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How to transfer data from Cloud Datastore to Big Query in Google Cloud Platform

If you are here I am assuming that you are looking to migrate the data from Cloud Datastore to Big Query because you want to do some analysis and are frustrated by limitations imposed by GQL (Google Query Language).

First of all you need to create a backup of the data in datastore. Use the Datastore Admin tool provided by Google to take a backup and store it automatically in the Cloud Storage bucket.

Select all the entities and press 'Backup Entities'. Give a backup name, select Google Cloud Storage as backup storage destination and specify a bucket name.




Once the backup job is completed, you will see the backup listed. You can select a backup and press 'Info' and see the details (Entities are masked in the screenshot below).

Go to the bucket mentioned in 'Handle' and you will see the file mentioned above. You will also see many more files with similar names, ending with .backup_info (e.g. ahRzfmpkYS1wZC1zbG8tc2FuZGJveHJBCxIcX0FFX0RhdGFzdG9yZUFkbWluX09wZXJhdGlvbhix_-4DDAsSFl9BRV9CYWNrdXBfSW5mb3JtYXRpb24YAQw.JobDetailsEntity.backup_info)

This is the backup file for a specific entity which you will need to specify when creating a table in Big Query.



Head over to Big Query and create a new dataset.


In Location field select 'Google Cloud Storage' and give the location of backup file for the specific entity. File format is 'Cloud Datastore Backup'.

Like the one we found earlier: gs://jda_so__78700310-e2f9-4cf2-8f20-dd325de09a4d_data_bkup/ahRzfmpkYS1wZC1zbG8tc2FuZGJveHJBCxIcX0FFX0RhdGFzdG9yZUFkbWluX09wZXJhdGlvbhix_-4DDAsSFl9BRV9CYWNrdXBfSW5mb3JtYXRpb24YAQw.JobDetailsEntity.backup_info.

Here the bucket name: jda_so__78700310-e2f9-4cf2-8f20-dd325de09a4d_data_bkup is coming from the 'Handle' field in the backup information in the datastore admin and the file name you got in the previous step!

Specify the name of the table you want to create in Big Query in 'Destination' field. Press 'Create Table' and if everything is correct, the job will complete successfully.  Select a table from the left panel and click on Preview to see the data populated. And you are done!

Let me know in comments if you have any questions.


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