Disable two level of map for final hash aggregation by default Improve readability of missing column error message Migrate SHOW TABLES to use V2 command by default Fix reading hive views without explicit column names Fix broken SQL syntax link in SQL Reference page Reduce the scope of synchronized to prevent potential deadlock Spark should only pass –verbose argument to main class when is sql shell InferConstraints rule should create IsNotNull constraints on the accessed nested field instead of the root nested type : Alter view does not preserve column case Only collapse projects if we don’t duplicate expensive expressions
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SystemRequirements to include Java CatalogTable -> HiveTable Improve byte array sort by unify compareTo function of UTF8String and ByteArray Included in Databricks Runtime 10.0 (Unsupported), as well as the following additional bug fixes and improvements made to Spark: This release includes all Spark fixes and improvements The target file size for Auto Compaction can be controlled with the .maxFileSize configuration.įor more information about Auto Compaction, see Enable Auto Optimize and When to opt in to Auto Compaction.ĭatabricks Runtime 10.1 includes Apache Spark 3.2.0. This configuration takes precedence over the related table property during the current session. Instead of setting this property for an individual table, you can set the .enabled configuration to auto, legacy, or true to enable Auto Compaction for all Delta tables.
![glassfish 4.1.1 glassfish 4.1.1](https://pbs.twimg.com/media/FEkremVWQAYkhbK.jpg)
When set to legacy or true, Auto Compaction uses 128 MB as the target file size. When set to auto (recommended), Auto Compaction uses better defaults, such as setting 32 MB as the target file size (although default behaviors are subject to change in the future).
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The Delta table property now accepts the new values of auto and legacy in addition to the existing values of true and false. New Delta table settings for compacting small files