Apache Hive
(https://hive.apache.org) 📸 Data Snapshot: May 27, 2026Classify each sentence as substantive or hollow. Grounding markers — numbers, currencies, dates, technical units, named entities — outweigh marketing adjectives. When fluff sits right next to hard evidence, the fluff is forgiven.
The site exhibits exceptionally high information density. While the homepage uses some power words like [H4] Battle-Tested Performance, it immediately justifies them with specific metrics such as ’18+ years of development’ and ‘petabytes of data’. The body text is saturated with substance, including code snippets (beeline -u), specific terminal outputs for CBO plans, and detailed JIRA ticket references (e.g., HIVE-27850) that prove ongoing development.
Information Density is read straight from the body copy: how much of the text carries grounded, checkable substance versus hollow filler. Below is the clean text the engine analyzed, then the industry’s known generic-claim patterns to weigh it against.
📝 The Narrative — clean text per page (the substance-vs-filler signal)
HOMEPAGE (https://hive.apache.org) Apache Hive
NEW RELEASE Apache Hive 4.2.0 is now available! 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. Download Details18+Years of Development1000+Enterprise DeploymentsPetabytesData Processed DailyGlobalCommunity [H2] Why Choose Apache Hive? Trusted by enterprises worldwide for mission-critical data analytics [H3] Used by Industry Leaders [IMG: Cloudera] [IMG: Amazon AWS] [IMG: Microsoft Azure] [IMG: Google Cloud] [IMG: Databricks] [IMG: Treasure AI] [H4] Battle-Tested Performance Over 18 years of development and optimization, handling petabytes of data in production environments across the globe. [H4] Vibrant Ecosystem Seamlessly integrates with Spark, Presto, Impala, and hundreds of other tools in the modern data stack. [H4] SQL-First Approach Familiar SQL interface makes it easy for data analysts and engineers to work with big data without learning new languages. [H4] Cloud-Native Ready Native support for S3, Azure Data Lake, Google Cloud Storage, and other cloud storage systems. [H4] Enterprise Security Comprehensive security features including Kerberos authentication, fine-grained access control, and audit logging. [H4] Apache Foundation Backed by the Apache Software Foundation with a strong commitment to open source principles and community governance. [H2] What is Apache Hive? Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. [H5] Central Metadata Repository Hive Metastore (HMS) provides a central repository of metadata that can easily be analyzed to make informed, data driven decisions, making it a critical component of many data lake architectures. [H5] SQL Analytics at Scale Built on top of Apache Hadoop with support for S3, ADLS, GS and more. Hive allows users to read, write, and manage petabytes of data using familiar SQL syntax. [H2] Key Features & Capabilities Powerful tools for modern data analytics and managementbeeline -u "jdbc:hive2://host:10001/default" Connected to: Apache Hive jdbc:hive2://host:10001/>select count(*) from test_t1; [H3] HiveServer2 (HS2) HS2 supports multi-client concurrency and authentication with better support for open API clients like JDBC and ODBC, enabling seamless integration with business intelligence tools and applications.Learn More [IMG: Hive Metastore] [H3] Hive Metastore Server (HMS) The central repository of metadata for Hive tables and partitions, providing clients including Hive, Impala, and Spark access through the metastore service API. A fundamental building block for modern data lakes.Learn More [IMG: Hive ACID] [H3] ACID Transactions Full ACID support for ORC tables and insert-only support for all other formats, ensuring data consistency and reliability in concurrent environments.Learn More jdbc:hive2://> alter table test_t1 compact "MAJOR"; Done! jdbc:hive2://> alter table test_t1 compact "MINOR"; Done! jdbc:hive2://> show compactions; [H3] Data Compaction Query-based and MapReduce-based data compactions are supported out-of-the-box, optimizing storage efficiency and query performance.Learn More [IMG: Hive Iceberg Integration] [H3] Apache Iceberg Support Out-of-the-box support for Apache Iceberg tables, a cloud-native, high-performance open table format, via Hive StorageHandler for modern data lake architectures.Learn More [IMG: Kerberos] [IMG: Apache Atlas] [IMG: Apache Ranger] [H3] Security & Observability Enterprise-grade security with Kerberos authentication and seamless integration with Apache Ranger for authorization and Apache Atlas for data lineage and governance.Learn More [IMG: LLAP] [H3] Low Latency Analytics (LLAP) Interactive and sub-second SQL queries through persistent query infrastructure and optimized data caching, making Hive suitable for real-time analytics workloads.Learn More jdbc:hive2://> explain cbo select ss.ss_net_profit, sr.sr_net_loss from store_sales ss join store_returns sr on (ss.ss_item_sk=sr.sr_item_sk) limit 5 ; +---------------------------------------------+ Explain +---------------------------------------------+ CBO PLAN: HiveSortLimit(fetch=[5]) HiveProject(ss_net_profit=[$1], sr_net_loss=[$3]) HiveJoin(condition=[=($0, $2)], joinType=[inner]) HiveProject(ss_item_sk=[$2], ss_net_profit=[$22]) HiveFilter(condition=[IS NOT NULL($2)]) HiveTableScan(table=[[tpcds_text_10, store_sales]], table:alias=[ss]) HiveProject(sr_item_sk=[$2], sr_net_loss=[$19]) HiveFilter(condition=[IS NOT NULL($2)]) HiveTableScan(table=[[tpcds_text_10, store_returns]], table:alias=[sr]) +---------------------------------------------+ [H3] Cost-Based Optimizer Apache Calcite's cost-based query optimizer (CBO) and execution framework automatically optimize SQL queries for optimal performance and resource utilization.Learn More jdbc:hive2://> repl dump src with ( 'hive.repl.dump.version'= '2', 'hive.repl.rootdir'= 'hdfs://<host>:<port>/user/replDir/d1' ); Done! jdbc:hive2://> repl load src into tgt with ( 'hive.repl.rootdir'= 'hdfs://<host>:<port>/user/replDir/d1' ); Done! [H3] Data Replication Bootstrap and incremental replication capabilities for robust backup and disaster recovery, ensuring business continuity and data protection.Learn More [H2] Ready to Get Started with Apache Hive? Join thousands of organizations using Apache Hive to power their data analytics and build modern data lakes. Start Your Journey Try with Docker Documentation Source Code Mailing Lists Contribute
SUB-PAGE (https://hive.apache.org//development/gettingstarted/) Getting Started
[H4] Table of Contents The Apache Hive ™ data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive. [H1] Getting Started With Apache Hive Software Check out the Getting Started Guide.Learn more About Hive’s Functionality.Read the Getting Started Guide to learn how to install HiveThe User and Hive SQL documentation shows how to program Hive [H2] Quick start with Docker Checkout the quickstart with Docker here: DOCKER_QUICKSTART [H1] Getting Involved With The Apache Hive Community Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop®, but has now graduated to become a top-level project of its own. We encourage you to learn about the project and contribute your expertise.Give us feedback or submit bug reports: What can we do better?Join the mailing list and meet our communityRead through our Contributor’s Guides about where to find the source or submit patchesBecome a Hive Fan on FacebookFollow @ApacheHive on Twitter
SUB-PAGE (https://hive.apache.org//community/mailinglists/) Mailing Lists
[H4] Table of Contents [H1] Mailing Lists We welcome you to join our mailing lists and let us know about your thoughts or ideas about Hive. [H2] User Mailing List The user list is for general discussion or questions on using Hive. Hive developers monitor this list and provide assistance when needed.Subscribe: user-subscribe@hive.apache.orgPost: user@hive.apache.orgUnsubscribe: user-unsubscribe@hive.apache.orgArchives: Apache [H2] Developer Mailing List The developer list is for Hive developers to discuss ongoing work, make decisions, and vote on technical issues.Subscribe: dev-subscribe@hive.apache.orgPost: dev@hive.apache.orgUnsubscribe: dev-unsubscribe@hive.apache.orgArchives: Apache [H2] Issues Mailing List The issues list receives all notifications from the JIRA issue tracker.Subscribe: issues-subscribe@hive.apache.orgPost: issues@hive.apache.orgUnsubscribe: issues-unsubscribe@hive.apache.orgArchives: Apache [H2] Commits Mailing List The commits list receives notifications with diffs when changes are committed to the Hive source tree.Subscribe: commits-subscribe@hive.apache.orgUnsubscribe: commits-unsubscribe@hive.apache.orgArchives: Apache [H2] Security Mailing List The security mailing list is a private list for discussion of potential security vulnerabilities issues. Please post potential security vulnerabilities to this list so that they may be investigated and fixed before the vulnerabilities is published.Note: This mailing list is NOT for end-user questions and discussion on security. Please use the user mailing list for such issues.The Hive security mailing list is : security@hive.apache.org.In order to post to the list, it is NOT necessary to first subscribe to it.
SUB-PAGE (https://hive.apache.org//docs/latest/) Documentation
[H1] REST Catalog Integration [H2] Table of Contents Hive + Gravitino + KeycloakArchitecture OverviewPrerequisitesQuickstartConfigurationKeyclockGravitinoHiveNetworking NotesHive + PolarisArchitecture OverviewPrerequisitesQuickstartConfigurationPolarisHiveNetworking Notes [H2] Hive + Gravitino + Keycloak The code for this setup is located in the Hive repository in packaging/src/docker/thirdparties/gravitino folder.It contains a docker-compose-based setup integrating Apache Hive, Gravitino Iceberg REST server, and Keycloak for OAuth2 authentication. It allows Hive to use an Iceberg REST catalog secured via Keycloak. [H3] Architecture Overview This diagram illustrates the key docker-compose components and their interactions in this setup: [H1] Apache Hive : ChangeLog [H2] Release 4.0.0 - 2024-03-29 [H3] NEW FEATURES: JIRASummaryPriorityComponentReporterContributorHIVE-27850Iceberg: Major QB CompactionMajorIceberg integrationDmitriy FingermanDmitriy FingermanHIVE-26222Native GeoSpatial Support in HiveMajorHive, HiveServer2mahesh kumar beheraAyush SaxenaHIVE-27980Hive Iceberg Compaction: add support for OPTIMIZE TABLE syntaxMajor.Dmitriy FingermanDmitriy FingermanHIVE-26435Add method for collecting HMS meta summaryMajor.Ruyi ZhengHongdan Zhu [H3] IMPROVEMENTS: JIRASummaryPriorityComponentReporterContributorHIVE-26666Filter out compactions by id to minimise expense of db operationsMajor.KIRTI RUGEKIRTI RUGEHIVE-27563Add typeof UDFMinorUDFJohn ShermanJohn ShermanHIVE-27575MASK_HASH UDF generate a log per rowMajorUDFShohei OkumiyaShohei OkumiyaHIVE-27396Use -strict argument for Thrift code generation to prevent compatibility issuesMajorBuild InfrastructureJoe McDonnellJoe McDonnellHIVE-27554Validate URL used by SSO workflow for JDBC connectionMinorJDBCHenri BiestroHenri BiestroHIVE-27516Add programatically added DAG scoped properties to DAG ConfigurationMajor.László BodorLászló BodorHIVE-27586Parse dates from strings ignoring trailing (potentialy) invalid charsMajorHiveServer2Stamatis ZampetakisStamatis ZampetakisHIVE-27578Refactor genJoinRelNode to use genAllRexNode instead of genAllExprNodeDescMajor.Soumyakanti DasSoumyakanti DasHIVE-27600Reduce filesystem calls in OrcFileMergeOperatorMinorHiveYi ZhangYi ZhangHIVE-25576Configurable datetime formatter for unix_timestamp, from_unixtimeMajor.Ashish SharmaStamatis ZampetakisHIVE-27585Upgrade kryo serialization lib to latest versionMinorSerializers/DeserializersSuprith ChandrashekharacharSuprith ChandrashekharacharHIVE-27595Improve efficiency in the filtering hooksMinorHiveServer2Naveen GangamHenri BiestroHIVE-27645Clean test cases by refactoring assertFalse(equals()) using assertNotEquals & @Test(excepted) using assertThrowsMinor.Taher GhalebTaher GhalebHIVE-27599ConvertAstToSearchArg improvement with output and typo in commentsMajorServer InfrastructurexyxyHIVE-27627Iceberg: Insert into/overwrite partition supportMajor.Sourabh BadhyaSourabh BadhyaHIVE-27525Ease the write permissions on external table during create table operationMajorStandalone MetastoreSai Hemanth GantasalaRiju TrivediHIVE-27665Change Filter Parser on HMS to allow backticksMajorStandalone MetastoreSteve CarlinSteve CarlinHIVE-27461HiveMetaStoreAuthorizer should log the root cause of checkPrivilegesMajorHiveWecharWecharHIVE-27661Auth mode inferred from the Authorization headerMajorHiveServer2Gergely FarkasGergely FarkasHIVE-27309Large number of partitions and small files causes OOM in query coordinatorMajorIceberg integrationRajesh BalamohanDmitriy FingermanHIVE-27656Upgrade jansi.version to 2.4.0Major.Simhadri GovindappaSimhadri GovindappaHIVE-27673Configurable datetime formatter for date_formatMajorHiveServer2Stamatis ZampetakisStamatis ZampetakisHIVE-27664AlterTableSetLocationAnalyzer threw a confusing exception “Cannot connect to namenode”Major.xiongyinkexiongyinkeHIVE-27564Add log for ZooKeeperTokenStoreMajor.lvyanquanlvyanquanHIVE-27694Include HiveIcebergSerDe in default list of serdes using HMSMinorStandalone MetastoreNaveen GangamNaveen GangamHIVE-27696Docker build from source should include iceberg profileMajor.Ayush SaxenaAyush SaxenaHIVE-21100Allow flattening of table subdirectories resulted when using TEZ engine and UNION clauseMajor.George PachitariuAyush SaxenaHIVE-27646Iceberg: Retry query when concurrent write queries fail due to conflicting writesMajor.Simhadri GovindappaSimhadri GovindappaHIVE-27672Iceberg: Truncate partition supportMajor.Sourabh BadhyaSourabh BadhyaHIVE-27729Iceberg: Check Iceberg type in AlterTableExecuteAnalyzerMajorIceberg integrationButao ZhangButao ZhangHIVE-27406CompactionTxnHandler cleanupMajorHiveLászló VéghLászló VéghHIVE-27752Remove DagUtils duplicate classMinor.László BodorAkshat MathurHIVE-27757Upgrade hadoop to 3.3.6Major.Ayush SaxenaAyush SaxenaHIVE-27723Prevent localizing the same original file more than once if symlinks are presentMajor.László BodorLászló BodorHIVE-27771Iceberg: Allow expire snapshot by time rangeMajor.Ayush SaxenaAyush SaxenaHIVE-27755Quote identifiers in SQL emitted by SchemaTool for MySQLMajorStandalone MetastoreStamatis ZampetakisStamatis ZampetakisHIVE-27793Iceberg: Support setting current snapshot with SnapshotRefMajorIceberg integrationButao ZhangButao ZhangHIVE-27799Bump org.apache.zookeeper:zookeeper from 3.7.1 to 3.7.2Major.Ayush SaxenaHIVE-27182tez_union_with_udf.q with TestMiniTezCliDriver is flakyMajor.Ayush SaxenaStamatis ZampetakisHIVE-27686Use ORC 1.8.5.Major.Zoltán RátkaiZoltán RátkaiHIVE-27802Simplify TestTezSessionState.testSymlinkedLocalFilesAreLocalizedOnceMajor.László BodorLászló BodorHIVE-27786Iceberg: Eliminate engine.hive.enabled table propertyMajor.Ayush SaxenaAyush SaxenaHIVE-27346Getting exception for wildcard (*) search for database and table nameMajor.Hongdan ZhuHongdan ZhuHIVE-27731Perform metadata delete when only static filters are presentMajor.Sourabh BadhyaSourabh BadhyaHIVE-27826Upgrade to Parquet 1.13.1MajorParquetButao ZhangButao ZhangHIVE-27780Implement direct SQL for get_all_functionsMajorStandalone MetastoreButao ZhangButao ZhangHIVE-27825Better error message for an empty quoted identifierMinorParserShohei OkumiyaShohei OkumiyaHIVE-24815Remove “IDXS” Table from Metastore SchemaMajorMetastore, Standalone MetastoreHunter LoganRiju TrivediHIVE-27779Iceberg: Drop partition supportMajor.Sourabh BadhyaSourabh BadhyaHIVE-27789Iceberg: Add a way to expire snapshots with retain lastMajor.Ayush SaxenaAyush SaxenaHIVE-27593Iceberg: Keep iceberg properties in sync with hms propertiesMajorIceberg integrationButao ZhangButao ZhangHIVE-27864Update plugin for SBOM generation to 2.7.10Major.Vinod AnandanVinod AnandanHIVE-27762Don’t fall back to jdo query in ObjectStore if direct sql throws unrecoverable exceptionMajorHiveWecharWecharHIVE-27819Iceberg: Upgrade iceberg version to 1.4.2MajorIceberg integrationButao ZhangButao ZhangHIVE-27869Iceberg: Select on HadoopTable fails at HiveIcebergStorageHandler#canProvideColStatsMajorIceberg integrationButao ZhangButao ZhangHIVE-27828Iceberg integration: enable copy on write update when split update is onMajorIceberg integrationKrisztian KasaKrisztian KasaHIVE-27877Bump org.apache.avro:avro from 1.11.1 to 1.11.3Major.Ayush SaxenaHIVE-27889Bump org.apache.santuario:xmlsec from 2.3.0 to 2.3.4Major.Ayush SaxenaHIVE-27871Fix some formatting problems is YarnQueueHelperMajor.László BodorMahesh Raju SomalarajuHIVE-27896Remove common-lang usageMajor.Cheng PanCheng PanHIVE-27906Iceberg: Implement Delete Orphan FilesMajor.Ayush SaxenaAyush SaxenaHIVE-27912Include Iceberg module in nightly buildsMajor.Butao ZhangButao ZhangHIVE-27903Iceberg: Implement Expire Snapshot with default table propertiesMajorHiveJK PasimuthuAyush SaxenaHIVE-27633HMS: MTable to Table process reduces view related SQLMinorMetastoredzcxzldzcxzlHIVE-26630Introduce copy-on-write DML implementations for Iceberg tablesMajor.Ádám SzitaDenys KuzmenkoHIVE-27918Iceberg: Push transforms for clustering during table writesMajor.Sourabh BadhyaSourabh BadhyaHIVE-27894Enhance HMS Handler Logs for all ‘get_partition’ functions.Major.Shivangi JhaShivangi JhaHIVE-27905Some GenericUDFs wrongly cast ObjectInspectorsMajor.Shohei OkumiyaShohei OkumiyaHIVE-27935Add qtest for Avro invalid schema and field namesMajor.Akshat MathurAkshat MathurHIVE-27856Change the default value of hive.optimize.cte.materialize.threshold to -1Major.Seonggon NamgungSeonggon NamgungHIVE-27936Disable flaky test testBootstrapAcidTablesDuringIncrementalWithConcurrentWritesMajorTesting InfrastructureButao ZhangButao ZhangHIVE-27803Bump org.apache.avro:avro from 1.11.1 to 1.11.3Major.Ayush SaxenaHIVE-27934Fix incorrect description about the execution framework in README.mdMinor.Butao ZhangButao ZhangHIVE-27690Handle casting NULL literal to complex typeMajor.Krisztian KasaKrisztian KasaHIVE-27919Constant reduction in CBO does not work for FROM_UNIXTIME, DATE_ADD, DATE_SUB, TO_UNIX_TIMESTAMPMajorCBOStamatis ZampetakisStamatis ZampetakisHIVE-23558Remove compute_stats UDAFMajorStatisticsJesús Camacho RodríguezButao ZhangHIVE-27961Beeline will print duplicate stats info when hive.tez.exec.print.summary is trueMinor.Butao ZhangButao ZhangHIVE-27530Implement direct SQL for alter partitions to improve performanceMajor.WecharWecharHIVE-27925HiveConf: unify ConfVars enum and use underscore for better readabilityMajor.László BodorKokila NHIVE-27969Add verbose logging for schematool and metastore service for Docker containerMajor.Akshat MathurAkshat MathurHIVE-27978Tests in hive-unit module are not running againMajor.László BodorLászló BodorHIVE-27911Drop database query failing with Invalid ACL ExceptionMajor.KIRTI RUGEKIRTI RUGEHIVE-27937Clarifying comments and xml configs around tez container sizeMajor.László BodorLászló BodorHIVE-27977Fix ordering flakiness in TestHplSqlViaBeeLineMajor.László BodorLászló BodorHIVE-27023Add setting to disable hive session being started during Hive Cli startupMinor.Alagappan MaruthappanAlagappan MaruthappanHIVE-27827Improve performance of direct SQL implement for getPartitionsByFilterMajor.WecharWecharHIVE-27994Optimize renaming the partitioned tableMajor.Zhihua DengZhihua DengHIVE-27979HMS alter_partitions log adds table nameMinorStandalone MetastoredzcxzldzcxzlHIVE-28008ParquetFileReader is not closed in ParquetHiveSerDe.readSchemaMinorHiveMichal LorekMichal LorekHIVE-27991Utilise FanoutWriters when inserting records in an Iceberg table when the records are unsortedMajor.Sourabh BadhyaSourabh BadhyaHIVE-27984Support backward compatibility of hms thrift struct about column statsMajorStandalone MetastoreButao ZhangButao ZhangHIVE-27481TxnHandler cleanupMajorHiveLászló VéghLászló VéghHIVE-28038Disable fallback to jdo for DeadlineExceptionMajorHiveWecharWecharHIVE-27958Refactor DirectSqlUpdatePart classMajorHiveWecharWecharHIVE-27992Upgrade to tez 0.10.3Major.László BodorLászló BodorHIVE-26445Use tez.local.mode.without.network for qtestsMajor.László BodorLászló BodorHIVE-27022Split removeDuplicateCompletedTxnComponents away from AcidHouseKeeper and onto a separate timerMajor.Jason PhelpsTaraka Rama Rao LethavadlaHIVE-28071Sync jetty version across modulesMinor.Raghav AggarwalRaghav AggarwalHIVE-28015Iceberg: Add identifier-field-ids support in HiveMajorIceberg integrationDenys KuzmenkoButao ZhangHIVE-28081Code refine on ClearDanglingScratchDir::removeLocalTmpFilesTrivial.Butao ZhangButao ZhangHIVE-28064Add cause to ParseException for diagnosability purposesMajorParserStamatis ZampetakisStamatis ZampetakisHIVE-28056Bump com.jayway.jsonpath:json-path from 2.8.0 to 2.9.0Major.László BodorLászló BodorHIVE-28078TestTxnDbUtil should generate csv files when we query the metastore databaseMajorStandalone MetastoreZsolt MiskolcziZsolt MiskolcziHIVE-27692Explore removing the always task from embedded HMSMajorStandalone MetastoreZhihua DengZhihua DengHIVE-27405Throw out the detail error Invalid partition name to the clientsMajorHiveServer2Taraka Rama Rao LethavadlaTaraka Rama Rao LethavadlaHIVE-27845Upgrade protobuf to 3.24.4 to fix CVEsMajor.Akshat MathurtanishqchughHIVE-28080Propagate statistics from a source table to the materialized CTEMajorQuery PlanningShohei OkumiyaShohei OkumiyaHIVE-28090correct desc of hive.metastore.disallow.incompatible.col.type.changesMajor.zzzzming95zzzzming95HIVE-28083Enable HMS client/query cache for EXPLAIN queriesMinorHiveSoumyakanti DasSoumyakanti DasHIVE-25972HIVE_VECTORIZATION_USE_ROW_DESERIALIZE in hiveconf.java imply default value is false,in fact the default value is ’true’MajorConfiguration, HivelklKokila NHIVE-28093Re-execute DAG in case of NoCurrentDAGExceptionMajor.László BodorLászló BodorHIVE-28051LLAP: cleanup local folders on startup and periodicallyMajor.László BodorLászló Bodor [H3] BUG FIXES: JIRASummaryPriorityComponentReporterContributorHIVE-26837CTLT with hive.create.as.external.legacy as true creates managed table instead of external tableMajorHiveServer2Ramesh Kumar ThangarajanRamesh Kumar ThangarajanHIVE-27562Iceberg: Fetching virtual columns failingMajor.Ayush SaxenaAyush SaxenaHIVE-27487NPE in Hive JDBC storage handlerMajorJDBC storage handlerZhihua DengZhihua DengHIVE-27582Do not cache HBase table input format in FetchOperatorMajor.Ganesha ShreedharaGanesha ShreedharaHIVE-27304Exclude CTAS condition while forming storage handler url permissions in HS2 authorizer.MajorHiveSai Hemanth GantasalaSai Hemanth GantasalaHIVE-24771Fix hang of TransactionalKafkaWriterTestMajor.Zoltan HaindrichKokila NHIVE-27631Fix CCE when set fs.hdfs.impl other than DistributedFileSystemMajorHiveBaolong MaoBaolong MaoHIVE-22961Drop function in Hive should not send request for drop database to Ranger plugin.MajorHiveSam AnRiju TrivediHIVE-27463Non-daemon thread prevents HMS from exiting when failed to start thrift serverMinor.Zhihua DengZhihua DengHIVE-27536Merge task must be invoked after optimisation for external CTAS queriesMajor.Sourabh BadhyaSourabh BadhyaHIVE-27566Fix some yarn cluster options for testsMajor.László BodorLászló BodorHIVE-27632ClassCast Exception in Vectorization converting decimal64 to decimalMajorVectorizationRiju TrivediStephen CarlinHIVE-27539Drop renamed external table fails when hive.metastore.try.direct.sql.ddl is disabledMajor.Venugopal Reddy KVenugopal Reddy KHIVE-21213Acid table bootstrap replication needs to handle directory created by compaction with txn idMajorHive, HiveServer2, replmahesh kumar beheramahesh kumar beheraHIVE-27667Fix get partitions with max_partsMajorMetastoreYuming WangYuming WangHIVE-27657Change hive.fetch.task.conversion.threshold default valueMajor.Mayank KunwarMayank KunwarHIVE-26961Fix improper replication metric count when hive.repl.filter.transactions is set to true.Major.Rakshith CRakshith CHIVE-27642StartMiniHS2Cluster fails to run due to missing JDBC driver with PostgresMajorHiveServer2Zoltán RátkaiZoltán RátkaiHIVE-27643Exclude compaction queries from ranger policiesCritical.László VéghLászló VéghHIVE-17350metrics errors when retrying HS2 startupMajor
🧭 Industry Context — common generic-claim patterns in Software, SaaS & Tech Products to weigh the text against
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