How to call a table created with create_table using dlt in a separate notebook?

[rt-slowth]

I created a separate pipeline notebook to generate the table via DLT, and a separate notebook to write the entire output to redshift at the end. The table created via DLT is called spark.read.table("{schema}.{table}").
This way, I can import

[MATERIALIZED_VIEW_OPERATION_NOT_ALLOWED.REQUIRES_SHARED_COMPUTE] The materialized view operation query is not allowed: Cannot query the Materialized View main.voyager.shop_silver from an Assigned or No Isolation Shared cluster, please use a Shared cluster or a Databricks SQL warehouse instead.

I get this error. How can I fix it?

[Kaniz_Fatma · Accepted solution]

Hi @rt-slowth, The error message you received indicates that materialized views in Delta Lake require access to metadata unavailable in a non-shared Databricks job cluster.

Specifically, materialized views rely on access to the Databricks metadata store to perform query op....

Here are some steps to address this issue:

Enable Materialized Views:

• Ensure that materialized view features are enabled for your workspace. If not, reach out to Databricks support to help materialized views for your workspace.
• Consider using DBSQL Serverless (recommended) or Pro warehouse for materialized views.

Cluster Type:

• Avoid using an Assigned or No Isolation Shared cluster for querying materialized views. Instead, use a Shared cluster or a Databricks SQL warehouse.

Review Materialized View Creation:

• Verify that the materialized view creation process adheres to the correct syntax and requirements.
• Ensure the materialized view is correctly created based on your business logic and data requirements.

Check Permissions:

• The user creating the materialized view should have the necessary permissions:
  • SELECT privilege over the base tables referenced by the materialized view.
  • USAGE privilege on the catalog and schema containing the materialized view.

Refresh Schedule:

• If you’re scheduling refreshes for materialized views, ensure the cron schedule is correctly configured.
• Note that SCHEDULE REFRESH cannot be used in a Delta Live Tables pipeline definition.

[rt-slowth]

Enable Materialized Views:

- Consider using DBSQL Serverless (recommended) or Pro warehouse for materialized views.

- Ensure that materialized view features are enabled for your workspace.

Can you point me to the documentation for this workaround?

[rt-slowth]

@Kaniz_Fatma 

Enable Materialized Views:

• Ensure that materialized view features are enabled for your workspace.
• Consider using DBSQL Serverless (recommended) or Pro warehouse for materialized views.

Can you point me to the documentation for this workaround?

[Kaniz_Fatma · Accepted solution]

Here it is - https://learn.microsoft.com/en-us/azure/data-explorer/kusto/management/materialized-views/materializ...

[Kaniz_Fatma]

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