安装包 + +```shell +$ cd ~ +$ wget https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-FastDeploy-v0.5.1-bin.tar.gz +$ tar -xzvf IGinX-FastDeploy-v0.5.1-bin.tar.gz +``` + +## 启动 + +```shell +$ cd ~ +$ cd IGinX-FastDeploy-v0.5.0-bin +$ chmod +x ./runIginxOn1Host.sh +$ ./runIginxOn1Host.sh +``` + +显示出如下字样,表示 IGinX 启动成功: + +```shell +ZooKeeper is started! +IoTDB is started! +IGinX is started! +===================================== +You can now test IGinX. Have fun!~ +===================================== +``` + +若在Windows系统环境下出现找不到文件路径问题,则需要使用文本编辑器修改根目录下的`runIginxOn1Host.bat` + +```shell +#./runIginxOn1Host.bat +# line 2 +start "zookeeper" /d "include/apache-zookeeper-3.7.0-bin/" bin\zkServer.cmd +# ↓ 改为 +start "zookeeper" /d "include\apache-zookeeper-3.7.0-bin\" bin\zkServer.cmd + +# line 5 +start "iotdb" /d "include/apache-iotdb-0.12.6/sbin" start-server.bat +# ↓ 改为 +start "iotdb" /d "include\apache-iotdb-0.12.6\sbin" start-server.bat + +# line 9 +start "iginx" /d "./sbin" start_iginx.bat +# ↓ 改为 +start "iginx" /d ".\sbin" start_iginx.bat +``` + +## 访问 IGinX + +### RESTful 接口 + +启动完成后,可以便捷地使用 RESTful 接口向 IGinX 中写入并查询数据。 + +创建文件 insert.json,并向其中添加如下的内容: + +```json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2 ], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +``` + +使用如下的命令即可向数据库中插入数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +在插入数据后,还可以使用 RESTful 接口查询刚刚写入的数据。 + +创建文件 query.json,并向其中写入如下的数据: + +```json +{ + "start_absolute" : 1, + "end_relative": { + "value": "5", + "unit": "days" + }, + "time_zone": "Asia/Kabul", + "metrics": [ + { + "name": "archive_file_tracked" + }, + { + "name": "archive_file_search" + } + ] +} +``` + +使用如下的命令查询数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +命令会返回刚刚插入的数据点信息: + +```json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +``` + +更多接口可以参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf) 。 + +### RPC 接口 + +除了 RESTful 接口外,IGinX 还提供了 RPC +的数据访问接口,具体接口参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf),同时 IGinX +还提供了部分[官方 example](https://github.com/IGinX-THU/IGinX/tree/main/example/src/main/java/cn/edu/tsinghua/iginx/session),展示了 +RPC 接口最常见的用法。 + +下面是一个简短的使用教程。 + +由于目前 IGinX 0.5.1 版本还未发布到 maven 中央仓库,因此如需使用的话,需要手动安装到本地的 maven 仓库。具体安装方式如下: + +```shell +# 下载 IGinX 0.5.1 release 版本源码包 +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# 解压源码包 +$ tar -zxvf v0.5.1.tar.gz +# 进入项目主目录 +$ cd IGinX-release-v0.5.1 +# 安装到本地 maven 仓库 +$ mvn clean install -DskipTests +``` + +具体在使用时,只需要在相应的项目的 pom 文件中引入如下的依赖: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +在访问 IGinX 之前,首先需要创建 session,并尝试连接。Session 构造器有 4 个参数,分别是要连接的 IGinX 的 ip,port,以及用于 IGinX 认证的用户名和密码。目前的权鉴系统还在编写中,因此访问后端 +IGinX 的账户名和密码直接填写 root 即可: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +随后可以尝试向 IGinX 中插入数据。由于 IGinX 支持在数据首次写入时创建时间序列,因此并不需要提前调用相关的序列创建接口。IGinX 提供了行式和列式的数据写入接口,以下是列式数据写入接口的使用样例: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values = new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +在完成数据写入后,可以使用数据查询接口查询刚刚写入的数据: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +还可以使用降采样聚合查询接口来查询数据的区间统计值: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + // MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + // FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} + +``` + +最终使用完 session 后需要手动关闭,释放连接: + +```shell +session.closeSession(); +``` + +完整版使用代码可以参考:https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/IoTDBSessionExample.java diff --git a/docs/quickStarts/IGinXManual-EnglishVersion.md b/docs/quickStarts/IGinXManual-EnglishVersion.md new file mode 100644 index 0000000000..04f5e2ecae --- /dev/null +++ b/docs/quickStarts/IGinXManual-EnglishVersion.md @@ -0,0 +1,645 @@ +# IGinX Installation and Use Manual + +[TOC] + +IGinX is an open source polystore system. A polystore system provides an integrated data management service over a set of one or more potentially heterogeneous database/storage engines, serving heterogeneous workloads. + +Currently, IGinX directly supports big data service over relational database PostgreSQL, time series databases InfluxDB/IoTDB/TimescaleDB/OpenTSDB, and Parquet data files. + +## Download and Installation + +IGinX provides you with two installation methods. +You can refer to the following suggestions and choose either of them: + +1. Download the installation package from the official website. This is our recommended installation method, through which you will get a packaged executable binary file that can be used immediately. +2. Compile with source code. If you need to modify code yourself, you can use this installation method. + +### Environmental Preparation + +#### Java Installation + +Since ZooKeeper, IGinX and IoTDB are all developed using Java, Java needs to be installed first. If a running environment of JDK >= 1.8 has been installed locally, **skip this step entirely**. + +1. First, visit the [official Java website](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html) to download the JDK package for your current system. +2. Installation + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # unzip files +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +1. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +2. Use java -version to determine whether JDK installed successfully. + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +If the words above are displayed, it means the installation was successful. + +#### Maven Installation + +Maven is a build automation tool used primarily to build and managa Java projects. If you need to compile from the source code, you also need to install a Maven environment >= 3.6. Otherwise, **skip this step entirely**. + +This step has been added- before installing ZooKeeper, you may check that you have the installation of wget. It will save time. + +1. Visit the [official website](http://maven.apache.org/download.cgi)to download and unzip Maven + +```shell +$ wget http://mirrors.hust.edu.cn/apache/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz +$ tar -xvf apache-maven-3.3.9-bin.tar.gz +$ sudo mv -f apache-maven-3.3.9 /usr/local/ +``` + +2. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export MAVEN_HOME=/usr/local/apache-maven-3.3.9 +export PATH=${PATH}:${MAVEN_HOME}/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +3. Type mvn -v to determine whether Maven installed successfully. + +```shell +$ mvn -v +Apache Maven 3.6.1 (d66c9c0b3152b2e69ee9bac180bb8fcc8e6af555; 2019-04-05T03:00:29+08:00) +``` + +If the words above are displayed, that means the installation was successful. + +#### ZooKeeper installation + +ZooKeeper is an open-source server for highly reliable distributed coordination of cloud applications, launched by Apache. If you need to deploy more than one instance of IGinX, you will need to install ZooKeeper. Otherwise, **skip this step entirely** + +The specific installation method is as follows, + +1. Visit the [official website](https://zookeeper.apache.org/releases.html)to download and unzip ZooKeeper + +```shell +$ cd ~ +$ wget https://dlcdn.apache.org/zookeeper/zookeeper-3.7.2/apache-zookeeper-3.7.2-bin.tar.gz +$ tar -zxvf apache-zookeeper-3.7.2-bin.tar.gz +``` + +2. Modify the default ZooKeeper profile + +```shell +$ cd apache-zookeeper-3.7.2-bin/ +$ mkdir data +$ cp conf/zoo_sample.cfg conf/zoo.cfg +``` + +Then edit the conf/zoo.cfg file and + +```shell +dataDir=/tmp/zookeeper +``` + +Modify to + +```shell +dataDir=data +``` + +#### IoTDB Installation + +IoTDB is Apache's Apache IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. + +The specific installation method is as follows: + +```shell +$ cd ~ +$ wget https://mirrors.bfsu.edu.cn/apache/iotdb/0.12.0/apache-iotdb-0.12.0-server-bin.zip +$ unzip apache-iotdb-0.12.0-server-bin.zip +``` + +### Download the binary executables + +Go directly to the [IGinX project](https://github.com/IGinX-THU/IGinX) and download the [IGinX project release package](https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-release-v0.5.1-bin.tar.gz). + +```shell +$ cd ~ +$ wget https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-release-v0.5.1-bin.tar.gz +$ tar -xzvf IGinX-release-v0.5.1-bin.tar.gz +``` + +### Compilation with source code + +Fetch the latest development version and build it locally. + +```shell +$ cd ~ +$ git clone git@github.com:IGinX-THU/IGinX.git +$ cd IGinX +$ mvn clean install -Dmaven.test.skip=true +``` + +## Configure launch + +### Single node + +Single node configuration refers to a single instance of IGinX, and the backend serves as the launch of a single IoTDB instance. + +#### Launch IoTDB + +First of all, you need to launch IoTDB. + +```shell +$ cd ~ +$ cd apache-iotdb-0.12.0-server-bin/ +$ ./sbin/start-server.sh +``` + +The following display of words means the IoTDB installation was successful: + +```shell +2021-05-27 08:21:07,440 [main] INFO o.a.i.d.s.t.ThriftService:125 - IoTDB: start RPC ServerService successfully, listening on ip 0.0.0.0 port 6667 +2021-05-27 08:21:07,440 [main] INFO o.a.i.db.service.IoTDB:129 - IoTDB is set up, now may some sgs are not ready, please wait several seconds... +2021-05-27 08:21:07,448 [main] INFO o.a.i.d.s.UpgradeSevice:109 - finish counting upgrading files, total num:0 +2021-05-27 08:21:07,449 [main] INFO o.a.i.d.s.UpgradeSevice:74 - Waiting for upgrade task pool to shut down +2021-05-27 08:21:07,449 [main] INFO o.a.i.d.s.UpgradeSevice:76 - Upgrade service stopped +2021-05-27 08:21:07,449 [main] INFO o.a.i.db.service.IoTDB:146 - Congratulation, IoTDB is set up successfully. Now, enjoy yourself! +2021-05-27 08:21:07,450 [main] INFO o.a.i.db.service.IoTDB:93 - IoTDB has started. +``` + +#### Launch ZooKeeper + +If you are taking a 0.2.0 binary installation package, or if you designate Zookeeper as the metadata management storage backend in the configuration file, you need to launch ZooKeeper. Otherwise, **skip this step entirely**. + +```shell +$ cd ~ +$ cd apache-zookeeper-3.7.2-bin/ +$ ./bin/zkServer.sh start +``` + +The following display of words means the ZooKeeper installation was successful: + +```shell +ZooKeeper JMX enabled by default +Using config: /home/root/apache-zookeeper-3.7.2-bin/bin/../conf/zoo.cfg +Starting zookeeper ... STARTED +``` + +#### Launch IGinX + +Using the release package to launch + +```shell +$ cd ~ +$ cd IGinX-release-v0.5.1-bin +$ chmod +x startIginX.sh # enable permissions for startup scripts +$ ./startIginX.sh +``` + +Using source code to launch + +```shell +$ cd ~ +$ cd Iginx +$ chmod +x startIginX.sh # enable permissions for startup scripts +$ ./startIginX.sh +``` + +### Cluster + +IGinX now has two method options: to use ZooKeeper storage or write local files. + +When the deployment scenario is multiple IGinX instances, you must use ZooKeeper storage, deploy a single IGinX instance and use the source code compilation and installation method. Both can be selected, just change the corresponding configuration file. + +Take two IoTDB instances and two IGinX instances as examples. + +#### Launching multiple IoTDB instances + +Here is an example of starting two instances with ports 6667 and 7667, respectively, on a single machine. + +```shell +$ cd ~ +$ cd apache-iotdb-0.12.0-server-bin/ +$ ./sbin/start-server.sh # 启动实例一 127.0.0.1: 6667 +``` + +Modify the configuration file IoTDB_HOME/conf/iotdb-engine.properties + +```shell +rpc_port=7667 +``` + +Start the second instance. + +```shell +$ ./sbin/start-server.sh # 启动实例二 127.0.0.1: 7667 +``` + +#### Starting multiple IGinX instances + +Modify IGinX_HOME/conf/config. Properties + +```shell +storageEngineList=127.0.0.1#6667#iotdb#username=root#password=root#sessionPoolSize=100#dataDir=/path/to/your/data/,127.0.0.1#6688#iotdb#username=root#password=root#sessionPoolSize=100#dataDir=/path/to/your/data/ + +#存储方式选择 ZooKeeper +metaStorage=zookeeper + +# 提供ZooKeeper端口 +zookeeperConnectionString=127.0.0.1:2181 + +#注释掉file、etcd相关配置 +#fileDataDir=meta +#etcdEndpoints=http://localhost:2379 +``` + +Start the first IGinX instance. + +```shell +$ cd ~ +$ cd Iginx +$ chmod +x sbin/start_iginx.sh # 为启动脚本添加启动权限 +$ ./sbin/start_iginx.sh +``` + +Modify conf/config. Properties + +```shell +# iginx 绑定的端口 +port=7888 +# rest 绑定的端口 +restPort=7666 +``` + +Launch a second instance of IGinX. + +```shell +$ ./sbin/start_iginx.sh +``` + +### Configuration Items + +In order to facilitate installation and management of IGinX, IGinX provides users with several optional item configurations. The IGinX configuration file is located in `config.properties` under the `$IGinX_HOME/conf` folder of the IGinX installation directory. It mainly includes three aspects of configuration: IGinX, Rest, and metadata management. + +#### IGinX Configuration + +| Configuration Item | Description | Configuration | +|------------------------------|-----------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| ip | iginx ip bounds | 0.0.0.0 | +| port | iginx back-end port | 6888 | +| username | iginx username | root | +| password | iginx password | root | +| storageEngineList | Time series database list, use ',' to separate different instances | 127.0.0.1#6667#iotdb12#username=root#password=root#sessionPoolSize=20#has_data=false#is_read_only=false | +| maxAsyncRetryTimes | The maximum number of repetitions of asynchronous requests | 3 | +| asyncExecuteThreadPool | Asynchronous execution concurrent number | 20 | +| syncExecuteThreadPool | The number of concurrent executions | 60 | +| replicaNum | number of copies written | 1 | +| databaseClassNames | The underlying database class name, use ',' to separate different databases | iotdb12=cn.edu.tsinghua.iginx.iotdb.IoTDBStorage,influxdb=cn.edu.tsinghua.iginx.influxdb.InfluxDBStorage,parquet=cn.edu.tsinghua.iginx.parquet.ParquetStorage,postgresql=cn.edu.tsinghua.iginx.postgresql.PostgreSQLStorage,mongodb=cn.edu.tsinghua.iginx.mongodb.MongoDBStorage,redis=cn.edu.tsinghua.iginx.redis.RedisStorage | +| policyClassName | Policy class name | cn.edu.tsinghua.iginx.policy.naive.NaivePolicy | +| statisticsCollectorClassName | Statistics collection class | cn.edu.tsinghua.iginx.statistics.StatisticsCollector | +| statisticsLogInterval | Statistics print interval, in milliseconds | 1000 | + +#### Rest Configuration + +| Configuration item | Description | Default value | +|--------------------|--------------------------------|---------------| +| restIp | rest-bound ip | 0.0.0.0 | +| restPort | rest bound port | 6666 | +| enableRestService | Whether to enable rest service | true | + +#### Metadata Configuration + +| Configuration item | Description | Default value | +| ------------------------- | ----------------------- ------------------------------------- | ------------ --------- | +| metaStorage | Metadata storage type, optional zookeeper, file, etcd | file | +| fileDataDir | If you use file as the metadata storage backend, you need to provide | meta | +| zookeeperConnectionString | If you use zookeeper as the metadata storage backend, you need to provide | 127.0.0.1:2181 | +| etcdEndpoints | If using etcd as the metadata storage backend, need to provide, if there are multiple etcd instances, separated by commas | http://localhost:2379 | + +## Access + +### RESTful Interface + +After the startup is complete, you can easily use the RESTful interface to write and query data to IGinX. + +Create the file insert.json and add the following to it: + +```json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +``` + +Use the following command to insert data into the database: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +After inserting data, you can also query the data just written using the RESTful interface. + +Create a file query.json and write the following data to it: + +```json +{ +"start_absolute" : 1, +"end_relative": { +"value": "5", +"unit": "days" +}, +"time_zone": "Asia/Kabul", +"metrics": [ +{ +"name": "archive_file_tracked" +}, +{ +"name": "archive_file_search" +} +] +} +``` + +Use the following command to query the data: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +The command will return information about the data point just inserted: + +```json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +``` + +For more interfaces, please refer to [IGinX Official Manual](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf). + +### RPC Interface + +In addition to the RESTful interface, IGinX also provides RPC data access interface. For that specific interface, please refer to the official[IGinX Official Manual](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf). At the same time, IGinX also provides some [official examples](https://github.com/IGinX-THU/IGinX/tree/main/example/src/main/java/cn/edu/tsinghua/iginx/session), showing the most common usage of the RPC interface. + +Below is a short tutorial on how to use it. + +Since the IGinX 0.5.1 version has not been released to the maven central repository, if you want to use it, you need to manually install it to the local maven repository. The specific installation method is as follows: + +```shell +# Download iginx 0.2 rc version source package +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# Unzip the source package +$ tar -zxvf v0.5.1.tar.gz +# Enter the project main directory +$ cd IGinX-rc-v0.5.1 +# Install to local maven repository +$ mvn clean install -DskipTests +``` + +Only when you are using it, you need to introduce the following dependencies in the pom file of the corresponding project: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +Before accessing IGinX, you first need to open a session and try to connect. The session constructor has 4 parameters, which are the ip and port of IGinX to connect to, and the username and password for IGinX authentication. The current authentication system is still being written, so the account name and password to access the backend IGinX can directly fill in root: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +You can then try to insert data into IGinX. Since IGinX supports the creation of time series when data is written for the first time, there is no need to call the relevant series creation interface in advance. IGinX provides a row-style and column-style data-writing interface. The following is a usage example of the column-style data writing interface: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values ​​= new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +After completing the data writing, you can use the data query interface to query the data just written: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +You can also use the downsampling aggregation query interface to query the interval statistics of the data: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + //MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + //FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} + +``` + +After the session is completed, you need to manually close and release your connection from your terminal/backend: + +```shell +session.closeSession(); +``` + +For the full version of the code, please refer to: https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/IoTDBSessionExample.java + +## Reference IGinX class library based on MAVEN + +### Using POM + + + + github-release-repo + The Maven Repository on Github + https://github.com/IGinX-THU/IGinX/maven-repo/ + + + + + cn.edu.tsinghua + iginx-session + 0.5.1 + + + diff --git a/docs/quickStarts/IGinXManual.md b/docs/quickStarts/IGinXManual.md new file mode 100644 index 0000000000..182a8b275b --- /dev/null +++ b/docs/quickStarts/IGinXManual.md @@ -0,0 +1,647 @@ +# IGinX 安装配置手册 + +[TOC] + +IGinX是清华大学“清华数为”大数据软件栈的“大数据总线”,面向解决用户在大数据场景下“管数烦、用数难”的问题而研发。它的特色包括“负载均衡弹性好、异构关联全局化、数据使用不搬家、Python集成便利大、SQL输入实时查”。 + +IGinX支持用户一体化管理已存储在不同系统中的数据资产,也支持用户统一读写、查询、关联特定系统中的数据。目前,IGinX支持一体化管理包括关系数据库PostgreSQL、时序数据库InfluxDB/IotDB/TimescaleDB/OpenTSDB、大数据文件Parquet集合等存储的数据。 + +## 下载安装 + +IGinX 为您提供了两种安装方式,您可以参考下面的建议,任选其中一种: + +1. 从官网下载安装包。这是我们推荐使用的安装方式,通过该方式,您将得到一个可以立即使用的、打包好的二进制可执行文件。 +2. 使用源码编译。若您需要自行修改代码,可以使用该安装方式。 + +### 环境准备 + +#### Java 安装 + +由于 ZooKeeper、IGinX 以及 IoTDB 都是使用 Java 开发的,因此首先需要安装 Java。如果本地已经安装了 JDK>=1.8 的运行环境,**直接跳过此步骤**。 + +1. 首先访问 [Java官方网站](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html)下载适用于当前系统的 JDK 包。 +2. 安装 + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # 解压文件 +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +1. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +2. 使用 java -version 判断 JDK 是否安装成功 + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +如果显示出如上的字样,则表示安装成功。 + +#### Maven 安装 + +Maven 是 Java 项目管理和自动构建工具,如果您需要从源码进行编译,还需要安装 Maven >= 3.6 的环境,否则,**直接跳过此步骤**。 + +在安装 ZooKeeper 之前添加了一个步骤。 在使用之前检查 wget 的安装将节省时间。 + +1. 访问[官网](http://maven.apache.org/download.cgi)下载并解压 Maven + +```shell +$ wget http://mirrors.hust.edu.cn/apache/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz +$ tar -xvf apache-maven-3.3.9-bin.tar.gz +$ sudo mv -f apache-maven-3.3.9 /usr/local/ +``` + +1. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export MAVEN_HOME=/usr/local/apache-maven-3.3.9 +export PATH=${PATH}:${MAVEN_HOME}/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +1. 使用 mvn -v 判断 Maven 是否安装成功 + +```shell +$ mvn -v +Apache Maven 3.6.1 (d66c9c0b3152b2e69ee9bac180bb8fcc8e6af555; 2019-04-05T03:00:29+08:00) +``` + +如果显示出如上的字样,则表示安装成功。 + +#### ZooKeeper 安装 + +ZooKeeper 是 Apache 推出的开源的分布式应用程序协调服务。如果您需要部署大于一个 IGinX 实例,则需要安装 ZooKeeper,否则,**直接跳过此步骤**。 + +ZooKeeper 是 Apache 推出的开源的分布式应用程序协调服务。具体安装方式如下: + +1. 访问[官网](https://zookeeper.apache.org/releases.html)下载并解压 ZooKeeper + +```shell +$ cd ~ +$ wget https://dlcdn.apache.org/zookeeper/zookeeper-3.7.2/apache-zookeeper-3.7.2-bin.tar.gz +$ tar -zxvf apache-zookeeper-3.7.2-bin.tar.gz +``` + +1. 修改 ZooKeeper 默认配置文件 + +```shell +$ cd apache-zookeeper-3.7.2-bin/ +$ mkdir data +$ cp conf/zoo_sample.cfg conf/zoo.cfg +``` + +然后编辑 conf/zoo.cfg 文件,将 + +```shell +dataDir=/tmp/zookeeper +``` + +修改为 + +```shell +dataDir=data +``` + +#### IoTDB 安装 + +IoTDB 是 Apache 推出的时序数据库,具体安装方式如下: + +```shell +$ cd ~ +$ wget https://mirrors.bfsu.edu.cn/apache/iotdb/0.12.0/apache-iotdb-0.12.0-server-bin.zip +$ unzip apache-iotdb-0.12.0-server-bin.zip +``` + +### 下载二进制可执行文件 + +直接访问 [IGinX 项目](https://github.com/IGinX-THU/IGinX)下载 [IGinX 项目发布包](https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-release-v0.5.1-bin.tar.gz) +即可 + +```shell +$ cd ~ +$ wget https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-release-v0.5.1-bin.tar.gz +$ tar -zxvf IGinX-release-v0.5.1-bin.tar.gz +``` + +### 使用源码编译 + +拉取最新开发版本,并进行本地构建 + +```shell +$ cd ~ +$ git clone git@github.com:IGinX-THU/IGinX.git +$ cd IGinX +$ mvn clean install -Dmaven.test.skip=true +``` + +## 配置启动 + +### 单节点 + +单节点配置启动指的是单个 IGinX 实例,底层为单个 IoTDB 实例的启动 + +#### 启动 IoTDB + +首先需要启动 IoTDB。 + +```shell +$ cd ~ +$ cd apache-iotdb-0.12.0-server-bin/ +$ ./sbin/start-server.sh +``` + +显示出如下字样,表示 IoTDB 启动成功: + +```shell +2021-05-27 08:21:07,440 [main] INFO o.a.i.d.s.t.ThriftService:125 - IoTDB: start RPC ServerService successfully, listening on ip 0.0.0.0 port 6667 +2021-05-27 08:21:07,440 [main] INFO o.a.i.db.service.IoTDB:129 - IoTDB is set up, now may some sgs are not ready, please wait several seconds... +2021-05-27 08:21:07,448 [main] INFO o.a.i.d.s.UpgradeSevice:109 - finish counting upgrading files, total num:0 +2021-05-27 08:21:07,449 [main] INFO o.a.i.d.s.UpgradeSevice:74 - Waiting for upgrade task pool to shut down +2021-05-27 08:21:07,449 [main] INFO o.a.i.d.s.UpgradeSevice:76 - Upgrade service stopped +2021-05-27 08:21:07,449 [main] INFO o.a.i.db.service.IoTDB:146 - Congratulation, IoTDB is set up successfully. Now, enjoy yourself! +2021-05-27 08:21:07,450 [main] INFO o.a.i.db.service.IoTDB:93 - IoTDB has started. +``` + +#### 启动 ZooKeeper + +如果您采取的是 0.5.1 的二进制安装包,或者在配置文件中指定 ZooKeeper 为元数据管理存储后端,需要启动ZooKeeper。否则,**直接跳过此步骤** + +```shell +$ cd ~ +$ cd apache-zookeeper-3.7.2-bin/ +$ ./bin/zkServer.sh start +``` + +显示出如下字样,表示 ZooKeeper 启动成功 + +```shell +ZooKeeper JMX enabled by default +Using config: /home/root/apache-zookeeper-3.7.2-bin/bin/../conf/zoo.cfg +Starting zookeeper ... STARTED +``` + +#### 启动 IGinX + +使用发布包启动 + +```shell +$ cd ~ +$ cd IGinX-release-v0.5.1-bin +$ chmod +x startIginX.sh # 为启动脚本添加启动权限 +$ ./startIginX.sh +``` + +使用源码启动 + +```shell +$ cd ~ +$ cd Iginx +$ chmod +x startIginX.sh # 为启动脚本添加启动权限 +$ ./startIginX.sh +``` + +### 集群 + +IGinX 元数据存储管理现在有 ZooKeeper 存储、写本地文件两种方式。 + +当部署场景为多 IGinX 实例时,必须采用 ZooKeeper 存储,部署单个 IGinX 实例,且采用源码编译安装方式时,两者均可选择,只需要更改对应的配置文件即可。 + +这里以两个 IoTDB 实例、两个 IGinX 实例为例 + +#### 启动多个 IoTDB 实例 + +这里以单机启动两个端口分别为 6667 和 7667 的实例为例 + +```shell +$ cd ~ +$ cd apache-iotdb-0.12.0-server-bin/ +$ ./sbin/start-server.sh # 启动实例一 127.0.0.1: 6667 +``` + +修改配置文件 IoTDB_HOME/conf/iotdb-engine.properties + +```shell +rpc_port=7667 +``` + +启动第二个实例 + +```shell +$ ./sbin/start-server.sh # 启动实例二 127.0.0.1: 7667 +``` + +#### 启动多个 IGinX 实例 + +修改 IginX_HOME/conf/config. Properties + +```shell +storageEngineList=127.0.0.1#6667#iotdb#username=root#password=root#sessionPoolSize=100#dataDir=/path/to/your/data/,127.0.0.1#6688#iotdb#username=root#password=root#sessionPoolSize=100#dataDir=/path/to/your/data/ + +#存储方式选择 ZooKeeper +metaStorage=zookeeper + +# 提供ZooKeeper端口 +zookeeperConnectionString=127.0.0.1:2181 + +#注释掉file、etcd相关配置 +#fileDataDir=meta +#etcdEndpoints=http://localhost:2379 +``` + +启动第一个 IGinX 实例 + +```shell +$ cd ~ +$ cd Iginx +$ chmod +x sbin/start_iginx.sh # 为启动脚本添加启动权限 +$ ./sbin/start_iginx.sh +``` + +修改 conf/config. Properties + +```shell +# iginx 绑定的端口 +port=7888 +# rest 绑定的端口 +restPort=7666 +``` + +启动第二个 IGinX 实例 + +```shell +$ ./sbin/start_iginx.sh +``` + +### 配置项 + +为方便 IGinX 的配置与管理,IGinX 为用户提供多项可选配置。IGinX 配置文件位于 IGinX 安装目录 `$IginX_HOME/conf` 文件夹下的 `config.properties` 中,主要包括 +IGinX、Rest、元数据管理三方面配置。 + +#### IGinX 配置 + +| 配置项 | 描述 | 默认值 | +|------------------------------|----------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| ip | iginx 绑定的 ip | 0.0.0.0 | +| port | iginx 绑定的端口 | 6888 | +| username | iginx 本身的用户名 | root | +| password | iginx 本身的密码 | root | +| storageEngineList | 时序数据库列表,使用','分隔不同实例 | 127.0.0.1#6667#iotdb12#username=root#password=root#sessionPoolSize=20#has_data=false#is_read_only=false | +| maxAsyncRetryTimes | 异步请求最大重复次数 | 3 | +| asyncExecuteThreadPool | 异步执行并发数 | 20 | +| syncExecuteThreadPool | 同步执行并发数 | 60 | +| replicaNum | 写入的副本个数 | 1 | +| databaseClassNames | 底层数据库类名,使用','分隔不同数据库 | iotdb12=cn.edu.tsinghua.iginx.iotdb.IoTDBStorage,influxdb=cn.edu.tsinghua.iginx.influxdb.InfluxDBStorage,parquet=cn.edu.tsinghua.iginx.parquet.ParquetStorage,postgresql=cn.edu.tsinghua.iginx.postgresql.PostgreSQLStorage,mongodb=cn.edu.tsinghua.iginx.mongodb.MongoDBStorage,redis=cn.edu.tsinghua.iginx.redis.RedisStorage | +| policyClassName | 策略类名 | cn.edu.tsinghua.iginx.policy.naive.NaivePolicy | +| statisticsCollectorClassName | 统计信息收集类 | cn.edu.tsinghua.iginx.statistics.StatisticsCollector | +| statisticsLogInterval | 统计信息打印间隔,单位毫秒 | 1000 | + +#### Rest 配置 + +| 配置项 | 描述 | 默认值 | +|-------------------|--------------|---------| +| restIp | rest 绑定的 ip | 0.0.0.0 | +| restPort | rest 绑定的端口 | 6666 | +| enableRestService | 是否启用 rest 服务 | true | + +#### 元数据配置 + +| 配置项 | 描述 | 默认值 | +|---------------------------|----------------------------------------------|-----------------------| +| metaStorage | 元数据存储类型,可选zookeeper, etcd 两种 | zookeeper | +| zookeeperConnectionString | 如果使用 zookeeper 作为元数据存储后端,需要提供 | 127.0.0.1:2181 | +| etcdEndpoints | 如果使用 etcd 作为元数据存储后端,需要提供,如果有多个 etcd 实例,以逗号分隔 | http://localhost:2379 | + +## 访问 + +### RESTful 接口 + +启动完成后,可以便捷地使用 RESTful 接口向 IGinX 中写入并查询数据。 + +创建文件 insert.json,并向其中添加如下的内容: + +```json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2 ], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +``` + +使用如下的命令即可向数据库中插入数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +在插入数据后,还可以使用 RESTful 接口查询刚刚写入的数据。 + +创建文件 query.json,并向其中写入如下的数据: + +```json +{ + "start_absolute" : 1, + "end_relative": { + "value": "5", + "unit": "days" + }, + "time_zone": "Asia/Kabul", + "metrics": [ + { + "name": "archive_file_tracked" + }, + { + "name": "archive_file_search" + } + ] +} +``` + +使用如下的命令查询数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +命令会返回刚刚插入的数据点信息: + +```json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +``` + +更多接口可以参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf) 。 + +### RPC 接口 + +除了 RESTful 接口外,IGinX 还提供了 RPC +的数据访问接口,具体接口参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf),同时 IGinX +还提供了部分[官方 example](https://github.com/IGinX-THU/IGinX/tree/main/example/src/main/java/cn/edu/tsinghua/iginx/session),展示了 +RPC 接口最常见的用法。 + +下面是一个简短的使用教程。 + +由于目前 IGinX 0.5.1 版本还未发布到 maven 中央仓库,因此如需使用的话,需要手动安装到本地的 maven 仓库。具体安装方式如下: + +```shell +# 下载 IGinX 0.5.1 release 版本源码包 +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# 解压源码包 +$ tar -zxvf v0.5.1.tar.gz +# 进入项目主目录 +$ cd IGinX-release-v0.5.1 +# 安装到本地 maven 仓库 +$ mvn clean install -DskipTests +``` + +具体在使用时,只需要在相应的项目的 pom 文件中引入如下的依赖: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +在访问 iginx 之前,首先需要创建 session,并尝试连接。Session 构造器有 4 个参数,分别是要连接的 IGinX 的 ip,port,以及用于 IGinX 认证的用户名和密码。目前的权鉴系统还在编写中,因此访问后端 +IGinX 的账户名和密码直接填写 root 即可: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +随后可以尝试向 IGinX 中插入数据。由于 IGinX 支持在数据首次写入时创建时间序列,因此并不需要提前调用相关的序列创建接口。IGinX 提供了行式和列式的数据写入接口,以下是列式数据写入接口的使用样例: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values = new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +在完成数据写入后,可以使用数据查询接口查询刚刚写入的数据: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +还可以使用降采样聚合查询接口来查询数据的区间统计值: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + // MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + // FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} + +``` + +最终使用完 session 后需要手动关闭,释放连接: + +```shell +session.closeSession(); +``` + +完整版使用代码可以参考:https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/IoTDBSessionExample.java + +## 基于MAVEN引用IGinX类库 + +### 使用POM + + + + github-release-repo + The Maven Repository on Github + https://github.com/IGinX-THU/IGinX/maven-repo/ + + + + + cn.edu.tsinghua + iginx-session + 0.5.1 + + + diff --git a/docs/quickStarts/IGinXZeppelin-EnglishVersion.md b/docs/quickStarts/IGinXZeppelin-EnglishVersion.md new file mode 100644 index 0000000000..b1d34754e1 --- /dev/null +++ b/docs/quickStarts/IGinXZeppelin-EnglishVersion.md @@ -0,0 +1,139 @@ +# IGinX Zeppelin User Manual + +[TOC] + +## Compiling IGinX Zeppelin Interpreter + +Navigate to the IGinX directory and execute the following command to build the IGinX Zeppelin Interpreter: + +```Shell +mvn clean package -DskipTests -P get-jar-with-dependencies +``` + +Upon successful compilation, you will find the `zeppelin-iginx-0.6.0-SNAPSHOT-jar-with-dependencies.jar` package in the `IGinX/zeppelin-interpreter/target/` directory. We will need this package for the next steps of deploying Zeppelin. + +## Deploying Zeppelin + +### Direct Download + +#### Downloading Zeppelin Package + +Visit the Zeppelin official website at https://zeppelin.apache.org/download.html and download the package marked with a red box: + +The main difference between these two packages is that the `all` package comes with all of Zeppelin's interpreters, while the `netinst` package includes only a few interpreters. Since you are using IGinX's custom interpreter, you should download the `netinst` package. + +After downloading and extracting, you'll have a folder named `zeppelin-0.10.1-bin-netinst`. Go into this folder. + +#### Modifying Zeppelin Settings (Optional) + +##### Modifying Zeppelin Port + +By default, Zeppelin uses port `8080`. If port `8080` is already in use, you can modify the Zeppelin port as follows: + +In the `zeppelin-0.10.1-bin-netinst/conf/` folder, locate the file `zeppelin-site.xml.template`, make a copy and rename it to `zeppelin-site.xml`. + +Edit the file and find the following code section. Change `8080` to your desired port: + +```Shell + + zeppelin.server.port + 8080 + Server port. + +``` + +##### Setting JAVA Path + +If Zeppelin cannot find the JAVA path, you can set it by following these steps: + +In the `zeppelin-0.10.1-bin-netinst/conf/` folder, locate the file `zeppelin-env.sh.template`, make a copy and rename it to `zeppelin-env.sh`. + +Edit the file and find the following code section. Replace the empty value after `export JAVA_HOME=` with the path to JAVA on your machine. + +```Shell +export JAVA_HOME= +``` + +#### Integrating IGinX Zeppelin Interpreter + +In the `zeppelin-0.10.1-bin-netinst/interpreter/` folder, create a new folder named `IGinX`. Place the compiled `zeppelin-iginx-0.6.0-SNAPSHOT-jar-with-dependencies.jar` package inside this folder. + +#### Starting IGinX + +Before starting Zeppelin, you need to start IGinX. + +#### Starting Zeppelin + +Finally, use the command line in the `zeppelin-0.10.1-bin-netinst/bin/` directory to run the command: + +```Shell +// Unix +./zeppelin-daemon.sh start + +// Windows +./zeppelin.cmd +``` + +This will start Zeppelin. + +### Deploying via Docker + +#### Starting IGinX + +Before deploying Zeppelin, start IGinX. + +#### Integrating IGinX Zeppelin Interpreter + +Prepare a folder to place the IGinX Zeppelin Interpreter. For example, let's name the folder `zeppelin-interpreter` with the absolute path `~/code/zeppelin-interpreter/`. + +Place the `zeppelin-iginx-0.6.0-SNAPSHOT-jar-with-dependencies.jar` package inside this prepared `zeppelin-interpreter` folder. + +#### Starting Docker Container Using Commands + +Deploy Zeppelin using the following command: + +```Shell +docker run -v ~/code/zeppelin-interpreter/:/opt/zeppelin/interpreter/iginx --privileged=true --name zeppelin --network host apache/zeppelin:0.10.1 +``` + +The `-v` parameter maps a folder on the host machine to the `zeppelin` container. This folder will hold the IGinX Zeppelin Interpreter. Replace the red part with the absolute path to the folder you prepared earlier. + +The `--network host` parameter avoids port mapping since Zeppelin needs to connect to the host's IGinX port directly. It uses the local port `8080`. + +## Using Zeppelin + +Access Zeppelin by opening your browser and visiting http://127.0.0.1:8080/. The port number should match your configuration. + +### Creating a New IGinX Notebook + +Click on "Create new note" within the red box. + +![img](../images/IGinXZeppelin/create_new_note.png) + +Set a note name and choose the `iginx` interpreter under Default Interpreter. + +![img](../images/IGinXZeppelin/set_new_note.png) + +Click "Create" to create the notebook. + +### Restarting the Interpreter + +The IGinX Zeppelin interpreter requires a connection to IGinX. If you restart IGinX, the interpreter will lose the connection, and you'll need to restart it. + +In the notebook interface, click on the settings button within the red box. In the pop-up, click the refresh button next to the `iginx` interpreter to restart it. + +![img](../images/IGinXZeppelin/restart_interpreter.png) + +### Using IGinX Statements + +You can directly input IGinX statements in the notebook. + +![img](../images/IGinXZeppelin/iginx_sql.png) + +### Using RESTful Statements + +RESTful curl statements are shell commands. To use them, you need the Zeppelin built-in shell interpreter. + +Start the statement with `%sh` on the first line, then input the remaining commands on the second line. Additionally, since Zeppelin doesn't support passing files, include the JSON part of the curl command directly in the statement. + +![img](../images/IGinXZeppelin/restful.png) diff --git a/docs/quickStarts/IGinXZeppelin.md b/docs/quickStarts/IGinXZeppelin.md new file mode 100644 index 0000000000..542f93d0ad --- /dev/null +++ b/docs/quickStarts/IGinXZeppelin.md @@ -0,0 +1,143 @@ +# IGinX Zeppelin使用手册 + +[TOC] + +## 编译IGinX Zeppelin Interpreter + +进入IGinX目录,执行下面的语句以构建IGinX Zeppelin Interpreter + +```Shell +mvn clean package -DskipTests -P get-jar-with-dependencies +``` + +构建成功后,在`IGinX/zeppelin-interpreter/target/`路径下找到`zeppelin-iginx-0.6.0-SNAPSHOT-jar-with-dependencies.jar`包。 + +在下一步部署Zeppelin时我们需要用到这个包。 + +## 部署Zeppelin + +### 直接下载 + +#### 下载Zeppelin包 + +前往Zeppelin官网https://zeppelin.apache.org/download.html,下载红框标记出的包: + +这两个包的区别是`all`包自带了zeppelin所有的解释器,而`netinst`只带有少量解释器,因为我们使用IGinX自行实现的解释器,因此下载`netinst`版本即可。 + +![img](../images/IGinXZeppelin/zeppelin_download_page.png) + +下载解压后,能够得到`zeppelin-0.10.1-bin-netinst`文件夹,进入其中。 + +#### 修改Zeppelin设置(可选) + +##### 修改Zeppelin端口 + +Zeppelin默认占用`8080`端口,如果8080端口已被占用,可以按照以下步骤修改Zeppelin端口。 + +在`zeppelin-0.10.1-bin-netinst/conf/`文件夹下找到文件`zeppelin-site.xml.template`,复制一份并改名为`zeppelin-site.xml`。 + +编辑文件,在文件中找到下面这段代码,将`8080`修改为自己想要的端口即可。 + +```Shell + + zeppelin.server.port + 8080 + Server port. + +``` + +##### 设置JAVA路径 + +如果Zeppelin找不到JAVA路径,可以尝试通过以下步骤设置JAVA路径。 + +在`zeppelin-0.10.1-bin-netinst/conf/`文件夹下找到文件`zeppelin-env.sh.template`,复制一份并改名为`zeppelin-env.sh`。 + +编辑文件,在文件中找到下面这段代码,在`=`后填入本机的JAVA路径即可。 + +```Shell +export JAVA_HOME= +``` + +#### 接入IGinX Zeppelin Interpreter + +在`zeppelin-0.10.1-bin-netinst/interpreter/`文件夹下新建一个文件夹`IGinX`,将构建好的`zeppelin-iginx-0.6.0-SNAPSHOT-jar-with-dependencies.jar`包放入其中即可。 + +#### 启动IGinX + +接下来在启动Zeppelin前,我们需要先启动IGinX。 + +#### 启动Zeppelin + +最后,用命令行在`zeppelin-0.10.1-bin-netinst/bin/`中目录下,运行命令: + +```Shell +// Unix +./zeppelin-daemon.sh start + +// Windows +./zeppelin.cmd +``` + +即可启动Zeppelin。 + +### 通过Docker部署 + +#### 启动IGinX + +在部署Zeppelin之前,先启动IGinX。 + +#### 接入IGinX Zeppelin Interpreter + +我们需要准备一个文件夹,用于放置IGinX Zeppelin Interpreter。例如我们准备一个文件夹名为`zeppelin-interpreter`,其绝对路径为`~/code/zeppelin-interpreter/`。 + +将`zeppelin-iginx-0.6.0-SNAPSHOT-jar-with-dependencies.jar`包放入我们准备好的`zeppelin-interpreter`文件夹内即可。 + +#### 使用命令启动Docker容器 + +通过以下代码部署Zeppelin + +```Shell +docker run -v ~/code/zeppelin-interpreter/:/opt/zeppelin/interpreter/iginx --privileged=true --name zeppelin --network host apache/zeppelin:0.10.1 +``` + +`-v` 参数是将宿主机的一个文件夹映射到zeppelin容器内,用于放置IGinX Zeppelin Interpreter,在上一步我们已经准备好了这个文件夹。将文件夹绝对路径替换掉红色部分即可。 + +`--network host` 参数是不使用端口映射,因为zeppelin还需要连接宿主机的IGinX端口,因此直接使用本地端口`8080`。 + +## 使用Zeppelin + +使用浏览器访问http://127.0.0.1:8080/,即可进入Zeppelin。端口号根据自己的设置修改。 + +### 新建IGinX笔记本 + +点击红框内的Create new note + +![img](../images/IGinXZeppelin/create_new_note.png) + +设置note name,并在Default Interpreter中找到iginx + +![img](../images/IGinXZeppelin/set_new_note.png) + +点击create即可创建笔记本。 + +### 重启解释器 + +IGinX Zeppelin解释器是需要连接IGinX的,如果我们重启了IGinX,解释器就会断开连接,此时我们需要重启解释器。 + +在笔记本界面,我们点击红框内的设置按钮。再在出现的页面中,点击iginx解释器左边的刷新按钮,即可重启解释器。 + +![img](../images/IGinXZeppelin/restart_interpreter.png) + +### 使用IGinX语句 + +直接在笔记本中输入IGinX语句即可。 + +![img](../images/IGinXZeppelin/iginx_sql.png) + +### 使用RESTful语句 + +RESTful的curl语句属于shell语句,我们需要用到Zeppelin自带的shell解释器。 + +使用shell解释器的方法是在第一行增加`%sh`,剩余语句在第二行输入。另外由于Zeppelin不支持传入文件,curl中的json部分需要直接写在语句里。 + +![img](../images/IGinXZeppelin/restful.png) diff --git a/docs/quickStarts_Parquet/IGinXByDocker-EnglishVersion.md b/docs/quickStarts_Parquet/IGinXByDocker-EnglishVersion.md new file mode 100644 index 0000000000..555f039d90 --- /dev/null +++ b/docs/quickStarts_Parquet/IGinXByDocker-EnglishVersion.md @@ -0,0 +1,335 @@ +# IGinX Installation and Use Manual (By Docker) + +IGinX is an open source polystore system. A polystore system provides an integrated data management service over a set of one or more potentially heterogeneous database/storage engines, serving heterogeneous workloads. + +Currently, IGinX directly supports big data service over relational database PostgreSQL, time series databases InfluxDB/IoTDB/TimescaleDB/OpenTSDB, and Parquet data files. + +## Environment Installation + +### Java Installation + +Since ZooKeeper, IGinX are all developed using Java, Java needs to be installed first. If a running environment of JDK >= 1.8 has been installed locally, **skip this step entirely**. + +1. First, visit the [official Java website](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html) to download the JDK package for your current system. + +2. Installation + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # unzip files +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +4. Use java -version to determine whether JDK installed successfully. + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +If the words above are displayed, it means the installation was successful. + +### Maven Installation + +Maven is a build automation tool used primarily to build and managa Java projects. If you need to compile from the source code, you also need to install a Maven environment >= 3.6. Otherwise, **skip this step entirely**. + +1. Visit the [official website](http://maven.apache.org/download.cgi)to download and unzip Maven + +```shell +$ wget http://mirrors.hust.edu.cn/apache/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz +$ tar -xvf apache-maven-3.3.9-bin.tar.gz +$ sudo mv -f apache-maven-3.3.9 /usr/local/ +``` + +2. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export MAVEN_HOME=/usr/local/apache-maven-3.3.9 +export PATH=${PATH}:${MAVEN_HOME}/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +3. Type mvn -v to determine whether Maven installed successfully. + +```shell +$ mvn -v +Apache Maven 3.6.1 (d66c9c0b3152b2e69ee9bac180bb8fcc8e6af555; 2019-04-05T03:00:29+08:00) +``` + +If the words above are displayed, that means the installation was successful. + +### Docker installation + +Docker provides an official installation script that allows users to automatically install it by entering the command: + +```shell +$ curl -fsSL https://get.docker.com | bash -s docker --mirror Aliyun +``` + +You can also use the internal daocloud one-click installation command: + +```shell +$ curl -sSL https://get.daocloud.io/docker | sh +``` + +Run this command to start the docker engine and check the docker version: + +```shell +$ systemctl start docker +$ docker version +``` + +If the words above are displayed, it means the installation was successful: + +```shell +Client: Docker Engine - Community + Version: 20.10.8 + API version: 1.41 + Go version: go1.16.6 + Git commit: 3967b7d + Built: Fri Jul 30 19:55:49 2021 + OS/Arch: linux/amd64 + Context: default + Experimental: true + +Server: Docker Engine - Community + Engine: + Version: 20.10.8 + API version: 1.41 (minimum version 1.12) + Go version: go1.16.6 + Git commit: 75249d8 + Built: Fri Jul 30 19:54:13 2021 + OS/Arch: linux/amd64 + Experimental: false + containerd: + Version: 1.4.9 + GitCommit: e25210fe30a0a703442421b0f60afac609f950a3 + runc: + Version: 1.0.1 + GitCommit: v1.0.1-0-g4144b63 + docker-init: + Version: 0.19.0 + GitCommit: de40ad0 +``` + +## Compile the Image + +Currently, the docker image of IGinX needs to be manually installed locally. First, you need to download the IGinX source code: + +```shell +$ cd ~ +$ git clone git@github.com:IGinX-THU/IGinX.git # Pull the latest IGinX code +$ cd IGinX +``` + +Then start building the IGinX image: + +Currently, there are two types of IGinX image construction: +- oneShot: All dependencies including ZooKeeper, IGinX can be packaged and run with one shot. +- onlyIginx: Another way is to build the IGinX image separately, requiring the user to manually start the ZooKeeper service externally. + +## oneShot + +In this method, ZooKeeper and IGinX run as 2 separate containers with a custom network bridge which enables IGinX to communicate with ZooKeeper. + +Before building the image, the params in `conf/config.properties` need to be changed. The IP address for ZooKeeper should be changed to the hostnames of ZooKeeper container. Otherwise, IGinX will not be able to access it. + +```properties +# ZooKeeper hostname: zkServer +zookeeperConnectionString=zkServer:2181 +``` + +Hostname for Zookeeper container can be changed in `$IGINX_HOME/docker/oneShot-parquet/docker-compose.yaml`: + +```yaml +services: + zookeeper: + hostname: "custom_zookeeper_hostname" #default: zkServer +# conf/config.properties should be changed accordingly +``` + +Then use the following command to build image and run: + +```shell +$ cd docker/oneShot +$ ./build_and_run_iginx_docker.sh +``` + +The following words are displayed to indicate that the image was built and run successfully: + +```shell +[+] Building 18.2s (12/12) FINISHED + => [iginx internal] load build definition from Dockerfile 0.0s + => => transferring dockerfile: 387B 0.0s + => [iginx internal] load .dockerignore 0.0s + => => transferring context: 2B 0.0s + => [iginx internal] load metadata for docker.io/library/amazoncorretto:8 1.0s + => [iginx internal] load metadata for docker.io/library/maven:3-amazoncorretto-8 1.1s + => [iginx internal] load build context 0.3s + => => transferring context: 465.28kB 0.2s + => CACHED [iginx stage-1 1/2] FROM docker.io/library/amazoncorretto:8@sha256:39679cbf42bf0ac2f8de74aa2e87f162eb1 0.0s + => [iginx builder 1/4] FROM docker.io/library/maven:3-amazoncorretto-8@sha256:8891ab4c3fe9beb924af0595eef2389d24 0.0s + => CACHED [iginx builder 2/4] COPY . /root/IGinX 0.0s + => CACHED [iginx builder 3/4] WORKDIR /root/IGinX 0.0s + => [iginx builder 4/4] RUN --mount=type=cache,target=/root/.m2 mvn clean package -pl core,dataSources/parquet - 15.8s + => [iginx stage-1 2/2] COPY --from=builder /root/IGinX/core/target/iginx-core-dev /root/IGinX 0.2s + => [iginx] exporting to image 0.4s + => => exporting layers 0.4s + => => writing image sha256:3754b479bb230728b9b25194248f8dff1348ba87bd5925ddc91cc32fcdc5a0ee 0.0s + => => naming to docker.io/library/oneshot-parquet-iginx 0.0s +[+] Running 3/3 + ✔ Network oneshot-parquet_net Created 0.6s + ✔ Container zookeeper Started 1.0s + ✔ Container iginx1 Started +``` + +After this step, 127.0.0.1:10001 will be accessable for IGinX service. + +## onlyIginx + +**Warning: Before starting to build the IGinX image, you need to modify the network address parameters in IGinX. All "127.0.0.1" should be replaced by "host.docker.internal" to enable the IGinX container to communicate with ZooKeeper service that runs on host machine.** + +Use the following command to build the IGinX image: + +```shell +$ cd docker/onlyIginx +$ ./build_iginx_docker.sh +``` + +The following words are displayed to indicate that the image was built successfully: + +```shell +[+] Building 887.9s (12/12) FINISHED +=> [internal] load build definition from Dockerfile-iginx 0.1s +=> => transferring dockerfile: 406B 0.0s +=> [internal] load .dockerignore 0.1s +=> => transferring context: 2B 0.0s +=> [internal] load metadata for docker.io/library/openjdk:11-jre-slim 5.3s +=> [internal] load metadata for docker.io/library/maven:3-amazoncorretto-8 3.3s +=> [internal] load build context 3.6s +=> => transferring context: 475.61MB 3.5s +=> CACHED [builder 1/4] FROM docker.io/library/maven:3-amazoncorretto-8@sha256:c9d6016fad9c479b874f270a80d80f891 0.0s +=> [stage-1 1/2] FROM docker.io/library/openjdk:11-jre-slim@sha256:93af7df2308c5141a751c4830e6b6c5717db102b3b31 38.3s +=> => resolve docker.io/library/openjdk:11-jre-slim@sha256:93af7df2308c5141a751c4830e6b6c5717db102b3b31f012ea29d 0.1s +=> => sha256:764a04af3eff09cc6a29bcc19cf6315dbea455d7392c1a588a5deb331a929c29 7.55kB / 7.55kB 0.0s +=> => sha256:1efc276f4ff952c055dea726cfc96ec6a4fdb8b62d9eed816bd2b788f2860ad7 31.37MB / 31.37MB 25.6s +=> => sha256:a2f2f93da48276873890ac821b3c991d53a7e864791aaf82c39b7863c908b93b 1.58MB / 1.58MB 2.7s +=> => sha256:12cca292b13cb58fadde25af113ddc4ac3b0c5e39ab3f1290a6ba62ec8237afd 212B / 212B 1.2s +=> => sha256:93af7df2308c5141a751c4830e6b6c5717db102b3b31f012ea29d842dc4f2b02 549B / 549B 0.0s +=> => sha256:884c08d0f406a81ae1b5786932abaf399c335b997da7eea6a30cc51529220b66 1.16kB / 1.16kB 0.0s +=> => sha256:d73cf48caaac2e45ad76a2a9eb3b311d0e4eb1d804e3d2b9cf075a1fa31e6f92 46.04MB / 46.04MB 37.3s +=> => extracting sha256:1efc276f4ff952c055dea726cfc96ec6a4fdb8b62d9eed816bd2b788f2860ad7 1.0s +=> => extracting sha256:a2f2f93da48276873890ac821b3c991d53a7e864791aaf82c39b7863c908b93b 0.1s +=> => extracting sha256:12cca292b13cb58fadde25af113ddc4ac3b0c5e39ab3f1290a6ba62ec8237afd 0.0s +=> => extracting sha256:d73cf48caaac2e45ad76a2a9eb3b311d0e4eb1d804e3d2b9cf075a1fa31e6f92 0.7s +=> [builder 2/4] COPY . /root/iginx 1.3s +=> [builder 3/4] WORKDIR /root/iginx 0.1s +=> [builder 4/4] RUN mvn clean package -DskipTests -P passFormat 876.3s +=> [stage-1 2/2] COPY --from=builder /root/iginx/core/target/iginx-core-0.6.0-SNAPSHOT /iginx 0.2s +=> exporting to image 0.5s +=> => exporting layers 0.5s +=> => writing image sha256:e738348598c9db601dbf39c7a8ca9e1396c5ff51769afeb0fe3da12e2fdcd73a 0.0s +=> => naming to docker.io/library/iginx:0.6.0 +``` + +Then start to run the image. + +Start Zookeeper first: + +```shell +$ cd ${zookeeper_path} +$ ./bin/zkServer.sh start +``` + +Then, modify IGinX configuration file `$IGINX_HOME/conf/config.properties`: + +1. IP for IGinX: + + a. If you are **not** giving the container a customized IP, fill with IP address of the host server. + + ```properties + # example: + ip:11.272.81.34 + ``` + + b. If you are going to giving the container a customized IP, fill with this customized IP address. + + ```properties + # example + ip:172.34.1.2 + ``` +2. IP for parquet server: + + a. If you want IGinX to start a parquet database service, IP for parquet database server should be the same as IP for IGinX. + + ```properties + # example + ip:11.272.81.34 + storageEngineList=11.272.81.34#6667#parquet#dir=/path/to/your/parquet#dummy_dir=/path/to/your/data#iginx_port=6888#has_data=false#is_read_only=false + ``` + + b. If you want to connect to a remote parquet server, use it's IP address. + + ```properties + # example + ip:11.272.81.34 + storageEngineList=11.272.83.2#6667#parquet#dir=/path/to/your/parquet#dummy_dir=/path/to/your/data#iginx_port=6888#has_data=false#is_read_only=false + ``` +3. IP for ZooKeeper service: + + You should use the real IP address of the host server that ZooKeeper service runs on. Or, if ZooKeeper runs as a container with IGinX containers in the same net bridge, you can choose ZooKeeper container's hostname instead. + + ```properties + # example + zookeeperConnectionString=11.272.81.34:2181 + ``` + +Finally, start IGinX to complete the startup of the entire system: + +```shell +$ cd ${iginx_path}/docker/onlyIginx +$ ./run_iginx_docker.sh -n iginx0 -p 10001 +# -n container name +# -p host port to cast +``` + +This command will expose the host's port 10001 as the communication interface with the IGinX cluster. You can start accessing IGinX through 127.0.0.1:10001. + +We also provide optional CMD parameters `-c` and `-o` for users to customize how IGinX container would run: + +```shell +# example +$ ./run_iginx_docker.sh -n iginx0 -p 10001 -c my/path/to/config -o myNetwork +# -n container name +# -p host port to cast +# [optional] -c absolute path to config file (default: "$IGINX_HOME/conf/config.properties") +# (very helpful to keep different versions of configuration files) +# [optional] -o overlay network +# (to connect different containers from different hosts) +``` + diff --git a/docs/quickStarts_Parquet/IGinXByDocker.md b/docs/quickStarts_Parquet/IGinXByDocker.md new file mode 100644 index 0000000000..e8c0dffa31 --- /dev/null +++ b/docs/quickStarts_Parquet/IGinXByDocker.md @@ -0,0 +1,336 @@ +# IGinX 安装使用教程(Docker运行) + +IGinX是清华大学“清华数为”大数据软件栈的“大数据总线”,面向解决用户在大数据场景下“管数烦、用数难”的问题而研发。它的特色包括“负载均衡弹性好、异构关联全局化、数据使用不搬家、Python集成便利大、SQL输入实时查”。 + +IGinX支持用户一体化管理已存储在不同系统中的数据资产,也支持用户统一读写、查询、关联特定系统中的数据。目前,IGinX支持一体化管理包括关系数据库PostgreSQL、时序数据库InfluxDB/IotDB/TimescaleDB/OpenTSDB、大数据文件Parquet集合等存储的数据。 + +## 环境安装 + +### Java 安装 + +由于 ZooKeeper、IGinX 都是使用 Java 开发的,因此首先需要安装 Java。如果本地已经安装了 JDK>=1.8 的运行环境,**直接跳过此步骤**。 + +1. 首先访问 [Java官方网站](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html)下载适用于当前系统的 JDK 包。 +2. 安装 + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # 解压文件 +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +4. 使用 java -version 判断 JDK 是否安装成功 + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +如果显示出如上的字样,则表示安装成功。 + +### Maven 安装 + +Maven 是 Java 项目管理和自动构建工具,如果您需要从源码进行编译,还需要安装 Maven >= 3.6 的环境,否则,**直接跳过此步骤**。 + +1. 访问[官网](http://maven.apache.org/download.cgi)下载并解压 Maven + +``` +$ wget http://mirrors.hust.edu.cn/apache/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz +$ tar -xvf apache-maven-3.3.9-bin.tar.gz +$ sudo mv -f apache-maven-3.3.9 /usr/local/ +``` + +2. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export MAVEN_HOME=/usr/local/apache-maven-3.3.9 +export PATH=${PATH}:${MAVEN_HOME}/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +3. 使用 mvn -v 判断 Maven 是否安装成功 + +```shell +$ mvn -v +Apache Maven 3.6.1 (d66c9c0b3152b2e69ee9bac180bb8fcc8e6af555; 2019-04-05T03:00:29+08:00) +``` + +如果显示出如上的字样,则表示安装成功。 + +### Docker 安装 + +docker 官方提供了安装脚本,允许用户使用命令自动安装: + +```shell +$ curl -fsSL https://get.docker.com | bash -s docker --mirror Aliyun +``` + +也可以使用国内 daocloud 一键安装命令: + +```shell +$ curl -sSL https://get.daocloud.io/docker | sh +``` + +运行命令即可启动 docker engine,并查看 docker 版本: + +```shell +$ systemctl start docker +$ docker version +``` + +显示出如下字样,表示 docker 安装成功: + +```shell +Client: Docker Engine - Community + Version: 20.10.8 + API version: 1.41 + Go version: go1.16.6 + Git commit: 3967b7d + Built: Fri Jul 30 19:55:49 2021 + OS/Arch: linux/amd64 + Context: default + Experimental: true + +Server: Docker Engine - Community + Engine: + Version: 20.10.8 + API version: 1.41 (minimum version 1.12) + Go version: go1.16.6 + Git commit: 75249d8 + Built: Fri Jul 30 19:54:13 2021 + OS/Arch: linux/amd64 + Experimental: false + containerd: + Version: 1.4.9 + GitCommit: e25210fe30a0a703442421b0f60afac609f950a3 + runc: + Version: 1.0.1 + GitCommit: v1.0.1-0-g4144b63 + docker-init: + Version: 0.19.0 + GitCommit: de40ad0 +``` + +## 编译镜像 + +目前 IGinX 的 docker 镜像需要手动安装到本地。首先需要下载 IGinX 源码: + +```shell +$ cd ~ +$ git clone git@github.com:IGinX-THU/IGinX.git # 拉取最新的 IGinX 代码 +$ cd IGinX +``` + +随后开始构建 IGinX 镜像: + +目前 IGinX 镜像的构建分为两种: +- oneShot: 可以将包括 ZooKeeper、IGinX 在内所有依赖进行一键打包及运行。 +- onlyIginx: 另一种为单独构建 IGinX 镜像,需要用户在外部手动启动 ZooKeeper。 + +## oneShot 镜像 + +oneShot方法中,将ZooKeeper、IGinX分别打包为镜像运行,并创建一个网络以便服务之间进行通信。 + +在打包之前,需要修改`conf/config.properties`文件,修改IGinX中有关Zookeeper的参数设置,将用于访问服务的ip地址改为ZooKeeper容器的hostname,否则IGinX将无法访问Zookeeper服务。 + +```properties +# ZooKeeper hostname: zkServer +zookeeperConnectionString=zkServer:2181 +``` + +Zookeeper的hostname可以在`$IGINX_HOME/docker/oneShot/docker-compose.yaml`中进行自定义: + +```yaml +services: + zookeeper: + hostname: "custom_zookeeper_hostname" # default: zkServer +# conf/config.properties 需要做相应的修改 +``` + +修改完成后,运行以下命令进行镜像的构建和运行: + +```shell +$ cd docker/oneShot +$ ./build_and_run_iginx_docker.sh +``` + +显示出如下的字样表示镜像构建成功并且成功启动: + +```shell +[+] Building 18.2s (12/12) FINISHED + => [iginx internal] load build definition from Dockerfile 0.0s + => => transferring dockerfile: 387B 0.0s + => [iginx internal] load .dockerignore 0.0s + => => transferring context: 2B 0.0s + => [iginx internal] load metadata for docker.io/library/amazoncorretto:8 1.0s + => [iginx internal] load metadata for docker.io/library/maven:3-amazoncorretto-8 1.1s + => [iginx internal] load build context 0.3s + => => transferring context: 465.28kB 0.2s + => CACHED [iginx stage-1 1/2] FROM docker.io/library/amazoncorretto:8@sha256:39679cbf42bf0ac2f8de74aa2e87f162eb1 0.0s + => [iginx builder 1/4] FROM docker.io/library/maven:3-amazoncorretto-8@sha256:8891ab4c3fe9beb924af0595eef2389d24 0.0s + => CACHED [iginx builder 2/4] COPY . /root/IGinX 0.0s + => CACHED [iginx builder 3/4] WORKDIR /root/IGinX 0.0s + => [iginx builder 4/4] RUN --mount=type=cache,target=/root/.m2 mvn clean package -pl core,dataSources/parquet - 15.8s + => [iginx stage-1 2/2] COPY --from=builder /root/IGinX/core/target/iginx-core-dev /root/IGinX 0.2s + => [iginx] exporting to image 0.4s + => => exporting layers 0.4s + => => writing image sha256:3754b479bb230728b9b25194248f8dff1348ba87bd5925ddc91cc32fcdc5a0ee 0.0s + => => naming to docker.io/library/oneshot-parquet-iginx 0.0s +[+] Running 3/3 + ✔ Network oneshot-parquet_net Created 0.6s + ✔ Container zookeeper Started 1.0s + ✔ Container iginx1 Started +``` + +开启容器后,可以通过127.0.0.1:10001访问IGinX服务。 + +## onlyIginx 镜像 + +**注:在开始构建镜像前需要把 IGinX 配置的网络地址参数进行更改,将`conf/config.properties`中所有的“127.0.0.1”更改为“host.docker.internal”,以便IGinX镜像与宿主机的ZooKeeper和数据库进程进行通信** + +对于 onlyIginx 镜像,其构建方法如下: + +```shell +$ cd docker/onlyIginx +$ ./build_iginx_docker.sh +``` + +显示出如下的字样表示镜像构建成功: + +```shell +[+] Building 887.9s (12/12) FINISHED +=> [internal] load build definition from Dockerfile-iginx 0.1s +=> => transferring dockerfile: 406B 0.0s +=> [internal] load .dockerignore 0.1s +=> => transferring context: 2B 0.0s +=> [internal] load metadata for docker.io/library/openjdk:11-jre-slim 5.3s +=> [internal] load metadata for docker.io/library/maven:3-amazoncorretto-8 3.3s +=> [internal] load build context 3.6s +=> => transferring context: 475.61MB 3.5s +=> CACHED [builder 1/4] FROM docker.io/library/maven:3-amazoncorretto-8@sha256:c9d6016fad9c479b874f270a80d80f891 0.0s +=> [stage-1 1/2] FROM docker.io/library/openjdk:11-jre-slim@sha256:93af7df2308c5141a751c4830e6b6c5717db102b3b31 38.3s +=> => resolve docker.io/library/openjdk:11-jre-slim@sha256:93af7df2308c5141a751c4830e6b6c5717db102b3b31f012ea29d 0.1s +=> => sha256:764a04af3eff09cc6a29bcc19cf6315dbea455d7392c1a588a5deb331a929c29 7.55kB / 7.55kB 0.0s +=> => sha256:1efc276f4ff952c055dea726cfc96ec6a4fdb8b62d9eed816bd2b788f2860ad7 31.37MB / 31.37MB 25.6s +=> => sha256:a2f2f93da48276873890ac821b3c991d53a7e864791aaf82c39b7863c908b93b 1.58MB / 1.58MB 2.7s +=> => sha256:12cca292b13cb58fadde25af113ddc4ac3b0c5e39ab3f1290a6ba62ec8237afd 212B / 212B 1.2s +=> => sha256:93af7df2308c5141a751c4830e6b6c5717db102b3b31f012ea29d842dc4f2b02 549B / 549B 0.0s +=> => sha256:884c08d0f406a81ae1b5786932abaf399c335b997da7eea6a30cc51529220b66 1.16kB / 1.16kB 0.0s +=> => sha256:d73cf48caaac2e45ad76a2a9eb3b311d0e4eb1d804e3d2b9cf075a1fa31e6f92 46.04MB / 46.04MB 37.3s +=> => extracting sha256:1efc276f4ff952c055dea726cfc96ec6a4fdb8b62d9eed816bd2b788f2860ad7 1.0s +=> => extracting sha256:a2f2f93da48276873890ac821b3c991d53a7e864791aaf82c39b7863c908b93b 0.1s +=> => extracting sha256:12cca292b13cb58fadde25af113ddc4ac3b0c5e39ab3f1290a6ba62ec8237afd 0.0s +=> => extracting sha256:d73cf48caaac2e45ad76a2a9eb3b311d0e4eb1d804e3d2b9cf075a1fa31e6f92 0.7s +=> [builder 2/4] COPY . /root/iginx 1.3s +=> [builder 3/4] WORKDIR /root/iginx 0.1s +=> [builder 4/4] RUN mvn clean package -DskipTests -P passFormat 876.3s +=> [stage-1 2/2] COPY --from=builder /root/iginx/core/target/iginx-core-0.6.0-SNAPSHOT /iginx 0.2s +=> exporting to image 0.5s +=> => exporting layers 0.5s +=> => writing image sha256:e738348598c9db601dbf39c7a8ca9e1396c5ff51769afeb0fe3da12e2fdcd73a 0.0s +=> => naming to docker.io/library/iginx:0.6.0 +``` + +接下来运行镜像,创建IGinX容器。 + +首先启动 Zookeeper: + +```shell +$ cd ${zookeeper_path} +$ ./bin/zkServer.sh start +``` + +然后对IGinX配置文件`$IGINX_HOME/conf/config.properties`进行修改: + +1. IGinX IP: + + a. 如果不会给IGinX容器指定IP,则填写宿主机的IP。 + + ```properties + # example: + ip:11.272.81.34 + ``` + + b. 如果需要给IGinX指定IP,则填写将要分配的IP。 + + ```properties + # example + ip:172.34.1.2 + ``` +2. Parquet数据库服务的IP: + + a. 如果需要让该IGinX启动一个本地parquet服务,则为Parquet服务配置和IGinX相同的IP。 + + ```properties + # example + ip:11.272.81.34 + storageEngineList=11.272.81.34#6667#parquet#dir=/path/to/your/parquet#dummy_dir=/path/to/your/data#iginx_port=6888#has_data=false#is_read_only=false + ``` + + b. 如果需要连接一个已存在的远程Parquet服务,则配置相应的IP地址 + + ```properties + # example + ip:11.272.81.34 + storageEngineList=11.272.83.2#6667#parquet#dir=/path/to/your/parquet#dummy_dir=/path/to/your/data#iginx_port=6888#has_data=false#is_read_only=false + ``` +3. ZooKeeper服务的IP: + + 填写ZooKeeper服务实际运行在的宿主机的IP地址。 + + 若ZooKeeper是作为容器运行,且和该IGinX容器在同一个网桥,可以使用该ZooKeeper容器的hostname。 + + ```properties + # example + zookeeperConnectionString=11.272.81.34:2181 + ``` + +最后启动 IGinX即可完成整个系统的启动: + +```shell +$ cd ${iginx_path}/docker/onlyIginx +$ ./run_iginx_docker.sh -n iginx0 -p 10001 +# -n 该IGinX容器的名字 +# -p 10001为IGinX容器映射到宿主机的端口,用户可以根据自己的主机情况自定义 +``` + +该命令会将本地的 10001 接口暴露出来,作为与 IGinX 集群的通讯接口。在宿主机上通过地址 127.0.0.1:10001 即可开始访问 IGinX。 + +运行脚本同时提供了两个可选的命令行参数 `-c` 和 `-o`。用户可以通过配置这两个参数进一步控制IGinX容器的运行方式。 + +```shell +# example +$ ./run_iginx_docker.sh -n iginx0 -p 10001 -c my/path/to/config -o myNetwork +# -n 该IGinX容器的名字 +# -p 10001为IGinX容器映射到宿主机的端口,用户可以根据自己的主机情况自定义 +# [optional] -c 指定使用配置文件的绝对地址 (默认值: "$IGINX_HOME/conf/config.properties") +# (当需要维护多份配置文件时会非常有用) +# [optional] -o overlay network +# (overlay网络可以进行跨主机的容器通信,能够实现大规模的容器集群) +``` + diff --git a/docs/quickStarts_Parquet/IGinXBySource-EnglishVersion.md b/docs/quickStarts_Parquet/IGinXBySource-EnglishVersion.md new file mode 100644 index 0000000000..a5c51e7960 --- /dev/null +++ b/docs/quickStarts_Parquet/IGinXBySource-EnglishVersion.md @@ -0,0 +1,540 @@ +# IGinX Installation Manual - By Source (Compilation and Installation) + +[TOC] + +IGinX is an open source polystore system. A polystore system provides an integrated data management service over a set of one or more potentially heterogeneous database/storage engines, serving heterogeneous workloads. + +Currently, IGinX directly supports big data service over relational database PostgreSQL, time series databases InfluxDB/IoTDB/TimescaleDB/OpenTSDB, and Parquet data files. + +## Download and Installation + +### Java Installation + +Since ZooKeeper, IGinX and IoTDB are all developed using Java, Java needs to be installed first. If a running environment of JDK >= 1.8 has been installed locally, **skip this step entirely**. + +1. First, visit the [official Java website](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html) to download the JDK package for your current system. + +2. Installation + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # unzip files +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +4. Use java -version to determine whether JDK installed successfully. + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +If the words above are displayed, it means the installation was successful. + +### Maven Installation + +Maven is a build automation tool used primarily to build and managa Java projects. If you need to compile from the source code, you also need to install a Maven environment >= 3.6. Otherwise, **skip this step entirely**. + +1. Visit the [official website](http://maven.apache.org/download.cgi)to download and unzip Maven + +```shell +$ wget http://mirrors.hust.edu.cn/apache/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz +$ tar -xvf apache-maven-3.3.9-bin.tar.gz +$ sudo mv -f apache-maven-3.3.9 /usr/local/ +``` + +2. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export MAVEN_HOME=/usr/local/apache-maven-3.3.9 +export PATH=${PATH}:${MAVEN_HOME}/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +3. Type mvn -v to determine whether Maven installed successfully. + +```shell +$ mvn -v +Apache Maven 3.6.1 (d66c9c0b3152b2e69ee9bac180bb8fcc8e6af555; 2019-04-05T03:00:29+08:00) +``` + +If the words above are displayed, that means the installation was successful. + +### Node.js Installation + +The project requires Node.js installation. If you already have it installed on your device, **skip this part**. + +1. Download Node.js package from [here](https://nodejs.org/en/download). + +```shell +$ cd ~ +$ wget https://nodejs.org/dist/v18.16.1/node-v18.16.1-linux-x64.tar.xz +$ tar -zxvf node-v18.16.1-linux-x64.tar.xz +$ sudo mv -f node-v18.16.1-linux-x64 /usr/local/ +``` + +2. Add environment variable. + +Attach code below to file `~/.bashrc` + +```shell +export NODEJS_HOME=/usr/local/node-v18.16.1-linux-x64 +export PATH=${PATH}:${NODEJS_HOME}/bin +``` + +Load file `~/.bashrc` to apply changes. + +```shell +$ source ~/.bashrc +``` + +Confirm the Installation by testing `npm` command + +```shell +$ npm -v +9.5.1 +``` + +### ZooKeeper Installation + +ZooKeeper enables highly reliable distributed coordination. In IGinX, ZooKeeper makes it possible to have more than one IGinX instances deployed. + +1. Download ZooKeeper package from [here](https://zookeeper.apache.org/releases.html). + +```shell +$ cd ~ +$ wget https://dlcdn.apache.org/zookeeper/zookeeper-3.7.2/apache-zookeeper-3.7.2-bin.tar.gz +$ tar -zxvf apache-zookeeper-3.7.2-bin.tar.gz +``` + +2. Modify config. + +```shell +$ cd apache-zookeeper-3.7.2-bin/ +$ mkdir data +$ cp conf/zoo_sample.cfg conf/zoo.cfg +``` + +Modify file`conf/zoo.cfg`. + +```shell +# Original conf/zoo.cfg +dataDir=/tmp/zookeeper +# ↓ change to +dataDir=data +``` + +### IGinX Installation + +Compile with source code. If you need to modify code yourself, you can use this installation method. + +#### Compilation with source code + +Fetch the latest development version and build it locally. + +```shell +$ cd ~ +$ git clone git@github.com:IGinX-THU/IGinX.git +$ cd IGinX +$ mvn clean install -Dmaven.test.skip=true +``` + +The following words are displayed, indicating that the IGinX build is successful: + +```shell +[INFO] ------------------------------------------------------------------------ +[INFO] Reactor Summary for IGinX 0.6.0-SNAPSHOT: +[INFO] +[INFO] IGinX .............................................. SUCCESS [ 20.674 s] +[INFO] IGinX Thrift ....................................... SUCCESS [01:18 min] +[INFO] IGinX Shared ....................................... SUCCESS [ 8.101 s] +[INFO] IGinX Session ...................................... SUCCESS [ 3.168 s] +[INFO] IGinX Antlr ........................................ SUCCESS [ 16.170 s] +[INFO] IGinX Core ......................................... SUCCESS [03:35 min] +[INFO] IGinX Client ....................................... SUCCESS [ 11.159 s] +[INFO] IGinX JDBC ......................................... SUCCESS [ 3.426 s] +[INFO] IGinX IoTDB12 ...................................... SUCCESS [ 31.081 s] +[INFO] IGinX InfluxDB ..................................... SUCCESS [ 17.516 s] +[INFO] IGinX OpenTSDB ..................................... SUCCESS [ 11.103 s] +[INFO] IGinX PostgreSQL ................................... SUCCESS [ 4.449 s] +[INFO] IGinX Parquet ...................................... SUCCESS [01:28 min] +[INFO] IGinX Redis ........................................ SUCCESS [ 9.875 s] +[INFO] IGinX MongoDB ...................................... SUCCESS [ 10.020 s] +[INFO] IGinX Example ...................................... SUCCESS [ 3.864 s] +[INFO] IGinX Test ......................................... SUCCESS [ 5.490 s] +[INFO] Zeppelin on IGinX .................................. SUCCESS [ 25.019 s] +[INFO] IGinX Tools for CSV export ......................... SUCCESS [ 2.860 s] +[INFO] ------------------------------------------------------------------------ +[INFO] BUILD SUCCESS +[INFO] ------------------------------------------------------------------------ +[INFO] Total time: 09:25 min +[INFO] Finished at: 2023-06-20T10:28:24+08:00 +[INFO] ------------------------------------------------------------------------ +``` + +## Launch + +### ZooKeeper + +Launch ZooKeeper before IGinX. + +```shell +$ cd ~ +$ cd apache-zookeeper-3.7.2-bin/ +$ ./bin/zkServer.sh start +``` + +You will see messages as below if ZooKeeper is successfully started. + +```shell +ZooKeeper JMX enabled by default +Using config: /home/root/apache-zookeeper-3.7.2-bin/bin/../conf/zoo.cfg +Starting zookeeper ... STARTED +``` + +### IGinX + +Modify `IGINX_HOME/conf/config.properties` and set storage engine to Parquet. + +```properties +storageEngineList=127.0.0.1#6667#parquet#dir=parquetData#has_data=false#is_read_only=false +# dir=parquetData will create a /parquetData folder in the working directory. You can customize the name. +``` + +Using source code to launch + +```shell +$ cd ~ +$ cd IGinX +$ chmod +x startIginX.sh # enable permissions for startup scripts +$ ./startIginX.sh +``` + +The following display of words means the IGinX installation was successful: + +```shell +2023-06-30 10:32:05,260 [Thread-3] INFO - [cn.edu.tsinghua.iginx.parquet.server.ParquetServer.startServer:42] parquet service starts successfully! + + +IGinX is now in service...... +``` + +## Using IGinX + +### RESTful Interface + +After the startup is complete, you can easily use the RESTful interface to write and query data to IGinX. + +Create a file insert.json and add the following into it: + +```json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2 ], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +``` + +Insert data into the database using the following command: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +After inserting data, you can also query the data just written using the RESTful interface. + +Create a file query.json and write the following data into it: + +```json +{ + "start_absolute" : 1, + "end_relative": { + "value": "5", + "unit": "days" + }, + "time_zone": "Asia/Kabul", + "metrics": [ + { + "name": "archive_file_tracked" + }, + { + "name": "archive_file_search" + } + ] +} +``` + +Enter the following command to query the data: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +The command will return information about the data point just inserted: + +```json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +``` + +If you see the following information returned, it means you are able to successfully use RESTful interface to write and query data to IGinX. + +For more interfaces, please refer to the official [IGinX manual](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf). + +If you want to use a different interface, there is another option. + +In addition to the RESTful interface, IGinX also provides the RPC data access interface. For this specific interface, please refer to the official [IGinX manual](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf). + +At the same time, IGinX also provides some official examples, showing the most common usage of the RPC interface. + +Below is a short tutorial on how to use it. + +### RPC Interface + +Since the IGinX 0.5.1 version has not been released to the Maven central repository, if you want to use it, you need to manually install it to the local Maven repository. + +The specific installation method is as follows: + +```shell +# download iginx 0.4 release version source code package +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# Unzip the source package +$ tar -zxvf v0.5.1.tar.gz +# go to the main project's directory +$ cd IGinX-rc-v0.5.1 +# Install to local Maven repository +$ mvn clean install -DskipTests +``` + +Specifically, when using it, you only need to introduce the following dependencies in the pom file of the corresponding project: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +Before accessing IGinX, you first need to create a session and try to connect. The Session constructor has 4 parameters, which are the ip and port IGinX will to connect to, and the username and password for IGinX authentication. The current authentication system is still being written, so the account name and password to access the backend IGinX can directly fill in root: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +You can then try to insert data into IGinX. Since IGinX supports the creation of time-series when data is written for the first time, there is no need to call the relevant series creation interface in advance. IGinX provides row-style and column-style data writing interfaces. + +The following is an example of using the column-style data writing interface: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values = new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +After completing the data writing, you can use the data query interface to query the data just written: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +You can also use the downsampling aggregation query interface to query the interval statistics of the data: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + // MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + // FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} +``` + +After the session is completed, you need to manually close and release your connection from your terminal/backend: + +```shell +session.closeSession(); +``` + +For the full version of the code, please refer to: https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/ParquetSessionExample.java diff --git a/docs/quickStarts_Parquet/IGinXBySource.md b/docs/quickStarts_Parquet/IGinXBySource.md new file mode 100644 index 0000000000..c8ad583c2d --- /dev/null +++ b/docs/quickStarts_Parquet/IGinXBySource.md @@ -0,0 +1,537 @@ +# IGinX 安装使用教程(编译安装) + +[TOC] + +IGinX是清华大学“清华数为”大数据软件栈的“大数据总线”,面向解决用户在大数据场景下“管数烦、用数难”的问题而研发。它的特色包括“负载均衡弹性好、异构关联全局化、数据使用不搬家、Python集成便利大、SQL输入实时查”。 + +IGinX支持用户一体化管理已存储在不同系统中的数据资产,也支持用户统一读写、查询、关联特定系统中的数据。目前,IGinX支持一体化管理包括关系数据库PostgreSQL、时序数据库InfluxDB/IotDB/TimescaleDB/OpenTSDB、大数据文件Parquet集合等存储的数据。 + +## 安装 + +### Java 安装 + +由于 ZooKeeper、IGinX 以及 IoTDB 都是使用 Java 开发的,因此首先需要安装 Java。如果本地已经安装了 JDK>=1.8 的运行环境,**直接跳过此步骤**。 + +1. 首先访问 [Java官方网站](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html)下载适用于当前系统的 JDK 包。 +2. 安装 + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # 解压文件 +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +4. 使用 java -version 判断 JDK 是否安装成功 + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +如果显示出如上的字样,则表示安装成功。 + +### Maven 安装 + +Maven 是 Java 项目管理和自动构建工具,如果您需要从源码进行编译,还需要安装 Maven >= 3.6 的环境,否则,**直接跳过此步骤**。 + +1. 访问[官网](http://maven.apache.org/download.cgi)下载并解压 Maven + +``` +$ wget http://mirrors.hust.edu.cn/apache/maven/maven-3/3.3.9/binaries/apache-maven-3.3.9-bin.tar.gz + +$ tar -xvf apache-maven-3.3.9-bin.tar.gz + +$ sudo mv -f apache-maven-3.3.9 /usr/local/ +``` + +2. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export MAVEN_HOME=/usr/local/apache-maven-3.3.9 +export PATH=${PATH}:${MAVEN_HOME}/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +3. 使用 mvn -v 判断 Maven 是否安装成功 + +```shell +$ mvn -v +Apache Maven 3.6.1 (d66c9c0b3152b2e69ee9bac180bb8fcc8e6af555; 2019-04-05T03:00:29+08:00) +``` + +如果显示出如上的字样,则表示安装成功。 + +### Node.js 安装 + +Node.js是跨平台、轻量级的JavaScript运行环境,项目使用npm管理相关的Node.js包。 + +1. 访问[官网](https://nodejs.org/en/download),下载并解压Node.js + +```shell +$ cd ~ +$ wget https://nodejs.org/dist/v18.16.1/node-v18.16.1-linux-x64.tar.xz +$ tar -zxvf node-v18.16.1-linux-x64.tar.xz +$ sudo mv -f node-v18.16.1-linux-x64 /usr/local/ +``` + +2. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下两行: + +```shell +export NODEJS_HOME=/usr/local/node-v18.16.1-linux-x64 +export PATH=${PATH}:${NODEJS_HOME}/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +3. 使用 npm -v 判断是否安装成功 + +```shell +$ npm -v +9.5.1 +``` + +### ZooKeeper 安装 + +ZooKeeper 是 Apache 推出的开源的分布式应用程序协调服务。如果您需要部署大于一个 IGinX 实例,则需要安装 ZooKeeper + +具体安装方式如下: + +1. 访问[官网](https://zookeeper.apache.org/releases.html)下载并解压 ZooKeeper + +```shell +$ cd ~ +$ wget https://dlcdn.apache.org/zookeeper/zookeeper-3.7.2/apache-zookeeper-3.7.2-bin.tar.gz +$ tar -zxvf apache-zookeeper-3.7.2-bin.tar.gz +``` + +2. 修改 ZooKeeper 默认配置文件 + +```shell +$ cd apache-zookeeper-3.7.2-bin/ +$ mkdir data +$ cp conf/zoo_sample.cfg conf/zoo.cfg +``` + +然后编辑 conf/zoo.cfg 文件,将 + +```shell +dataDir=/tmp/zookeeper +``` + +修改为 + +```shell +dataDir=data +``` + +### IGinX 安装 + +拉取最新开发版本,并进行本地构建 + +```shell +$ cd ~ +$ git clone git@github.com:IGinX-THU/IGinX.git +$ cd IGinX +$ mvn clean install -Dmaven.test.skip=true +``` + +显示出如下字样,表示 IGinX 构建成功: + +```shell +[INFO] ------------------------------------------------------------------------ +[INFO] Reactor Summary for IGinX 0.6.0-SNAPSHOT: +[INFO] +[INFO] IGinX .............................................. SUCCESS [ 20.674 s] +[INFO] IGinX Thrift ....................................... SUCCESS [01:18 min] +[INFO] IGinX Shared ....................................... SUCCESS [ 8.101 s] +[INFO] IGinX Session ...................................... SUCCESS [ 3.168 s] +[INFO] IGinX Antlr ........................................ SUCCESS [ 16.170 s] +[INFO] IGinX Core ......................................... SUCCESS [03:35 min] +[INFO] IGinX Client ....................................... SUCCESS [ 11.159 s] +[INFO] IGinX JDBC ......................................... SUCCESS [ 3.426 s] +[INFO] IGinX IoTDB12 ...................................... SUCCESS [ 31.081 s] +[INFO] IGinX InfluxDB ..................................... SUCCESS [ 17.516 s] +[INFO] IGinX OpenTSDB ..................................... SUCCESS [ 11.103 s] +[INFO] IGinX PostgreSQL ................................... SUCCESS [ 4.449 s] +[INFO] IGinX Parquet ...................................... SUCCESS [01:28 min] +[INFO] IGinX Redis ........................................ SUCCESS [ 9.875 s] +[INFO] IGinX MongoDB ...................................... SUCCESS [ 10.020 s] +[INFO] IGinX Example ...................................... SUCCESS [ 3.864 s] +[INFO] IGinX Test ......................................... SUCCESS [ 5.490 s] +[INFO] Zeppelin on IGinX .................................. SUCCESS [ 25.019 s] +[INFO] IGinX Tools for CSV export ......................... SUCCESS [ 2.860 s] +[INFO] ------------------------------------------------------------------------ +[INFO] BUILD SUCCESS +[INFO] ------------------------------------------------------------------------ +[INFO] Total time: 09:25 min +[INFO] Finished at: 2023-06-20T10:28:24+08:00 +[INFO] ------------------------------------------------------------------------ +``` + +## 启动 + +### ZooKeeper + +启动IGinX前,需要启动ZooKeeper。 + +```shell +$ cd ~ +$ cd apache-zookeeper-3.7.2-bin/ +$ ./bin/zkServer.sh start +``` + +显示出如下字样,表示 ZooKeeper 启动成功 + +```shell +ZooKeeper JMX enabled by default +Using config: /home/root/apache-zookeeper-3.7.2-bin/bin/../conf/zoo.cfg +Starting zookeeper ... STARTED +``` + +### IGinX + +修改`IGINX_HOME/conf/config.properties`,设置时序数据库为parquet + +```properties +storageEngineList=127.0.0.1#6667#parquet#dir=parquetData#has_data=false#is_read_only=false +# dir=parquetData将在工作目录创建一个parquetData文件夹,用户也可以修改为其他路径(工作目录中) +``` + +使用源码启动 + +```shell +$ cd ~ +$ cd IGinX/core/target/iginx-core-0.6.0-SNAPSHOT +$ chmod +x sbin/start_iginx.sh # 为启动脚本添加启动权限 +$ ./sbin/start_iginx.sh +``` + +显示出如下字样,表示 IGinX 启动成功: + +```shell +2023-06-30 10:32:05,260 [Thread-3] INFO - [cn.edu.tsinghua.iginx.parquet.server.ParquetServer.startServer:42] parquet service starts successfully! + + +IGinX is now in service...... +``` + +## 访问 IGinX + +### RESTful 接口 + +启动完成后,可以便捷地使用 RESTful 接口向 IGinX 中写入并查询数据。 + +创建文件 insert.json,并向其中添加如下的内容: + +```json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2 ], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +``` + +使用如下的命令即可向数据库中插入数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +在插入数据后,还可以使用 RESTful 接口查询刚刚写入的数据。 + +创建文件 query.json,并向其中写入如下的数据: + +```json +{ + "start_absolute" : 1, + "end_relative": { + "value": "5", + "unit": "days" + }, + "time_zone": "Asia/Kabul", + "metrics": [ + { + "name": "archive_file_tracked" + }, + { + "name": "archive_file_search" + } + ] +} +``` + +使用如下的命令查询数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +命令会返回刚刚插入的数据点信息: + +```json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +``` + +更多接口可以参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf) 。 + +### RPC 接口 + +除了 RESTful 接口外,IGinX 还提供了 RPC +的数据访问接口,具体接口参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf),同时 IGinX +还提供了部分[官方 example](https://github.com/IGinX-THU/IGinX/tree/main/example/src/main/java/cn/edu/tsinghua/iginx/session),展示了 +RPC 接口最常见的用法。 + +下面是一个简短的使用教程。 + +由于目前 IGinX 0.5.1 版本还未发布到 maven 中央仓库,因此如需使用的话,需要手动安装到本地的 maven 仓库。具体安装方式如下: + +```shell +# 下载 IGinX 0.5.1 release 版本源码包 +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# 解压源码包 +$ tar -zxvf v0.5.1.tar.gz +# 进入项目主目录 +$ cd IGinX-rc-v0.5.1 +# 安装到本地 maven 仓库 +$ mvn clean install -DskipTests +``` + +具体在使用时,只需要在相应的项目的 pom 文件中引入如下的依赖: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +在访问 IGinX 之前,首先需要创建 session,并尝试连接。Session 构造器有 4 个参数,分别是要连接的 IGinX 的 ip,port,以及用于 IGinX 认证的用户名和密码。目前的权鉴系统还在编写中,因此访问后端 +IGinX 的账户名和密码直接填写 root 即可: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +随后可以尝试向 IGinX 中插入数据。由于 IGinX 支持在数据首次写入时创建时间序列,因此并不需要提前调用相关的序列创建接口。IGinX 提供了行式和列式的数据写入接口,以下是列式数据写入接口的使用样例: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values = new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +在完成数据写入后,可以使用数据查询接口查询刚刚写入的数据: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +还可以使用降采样聚合查询接口来查询数据的区间统计值: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + // MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + // FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} + +``` + +最终使用完 session 后需要手动关闭,释放连接: + +```shell +session.closeSession(); +``` + +完整版使用代码可以参考:https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/ParquetSessionExample.java diff --git a/docs/quickStarts_Parquet/IGinXCluster-EnglishVersion.md b/docs/quickStarts_Parquet/IGinXCluster-EnglishVersion.md new file mode 100644 index 0000000000..72106f6f42 --- /dev/null +++ b/docs/quickStarts_Parquet/IGinXCluster-EnglishVersion.md @@ -0,0 +1,444 @@ +# IGinX Installation and Use Manual (Cluster) + +[TOC] + +IGinX is an open source polystore system. A polystore system provides an integrated data management service over a set of one or more potentially heterogeneous database/storage engines, serving heterogeneous workloads. + +Currently, IGinX directly supports big data service over relational database PostgreSQL, time series databases InfluxDB/IoTDB/TimescaleDB/OpenTSDB, and Parquet data files. + +## Download and Installation + +### Java Installation + +Since ZooKeeper, IGinX and IoTDB are all developed using Java, Java needs to be installed first. If a running environment of JDK >= 1.8 has been installed locally, **skip this step entirely**. + +1. First, visit the [official Java website](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html) to download the JDK package for your current system. + +2. Installation + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # unzip files +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +4. Use java -version to determine whether JDK installed successfully. + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +If the words above are displayed, it means the installation was successful. + +#### ZooKeeper Installation + +ZooKeeper is an open-source server for highly reliable distributed coordination of cloud applications, launched by Apache. If you need to deploy more than one instance of IGinX, you will need to install ZooKeeper. Otherwise, **skip this step entirely** + +The specific installation method is as follows, + +1. Visit the [official website](https://zookeeper.apache.org/releases.html)to download and unzip ZooKeeper + +```shell +$ cd ~ +$ wget https://dlcdn.apache.org/zookeeper/zookeeper-3.7.2/apache-zookeeper-3.7.2-bin.tar.gz +$ tar -zxvf apache-zookeeper-3.7.2-bin.tar.gz +``` + +2. Modify the default ZooKeeper profile + +```shell +$ cd apache-zookeeper-3.7.2-bin/ +$ mkdir data +$ cp conf/zoo_sample.cfg conf/zoo.cfg +``` + +Then edit the conf/zoo.cfg file and + +```shell +dataDir=/tmp/zookeeper +``` + +Modify to + +```shell +dataDir=data +``` + +### IGinX Installation + +Go directly to the [IGinX project](https://github.com/IGinX-THU/IGinX) and download the [IGinX project release package](https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-release-v0.5.1-bin.tar.gz). That's it. + +```shell +$ cd ~ +$ wget https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-release-v0.5.1-bin.tar.gz +$ tar -zxvf IGinX-release-v0.5.1-bin.tar.gz +``` + +## Launch + +Here is an example of starting two IGinX instances and two Parquet database servers to demonstrate how to start an IGinX cluster. These two Parquet servers are created by two IGinX instances respectively. + +### Start ZooKeeper + +```shell +$ cd ~ +$ cd apache-zookeeper-3.7.2-bin/ +$ ./bin/zkServer.sh start +``` + +The following display of words means the ZooKeeper installation and launch was successful: + +```shell +ZooKeeper JMX enabled by default +Using config: /home/root/apache-zookeeper-3.7.2-bin/bin/../conf/zoo.cfg +Starting zookeeper ... STARTED +``` + +### Start multiple IGinX instances + +Modify IGINX_HOME/conf/config.Properties to set up ZooKeeper. + +```shell +#Storage method set to ZooKeeper +metaStorage=zookeeper + +# Provide ZooKeeper port +zookeeperConnectionString=127.0.0.1:2181 + +# Comment out file, etcd related configuration, ignore it if not found +# fileDataDir=meta +# etcdEndpoints=http://localhost:2379 +``` + +Start the first IGinX instance + +```shell +$ cd ~ +$ cd Iginx +$ chmod +x sbin/start_iginx.sh # Add startup permissions to the startup script +$ ./sbin/start_iginx.sh +``` + +Modify conf/config.Properties + +```shell +# IGinX binding port +port=7888 + +# Parquet database server port, IGinX port and data directory +storageEngineList=127.0.0.1#6668#parquet#dir=parquetData2#iginx_port=7888#has_data=false#is_read_only=false + +# rest bind port +restPort=7666 +``` + +Launch a second instance of IGinX. + +```shell +$ ./sbin/start_iginx.sh +``` + +## Access IGinX + +### RESTful Interface + +After the startup is complete, you can easily use the RESTful interface to write and query data to IGinX. + +Create the file insert.json and add the following to it: + +```json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +``` + +Insert data into the database from an IGinX instance using the following command: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +After inserting data, you can also query the data just written using the RESTful interface. + +Create a file query.json and write the following data to it: + +```json +{ +"start_absolute" : 1, +"end_relative": { +"value": "5", +"unit": "days" +}, +"time_zone": "Asia/Kabul", +"metrics": [ +{ +"name": "archive_file_tracked" +}, +{ +"name": "archive_file_search" +} +] +} +``` + +Use the following command to query data from IGinX instance two: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +The command will return information about the data point just inserted: + +```json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +``` + +For more interfaces, please refer to the official IGinX manual. + +### RPC Interface + +In addition to the RESTful interface, IGinX also provides RPC data access interface. For that specific interface, please refer to the official[IGinX Official Manual](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf). At the same time, IGinX also provides some [official examples](https://github.com/IGinX-THU/IGinX/tree/main/example/src/main/java/cn/edu/tsinghua/iginx/session), showing the most common usage of the RPC interface. + +Below is a short tutorial on how to use it. + +Since the IGinX 0.5.1 version has not been released to the maven central repository, if you want to use it, you need to manually install it to the local maven repository. The specific installation method is as follows: + +```shell +# Download IGinX 0.5.1 version source package +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# Unzip the source package +$ tar -zxvf v0.5.1.tar.gz +# Enter the project's main directory +$ cd IGinX-release-v0.5.1 +# Install to local maven repository +$ mvn clean install -DskipTests +``` + +Only when you are using it, you need to introduce the following dependencies in the pom file of the corresponding project: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +Before accessing IGinX, you first need to open a session and try to connect. The session constructor has 4 parameters, which are the ip and port of IGinX to connect to, and the username and password for IGinX authentication. The current authentication system is still being written, so the account name and password to access the backend IGinX can directly fill in root: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +You can then try to insert data into IGinX. Since IGinX supports the creation of time series when data is written for the first time, there is no need to call the relevant series creation interface in advance. IGinX provides a row-style and column-style data-writing interface. The following is a usage example of the column-style data writing interface: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values ​​= new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +After completing the data writing, you can use the data query interface to query the data just written: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +You can also use the downsampling aggregation query interface to query the interval statistics of the data: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + //MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + //FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} + +``` + +After the session is completed, you need to manually close and release your connection from your terminal/backend: + +```shell +session.closeSession(); +``` + +For the full version of the code, please refer to: https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/ParquetSessionExample.java diff --git a/docs/quickStarts_Parquet/IGinXCluster.md b/docs/quickStarts_Parquet/IGinXCluster.md new file mode 100644 index 0000000000..7452ca9577 --- /dev/null +++ b/docs/quickStarts_Parquet/IGinXCluster.md @@ -0,0 +1,448 @@ +# IGinX 安装使用教程(集群) + +[TOC] + +IGinX是清华大学“清华数为”大数据软件栈的“大数据总线”,面向解决用户在大数据场景下“管数烦、用数难”的问题而研发。它的特色包括“负载均衡弹性好、异构关联全局化、数据使用不搬家、Python集成便利大、SQL输入实时查”。 + +IGinX支持用户一体化管理已存储在不同系统中的数据资产,也支持用户统一读写、查询、关联特定系统中的数据。目前,IGinX支持一体化管理包括关系数据库PostgreSQL、时序数据库InfluxDB/IotDB/TimescaleDB/OpenTSDB、大数据文件Parquet集合等存储的数据。 + +## 安装 + +### Java 安装 + +由于 ZooKeeper、IGinX 以及 IoTDB 都是使用 Java 开发的,因此首先需要安装 Java。如果本地已经安装了 JDK>=1.8 的运行环境,**直接跳过此步骤**。 + +1. 首先访问 [Java官方网站](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html)下载适用于当前系统的 JDK 包。 +2. 安装 + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # 解压文件 +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +4. 使用 java -version 判断 JDK 是否安装成功 + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +如果显示出如上的字样,则表示安装成功。 + +### ZooKeeper 安装 + +ZooKeeper 是 Apache 推出的开源的分布式应用程序协调服务。如果您需要部署大于一个 IGinX 实例,则需要安装 ZooKeeper + +ZooKeeper 是 Apache 推出的开源的分布式应用程序协调服务。具体安装方式如下: + +1. 访问[官网](https://zookeeper.apache.org/releases.html)下载并解压 ZooKeeper + +```shell +$ cd ~ +$ wget https://dlcdn.apache.org/zookeeper/zookeeper-3.7.2/apache-zookeeper-3.7.2-bin.tar.gz +$ tar -zxvf apache-zookeeper-3.7.2-bin.tar.gz +``` + +2. 修改 ZooKeeper 默认配置文件 + +```shell +$ cd apache-zookeeper-3.7.2-bin/ +$ mkdir data +$ cp conf/zoo_sample.cfg conf/zoo.cfg +``` + +然后编辑 conf/zoo.cfg 文件,将 + +```shell +dataDir=/tmp/zookeeper +``` + +修改为 + +```shell +dataDir=data +``` + +### IGinX 安装 + +直接访问 [IGinX 项目](https://github.com/IGinX-THU/IGinX)下载 [IGinX 项目发布包](https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-release-v0.5.1-bin.tar.gz) +即可。 + +```shell +$ cd ~ +$ wget https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-release-v0.5.1-bin.tar.gz +$ tar -zxvf IGinX-release-v0.5.1-bin.tar.gz +``` + +## 启动 + +这里以启动两个 IGinX 实例和两个Parquet数据库服务为例子,演示如何启动 IGinX 集群。两个Parquet数据库服务分别由两个IGinX创建并可以访问互联。 + +### 启动 ZooKeeper + +```shell +$ cd ~ +$ cd apache-zookeeper-3.7.2-bin/ +$ ./bin/zkServer.sh start +``` + +显示出如下字样,表示 ZooKeeper 启动成功 + +```shell +ZooKeeper JMX enabled by default +Using config: /home/root/apache-zookeeper-3.7.2-bin/bin/../conf/zoo.cfg +Starting zookeeper ... STARTED +``` + +### 启动多个 IGinX 实例 + +修改 IGINX_HOME/conf/config. Properties,配置ZooKeeper 参数。 + +```shell +#存储方式选择 ZooKeeper +metaStorage=zookeeper + +# 提供ZooKeeper端口 +zookeeperConnectionString=127.0.0.1:2181 + +#注释掉file、etcd相关配置,若没有相关配置,则忽视 +#fileDataDir=meta +#etcdEndpoints=http://localhost:2379 +``` + +启动第一个 IGinX 实例 + +```shell +$ cd ~ +$ cd Iginx +$ chmod +x sbin/start_iginx.sh # 为启动脚本添加启动权限 +$ ./sbin/start_iginx.sh +``` + +修改 conf/config. Properties + +```shell +# IGinX 绑定的端口 +port=7888 + +# Parquet 数据库端口|IGinX端口和数据文件夹配置 +storageEngineList=127.0.0.1#6668#parquet#dir=parquetData2#iginx_port=7888#has_data=false#is_read_only=false + +# rest 绑定的端口 +restPort=7666 +``` + +启动第二个 IGinX 实例 + +```shell +$ ./sbin/start_iginx.sh +``` + +## 访问 IGinX + +### RESTful 接口 + +启动完成后,可以便捷地使用 RESTful 接口向 IGinX 中写入并查询数据。 + +创建文件 insert.json,并向其中添加如下的内容: + +```json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2 ], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +``` + +使用如下的命令即可从 IGinX 实例一向数据库中插入数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +在插入数据后,还可以使用 RESTful 接口查询刚刚写入的数据。 + +创建文件 query.json,并向其中写入如下的数据: + +```json +{ + "start_absolute" : 1, + "end_relative": { + "value": "5", + "unit": "days" + }, + "time_zone": "Asia/Kabul", + "metrics": [ + { + "name": "archive_file_tracked" + }, + { + "name": "archive_file_search" + } + ] +} +``` + +使用如下的命令从 IGinX 实例二查询数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +命令会返回刚刚插入的数据点信息: + +```json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +``` + +更多接口可以参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf) 。 + +### RPC 接口 + +除了 RESTful 接口外,IGinX 还提供了 RPC +的数据访问接口,具体接口参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf),同时 IGinX +还提供了部分[官方 example](https://github.com/IGinX-THU/IGinX/tree/main/example/src/main/java/cn/edu/tsinghua/iginx/session),展示了 +RPC 接口最常见的用法。 + +下面是一个简短的使用教程。 + +由于目前 IGinX 0.5.1 版本还未发布到 maven 中央仓库,因此如需使用的话,需要手动安装到本地的 maven 仓库。具体安装方式如下: + +```shell +# 下载 IGinX 0.5.1 release 版本源码包 +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# 解压源码包 +$ tar -zxvf v0.5.1.tar.gz +# 进入项目主目录 +$ cd IginX-release-v0.5.1 +# 安装到本地 maven 仓库 +$ mvn clean install -DskipTests +``` + +具体在使用时,只需要在相应的项目的 pom 文件中引入如下的依赖: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +在访问 IGinX 之前,首先需要创建 session,并尝试连接。Session 构造器有 4 个参数,分别是要连接的 IGinX 的 ip,port,以及用于 IGinX 认证的用户名和密码。目前的权鉴系统还在编写中,因此访问后端 +IGinX 的账户名和密码直接填写 root 即可: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +随后可以尝试向 IGinX 中插入数据。由于 IGinX 支持在数据首次写入时创建时间序列,因此并不需要提前调用相关的序列创建接口。IGinX 提供了行式和列式的数据写入接口,以下是列式数据写入接口的使用样例: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values = new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +在完成数据写入后,可以使用数据查询接口查询刚刚写入的数据: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +还可以使用降采样聚合查询接口来查询数据的区间统计值: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + // MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + // FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} + +``` + +最终使用完 session 后需要手动关闭,释放连接: + +```shell +session.closeSession(); +``` + +完整版使用代码可以参考:https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/ParquetSessionExample.java diff --git a/docs/quickStarts_Parquet/IGinXInOneShot-EnglishVersion.md b/docs/quickStarts_Parquet/IGinXInOneShot-EnglishVersion.md new file mode 100644 index 0000000000..d0325d8fb7 --- /dev/null +++ b/docs/quickStarts_Parquet/IGinXInOneShot-EnglishVersion.md @@ -0,0 +1,377 @@ +# IGinX Installation and Use Manual (One-Click Start) + +[TOC] + +IGinX is an open source polystore system. A polystore system provides an integrated data management service over a set of one or more potentially heterogeneous database/storage engines, serving heterogeneous workloads. + +Currently, IGinX directly supports big data service over relational database PostgreSQL, time series databases InfluxDB/IoTDB/TimescaleDB/OpenTSDB, and Parquet data files. + +## Installation + +### Java Installation + +Since ZooKeeper, IGinX and IoTDB are all developed using Java, Java needs to be installed first. If a running environment of JDK >= 1.8 has been installed locally, **skip this step entirely**. + +1. First, visit the [official Java website](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html) to download the JDK package for your current system. + +2. Installation + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # unzip files +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. Set the path + +Edit the ~/.bashrc file and add the following two lines at the end of the file: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +Load the file with the changed configuration (into shell scripts): + +```shell +$ source ~/.bashrc +``` + +4. Use java -version to determine whether JDK installed successfully. + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +If the words above are displayed, it means the installation was successful. + +### IGinX installation + +IGinX is the main part of the system, and the installation package can be downloaded and started with one click: + +```shell +$ cd ~ +$ wget https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-FastDeploy-v0.5.1-bin.tar.gz +$ tar -xzvf IGinX-FastDeploy-v0.5.1-bin.tar.gz +``` + +## Launch + +```shell +$ cd ~ +$ cd IGinX-FastDeploy-v0.5.0-bin +$ chmod +x ./runIginxOn1Host.sh +$ ./runIginxOn1Host.sh +``` + +The following display of words means the IGinX installation was successful: + +```shell +ZooKeeper is started! +IoTDB is started! +IGinX is started! +========================================= +You can now test IGinX. Have fun!~ +========================================= +``` + +If you encounter `file not found` error on Windows OS, try modify file `./runIginxOn1Host.bat` by replacing '/' with '\\' in file paths surrounded by " ". + +## Using IGinX + +### RESTful interface + +After the startup is complete, you can easily use the RESTful interface to write and query data to IGinX. + +Create the file insert.json and add the following to it: + +````json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +```` + +Use the following command to insert data into the database: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +After inserting data, you can also query the data just written using the RESTful interface. + +Create a file query.json and write the following data to it: + +````json +{ +"start_absolute" : 1, +"end_relative": { +"value": "5", +"unit": "days" +}, +"time_zone": "Asia/Kabul", +"metrics": [ +{ +"name": "archive_file_tracked" +}, +{ +"name": "archive_file_search" +} +] +} +```` + +Use the following command to query the data: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +The command will return information about the data point just inserted: + +````json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +```` + +If you see the following information returned, it means you are able to successfully use RESTful interface to write and query data to IGinX. + +For more interfaces, please refer to the official [IGinX manual](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf). + +If you want to use a different interface, there is another option. + +In addition to the RESTful interface, IGinX also provides the RPC data access interface. For this specific interface, please refer to the official [IGinX manual](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf). + +At the same time, IGinX also provides some official examples, showing the most common usage of the RPC interface. + +Below is a short tutorial on how to use it. + +### RPC Interface + +Since the IGinX 0.5.1 version has not been released to the Maven central repository, if you want to use it, you need to manually install it to the local Maven repository. + +The specific installation method is as follows: + +```shell +# download iginx 0.4 release version source code package +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# Unzip the source package +$ tar -zxvf v0.5.1.tar.gz +# go to the main project's directory +$ cd IGinX-release-v0.5.1 +# Install to local Maven repository +$ mvn clean install -DskipTests +``` + +Specifically, when using it, you only need to introduce the following dependencies in the pom file of the corresponding project: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +Before accessing IGinX, you first need to create a session and try to connect. The Session constructor has 4 parameters, which are the ip and port IGinX will to connect to, and the username and password for IGinX authentication. The current authentication system is still being written, so the account name and password to access the backend IGinX can directly fill in root: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +You can then try to insert data into IGinX. Since IGinX supports the creation of time-series when data is written for the first time, there is no need to call the relevant series creation interface in advance. IGinX provides row-style and column-style data writing interfaces. + +The following is an example of using the column-style data writing interface: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values = new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +After completing the data writing, you can use the data query interface to query the data just written: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +You can also use the downsampling aggregation query interface to query the interval statistics of the data: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + // MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + // FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} +``` + +After the session is completed, you need to manually close and release your connection from your terminal/backend: + +```shell +session.closeSession(); +``` + +For the full version of the code, please refer to: https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/IoTDBSessionExample.java diff --git a/docs/quickStarts_Parquet/IGinXInOneShot.md b/docs/quickStarts_Parquet/IGinXInOneShot.md new file mode 100644 index 0000000000..9e40cea273 --- /dev/null +++ b/docs/quickStarts_Parquet/IGinXInOneShot.md @@ -0,0 +1,370 @@ +# IGinX 安装使用教程(一键启动) + +[TOC] + +IGinX是清华大学“清华数为”大数据软件栈的“大数据总线”,面向解决用户在大数据场景下“管数烦、用数难”的问题而研发。它的特色包括“负载均衡弹性好、异构关联全局化、数据使用不搬家、Python集成便利大、SQL输入实时查”。 + +IGinX支持用户一体化管理已存储在不同系统中的数据资产,也支持用户统一读写、查询、关联特定系统中的数据。目前,IGinX支持一体化管理包括关系数据库PostgreSQL、时序数据库InfluxDB/IotDB/TimescaleDB/OpenTSDB、大数据文件Parquet集合等存储的数据。 + +## 安装 + +### Java 安装 + +由于 ZooKeeper、IGinX 以及 IoTDB 都是使用 Java 开发的,因此首先需要安装 Java。如果本地已经安装了 JDK>=1.8 的运行环境,**直接跳过此步骤**。 + +1. 首先访问 [Java官方网站](https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html)下载适用于当前系统的 JDK 包。 +2. 安装 + +```shell +$ cd ~/Downloads +$ tar -zxf jdk-8u181-linux-x64.gz # 解压文件 +$ mkdir /opt/jdk +$ mv jdk-1.8.0_181 /opt/jdk/ +``` + +3. 设置路径 + +编辑 ~/.bashrc 文件,在文件末端加入如下的两行: + +```shell +export JAVA_HOME = /usr/jdk/jdk-1.8.0_181 +export PATH=$PATH:$JAVA_HOME/bin +``` + +加载更改后的配置文件: + +```shell +$ source ~/.bashrc +``` + +4. 使用 java -version 判断 JDK 是否安装成功 + +```shell +$ java -version +java version "1.8.0_181" +Java(TM) SE Runtime Environment (build 1.8.0_181-b13) +Java HotSpot(TM) 64-Bit Server VM (build 25.181-b13, mixed mode) +``` + +如果显示出如上的字样,则表示安装成功。 + +### IGinX 安装 + +IGinX 为系统的主体部分,通过一键启动安装包 + +```shell +$ cd ~ +$ wget https://github.com/IGinX-THU/IGinX/releases/download/release%2Fv0.5.1/IGinX-FastDeploy-v0.5.1-bin.tar.gz +$ tar -xzvf IGinX-FastDeploy-v0.5.1-bin.tar.gz +``` + +## 启动 + +```shell +$ cd ~ +$ cd IGinX-FastDeploy-v0.5.0-bin +$ chmod +x ./runIginxOn1Host.sh +$ ./runIginxOn1Host.sh +``` + +显示出如下字样,表示 IGinX 启动成功: + +```shell +ZooKeeper is started! +IGinX is started! +===================================== +You can now test IGinX. Have fun!~ +===================================== +``` + +若在Windows系统环境下出现找不到文件路径问题,则需要使用文本编辑器修改根目录下的`runIginxOn1Host.bat`,将双引号中文件路径中的斜杠(/)改为反斜杠(\) + +## 访问 IGinX + +### RESTful 接口 + +启动完成后,可以便捷地使用 RESTful 接口向 IGinX 中写入并查询数据。 + +创建文件 insert.json,并向其中添加如下的内容: + +```json +[ + { + "name": "archive_file_tracked", + "datapoints": [ + [1359788400000, 123.3], + [1359788300000, 13.2 ], + [1359788410000, 23.1 ] + ], + "tags": { + "host": "server1", + "data_center": "DC1" + } + }, + { + "name": "archive_file_search", + "timestamp": 1359786400000, + "value": 321, + "tags": { + "host": "server2" + } + } +] +``` + +使用如下的命令即可向数据库中插入数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @insert.json http://127.0.0.1:6666/api/v1/datapoints +``` + +在插入数据后,还可以使用 RESTful 接口查询刚刚写入的数据。 + +创建文件 query.json,并向其中写入如下的数据: + +```json +{ + "start_absolute" : 1, + "end_relative": { + "value": "5", + "unit": "days" + }, + "time_zone": "Asia/Kabul", + "metrics": [ + { + "name": "archive_file_tracked" + }, + { + "name": "archive_file_search" + } + ] +} +``` + +使用如下的命令查询数据: + +```shell +$ curl -XPOST -H'Content-Type: application/json' -d @query.json http://127.0.0.1:6666/api/v1/datapoints/query +``` + +命令会返回刚刚插入的数据点信息: + +```json +{ + "queries": [ + { + "sample_size": 3, + "results": [ + { + "name": "archive_file_tracked", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "data_center": [ + "DC1" + ], + "host": [ + "server1" + ] + }, + "values": [ + [ + 1359788300000, + 13.2 + ], + [ + 1359788400000, + 123.3 + ], + [ + 1359788410000, + 23.1 + ] + ] + } + ] + }, + { + "sample_size": 1, + "results": [ + { + "name": "archive_file_search", + "group_by": [ + { + "name": "type", + "type": "number" + } + ], + "tags": { + "host": [ + "server2" + ] + }, + "values": [ + [ + 1359786400000, + 321.0 + ] + ] + } + ] + } + ] +} +``` + +更多接口可以参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf) 。 + +### RPC 接口 + +除了 RESTful 接口外,IGinX 还提供了 RPC +的数据访问接口,具体接口参考 [IGinX 官方手册](https://github.com/IGinX-THU/IGinX/blob/main/docs/pdf/userManualC.pdf),同时 IGinX +还提供了部分[官方 example](https://github.com/IGinX-THU/IGinX/tree/main/example/src/main/java/cn/edu/tsinghua/iginx/session),展示了 +RPC 接口最常见的用法。 + +下面是一个简短的使用教程。 + +由于目前 IGinX 0.5.1 版本还未发布到 maven 中央仓库,因此如需使用的话,需要手动安装到本地的 maven 仓库。具体安装方式如下: + +```shell +# 下载 IGinX 0.5.1 release 版本源码包 +$ wget https://github.com/IGinX-THU/IGinX/archive/refs/tags/release/v0.5.1.tar.gz +# 解压源码包 +$ tar -zxvf v0.5.1.tar.gz +# 进入项目主目录 +$ cd IGinX-release-v0.5.1 +# 安装到本地 maven 仓库 +$ mvn clean install -DskipTests +``` + +具体在使用时,只需要在相应的项目的 pom 文件中引入如下的依赖: + +```xml + + cn.edu.tsinghua + iginx-core + 0.6.0-SNAPSHOT + +``` + +在访问 IGinX 之前,首先需要创建 session,并尝试连接。Session 构造器有 4 个参数,分别是要连接的 IGinX 的 ip,port,以及用于 IGinX 认证的用户名和密码。目前的权鉴系统还在编写中,因此访问后端 +IGinX 的账户名和密码直接填写 root 即可: + +```Java +Session session = new Session("127.0.0.1", 6888, "root", "root"); +session.openSession(); +``` + +随后可以尝试向 IGinX 中插入数据。由于 IGinX 支持在数据首次写入时创建时间序列,因此并不需要提前调用相关的序列创建接口。IGinX 提供了行式和列式的数据写入接口,以下是列式数据写入接口的使用样例: + +```java +private static void insertColumnRecords(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + int size = 1500; + long[] timestamps = new long[size]; + for (long i = 0; i < size; i++) { + timestamps[(int) i] = i; + } + + Object[] valuesList = new Object[4]; + for (long i = 0; i < 4; i++) { + Object[] values = new Object[size]; + for (long j = 0; j < size; j++) { + if (i < 2) { + values[(int) j] = i + j; + } else { + values[(int) j] = RandomStringUtils.randomAlphanumeric(10).getBytes(); + } + } + valuesList[(int) i] = values; + } + + List dataTypeList = new ArrayList<>(); + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.LONG); + } + for (int i = 0; i < 2; i++) { + dataTypeList.add(DataType.BINARY); + } + + session.insertColumnRecords(paths, timestamps, valuesList, dataTypeList, null); +} +``` + +在完成数据写入后,可以使用数据查询接口查询刚刚写入的数据: + +```java +private static void queryData(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + paths.add("sg.d3.s3"); + paths.add("sg.d4.s4"); + + long startTime = 100L; + long endTime = 200L; + + SessionQueryDataSet dataSet = session.queryData(paths, startTime, endTime); + dataSet.print(); +} +``` + +还可以使用降采样聚合查询接口来查询数据的区间统计值: + +```java +private static void downsampleQuery(Session session) throws SessionException, ExecutionException { + List paths = new ArrayList<>(); + paths.add("sg.d1.s1"); + paths.add("sg.d2.s2"); + + long startTime = 100L; + long endTime = 1101L; + + // MAX + SessionQueryDataSet dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MAX, 100); + dataSet.print(); + + // MIN + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.MIN, ROW_INTERVAL * 100); + dataSet.print(); + + // FIRST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.FIRST, ROW_INTERVAL * 100); + dataSet.print(); + + // LAST + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.LAST, ROW_INTERVAL * 100); + dataSet.print(); + + // COUNT + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.COUNT, ROW_INTERVAL * 100); + dataSet.print(); + + // SUM + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.SUM, ROW_INTERVAL * 100); + dataSet.print(); + + // AVG + dataSet = session.downsampleQuery(paths, startTime, endTime, AggregateType.AVG, ROW_INTERVAL * 100); + dataSet.print(); + +} + +``` + +最终使用完 session 后需要手动关闭,释放连接: + +```shell +session.closeSession(); +``` + +完整版使用代码可以参考:https://github.com/IGinX-THU/IGinX/blob/main/example/src/main/java/cn/edu/tsinghua/iginx/session/IoTDBSessionExample.java

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