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Delta Lake API

Audience:Data Owners and Data Users

Content Summary: This page describes the Spark SQL options to substitute for the Delta Lake API a user may need.


When using Delta Lake, the API does not go through the normal Spark execution path. This means that Immuta's Spark extensions do not provide protection for the API. To solve this issue and ensure that Immuta has control over what a user can access, the Delta Lake API is blocked.

Spark SQL can be used instead to give the same functionality with all of Immuta's data protections.


Below is a table of the Delta Lake API with the Spark SQL that may be used instead.

Delta Lake API Spark SQL
DeltaTable.convertToDelta CONVERT TO DELTA parquet./path/to/parquet/
DeltaTable.delete DELETE FROM [table_identifier delta./path/to/delta/] WHERE condition
DeltaTable.generate GENERATE symlink_format_manifest FOR TABLE [table_identifier delta./path/to/delta]
DeltaTable.history DESCRIBE HISTORY [table_identifier delta./path/to/delta] (LIMIT x)
DeltaTable.merge MERGE INTO
DeltaTable.update UPDATE [table_identifier delta./path/to/delta/] SET column = valueWHERE (condition)
DeltaTable.vacuum VACUUM [table_identifier delta./path/to/delta]

See here for a complete list of the Delta SQL Commands.