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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
Python and Scala APIs for executing OPTIMIZE operation are...
- User-defined Metadata
Set user-defined commit metadata. You can specify...
- Selective Overwrite
For tables with multiple partitions, Databricks Runtime 11.3...
- 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>.
3 paź 2019 · The key features in this release are: 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.
3 lis 2021 · Then you can coalesce/repartition them and write the merged files back to the data lake. Another option is by using delta lake, using MERGE statement (incoming data is merged in the existing). Delta lake handles the partitioning.
29 wrz 2020 · Delta Lake supports DML commands like UPDATE, DELETE, and MERGE, simplifying big data operations with performance tips and insights on internal workings.
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.
FAQs and tips for moving Python workloads to Databricks can be found in the Databricks Knowledge Base. Learn about developing notebooks and jobs in Databricks using the Python language. This article provides links to tutorials and key references and tools.
