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2_docker_sql

README.md

Docker and SQL

Notes I used for preparing the videos: link

Commands

All the commands from the video

Downloading the data

wget https://github.com/DataTalksClub/nyc-tlc-data/releases/download/yellow/yellow_tripdata_2021-01.csv.gz

Note: now the CSV data is stored in the csv_backup folder, not trip+date like previously

Running Postgres with Docker

Windows

Running Postgres on Windows (note the full path)

docker run -it \
  -e POSTGRES_USER="root" \
  -e POSTGRES_PASSWORD="root" \
  -e POSTGRES_DB="ny_taxi" \
  -v c:/Users/alexe/git/data-engineering-zoomcamp/week_1_basics_n_setup/2_docker_sql/ny_taxi_postgres_data:/var/lib/postgresql/data \
  -p 5432:5432 \
  postgres:13

If you have the following error:

docker run -it \
  -e POSTGRES_USER="root" \
  -e POSTGRES_PASSWORD="root" \
  -e POSTGRES_DB="ny_taxi" \
  -v e:/zoomcamp/data_engineer/week_1_fundamentals/2_docker_sql/ny_taxi_postgres_data:/var/lib/postgresql/data  \
  -p 5432:5432 \
  postgres:13

docker: Error response from daemon: invalid mode: \Program Files\Git\var\lib\postgresql\data.
See 'docker run --help'.

Change the mounting path. Replace it with the following:

-v /e/zoomcamp/...:/var/lib/postgresql/data

Linux and MacOS

docker run -it \
  -e POSTGRES_USER="root" \
  -e POSTGRES_PASSWORD="root" \
  -e POSTGRES_DB="ny_taxi" \
  -v $(pwd)/ny_taxi_postgres_data:/var/lib/postgresql/data \
  -p 5432:5432 \
  postgres:13

If you see that ny_taxi_postgres_data is empty after running the container, try these:

  • Deleting the folder and running Docker again (Docker will re-create the folder)
  • Adjust the permissions of the folder by running sudo chmod a+rwx ny_taxi_postgres_data

CLI for Postgres

Installing pgcli

pip install pgcli

If you have problems installing pgcli with the command above, try this:

conda install -c conda-forge pgcli
pip install -U mycli

Using pgcli to connect to Postgres

pgcli -h localhost -p 5432 -u root -d ny_taxi

NY Trips Dataset

Dataset:

According to the TLC data website, from 05/13/2022, the data will be in .parquet format instead of .csv The website has provided a useful link with sample steps to read .parquet file and convert it to Pandas data frame.

You can use the csv backup located here, https://github.com/DataTalksClub/nyc-tlc-data/releases/download/yellow/yellow_tripdata_2021-01.csv.gz, to follow along with the video.

$ aws s3 ls s3://nyc-tlc
                           PRE csv_backup/
                           PRE misc/
                           PRE trip data/

pgAdmin

Running pgAdmin

docker run -it \
  -e PGADMIN_DEFAULT_EMAIL="[email protected]" \
  -e PGADMIN_DEFAULT_PASSWORD="root" \
  -p 8080:80 \
  dpage/pgadmin4

Running Postgres and pgAdmin together

Create a network

docker network create pg-network

Run Postgres (change the path)

docker run -it \
  -e POSTGRES_USER="root" \
  -e POSTGRES_PASSWORD="root" \
  -e POSTGRES_DB="ny_taxi" \
  -v c:/Users/alexe/git/data-engineering-zoomcamp/week_1_basics_n_setup/2_docker_sql/ny_taxi_postgres_data:/var/lib/postgresql/data \
  -p 5432:5432 \
  --network=pg-network \
  --name pg-database \
  postgres:13

Run pgAdmin

docker run -it \
  -e PGADMIN_DEFAULT_EMAIL="[email protected]" \
  -e PGADMIN_DEFAULT_PASSWORD="root" \
  -p 8080:80 \
  --network=pg-network \
  --name pgadmin-2 \
  dpage/pgadmin4

Data ingestion

Running locally

URL="https://github.com/DataTalksClub/nyc-tlc-data/releases/download/yellow/yellow_tripdata_2021-01.csv.gz"

python ingest_data.py \
  --user=root \
  --password=root \
  --host=localhost \
  --port=5432 \
  --db=ny_taxi \
  --table_name=yellow_taxi_trips \
  --url=${URL}

Build the image

docker build -t taxi_ingest:v001 .

On Linux you may have a problem building it:

error checking context: 'can't stat '/home/name/data_engineering/ny_taxi_postgres_data''.

You can solve it with .dockerignore:

  • Create a folder data
  • Move ny_taxi_postgres_data to data (you might need to use sudo for that)
  • Map -v $(pwd)/data/ny_taxi_postgres_data:/var/lib/postgresql/data
  • Create a file .dockerignore and add data there
  • Check this video (the middle) for more details

Run the script with Docker

URL="https://github.com/DataTalksClub/nyc-tlc-data/releases/download/yellow/yellow_tripdata_2021-01.csv.gz"

docker run -it \
  --network=pg-network \
  taxi_ingest:v001 \
    --user=root \
    --password=root \
    --host=pg-database \
    --port=5432 \
    --db=ny_taxi \
    --table_name=yellow_taxi_trips \
    --url=${URL}

Docker-Compose

Run it:

docker-compose up

Run in detached mode:

docker-compose up -d

Shutting it down:

docker-compose down

Note: to make pgAdmin configuration persistent, create a folder data_pgadmin. Change its permission via

sudo chown 5050:5050 data_pgadmin

and mount it to the /var/lib/pgadmin folder:

services:
  pgadmin:
    image: dpage/pgadmin4
    volumes:
      - ./data_pgadmin:/var/lib/pgadmin
    ...

SQL

Coming soon!