You can enable asynchronous state checkpointing in stateful streaming queries with large state updates. Asynchronous state checkpointing is now generally available This option maps directly to the REJECT_VALUE option for the CREATE EXTERNAL TABLE statement in PolyBase and to the MAXERRORS option for the Azure Synapse connector’s COPY command.īy default, ma圎rrors value is set to 0: all records are expected to be valid. For example, if two out of ten records have errors, only eight records are processed.
#RULE 34 GLASSFISH UPDATE#
This update enables you to configure the maximum number of rejected rows that are allowed during reads and writes before the load operation is cancelled. The Azure Synapse connector now supports a ma圎rrors DataFrame option. Azure Synapse connector now enables the maximum number of allowed reject rows to be set You can also explicitly switch to other connection pool implementations, for example BoneCP, by setting. HikariCP is enabled by default on any Databricks Runtime cluster that uses the Databricks Hive metastore (for example, when .jars is not set). HikariCP brings many stability improvements for Hive metastore access while maintaining fewer connections compared to the previous BoneCP connection pool implementation. HikariCP is now the default Hive metastore connection pool This behavior is a best-effort approach, and this approach does not apply to cases when files are so small that these files are combined during the update or delete. The UPDATE and DELETE commands now preserve existing clustering information (including Z-ordering) for files that are updated or deleted. Insertion order tags are now preserved for UPDATEs and DELETEs The configuration setting that was previously used to enable this feature has been removed. This behavior improves the performance of the MERGE INTO command significantly for most workloads. The MERGE INTO command now always uses the new low-shuffle implementation. Low Shuffle Merge is now enabled by default Writes will now succeed even if there are concurrent Auto Compaction transactions. Before this release, such writes would often quit, due to concurrent modifications to a table. This release improves the behavior for Delta Lake writes that commit when there are concurrent Auto Compaction transactions. Auto Compaction rollbacks are now enabled by default See Convert an Iceberg table to a Delta table. It does this by using Iceberg native metadata and file manifests.
Iceberg to Delta table converter (Public Preview)Ĭonvert to Delta now supports converting an Iceberg table to a Delta table in place.
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