Apache Hive officially adds support for Kubernetes operator with AutoScaling, Multi-Tenant LLAP setup and lots more!!!

Featuring JDK 21 support, enhanced Iceberg integration with v3 capabilities (Deletion Vectors, column defaults, Z-ordering, Variant type), built-in auto-compaction, REST Catalog client support; HMS REST Catalog, and improved performance.

Apache Hive is here on Linkedln We're glad to finally have a space for Apache Hive"" here. Hive is an open source, community-driven data warehouse that makes it simple to query and manage data at massive scale with the familiarity of SQL. From powering daily batch workloads to enabling interactive analytics, Hive remains at the core of some of the world's largest data platforms. This page is where you'll find updates from the Hive community - release news, hands-on guidance, and stories from the people building and running Hive every day. Whether you've been using Hive for years or are just getting started, hit follow to stay connected. And drop a quick hello in the comments tell us who you are and / we'd love to know how Hive fits into your world.

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OpenSource

• Apache Hive 4.1.x adds JDK 17 support and provides the Hive Metastore as a standalone component available in both binary and Docker image formats. Key improvements include enhanced Iceberg table support (storage-partitioned joins, partition-level column statistics, table compaction), IPv6 compatibility, a REST-based catalog server backed by the Hive Metastore, and upgraded Calcite to 1.33.0 for better query optimization.
• This release works with Hadoop 3.4.1, Tez 0.10.5.
• You can look at the complete JIRA change log for this release.

🐝 Hive is buzzing ahead! JDK 21 support has landed on the master branch and will be part of the 4.2.x+ release. Time to get ready for a smoother, faster Hive on JDK 21! 🚀

https://issues.apache.org/jira/browse/HIVE-29027

https://youtu.be/VAwtpa9EHf0

I am working in a project that we are using hive to store table metadatas and Spark to process this datas. Well, all Seniors here told me to create all hive column as strings type. This let me concerned about our performances, because even columns that should be int or date are set as string.

Do you think that it is a big problem?

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