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AVRO/CSV Import to BigQuery from Cloud Storage with a Cloud Function

Author(s): @mikekahn ,   Published: 2018-05-06

## Introduction

This tutorial demonstrates using a Cloud Function to create a serverless cron scheduled import for data management or data science workflows. One such use case would be when a third party provides data uploaded to a Cloud Storage bucket on a regular basis in a GCP project. Instead of manually importing the CSV or AVRO to BigQuery each day, you can use a cloud function with a trigger on object.finalize on a set bucket. This way, whenever a CSV or an AVRO file is uploaded to that bucket, the function imports the file to a new BigQuery table to the specified dataset.

Cloud Function AVRO import workflow

Here is how to set it up:


  1. Enable Cloud Functions, Cloud Storage and BigQuery APIs in the GCP Console.
  2. Open Cloud Shell in the GCP console
  3. Download the zip with all files

    wget https://github.com/GoogleCloudPlatform/community/raw/master/tutorials/cloud-functions-avro-import-bq/gcf_gcs.zip
  4. Unzip

    unzip gcf_gcs.zip
  5. Update index.js with your projectId and datasetId (destination).

  6. Update install.sh --trigger-resource flag with your source Cloud Storage bucket (replace avro-import-source)

  7. Run the function:

  8. Verify the function is running in the GCP Console.

  9. Upload an AVRO file to the source Cloud Storage bucket you specified in install.sh.

This cloud function should deploy and wait for new objects to be finalized on the source Cloud Storage bucket. Once a new AVRO file is uploaded to the source it will use the BigQuery API to load the new dataset into a new table.

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