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  1. Upsert into a Delta Lake table using merge. You can upsert data from a source table, view, or DataFrame into a target Delta table by using the MERGE SQL operation. Delta Lake supports inserts, updates, and deletes in MERGE, and it supports extended syntax beyond the SQL standards to facilitate advanced use cases.

    • User-defined Metadata

      You can specify user-defined strings as metadata in commits,...

    • Selective Overwrite

      For tables with multiple partitions, Databricks Runtime 11.3...

    • Tune File Size

      In Databricks Runtime 10.4 LTS and above, auto compaction...

    • Vacuum

      Important. In Databricks Runtime 13.3 LTS and above, VACUUM...

  2. Databricks Connect allows you to connect popular IDEs such as Visual Studio Code, PyCharm, IntelliJ IDEA, notebook servers, and other custom applications to Databricks clusters. Databricks Connect is a client library for the Databricks Runtime.

  3. The databricks documentation describes how to do a merge for delta-tables. In SQL the syntax. MERGE INTO [db_name.]target_table [AS target_alias] USING [db_name.]source_table [<time_travel_version>] [AS source_alias] ON <merge_condition>.

  4. 6 wrz 2024 · Learn how to use Databricks Connect for Python. Databricks Connect allows you to connect popular IDEs and other custom applications to Azure Databricks clusters.

  5. 6 wrz 2024 · Learn how to install Databricks Connect for Python. Databricks Connect allows you to connect popular IDEs and other custom applications to Azure Databricks clusters.

  6. To migrate from Databricks Connect for Databricks Runtime 12.2 LTS and below to Databricks Connect for Databricks Runtime 13.3 LTS and above, see Migrate to Databricks Connect for Python. See also information about troubleshooting and limitations. Learn how to use Databricks Connect for Python.

  7. 3 dni temu · Modify all unmatched rows using merge. In Databricks SQL and Databricks Runtime 12.2 LTS and above, you can use the WHEN NOT MATCHED BY SOURCE clause to UPDATE or DELETE records in the target table that do not have corresponding records in the source table. Databricks recommends adding an optional conditional clause to avoid fully rewriting the ...

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