![]() ![]() In this topic: Delete from a table Update a table Upsert into a table using Merge Merge examples02-09-2022 07:47 AM. import os path = "" for delta_table in os.listdir(path): dbutils.fs.rm("" + …Updated Contribute Documentation Table Deletes, Updates, and Merges Delta Lake GitHub repo Table Deletes, Updates, and Merges Delta Lake supports several statements to facilitate deleting data from and updating data in Delta tables. But for external table, spark do not owns the data, so when you delete external table, only metadata present in metastore is deleted by spark and data (files) which were present. The key features in this release are: Python APIs for DML and utility operations ( #89) - You can now use Python APIs to update/delete/merge data in Delta Lake tables and to run utility operations (i.e., vacuum, history) on them.When you delete Managed Table, spark is responsible for cleanup of metaData of that table stored in metastore and for cleanup of the data (files) present in that table. Tip When possible, provide predicates on the partition columns for a partitioned Delta table as such predicates can significantly speed up the operation. ![]() If you don’t need to change the table schema, you can delete data from a Delta table and insert your new data, or update the table to fix the incorrect lete removes the data from the latest version of the Delta table but does not remove it from the physical storage until the old versions are explicitly vacuumed. While you are deleting the table a concurrent query reading the table can fail or see a partial table. ![]()
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