From 9c167972ce1d61e6f4112cd8119c30a412602e42 Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Tue, 15 Oct 2024 19:06:53 +0200 Subject: [PATCH 01/21] update screenshots --- docs/discover/get-started-discover.asciidoc | 321 +++++++++++++++++++ docs/discover/images/discover-data-view.png | Bin 74234 -> 76962 bytes docs/discover/images/hello-field.png | Bin 414274 -> 701748 bytes docs/user/discover.asciidoc | 325 +------------------- docs/user/images/hello-field.png | Bin 0 -> 701748 bytes 5 files changed, 323 insertions(+), 323 deletions(-) create mode 100644 docs/discover/get-started-discover.asciidoc create mode 100644 docs/user/images/hello-field.png diff --git a/docs/discover/get-started-discover.asciidoc b/docs/discover/get-started-discover.asciidoc new file mode 100644 index 0000000000000..5f1086af9bfb9 --- /dev/null +++ b/docs/discover/get-started-discover.asciidoc @@ -0,0 +1,321 @@ +== Get started with Discover + +This tutorial shows you how to use *Discover* to search large amounts of +data and understand what’s going on at any given time. + +You’ll learn to: + +- **Select** data for your exploration, set a time range for that data, +search it with the {kib} Query Language, and filter the results. +- **Explore** the details of your data, view individual documents, and create tables +that summarize the contents of the data. +- **Present** your findings in a visualization. + +At the end of this tutorial, you’ll be ready to start exploring with your own +data in *Discover*. + +*Prerequisites:* + +- If you don’t already have {kib}, set it up with https://www.elastic.co/cloud/elasticsearch-service/signup?baymax=docs-body&elektra=docs[our free trial]. +- You must have data in {es}. This tutorial uses the +<>, but you can use your own data. +- You should have an understanding of {ref}/documents-indices.html[{es} documents and indices] +and <>. + + +[float] +[[find-the-data-you-want-to-use]] +=== Find your data + +Tell {kib} where to find the data you want to explore, and then specify the time range in which to view that data. + +. Open the main menu, and select **Discover**. + +. Select the data you want to work with. ++ +{kib} uses a <> to tell it where to find +your {es} data. +To view the ecommerce sample data, open the {data-source} menu, and then select **Kibana Sample Data Ecommerce**. ++ +[role="screenshot"] +image::images/discover-data-view.png[How to set the {data-source} in Discover, width="40%"] + ++ +To create a data view for your own data, +click *Create a data view*. +For details, refer to <> + +. Adjust the <> to view data for the *Last 7 days*. ++ +The range selection is based on the default time field in your data. +If you are using the sample data, this value was set when you added the data. +If you are using your own data, and it does not have a time field, the range selection is not available. + +. To view the count of documents for a given time in the specified range, +click and drag the mouse over the chart. + +[float] +[[explore-fields-in-your-data]] +=== Explore the fields in your data + +**Discover** includes a table +that shows all the documents that match your search. +By default, the document table includes a column for the time field and a column that lists all other fields in the document. +You’ll modify the document table to display your fields of interest. + +. In the sidebar, enter `ma` in the search field to find the `manufacturer` field. ++ +[role="screenshot"] +image:images/discover-sidebar-available-fields.png[Fields list that displays the top five search results, width=50%] ++ +NOTE: You can use wildcards in field searches. For example, `goe*dest` finds `geo.dest` and `geo.src.dest`. + +. In the *Available fields* list, click `manufacturer` to view its most popular values. ++ +**Discover** shows the top 10 values and the number of records used to calculate those values. + +. Click image:images/add-icon.png[Add icon] to toggle the field into the document table. +You can also drag the field from the *Available fields* list into the document table. ++ +[role="screenshot"] +image::images/discover-add-icon.png[How to add a field as a column in the table, width="50%"] + +. Find the `customer_first_name` and `customer_last_name` fields and add +them to the document table. Your table should look similar to this: ++ +[role="screenshot"] +image:images/document-table.png[Document table with fields for manufacturer, customer_first_name, and customer_last_name] + + +. Optionally try out these actions: ++ +* To rearrange the table columns, click a +column header, and then select *Move left* or *Move right*. ++ +* To copy the name or values in a column to the clipboard, click the column header and select the desired **Copy** option. ++ +* To view more of the document table, +click +image:images/chart-icon.png[icon button for opening Show/Hide chart menu, width=24px] +to open the *Chart options* menu, +and then select *Hide chart*. ++ +* For keyboard shortcuts on the document table, click +image:images/keyboard-shortcut-icon.png[icon button for opening list of keyboard shortcuts, width=24px]. ++ +* To set the row height to one or more lines, or automatically +adjust the height to fit the contents, click +image:images/row-height-icon.png[icon to open the Row height pop-up, width=24px]. ++ +* To toggle the table in and out of fullscreen mode, click the fullscreen icon +image:images/fullscreen-icon.png[icon to display the document table in fullscreen mode]. + + + + + + +[float] +[[add-field-in-discover]] +=== Add a field to your {data-source} + +What happens if you forgot to define an important value as a separate field? Or, what if you +want to combine two fields and treat them as one? This is where {ref}/runtime.html[runtime fields] come into play. +You can add a runtime field to your {data-source} from inside of **Discover**, +and then use that field for analysis and visualizations, +the same way you do with other fields. + +. In the sidebar, click *Add a field*. + +. In the *Create field* form, enter `hello` for the name. + +. Turn on *Set value*. + +. Define the script using the Painless scripting language. Runtime fields require an `emit()`. ++ +```ts +emit("Hello World!"); +``` + +. Click *Save*. + +. In the sidebar, search for the *hello* field, and then add it to the document table. ++ +[role="screenshot"] +image:images/hello-field.png[hello field in the document tables] + +. Create a second field named `customer` that combines customer last name and first initial. ++ +```ts +String str = doc['customer_first_name.keyword'].value; +char ch1 = str.charAt(0); +emit(doc['customer_last_name.keyword'].value + ", " + ch1); +``` +. Remove `customer_first_name` and `customer_last_name` from the document table, and then add `customer`. ++ +[role="screenshot"] +image:images/customer.png[Customer last name, first initial in the document table] ++ +For more information on adding fields and Painless scripting language examples, +refer to <>. + + +[float] +[[search-in-discover]] +=== Search your data + +One of the unique capabilities of **Discover** is the ability to combine +free text search with filtering based on structured data. +To search all fields, enter a simple string in the query bar. + +[role="screenshot"] +image:images/discover-search-field.png[Search field in Discover] + + +To search particular fields and +build more complex queries, use the <>. +As you type, KQL prompts you with the fields you can search and the operators +you can use to build a structured query. + +Search the ecommerce data for documents where the country matches US: + +. Enter `g`, and then select *geoip.country_iso_code*. +. Select *:* for equals some value and *US*, and then click the refresh button or press the Enter key. +. For a more complex search, try: ++ +```ts +geoip.country_iso_code : US and products.taxless_price >= 75 +``` + +[float] +[[filter-in-discover]] +=== Filter your data + +Whereas the query defines the set of documents you are interested in, +filters enable you to zero in on subsets of those documents. +You can filter results to include or exclude specific fields, filter for a value in a range, +and more. + +Exclude documents where day of week is not Wednesday: + +. Click image:images/add-icon.png[Add icon] next to the query bar. +. In the *Add filter* pop-up, set the field to *day_of_week*, the operator to *is not*, +and the value to *Wednesday*. ++ +[role="screenshot"] +image:images/discover-add-filter.png[Add filter dialog in Discover] + +. Click **Add filter**. +. Continue your exploration by adding more filters. +. To remove a filter, +click the close icon (x) next to its name in the filter bar. + +[float] +[[look-inside-a-document]] +=== Look inside a document + +Dive into an individual document to view its fields and the documents +that occurred before and after it. + +. In the document table, click the expand icon +image:images/expand-icon-2.png[double arrow icon to open a flyout with the document details] +to show document details. ++ +[role="screenshot"] +image:images/document-table-expanded.png[Table view with document expanded] + +. Scan through the fields and their values. If you find a field of interest, +hover your mouse over the *Actions* column for filters and other options. + +. To create a view of the document that you can bookmark and share, click **Single document**. + +. To view documents that occurred before or after the event you are looking at, click +**Surrounding documents**. + + + +[float] +[[save-your-search]] +=== Save your search for later use + +Save your search so you can use it later, generate a CSV report, or use it to create visualizations, dashboards, and Canvas workpads. +Saving a search saves the query text, filters, +and current view of *Discover*, including the columns selected in +the document table, the sort order, and the {data-source}. + +. In the toolbar, click **Save**. + +. Give your search a title. + +. Optionally store <> and the time range with the search. + +. Click **Save**. + +[float] +=== Visualize your findings +If a field can be {ref}/search-aggregations.html[aggregated], you can quickly +visualize it from **Discover**. + +. In the sidebar, find and then click `day_of_week`. ++ +[role="screenshot"] +image:images/discover-day-of-week.png[Top values for the day_of_week field, plus Visualize button, width=50%] + + +. In the popup, click **Visualize**. ++ +{kib} creates a visualization best suited for this field. + +. From the *Available fields* list, drag and drop `manufacturer.keyword` onto the workspace. ++ +[role="screenshot"] +image:images/discover-from-visualize.png[Visualization that opens from Discover based on your data] + +. Save your visualization for use on a dashboard. ++ +For geo point fields (image:images/geoip-icon.png[Geo point field icon, width=20px]), +if you click **Visualize**, +your data appears in a map. ++ +[role="screenshot"] +image:images/discover-maps.png[Map containing documents] + +[float] +[[share-your-findings]] +=== Share your findings + +To share your findings with a larger audience, click *Share* in the *Discover* toolbar. +For detailed information about the sharing options, refer to <>. + +[float] +[[alert-from-Discover]] +=== Generate alerts + +From *Discover*, you can create a rule to periodically +check when data goes above or below a certain threshold within a given time interval. + +. Ensure that your data view, +query, and filters fetch the data for which you want an alert. +. In the toolbar, click *Alerts > Create search threshold rule*. ++ +The *Create rule* form is pre-filled with the latest query sent to {es}. +. <> and <>. + +. Click *Save*. + +For more about this and other rules provided in {alert-features}, go to <>. + + +[float] +=== What’s next? + +* <>. + +* <>. + +* <> to better meet your needs. + +[float] +=== Troubleshooting + +* {blog-ref}troubleshooting-guide-common-issues-kibana-discover-load[Learn how to resolve common issues with Discover.] \ No newline at end of file diff --git a/docs/discover/images/discover-data-view.png b/docs/discover/images/discover-data-view.png index 869fc9b9288112c9ef247786e543a6129a99eff2..e6c3a9aa832d5ee64aaa742d273a710c23c3097c 100644 GIT binary patch literal 76962 zcmZU*1z1&0*FQ{3h@^lZodVJ+aA>4ErMpX-LnBBd-QC^YARyf(-5mml4!@1J&-2{x z|2x;Unb~`0&6-(j*5vvTEH5ke3K<_63JU6#gt&+z6ch{?cvKNz0AI#>Xa#`)+CfoF z2&#OPU>|siH&&N0k&%I-1>%TMaM1Wr@XuL*hY$Mgf8!sa-$B9t`3?gG6=)6x_cxC$ z5I+ARf#;d#pAatkD-;6oh6z0Wnb3bJf%Ht6|4_n!GhzQ5R|WDx2`ULoNC2Udp}n!O zjf0u3<7R2cSKtGZo%kmQC@37t=LcFsk>VG?Yt~#@-BDden%mIUnnB;l*1(v-)!Od4 z94KB_ZXjxH?5I!TYHelX!0iem`;&tkh(CX3BqRBg#nBQ(rY<8-B5Z4KOv1sy#K1(x 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shows you how to use *Discover* to search large amounts of -data and understand what’s going on at any given time. - -You’ll learn to: - -- **Select** data for your exploration, set a time range for that data, -search it with the {kib} Query Language, and filter the results. -- **Explore** the details of your data, view individual documents, and create tables -that summarize the contents of the data. -- **Present** your findings in a visualization. - -At the end of this tutorial, you’ll be ready to start exploring with your own -data in *Discover*. - -*Prerequisites:* - -- If you don’t already have {kib}, set it up with https://www.elastic.co/cloud/elasticsearch-service/signup?baymax=docs-body&elektra=docs[our free trial]. -- You must have data in {es}. This tutorial uses the -<>, but you can use your own data. -- You should have an understanding of {ref}/documents-indices.html[{es} documents and indices] -and <>. - - -[float] -[[find-the-data-you-want-to-use]] -=== Find your data - -Tell {kib} where to find the data you want to explore, and then specify the time range in which to view that data. - -. Open the main menu, and select **Discover**. - -. Select the data you want to work with. -+ -{kib} uses a <> to tell it where to find -your {es} data. -To view the ecommerce sample data, open the {data-source} menu, and then select **Kibana Sample Data Ecommerce**. -+ -[role="screenshot"] -image::images/discover-data-view.png[How to set the {data-source} in Discover, width="40%"] - -+ -To create a data view for your own data, -click *Create a data view*. -For details, refer to <> - -. Adjust the <> to view data for the *Last 7 days*. -+ -The range selection is based on the default time field in your data. -If you are using the sample data, this value was set when you added the data. -If you are using your own data, and it does not have a time field, the range selection is not available. - -. To view the count of documents for a given time in the specified range, -click and drag the mouse over the chart. - -[float] -[[explore-fields-in-your-data]] -=== Explore the fields in your data - -**Discover** includes a table -that shows all the documents that match your search. -By default, the document table includes a column for the time field and a column that lists all other fields in the document. -You’ll modify the document table to display your fields of interest. - -. In the sidebar, enter `ma` in the search field to find the `manufacturer` field. -+ -[role="screenshot"] -image:images/discover-sidebar-available-fields.png[Fields list that displays the top five search results, width=50%] -+ -NOTE: You can use wildcards in field searches. For example, `goe*dest` finds `geo.dest` and `geo.src.dest`. - -. In the *Available fields* list, click `manufacturer` to view its most popular values. -+ -**Discover** shows the top 10 values and the number of records used to calculate those values. - -. Click image:images/add-icon.png[Add icon] to toggle the field into the document table. -You can also drag the field from the *Available fields* list into the document table. -+ -[role="screenshot"] -image::images/discover-add-icon.png[How to add a field as a column in the table, width="50%"] - -. Find the `customer_first_name` and `customer_last_name` fields and add -them to the document table. Your table should look similar to this: -+ -[role="screenshot"] -image:images/document-table.png[Document table with fields for manufacturer, customer_first_name, and customer_last_name] - - -. Optionally try out these actions: -+ -* To rearrange the table columns, click a -column header, and then select *Move left* or *Move right*. -+ -* To copy the name or values in a column to the clipboard, click the column header and select the desired **Copy** option. -+ -* To view more of the document table, -click -image:images/chart-icon.png[icon button for opening Show/Hide chart menu, width=24px] -to open the *Chart options* menu, -and then select *Hide chart*. -+ -* For keyboard shortcuts on the document table, click -image:images/keyboard-shortcut-icon.png[icon button for opening list of keyboard shortcuts, width=24px]. -+ -* To set the row height to one or more lines, or automatically -adjust the height to fit the contents, click -image:images/row-height-icon.png[icon to open the Row height pop-up, width=24px]. -+ -* To toggle the table in and out of fullscreen mode, click the fullscreen icon -image:images/fullscreen-icon.png[icon to display the document table in fullscreen mode]. - - - - - - -[float] -[[add-field-in-discover]] -=== Add a field to your {data-source} - -What happens if you forgot to define an important value as a separate field? Or, what if you -want to combine two fields and treat them as one? This is where {ref}/runtime.html[runtime fields] come into play. -You can add a runtime field to your {data-source} from inside of **Discover**, -and then use that field for analysis and visualizations, -the same way you do with other fields. - -. In the sidebar, click *Add a field*. - -. In the *Create field* form, enter `hello` for the name. - -. Turn on *Set value*. - -. Define the script using the Painless scripting language. Runtime fields require an `emit()`. -+ -```ts -emit("Hello World!"); -``` - -. Click *Save*. - -. In the sidebar, search for the *hello* field, and then add it to the document table. -+ -[role="screenshot"] -image:images/hello-field.png[hello field in the document tables] - -. Create a second field named `customer` that combines customer last name and first initial. -+ -```ts -String str = doc['customer_first_name.keyword'].value; -char ch1 = str.charAt(0); -emit(doc['customer_last_name.keyword'].value + ", " + ch1); -``` -. Remove `customer_first_name` and `customer_last_name` from the document table, and then add `customer`. -+ -[role="screenshot"] -image:images/customer.png[Customer last name, first initial in the document table] -+ -For more information on adding fields and Painless scripting language examples, -refer to <>. - - -[float] -[[search-in-discover]] -=== Search your data - -One of the unique capabilities of **Discover** is the ability to combine -free text search with filtering based on structured data. -To search all fields, enter a simple string in the query bar. - -[role="screenshot"] -image:images/discover-search-field.png[Search field in Discover] - - -To search particular fields and -build more complex queries, use the <>. -As you type, KQL prompts you with the fields you can search and the operators -you can use to build a structured query. - -Search the ecommerce data for documents where the country matches US: - -. Enter `g`, and then select *geoip.country_iso_code*. -. Select *:* for equals some value and *US*, and then click the refresh button or press the Enter key. -. For a more complex search, try: -+ -```ts -geoip.country_iso_code : US and products.taxless_price >= 75 -``` - -[float] -[[filter-in-discover]] -=== Filter your data - -Whereas the query defines the set of documents you are interested in, -filters enable you to zero in on subsets of those documents. -You can filter results to include or exclude specific fields, filter for a value in a range, -and more. - -Exclude documents where day of week is not Wednesday: - -. Click image:images/add-icon.png[Add icon] next to the query bar. -. In the *Add filter* pop-up, set the field to *day_of_week*, the operator to *is not*, -and the value to *Wednesday*. -+ -[role="screenshot"] -image:images/discover-add-filter.png[Add filter dialog in Discover] - -. Click **Add filter**. -. Continue your exploration by adding more filters. -. To remove a filter, -click the close icon (x) next to its name in the filter bar. - -[float] -[[look-inside-a-document]] -=== Look inside a document - -Dive into an individual document to view its fields and the documents -that occurred before and after it. - -. In the document table, click the expand icon -image:images/expand-icon-2.png[double arrow icon to open a flyout with the document details] -to show document details. -+ -[role="screenshot"] -image:images/document-table-expanded.png[Table view with document expanded] - -. Scan through the fields and their values. If you find a field of interest, -hover your mouse over the *Actions* column for filters and other options. - -. To create a view of the document that you can bookmark and share, click **Single document**. - -. To view documents that occurred before or after the event you are looking at, click -**Surrounding documents**. - - - -[float] -[[save-your-search]] -=== Save your search for later use - -Save your search so you can use it later, generate a CSV report, or use it to create visualizations, dashboards, and Canvas workpads. -Saving a search saves the query text, filters, -and current view of *Discover*, including the columns selected in -the document table, the sort order, and the {data-source}. - -. In the toolbar, click **Save**. - -. Give your search a title. - -. Optionally store <> and the time range with the search. - -. Click **Save**. - -[float] -=== Visualize your findings -If a field can be {ref}/search-aggregations.html[aggregated], you can quickly -visualize it from **Discover**. - -. In the sidebar, find and then click `day_of_week`. -+ -[role="screenshot"] -image:images/discover-day-of-week.png[Top values for the day_of_week field, plus Visualize button, width=50%] - - -. In the popup, click **Visualize**. -+ -{kib} creates a visualization best suited for this field. - -. From the *Available fields* list, drag and drop `manufacturer.keyword` onto the workspace. -+ -[role="screenshot"] -image:images/discover-from-visualize.png[Visualization that opens from Discover based on your data] - -. Save your visualization for use on a dashboard. -+ -For geo point fields (image:images/geoip-icon.png[Geo point field icon, width=20px]), -if you click **Visualize**, -your data appears in a map. -+ -[role="screenshot"] -image:images/discover-maps.png[Map containing documents] - -[float] -[[share-your-findings]] -=== Share your findings - -To share your findings with a larger audience, click *Share* in the *Discover* toolbar. -For detailed information about the sharing options, refer to <>. - -[float] -[[alert-from-Discover]] -=== Generate alerts - -From *Discover*, you can create a rule to periodically -check when data goes above or below a certain threshold within a given time interval. - -. Ensure that your data view, -query, and filters fetch the data for which you want an alert. -. In the toolbar, click *Alerts > Create search threshold rule*. -+ -The *Create rule* form is pre-filled with the latest query sent to {es}. -. <> and <>. - -. Click *Save*. - -For more about this and other rules provided in {alert-features}, go to <>. - - -[float] -=== What’s next? - -* <>. - -* <>. - -* <> to better meet your needs. - -[float] -=== Troubleshooting - -* {blog-ref}troubleshooting-guide-common-issues-kibana-discover-load[Learn how to resolve common issues with Discover.] +-- +include::{kibana-root}/docs/discover/get-started-discover.asciidoc[] --- include::{kibana-root}/docs/discover/document-explorer.asciidoc[] include::{kibana-root}/docs/discover/search-for-relevance.asciidoc[] diff --git a/docs/user/images/hello-field.png b/docs/user/images/hello-field.png new file mode 100644 index 0000000000000000000000000000000000000000..8aee22bf2a847f4c54747ebcf949ad8354d4ab6f GIT binary patch literal 701748 zcmeFZby!sE-Y_g7ARU5AcM6EW&@CX{AdMp3DGdtJozfjcOLs`ObaxLWIn=#kqdO^~9zBnB!W>Z3=GFr?nTQGWCYedf_4WF!wT&!###(Bi=!V5I5j2z#SyI5ITJMg*)Q2yf$UZDMOo0XFMAFnuC2vEM0 zQzRF&u{RXL zjfaPa_0?M=zlG*^!_1 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zmJ*}vxtq})jEJD(s!=rTMnH=Yr-^o%a)fh4)*(pn0;jlyX#{c-ULLq9#hW+z z7B1!dd#7@~pG`*XGQ+?b?h1D^E4)E{&*iz|to;=QR=GX=j2-%f{U)9h^`>zL^`-u>@x)-i6llSWq_E~N?T-pkHw|i|k5L3)ay8$uTkgJi z)&I%pkDw;pSNcvp4zMOUhT|t2e4akXX{F!N%SBIPSB$Z z`k(jFfBEa#NSwa6jynA83loZ3(E0IKu8C2*?PuEluYnn#Iie-)t`hYo@ia~QJ8_uI ziO>-KZ|Bi}`Q-oeUu;;SivhH{Ke7UI-QMSX(hK}>w_NY2HJzvam$dkpdZ6BinR!LN zXv`cg1qkr(DySqcjPFA=?*6u2`28^czD57uSpV&n63Gj5Li?d-0|x)To#%l8eXDcA zwHtqyrT_czy?(zX*!W)_A<-(ph~P0%{P6$F59ohHd`_ICE9jmm!|x0D1{4r3Z2SLM zE{U%X)IBCBCWXI-sDlf=hx_E$PK>hu&<5d!oeHp!67ql_RQy^xXErdA-9Xu)^mozu zzb@&2|ARpj*h<|sb4tITpX>L)4JZ0p{;w7IZ)^0w{(9jWcq5)0_qE?jcmoG;%S)@p zyY~K}6~T)lP4N9jy{!(6eqC<#BKWAGKFe|Zeq#$1TqZWf z Date: Thu, 17 Oct 2024 09:47:24 +0200 Subject: [PATCH 02/21] update --- docs/discover/get-started-discover.asciidoc | 32 ++++++++++----------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/docs/discover/get-started-discover.asciidoc b/docs/discover/get-started-discover.asciidoc index 5f1086af9bfb9..997ae394d828a 100644 --- a/docs/discover/get-started-discover.asciidoc +++ b/docs/discover/get-started-discover.asciidoc @@ -1,14 +1,9 @@ == Get started with Discover -This tutorial shows you how to use *Discover* to search large amounts of -data and understand what’s going on at any given time. +Learn how to use *Discover* to: -You’ll learn to: - -- **Select** data for your exploration, set a time range for that data, -search it with the {kib} Query Language, and filter the results. -- **Explore** the details of your data, view individual documents, and create tables -that summarize the contents of the data. +- **Select** and **filter** your {es} data. +- **Explore** the fields and content of that data in depth. - **Present** your findings in a visualization. At the end of this tutorial, you’ll be ready to start exploring with your own @@ -16,8 +11,8 @@ data in *Discover*. *Prerequisites:* -- If you don’t already have {kib}, set it up with https://www.elastic.co/cloud/elasticsearch-service/signup?baymax=docs-body&elektra=docs[our free trial]. -- You must have data in {es}. This tutorial uses the +- If you don’t already have {kib}, https://www.elastic.co/cloud/elasticsearch-service/signup?baymax=docs-body&elektra=docs[start a free trial] on Elastic Cloud. +- You must have data in {es}. Examples on this page use the <>, but you can use your own data. - You should have an understanding of {ref}/documents-indices.html[{es} documents and indices] and <>. @@ -29,7 +24,7 @@ and <>. Tell {kib} where to find the data you want to explore, and then specify the time range in which to view that data. -. Open the main menu, and select **Discover**. +. Find **Discover** in the navigation menu or by using the <>. . Select the data you want to work with. + @@ -49,7 +44,7 @@ For details, refer to <> + The range selection is based on the default time field in your data. If you are using the sample data, this value was set when you added the data. -If you are using your own data, and it does not have a time field, the range selection is not available. +If you are using your own data, and it does not have a time field, the range selection is not available. . To view the count of documents for a given time in the specified range, click and drag the mouse over the chart. @@ -58,17 +53,22 @@ click and drag the mouse over the chart. [[explore-fields-in-your-data]] === Explore the fields in your data -**Discover** includes a table +**Discover** provides utilities designed to help you make sense of your data: + +* a list of all the fields extracted from the data. +* a table that shows all the documents that match your search. By default, the document table includes a column for the time field and a column that lists all other fields in the document. -You’ll modify the document table to display your fields of interest. +You can modify the document table to display your fields of interest. -. In the sidebar, enter `ma` in the search field to find the `manufacturer` field. +. In the sidebar, check the available fields. It's very common to have hundreds of fields. Use the search at the top of that sidebar to look for specific terms in the field names. ++ +In this example, we've entered `ma` in the search field to find the `manufacturer` field. + [role="screenshot"] image:images/discover-sidebar-available-fields.png[Fields list that displays the top five search results, width=50%] + -NOTE: You can use wildcards in field searches. For example, `goe*dest` finds `geo.dest` and `geo.src.dest`. +TIP: You can use wildcards in field searches. For example, `goe*dest` finds `geo.dest` and `geo.src.dest`. . In the *Available fields* list, click `manufacturer` to view its most popular values. + From 3ad8bfa84c8b2d01f3932935627b12cc0755a9e7 Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Tue, 22 Oct 2024 18:17:02 +0200 Subject: [PATCH 03/21] use sample as examples for learning rather than just going through with it --- docs/discover/get-started-discover.asciidoc | 86 ++++++-------------- docs/discover/images/document-table.png | Bin 385758 -> 438403 bytes 2 files changed, 27 insertions(+), 59 deletions(-) diff --git a/docs/discover/get-started-discover.asciidoc b/docs/discover/get-started-discover.asciidoc index 997ae394d828a..28c4d29426206 100644 --- a/docs/discover/get-started-discover.asciidoc +++ b/docs/discover/get-started-discover.asciidoc @@ -6,9 +6,6 @@ Learn how to use *Discover* to: - **Explore** the fields and content of that data in depth. - **Present** your findings in a visualization. -At the end of this tutorial, you’ll be ready to start exploring with your own -data in *Discover*. - *Prerequisites:* - If you don’t already have {kib}, https://www.elastic.co/cloud/elasticsearch-service/signup?baymax=docs-body&elektra=docs[start a free trial] on Elastic Cloud. @@ -20,34 +17,36 @@ and <>. [float] [[find-the-data-you-want-to-use]] -=== Find your data +=== Load data into Discover -Tell {kib} where to find the data you want to explore, and then specify the time range in which to view that data. +Select the data you want to explore, and then specify the time range in which to view that data. -. Find **Discover** in the navigation menu or by using the <>. +. Find **Discover** in the navigation menu or by using the <>. -. Select the data you want to work with. +. Select the data view that contains the data you want to explore. ++ +TIP: {kib} requires a <> to access your Elasticsearch data. A {data-source} can point to one or more indices, {ref}/data-streams.html[data streams], or {ref}/alias.html[index aliases]. When adding data to {es} using one of the many integrations available, some data views are created automatically most of the time, but you can also create your own. + -{kib} uses a <> to tell it where to find -your {es} data. -To view the ecommerce sample data, open the {data-source} menu, and then select **Kibana Sample Data Ecommerce**. +If you're using sample data, data views are automatically created and are ready to use. + [role="screenshot"] image::images/discover-data-view.png[How to set the {data-source} in Discover, width="40%"] -+ -To create a data view for your own data, -click *Create a data view*. -For details, refer to <> - -. Adjust the <> to view data for the *Last 7 days*. +. If needed, adjust the <>, for example by setting it to the *Last 7 days*. + The range selection is based on the default time field in your data. If you are using the sample data, this value was set when you added the data. If you are using your own data, and it does not have a time field, the range selection is not available. -. To view the count of documents for a given time in the specified range, -click and drag the mouse over the chart. +**Discover** is populated with your data and you can view various areas with different information: + +* All fields detected are listed in a dedicated panel. +* A chart allows you to visualize your data. +* A table that shows all the data matching your data view. +By default, the table includes a column for the time field and a column that lists all other fields in the document. +You can modify the document table to display your fields of interest. + +You can later filter the data that shows in the chart and in the table by specifying a query and changing the time range. [float] [[explore-fields-in-your-data]] @@ -55,69 +54,38 @@ click and drag the mouse over the chart. **Discover** provides utilities designed to help you make sense of your data: -* a list of all the fields extracted from the data. -* a table -that shows all the documents that match your search. -By default, the document table includes a column for the time field and a column that lists all other fields in the document. -You can modify the document table to display your fields of interest. - . In the sidebar, check the available fields. It's very common to have hundreds of fields. Use the search at the top of that sidebar to look for specific terms in the field names. + In this example, we've entered `ma` in the search field to find the `manufacturer` field. + [role="screenshot"] -image:images/discover-sidebar-available-fields.png[Fields list that displays the top five search results, width=50%] +image:images/discover-sidebar-available-fields.png[Fields list that displays the top five search results, width=40%] + TIP: You can use wildcards in field searches. For example, `goe*dest` finds `geo.dest` and `geo.src.dest`. -. In the *Available fields* list, click `manufacturer` to view its most popular values. +. Select a field to view its most frequent values. + **Discover** shows the top 10 values and the number of records used to calculate those values. -. Click image:images/add-icon.png[Add icon] to toggle the field into the document table. -You can also drag the field from the *Available fields* list into the document table. +. Select the *Plus* icon to add fields to the results table. +You can also drag them from the list into the table. + [role="screenshot"] image::images/discover-add-icon.png[How to add a field as a column in the table, width="50%"] - -. Find the `customer_first_name` and `customer_last_name` fields and add -them to the document table. Your table should look similar to this: ++ +When you add fields to the table, the **Summary** column that was summarizing each result's data is replaced. + [role="screenshot"] image:images/document-table.png[Document table with fields for manufacturer, customer_first_name, and customer_last_name] +. Arrange the view to your liking to display the fields and data you care most about using the various display options of **Discover**. For example, you can change the order and size of columns, expand the table to be in full screen or collapse the chart and the list of fields. -. Optionally try out these actions: -+ -* To rearrange the table columns, click a -column header, and then select *Move left* or *Move right*. -+ -* To copy the name or values in a column to the clipboard, click the column header and select the desired **Copy** option. -+ -* To view more of the document table, -click -image:images/chart-icon.png[icon button for opening Show/Hide chart menu, width=24px] -to open the *Chart options* menu, -and then select *Hide chart*. -+ -* For keyboard shortcuts on the document table, click -image:images/keyboard-shortcut-icon.png[icon button for opening list of keyboard shortcuts, width=24px]. -+ -* To set the row height to one or more lines, or automatically -adjust the height to fit the contents, click -image:images/row-height-icon.png[icon to open the Row height pop-up, width=24px]. -+ -* To toggle the table in and out of fullscreen mode, click the fullscreen icon -image:images/fullscreen-icon.png[icon to display the document table in fullscreen mode]. - - - - +. **Save** your changes to be able to open the same view later on and explore your data further. [float] [[add-field-in-discover]] -=== Add a field to your {data-source} +==== Add a field to your {data-source} What happens if you forgot to define an important value as a separate field? Or, what if you want to combine two fields and treat them as one? This is where {ref}/runtime.html[runtime fields] come into play. @@ -125,7 +93,7 @@ You can add a runtime field to your {data-source} from inside of **Discover**, and then use that field for analysis and visualizations, the same way you do with other fields. -. In the sidebar, click *Add a field*. +. In the sidebar, select *Add a field*. . 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zrKJw92mALP+_Dzw8QxN$>jDvT85U{bx9+Qsr?EEKEdlz^7ElQ}U%(m+itof)eSAsU za48KE{?7~3Kl>Q)6FMEwhTHPv{?=!CL_~D7-@2~JJ{ViBOkEg7x>6{9W6z_v(>A_l zVMu!V$0>#1o(t$Sp1p5Kc$r1-U1{Wvg@whVy3SncRzG^<8*M3DGttU!Pv(&;c3iQQ z$QZma_)l4ie?2A1JJ`_dOfh4pDi#pV%d>5v8(XX_ICdbCUp*|1(w1x`HT%>l;o!iU z0++-5_Zkwt2ijmTIjZ=AIPUEVX|d_Zds5Q;8{1mow6>Wm{F!13(nTE;VG%V`Tzn|f zfA>D4VLwV|_I??Y{8EJb`Y6ODrGGWOHH5kL%9?B~+Gr}>NbpM@7H&_nD*oTQ%l8zX zeY>ihwyT-b)kdn1zXS$Tj=Bv<;;=m?0`xOaGHfu0%}6SYIot4dL|B;1Dh zw|XhUTPW(xC7!d*ZxJF9L53ME!ag>3wQ;>z;F8eT6b(&3cI$yviR4n3bFeaF8wJbX zI;jB3Camp9#G&!h$Cv4KW5I#wC}u*>d+$xL5X~=7gq|b)>p=NWrm6u0leen5ed5mF zni4#zUJ6)d^nekiVgADZyX@Z)9)H=O>~43XM{aLZ30SC(1DQI`7%_$MYTEmZVY H)9e2OOsR7T From 27ab883e7d54ada56414badb01ed4fc05e54c6b0 Mon Sep 17 00:00:00 2001 From: Florent Le Borgne Date: Tue, 29 Oct 2024 10:12:05 +0100 Subject: [PATCH 04/21] update --- docs/discover/get-started-discover.asciidoc | 173 ++++++++++-------- docs/discover/images/discover-add-filter.png | Bin 105918 -> 86977 bytes .../images/document-table-expanded.png | Bin 405915 -> 736390 bytes 3 files changed, 97 insertions(+), 76 deletions(-) diff --git a/docs/discover/get-started-discover.asciidoc b/docs/discover/get-started-discover.asciidoc index 28c4d29426206..dbfc9d284882e 100644 --- a/docs/discover/get-started-discover.asciidoc +++ b/docs/discover/get-started-discover.asciidoc @@ -95,42 +95,115 @@ the same way you do with other fields. . In the sidebar, select *Add a field*. -. In the *Create field* form, enter `hello` for the name. +. Select the **Type** of the new field. -. Turn on *Set value*. +. **Name** the field. Name it in a way that corresponds to the way other fields of the data view are named. +You can set a custom label and description for the field to make it more recognizable in your data view. -. Define the script using the Painless scripting language. Runtime fields require an `emit()`. +. Define the value that you want the field to show. By default, the field value is retrieved from the source data if it already contains a field with the same name. You can customize this with the following options: + +** **Set value**: Define a script that will determine the value to show for the field. For more information on adding fields and Painless scripting language examples, +refer to <>. +** **Set format**: Set your preferred format for displaying the value. Changing the format can affect the value and prevent highlighting in Discover. + +. In the advanced settings, you can adjust the field popularity to make it appear higher or lower in the fields list. By default, Discover orders fields from most selected to least selected. + +. **Save** your new field. + +You can now find it in the list of fields and add it to the table. + +In the following example, we're adding 2 fields: A simple "Hello world" field, and a second field that combines and transforms the `customer_first_name` and `customer_last_name` fields of the sample data into a single "customer" field. Options that are not mentioned are disabled: + +**Hello world field example**: + +* **Name**: `hello` +* **Type**: `Keyword` +* **Set value**: enabled +* **Script**: + ```ts emit("Hello World!"); ``` -. Click *Save*. - -. In the sidebar, search for the *hello* field, and then add it to the document table. -+ -[role="screenshot"] -image:images/hello-field.png[hello field in the document tables] +**Customer field example**: -. Create a second field named `customer` that combines customer last name and first initial. +* **Name**: `customer` +* **Type**: `Keyword` +* **Set value**: enabled +* **Script**: + ```ts String str = doc['customer_first_name.keyword'].value; char ch1 = str.charAt(0); emit(doc['customer_last_name.keyword'].value + ", " + ch1); ``` -. Remove `customer_first_name` and `customer_last_name` from the document table, and then add `customer`. + +[float] +[[compare-field-in-discover]] +==== Compare fields + +//TODO + +[float] +[[look-inside-a-document]] +==== Explore individual result or document details in depth + +Dive into an individual document to view its fields and the documents +that occurred before and after it. + +. In the document table, click the expand icon +image:images/expand-icon-2.png[double arrow icon to open a flyout with the document details] +to show document details. + [role="screenshot"] -image:images/customer.png[Customer last name, first initial in the document table] +image:images/document-table-expanded.png[Table view with document expanded] + +. Scan through the fields and their values. If you find a field of interest, +hover your mouse over the *Actions* column for filters and other options. + -For more information on adding fields and Painless scripting language examples, -refer to <>. +TIP: You can restrict the fields listed in the detailed view to just the fields that you explicitly added to the **Discover** table, using the **Selected only** toggle. + +. To create a view of the document that you can bookmark and share, select ** View single document**. + +. To view documents that occurred before or after the event you are looking at, select +**View surrounding documents**. + +[float] +==== Visualize aggregated fields +If a field can be {ref}/search-aggregations.html[aggregated], you can quickly +visualize it in details by opening it in **Lens** from **Discover**. **Lens** is the default visualization editor in {kib}. + +. In the list of fields, find an aggregated field. For example, with the sample data, you can look for `day_of_week`. ++ +[role="screenshot"] +image:images/discover-day-of-week.png[Top values for the day_of_week field, plus Visualize button, width=50%] + +. In the popup, click **Visualize**. ++ +{kib} creates a **Lens** visualization best suited for this field. + +. In **Lens**, from the *Available fields* list, drag and drop more fields to refine the visualization or create combinations. In this example, we're adding the `manufacturer.keyword` field onto the workspace. ++ +[role="screenshot"] +image:images/discover-from-visualize.png[Visualization that opens from Discover based on your data] + +. Save the visualization if you'd like to add it to a dashboard or keep it in the Visualize library for later use. + +For geo point fields (image:images/geoip-icon.png[Geo point field icon, width=20px]), +if you click **Visualize**, +your data appears in a map. ++ +[role="screenshot"] +image:images/discover-maps.png[Map containing documents] + [float] [[search-in-discover]] -=== Search your data +=== Search and filter data + +[float] +==== Default mode: Search and filter using KQL One of the unique capabilities of **Discover** is the ability to combine free text search with filtering based on structured data. @@ -139,13 +212,12 @@ To search all fields, enter a simple string in the query bar. [role="screenshot"] image:images/discover-search-field.png[Search field in Discover] - To search particular fields and build more complex queries, use the <>. As you type, KQL prompts you with the fields you can search and the operators you can use to build a structured query. -Search the ecommerce data for documents where the country matches US: +For example, search the ecommerce sample data for documents where the country matches US: . Enter `g`, and then select *geoip.country_iso_code*. . Select *:* for equals some value and *US*, and then click the refresh button or press the Enter key. @@ -155,16 +227,13 @@ Search the ecommerce data for documents where the country matches US: geoip.country_iso_code : US and products.taxless_price >= 75 ``` -[float] [[filter-in-discover]] -=== Filter your data - Whereas the query defines the set of documents you are interested in, filters enable you to zero in on subsets of those documents. You can filter results to include or exclude specific fields, filter for a value in a range, and more. -Exclude documents where day of week is not Wednesday: +for example, exclude results from the ecommerce sample data view where day of week is not Wednesday: . Click image:images/add-icon.png[Add icon] next to the query bar. . In the *Add filter* pop-up, set the field to *day_of_week*, the operator to *is not*, @@ -175,36 +244,18 @@ image:images/discover-add-filter.png[Add filter dialog in Discover] . Click **Add filter**. . Continue your exploration by adding more filters. -. To remove a filter, -click the close icon (x) next to its name in the filter bar. +. To remove a filter, click the close icon (x) next to its name in the filter bar. [float] -[[look-inside-a-document]] -=== Look inside a document - -Dive into an individual document to view its fields and the documents -that occurred before and after it. - -. In the document table, click the expand icon -image:images/expand-icon-2.png[double arrow icon to open a flyout with the document details] -to show document details. -+ -[role="screenshot"] -image:images/document-table-expanded.png[Table view with document expanded] - -. Scan through the fields and their values. If you find a field of interest, -hover your mouse over the *Actions* column for filters and other options. - -. To create a view of the document that you can bookmark and share, click **Single document**. +==== Search and filter using ES|QL -. To view documents that occurred before or after the event you are looking at, click -**Surrounding documents**. +Learn more about how to use ES|QL queries in <>. [float] [[save-your-search]] -=== Save your search for later use +==== Save your search for later use Save your search so you can use it later, generate a CSV report, or use it to create visualizations, dashboards, and Canvas workpads. Saving a search saves the query text, filters, @@ -219,42 +270,14 @@ the document table, the sort order, and the {data-source}. . Click **Save**. -[float] -=== Visualize your findings -If a field can be {ref}/search-aggregations.html[aggregated], you can quickly -visualize it from **Discover**. - -. In the sidebar, find and then click `day_of_week`. -+ -[role="screenshot"] -image:images/discover-day-of-week.png[Top values for the day_of_week field, plus Visualize button, width=50%] - - -. In the popup, click **Visualize**. -+ -{kib} creates a visualization best suited for this field. - -. From the *Available fields* list, drag and drop `manufacturer.keyword` onto the workspace. -+ -[role="screenshot"] -image:images/discover-from-visualize.png[Visualization that opens from Discover based on your data] - -. Save your visualization for use on a dashboard. -+ -For geo point fields (image:images/geoip-icon.png[Geo point field icon, width=20px]), -if you click **Visualize**, -your data appears in a map. -+ -[role="screenshot"] -image:images/discover-maps.png[Map containing documents] - [float] [[share-your-findings]] -=== Share your findings +==== Share your search -To share your findings with a larger audience, click *Share* in the *Discover* toolbar. +To share your search and **Discover** view with a larger audience, click *Share* in the toolbar. 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