How to transfer dataset (whole dataset at once) from Bigquery to S3 by AWS Glue?

Question

Hi Dears

Hope all is great with you.

I have tried to migrate data from google big query to AWS S3.
I have an issue from source side as below (console).

Connection options:

Enter additional key-value pairs for your data source connection:

**Key: parentProject   value: serene-craft-3363XX

**Key: table    value:  bigquery-public-data:austin_bikeshare.bikeshare_stations

The question that if i want to put dataset instead of table, how that will be??

Noting that I tried write ( dataset ) but not working!

Can you advise please? Thanks in advance
Basem

Accepted Answer

Hi,

If I guess correctly you are using AWS Glue Studio and the AWS Glue big Query connector.

Currently the Glue Big query connector is working at table level (as the  BigQuery Spark Connector does).

If you want to export all the tables in a dataset you may edit the script generated by Glue Studio and customize it.

you would first need to add the google.cloud python library using the method mentioned [here](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-libraries.html).

then before you read the table, you read  the [list of tables in the dataset as described here](https://cloud.google.com/bigquery/docs/samples/bigquery-list-tables#bigquery_list_tables-python).

Finally you iterate on the tables and you read/write them to S3.

This is one possibility the other would be to use an orchestrator as   [StepFunctions](https://docs.aws.amazon.com/step-functions/latest/dg/connect-glue.html) (an alternative could be [Airflow](https://aws.amazon.com/managed-workflows-for-apache-airflow/)), to run a python script to read the list of tables, and then execute the your job (once parametrized by tablename) in [parallel](https://docs.aws.amazon.com/step-functions/latest/dg/amazon-states-language-parallel-state.html) for each table.

hope this helps

How to transfer dataset (whole dataset at once) from Bigquery to S3 by AWS Glue?

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