.\" Licensed to the Apache Software Foundation (ASF) under one or more .\" contributor license agreements. See the NOTICE file distributed with .\" this work for additional information regarding copyright ownership. .\" The ASF licenses this file to You under the Apache License, Version 2.0 .\" (the "License"); you may not use this file except in compliance with .\" the License. You may obtain a copy of the License at .\" .\" http://www.apache.org/licenses/LICENSE-2.0 .\" .\" Unless required by applicable law or agreed to in writing, software .\" distributed under the License is distributed on an "AS IS" BASIS, .\" WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. .\" See the License for the specific language governing permissions and .\" limitations under the License. .\" .\" Process this file with .\" groff -man -Tascii hive.1 .\" .TH hive 1 "October 2010 " Linux "User Manuals" .SH NAME Hive \- Data warehouse infrastructure built atop Hadoop. .SH SYNOPSIS .B hive [OPTIONS] --service \fISERVICE\fR [PARAMETERS] .SH DESCRIPTION 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. For more information about Hive, see http://hive.apache.org. \fISERVICE\fR may be one of the following: cli The Hive shell, the default service hiveserver Start the Hive server hwi Hive web interface jar Run a jar that uses Hadoop and Hive APIs lineage Output lineage info for a query metastore Start the Hive metastore To list available parameters for a service: .B hive --service \fISERVICE\fR --help .SH OPTIONS .IP "--auxpath" Auxillary jars .IP "--config" Hive configuration directory .IP "--service" Starts specific service/component. cli is default .IP "-hiveconf =" Sets Hive configuration property "x" equal to "y". .SH ENVIRONMENT .IP HIVE_OPT Extra Java runtime options. .IP HADOOP_HOME Optionally, the Hadoop home to run with. .IP HIVE_AUX_JARS_PATH Auxillary JARs, overridden by --auxpath command line argument. .IP HIVE_CONF_DIR Alternate location for Hive configuration directory. .SH COPYRIGHT Copyright (C) 2010 The Apache Software Foundation. All rights reserved.