Read in stdin and write out to Google Cloud Storage.
python3 -m venv ./venv
source ./venv/bin/activate
Then
pip install https://github.com/anelendata/target_gcs/tarball/master
Or
git clone [email protected]:anelendata/target_gcs.git
pip install -e target_gcs
Note: As in the sample, you can use the following parameters in the blob name:
- etl_datetime (ISO 8601 format)
- etl_tstamp (unix time stamp)
Set the path to Google Cloud API's application credential JSON file:
export GOOGLE_APPLICATION_CREDENTIALS=./path_to/your_cred_file.json
Make sure your service account associated with the crendential file has sufficient GCS permissions. If the bucket specified in the config does not exist, target_gcs tries to create one. In this case, the account needs Storage Admin. Otherwise, Object Createor at minimum.
echo -e '{"line": 1, "value": "hello"}\n{"line": 2, "value": "world"}' | target_gcs -c ./your-config.json
Here is the example to get USGS earthquake events data:
curl "https://earthquake.usgs.gov/fdsnws/event/1/query?format=geojson&starttime=2020-06-24&endtime=2020-06-25" | target_gcs -c ./your-config.json
git clone [email protected]:anelendata/target_gcs.git
cd target_gcs
pip install google-cloud-bigquery
python create_schemaless_table.py -p your-project-id -g gs://your-bucket/your-dataset -d your-dataset-name -t your-table-name
Note: dataset must exist.
This project is developed by ANELEN and friends. Please check out the ANELEN's open innovation philosophy and other projects
Copyright © 2020~ Anelen Co., LLC
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