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  1. 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

      Optimized writes are enabled by default for the following...

    • Vacuum

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

  2. 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>.

  3. You can use MERGE INTO for complex operations like deduplicating data, upserting change data, applying SCD Type 2 operations, etc. See Upsert into a Delta Lake table using merge for a few examples.

  4. 3 paź 2019 · 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.

  5. 19 maj 2020 · But what happens if you need to update an existing value and merge the schema at the same time? With Delta Lake 0.6.0, this can be achieved with schema evolution for merge operations. To visualize this, let’s start by reviewing the old_data which is one row.

  6. Merge DataFrame objects with a database-style join. The index of the resulting DataFrame will be one of the following: 0…n if no index is used for merging. Index of the left DataFrame if merged only on the index of the right DataFrame. Index of the right DataFrame if merged only on the index of the left DataFrame

  7. 19 mar 2019 · Databricks Delta Lake, the next-generation engine built on top of Apache Spark™, now supports the MERGE command, which allows you to efficiently upsert and delete records in your data lakes.

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