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1. docs.databricks.com › en › deltaUpsert into a Delta Lake table using merge | Databricks on AWS

   docs.databricks.com › en › delta

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   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.

   • Manage Feature Compatibility

     Databricks supports reading Delta tables that have been...

   • Schema Validation

     Schema validation during MERGE operations. Databricks...

   • Best Practices

     Best practices: Delta Lake. This article describes best...

   • Optimize

     Readers of Delta tables use snapshot isolation, which means...

   • 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. stackoverflow.com › questions › 60986599What is the pyspark equivalent of MERGE INTO for databricks delta...

   stackoverflow.com › questions › 60986599

   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. docs.databricks.com › en › sqlMERGE INTO | Databricks on AWS

   docs.databricks.com › en › sql

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   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. kb.databricks.com › delta › delta-merge-intoHow to improve performance of Delta Lake MERGE INTO ... -...

   kb.databricks.com › delta › delta-merge-into

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   1 cze 2023 · This article explains how to trigger partition pruning in Delta Lake MERGE INTO (AWS | Azure | GCP) queries from Databricks. Partition pruning is an optimization technique to limit the number of partitions that are inspected by a query.

5. learn.microsoft.com › en-us › azureDatabricks SDK for Python - Azure Databricks | Microsoft Learn

   learn.microsoft.com › en-us › azure

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   11 paź 2024 · Use the Databricks SDK for Python from an Azure Databricks notebook. You can call Databricks SDK for Python functionality from an Azure Databricks notebook that has an attached Azure Databricks cluster with the Databricks SDK for Python installed.

6. learn.microsoft.com › en-us › azureMERGE INTO - Azure Databricks - Databricks SQL | Microsoft Learn

   learn.microsoft.com › en-us › azure

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   3 dni temu · Learn how to use the MERGE INTO syntax of the Delta Lake SQL language in Databricks SQL and Databricks Runtime.

7. learn.microsoft.com › en-us › azureUpsert into a Delta Lake table using merge - Azure Databricks

   learn.microsoft.com › en-us › azure

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   3 dni temu · In Databricks SQL and Databricks Runtime 12.2 LTS and above, you can use WHEN NOT MATCHED BY SOURCE to create arbitrary conditions to atomically delete and replace a portion of a table. This can be especially useful when you have a source table where records may change or be deleted for several days after initial data entry, but eventually ...