Search results
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>.
This section provides a guide to developing notebooks and jobs in Databricks using the Python language, including tutorials for common workflows and tasks, and links to APIs, libraries, and tools. To get started: Import code: Either import your own code from files or Git repos or try a tutorial listed below.
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 · Applies to: Databricks SQL Databricks Runtime. Merges a set of updates, insertions, and deletions based on a source table into a target Delta table. This statement is supported only for Delta Lake tables. This page contains details for using the correct syntax with the MERGE command.
3 dni temu · In a streaming query, you can use merge operation in foreachBatch to continuously write any streaming data to a Delta table with deduplication. See the following streaming example for more information on foreachBatch. In another streaming query, you can continuously read deduplicated data from this Delta table.
17 paź 2022 · Discover how Databricks' Photon and Low-Shuffle MERGE boost MERGE operations by up to 4x, enhancing data processing efficiency.
