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accumulo-handler HIVE-20850: Push case conditional from projections to dimension table… Nov 12, 2018
beeline HIVE-20507: Beeline: Add a utility command to retrieve all uris from … Sep 20, 2018
bin HIVE-20807 : Refactor LlapStatusServiceDriver (Miklos Gergely via Ser… Nov 12, 2018
binary-package-licenses HIVE-18037 : Migrate Slider LLAP package to YARN Service framework fo… Apr 30, 2018
checkstyle HIVE-18222: Update checkstyle rules to be less peeky (Zoltan Haindric… Jan 19, 2018
classification HIVE-19659: update master to version 4.0 (Vineet Garg, reviewed by As… May 22, 2018
cli HIVE-12254: Improve logging with yarn/hdfs (Aihua Xu via Peter Vary) Oct 15, 2018
common HIVE-20918: Flag to enable/disable pushdown of computation from Calci… Nov 16, 2018
conf HIVE-15622 : Remove HWI component from Hive (Wei Zheng, reviewed by A… Jan 20, 2017
contrib HIVE-20619: Include MultiDelimitSerDe in HiveServer2 By Default (Alic… Oct 1, 2018
core/src/test/java/org/apache/hive/hcatalog HIVE-18586: Upgrade Derby to 10.14.1.0 (Janaki Lahorani, reviewed by … Feb 13, 2018
data HIVE-19026: Add support for more ingestion formats - Druid Kafka Inde… Nov 14, 2018
dev-support HIVE-20191: PreCommit patch application doesn't fail if patch is empt… Aug 27, 2018
docs/images HIVE-14671 : merge master into hive-14535 (Wei Zheng) May 5, 2017
druid-handler HIVE-19026: Add support for more ingestion formats - Druid Kafka Inde… Nov 14, 2018
findbugs HIVE-3099. add findbugs in build.xml (Ransom Hezhiqiang via egc) Jun 10, 2012
hbase-handler HIVE-20850: Push case conditional from projections to dimension table… Nov 12, 2018
hcatalog HIVE-20638 : Upgrade version of Jetty to 9.3.25.v20180904 (Laszlo Bod… Oct 26, 2018
hplsql HIVE-19659: update master to version 4.0 (Vineet Garg, reviewed by As… May 22, 2018
itests HIVE-20916 : Fix typo in JSONCreateDatabaseMessage and add test for a… Nov 16, 2018
jdbc-handler HIVE-20937: Postgres jdbc query fail with "LIMIT must not be negative… Nov 19, 2018
jdbc HIVE-20621: GetOperationStatus called in resultset.next causing incre… Sep 23, 2018
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kryo-registrator HIVE-20032: Don't serialize hashCode for repartitionAndSortWithinPart… Jul 27, 2018
lib HIVE-2761: Remove lib/javaewah-0.3.jar (ecapriolo via hashutosh) Feb 25, 2012
llap-client HIVE-20853 : Expose ShuffleHandler.registerDag in the llap daemon API… Nov 9, 2018
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llap-ext-client HIVE-19524 : pom.xml typo: "commmons-logging" groupId (Laszlo Bodor v… May 30, 2018
llap-server HIVE-20807 : Refactor LlapStatusServiceDriver (Miklos Gergely via Ser… Nov 12, 2018
llap-tez HIVE-20853 : Expose ShuffleHandler.registerDag in the llap daemon API… Nov 9, 2018
metastore HIVE-20653: Schema change in HIVE-19166 should also go to hive-schema… Oct 30, 2018
packaging HIVE-20786 - Maven Build Failed with group id is too big (Szehon, rev… Nov 15, 2018
ql HIVE-20920: Use SQL constraints to improve join reordering algorithm … Nov 19, 2018
serde HIVE-20792: Inserting timestamp with zones truncates the data (Jaume … Oct 28, 2018
service-rpc HIVE-20544: TOpenSessionReq logs password and username (Karen Coppage… Oct 4, 2018
service HIVE-20676 : HiveServer2: PrivilegeSynchronizer is not set to daemon … Nov 13, 2018
shims HIVE-12254: Improve logging with yarn/hdfs (Aihua Xu via Peter Vary) Oct 15, 2018
spark-client HIVE-20488: SparkSubmitSparkClient#launchDriver should parse exceptio… Oct 18, 2018
standalone-metastore HIVE-20904: Yetus fails to resolve module dependencies due to usage o… Nov 19, 2018
storage-api HIVE-20926: Semi join reduction hint fails when bloom filter entries … Nov 16, 2018
streaming HIVE-20701: Allow HiveStreaming to receive a key value to commit atom… Oct 22, 2018
testutils HIVE-20679: DDL operations on hive might create large messages for DB… Oct 22, 2018
upgrade-acid HIVE-19800 Create separate submodules for pre and post upgrade and ad… Aug 11, 2018
vector-code-gen HIVE-20245: Vectorization: Fix NULL / Wrong Results issues in BETWEEN… Jul 31, 2018
.arcconfig HIVE-2588 [jira] Update arcconfig to include commit listener Nov 17, 2011
.checkstyle HIVE-2930 [jira] Add license to the Hive files Apr 17, 2012
.gitattributes HIVE-7023 : Bucket mapjoin is broken when the number of small aliases… May 9, 2014
.gitignore HIVE-20188 : Split server-specific code outside of standalone metasto… Jul 19, 2018
.reviewboardrc HIVE-13642: Update GUESS_FIELDS option in .reviewboardrc to support c… May 10, 2016
.travis.yml HIVE-19080: Fix travis build (addendum) Mar 29, 2018
LICENSE HIVE-3333: This is just a test Jun 14, 2017
NOTICE HIVE-19134: Update copyright NOTICE and fix rat check failures (Vinee… Apr 9, 2018
README.md HIVE-19561: Update README.md to update requirements for Hadoop and RE… May 15, 2018
RELEASE_NOTES.txt Updated Release notes for 3.1.0 Jul 18, 2018
errata.txt HIVE-19826: update errata.txt Jun 15, 2018
pom.xml HIVE-20786 - Maven Build Failed with group id is too big (Szehon, rev… Nov 15, 2018

README.md

Apache Hive (TM)

Master Build Status Maven Central

The Apache Hive (TM) data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Built on top of Apache Hadoop (TM), it provides:

  • Tools to enable easy access to data via SQL, thus enabling data warehousing tasks such as extract/transform/load (ETL), reporting, and data analysis

  • A mechanism to impose structure on a variety of data formats

  • Access to files stored either directly in Apache HDFS (TM) or in other data storage systems such as Apache HBase (TM)

  • Query execution using Apache Hadoop MapReduce, Apache Tez or Apache Spark frameworks.

Hive provides standard SQL functionality, including many of the later 2003 and 2011 features for analytics. These include OLAP functions, subqueries, common table expressions, and more. Hive's SQL can also be extended with user code via user defined functions (UDFs), user defined aggregates (UDAFs), and user defined table functions (UDTFs).

Hive users have a choice of 3 runtimes when executing SQL queries. Users can choose between Apache Hadoop MapReduce, Apache Tez or Apache Spark frameworks as their execution backend. MapReduce is a mature framework that is proven at large scales. However, MapReduce is a purely batch framework, and queries using it may experience higher latencies (tens of seconds), even over small datasets. Apache Tez is designed for interactive query, and has substantially reduced overheads versus MapReduce. Apache Spark is a cluster computing framework that's built outside of MapReduce, but on top of HDFS, with a notion of composable and transformable distributed collection of items called Resilient Distributed Dataset (RDD) which allows processing and analysis without traditional intermediate stages that MapReduce introduces.

Users are free to switch back and forth between these frameworks at any time. In each case, Hive is best suited for use cases where the amount of data processed is large enough to require a distributed system.

Hive is not designed for online transaction processing. It is best used for traditional data warehousing tasks. Hive is designed to maximize scalability (scale out with more machines added dynamically to the Hadoop cluster), performance, extensibility, fault-tolerance, and loose-coupling with its input formats.

General Info

For the latest information about Hive, please visit out website at:

http://hive.apache.org/

Getting Started

Requirements

  • Java 1.7 or 1.8

  • Hadoop 1.x, 2.x, 3.x (3.x required for Hive 3.x)

Upgrading from older versions of Hive

  • Hive includes changes to the MetaStore schema. If you are upgrading from an earlier version of Hive it is imperative that you upgrade the MetaStore schema by running the appropriate schema upgrade scripts located in the scripts/metastore/upgrade directory.

  • We have provided upgrade scripts for MySQL, PostgreSQL, Oracle, Microsoft SQL Server, and Derby databases. If you are using a different database for your MetaStore you will need to provide your own upgrade script.

Useful mailing lists

  1. user@hive.apache.org - To discuss and ask usage questions. Send an empty email to user-subscribe@hive.apache.org in order to subscribe to this mailing list.

  2. dev@hive.apache.org - For discussions about code, design and features. Send an empty email to dev-subscribe@hive.apache.org in order to subscribe to this mailing list.

  3. commits@hive.apache.org - In order to monitor commits to the source repository. Send an empty email to commits-subscribe@hive.apache.org in order to subscribe to this mailing list.