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@@ -37,12 +37,12 @@ For a complete list of improvements, see the [Apache Spark 3.1 release notes.](h
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For more details on migration, see the [migration guide.](https://spark.apache.org/docs/latest/migration-guide.html)
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## Kafka 2.4 is now generally available
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###Kafka 2.4 is now generally available
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Kafka 2.4.1 is now Generally Available. For more information, please see [Kafka 2.4.1 Release Notes.](http://kafka.apache.org/24/documentation.html)
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Other features include MirrorMaker 2 availability, new metric category AtMinIsr topic partition, Improved broker start-up time by lazy on demand mmap of index files, More consumer metrics to observe user poll behavior.
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## Map Datatype in HWC is now supported in HDInsight 4.0
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###Map Datatype in HWC is now supported in HDInsight 4.0
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This release includes Map Datatype Support for HWC 1.0 (Spark 2.4) Via the spark-shell application, and all other all spark clients that HWC supports. Following improvements are included like any other data types:
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@@ -69,12 +69,12 @@ OSS backports that are included in Hive including HWC 1.0 (Spark 2.4) which supp
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| LLAP external client - Handle nested values when the parent struct is null |[HIVE-25243](https://issues.apache.org/jira/browse/HIVE-25243)|
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| Upgrade arrow version to 0.11.0 |[HIVE-23987](https://issues.apache.org/jira/browse/HIVE-23987)|
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## Deprecation notices
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### Azure Virtual Machine Scale Sets on HDInsight
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###Deprecation notices
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####Azure Virtual Machine Scale Sets on HDInsight
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HDInsight will no longer use Azure Virtual Machine Scale Sets to provision the clusters, no breaking change is expected. Existing HDInsight clusters on virtual machine scale sets will have no impact, any new clusters on latest images will no longer use Virtual Machine Scale Sets.
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### Scaling of Azure HDInsight HBase workloads will now be supported only using manual scale
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####Scaling of Azure HDInsight HBase workloads will now be supported only using manual scale
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Starting from March 01, 2022, HDInsight will only support manual scale for HBase, there's no impact on running clusters. New HBase clusters won't be able to enable schedule based Autoscaling. For more information on how to manually scale your HBase cluster, refer our documentation on [Manually scaling Azure HDInsight clusters](./hdinsight-scaling-best-practices.md)
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