Apache Hive @VERSION@
=================

Hive is a data warehouse system for Hadoop that facilitates
easy data summarization, ad-hoc querying and analysis of large
datasets stored in Hadoop compatible file systems. Hive provides a
mechanism to put structure on this data and query the data using a
SQL-like language called HiveQL. At the same time this language also
allows traditional map/reduce programmers to plug in their custom
mappers and reducers when it is inconvenient or inefficient to express
this logic in HiveQL.

Please note that Hadoop is a batch processing system and Hadoop jobs
tend to have high latency and incur substantial overheads in job
submission and scheduling. Consequently the average latency for Hive
queries is generally very high (minutes) even when data sets involved
are very small (say a few hundred megabytes). As a result it cannot be
compared with systems such as Oracle where analyses are conducted on a
significantly smaller amount of data but the analyses proceed much
more iteratively with the response times between iterations being less
than a few minutes. Hive aims to provide acceptable (but not optimal)
latency for interactive data browsing, queries over small data sets or
test queries.

Hive is not designed for online transaction processing and does not
support real-time queries or 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:
  http://wiki.apache.org/hadoop/Hive/GettingStarted

- A longer tutorial that covers more features of HiveQL:
  http://wiki.apache.org/hadoop/Hive/Tutorial

- The HiveQL Language Manual:
  http://wiki.apache.org/hadoop/Hive/LanguageManual


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

- Java 1.6

- Hadoop 0.20.x (x >= 1)


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 Derby and MySQL databases. If
  you are using a different database for your MetaStore you will need
  to provide your own upgrade script.

- Hive @VERSION@ includes new configuration properties. If you
  are upgrading from an earlier version of Hive it is imperative
  that you replace all of the old copies of the hive-default.xml
  configuration file with the new version located in the conf/
  directory.


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====================

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