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Mirror of Apache Hive
Java PHP Perl Python Shell PLpgSQL Other
Branch: master

HIVE-11600 : Hive Parser to Support multi col in clause (x,y..) in ((…

…..),..., ()) (Pengcheng Xiong, reviewed by Laljo John Pullokkaran)
Failed to load latest commit information.
accumulo-handler HIVE-11304: Migrate to Log4j2 from Log4j 1.x (Prasanth Jayachandran r…
ant HIVE-11103 Add banker's rounding BROUND UDF (Alexander Pivovarov, rev…
beeline HIVE-11450 : Resources are not cleaned up properly at multiple places…
bin HIVE-11304: Migrate to Log4j2 from Log4j 1.x (Prasanth Jayachandran r…
checkstyle HIVE-6123 : Implement checkstyle in maven (Lars Francke via Ashutosh …
cli HIVE-11077 Add support in parser and wire up to txn manager (Eugene K…
common HIVE-11573: PointLookupOptimizer can be pessimistic at a low nDV (Gop…
conf HIVE-9664. Hive 'add jar' command should be able to download and add …
contrib HIVE-10173 : ThreadLocal synchronized initialvalue() is irrelevant in…
data HIVE-11700: exception in logs in Tez test with new logger (Prasanth J…
dev-support HIVE-10943 Beeline-cli: Enable precommit for beelie-cli branch(Ferdin…
docs HIVE-11304: Migrate to Log4j2 from Log4j 1.x (Prasanth Jayachandran r…
findbugs HIVE-3099. add findbugs in build.xml (Ransom Hezhiqiang via egc)
hbase-handler HIVE-5277: HBase handler skips rows with null valued first cells when…
hcatalog HIVE-11317 - ACID: Improve transaction Abort logic due to timeout (Eu…
hplsql HIVE-11536 follow up, seems earlier commit had strange line endings
hwi HIVE-10921 : Change trunk pom version to reflect the branch-1 split (…
itests HIVE-11521 : Loop optimization for SIMD in logical operators (Teddy C…
jdbc HIVE-11581: HiveServer2 should store connection params in ZK when usi…
lib HIVE-2761: Remove lib/javaewah-0.3.jar (ecapriolo via hashutosh)
metastore HIVE-11657 : HIVE-2573 introduces some issues during metastore init (…
odbc HIVE-10921 : Change trunk pom version to reflect the branch-1 split (…
packaging HIVE-11304: Migrate to Log4j2 from Log4j 1.x (Prasanth Jayachandran r…
ql HIVE-11600 : Hive Parser to Support multi col in clause (x,y..) in ((…
serde HIVE-11469 : Update doc for InstanceCache to clearly define the contr…
service HIVE-11581: HiveServer2 should store connection params in ZK when usi…
shims HIVE-11472: ORC StringDirectTreeReader is thrashing the GC due to byt…
spark-client HIVE-11549: Hide Hive configuration from spark driver launching proce…
storage-api HIVE-11618: Correct the SARG api to reunify the PredicateLeaf.Type IN…
testutils HIVE-11571: Fix Hive PTest2 logging configuration (Gopal V reviewed b…
.arcconfig HIVE-2588 [jira] Update arcconfig to include commit listener
.checkstyle HIVE-2930 [jira] Add license to the Hive files
.gitattributes HIVE-7023 : Bucket mapjoin is broken when the number of small aliases…
.gitignore HIVE-10165 Improve hive-hcatalog-streaming extensibility and support …
.reviewboardrc Preparing for 1.3.0 development
LICENSE HIVE-9302: Beeline add commands to register local jdbc driver names a…
NOTICE Updating release notes to reflect 1.2.1
README.txt HIVE-10676 : Update Hive's README to mention spark, and to remove jdk…
RELEASE_NOTES.txt Updating release notes to reflect 1.2.1
errata.txt Added HIVE-11536 to errata
pom.xml HIVE-11383: Upgrade Hive to Calcite 1.4 (Jesus Camacho Rodriguez, rev…

README.txt

Apache Hive (TM) @VERSION@
======================

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

* Tools to enable easy data extract/transform/load (ETL)

* 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 implements a dialect of SQL (Hive QL) that focuses on analytics
and presents a rich set of SQL semantics including OLAP functions,
subqueries, common table expressions and more. Hive allows SQL
developers or users with SQL tools to easily query, analyze and
process data stored in Hadoop.
Hive also allows programmers familiar with the MapReduce framework
to plug in their custom mappers and reducers to perform more
sophisticated analysis that may not be supported by the built-in
capabilities of the language. QL can also be extended with custom
scalar functions (UDF's), aggregations (UDAF's), and table
functions (UDTF's).

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 and does
not support row level insert/updates. It is best used for batch
jobs over large sets of immutable data (like web logs). What
Hive values most are scalability (scale out with more machines
added dynamically to the Hadoop cluster), extensibility (with
MapReduce framework and UDF/UDAF/UDTF), 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
===============

- Installation Instructions and a quick tutorial:
  https://cwiki.apache.org/confluence/display/Hive/GettingStarted

- A longer tutorial that covers more features of HiveQL:
  https://cwiki.apache.org/confluence/display/Hive/Tutorial

- The HiveQL Language Manual:
  https://cwiki.apache.org/confluence/display/Hive/LanguageManual


Requirements
============

- Java 1.7

- Hadoop 1.x, 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
  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.
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