Mirror of Apache Hive
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Latest commit 9eb070a Jul 23, 2016 @sidseth sidseth HIVE-14225. Llap slider package should support configuring YARN rolli…
…ng log aggregation. (Siddharth Seth, reviewed by Prasanth Jayachandran)
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accumulo-handler HIVE-13831: Error pushing predicates to HBase storage handler (Jesus … May 31, 2016
ant HIVE-13338: Differences in vectorized_casts.q output for vectorized a… May 27, 2016
beeline HIVE-14135: beeline output not formatted correctly for large column w… Jul 18, 2016
bin HIVE-14223: beeline should look for jdbc standalone jar in dist/jdbc … Jul 13, 2016
checkstyle HIVE-6123 : Implement checkstyle in maven (Lars Francke via Ashutosh … Sep 1, 2014
cli Preparing for 2.2.0 development May 25, 2016
common HIVE-14225. Llap slider package should support configuring YARN rolli… Jul 23, 2016
conf HIVE-13798: Fix the unit test failure org.apache.hadoop.hive.cli.Test… Jun 1, 2016
contrib HIVE-13945 : Decimal value is displayed as rounded when selecting whe… Jul 7, 2016
data HIVE-14221: Support masking and filtering of rows/columns: set SQLStd… Jul 19, 2016
dev-support HIVE-14148: Add branch-2.1 branch to pre-commit tests (Sergio Pena, r… Jul 2, 2016
docs HIVE-12020: Revert log4j2 xml configuration to properties based confi… Dec 2, 2015
findbugs HIVE-3099. add findbugs in build.xml (Ransom Hezhiqiang via egc) Jun 10, 2012
hbase-handler HIVE-14028: Insert overwrite does not work in HBase tables: stats is … Jun 23, 2016
hcatalog HIVE-14291: count(*) on a table written by hcatstorer returns incorre… Jul 22, 2016
hplsql HIVE-13540: Casts to numeric types don't seem to work in hplsql (Dmit… Jun 3, 2016
hwi HIVE-13919. Remove test TestHWISessionManager. (Siddharth Seth, revie… Jun 2, 2016
itests HIVE-14268 : INSERT-OVERWRITE is not generating an INSERT event durin… Jul 22, 2016
jdbc HIVE-14191: bump a new api version for ThriftJDBCBinarySerde changes … Jul 14, 2016
lib HIVE-2761: Remove lib/javaewah-0.3.jar (ecapriolo via hashutosh) Feb 25, 2012
llap-client HIVE-14180: Disable LlapZookeeperRegistry ZK auth setup for external … Jul 14, 2016
llap-common HIVE-14225. Llap slider package should support configuring YARN rolli… Jul 23, 2016
llap-ext-client HIVE-14078: LLAP input split should get task attempt number from conf… Jun 30, 2016
llap-server HIVE-14225. Llap slider package should support configuring YARN rolli… Jul 23, 2016
llap-tez HIVE-14225. Llap slider package should support configuring YARN rolli… Jul 23, 2016
metastore HIVE-14295: Some metastore event listeners always initialize deleteDa… Jul 22, 2016
orc HIVE-14242. Backport of ORC-53, which modifies ORC's TypeDescription to Jul 20, 2016
packaging HIVE-13955: Include service-rpc and llap-ext-client in packaging file… Jun 8, 2016
ql HIVE-14263 : Log message when HS2 query is waiting on compile lock (T… Jul 23, 2016
serde HIVE-14196: Disable LLAP IO when complex types are involved (Prasanth… Jul 13, 2016
service-rpc HIVE-14191: bump a new api version for ThriftJDBCBinarySerde changes … Jul 14, 2016
service HIVE-14267: HS2 open_operations metrics not decremented when an opera… Jul 22, 2016
shims HIVE-14230: Hadoop23Shims.cloneUgi() doesn't add credentials from ori… Jul 14, 2016
spark-client Preparing for 2.2.0 development May 25, 2016
storage-api HIVE-13906. Remove guava from compile time dependence in the storage-api Jul 19, 2016
testutils HIVE-13763 : Update smart-apply-patch.sh with ability to use patches … Jul 10, 2016
.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-10165 Improve hive-hcatalog-streaming extensibility and support … Jun 30, 2015
.reviewboardrc HIVE-13642: Update GUESS_FIELDS option in .reviewboardrc to support c… May 10, 2016
LICENSE HIVE-13467: Show llap info on hs2 ui when available (Gunther Hagleitn… Apr 22, 2016
README.txt HIVE-13681 Update README with latest Hive functionality (Alan Gates r… May 13, 2016
errata.txt Update errata.txt for HIVE-14182 Jul 7, 2016
pom.xml HIVE-14224. LLAP: Rename query specific log files when a query comple… Jul 20, 2016


Apache Hive (TM) @VERSION@

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:


Getting Started

- Installation Instructions and a quick tutorial:

- A longer tutorial that covers more features of HiveQL:

- The HiveQL Language Manual:


- Java 1.7 or 1.8

- Hadoop 1.x, 2.x (2.x required for Hive 2.x)

Upgrading from older versions of Hive

- Hive @VERSION@ 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

- 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.