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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...
- Manage Feature Compatibility
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>.
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.
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.
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.
3 dni temu · In Databricks Runtime 15.4 LTS and below, MERGE operations only consider conditions specified in the ON clause. See the Delta Lake API documentation for Scala and Python syntax details. For SQL syntax details, see MERGE INTO
In this article, you learn how to automate Databricks operations and accelerate development with the Databricks SDK for Python. This article supplements the Databricks SDK for Python documentation on Read The Docs and the code examples in the Databricks SDK for Python repository in GitHub.
