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Change-Id: Iab3786f113a5492f3aeac7480bfbfdb030cedf5b Reviewed-on: http://gerrit.cloudera.org:8080/5596 Reviewed-by: Jim Apple <jbapple-impala@apache.org> Tested-by: John Russell <jrussell@cloudera.com>
103 lines
3.6 KiB
XML
103 lines
3.6 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<!--
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Licensed to the Apache Software Foundation (ASF) under one
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or more contributor license agreements. See the NOTICE file
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distributed with this work for additional information
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regarding copyright ownership. The ASF licenses this file
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to you under the Apache License, Version 2.0 (the
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"License"); you may not use this file except in compliance
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with the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing,
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software distributed under the License is distributed on an
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"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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KIND, either express or implied. See the License for the
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specific language governing permissions and limitations
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under the License.
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-->
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<!DOCTYPE concept PUBLIC "-//OASIS//DTD DITA Concept//EN" "concept.dtd">
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<concept id="intro">
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<title id="impala"><ph audience="standalone">Introducing Apache Impala (incubating)</ph><ph audience="integrated">Apache Impala (incubating) Overview</ph></title>
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<prolog>
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<metadata>
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<data name="Category" value="Impala"/>
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<data name="Category" value="Getting Started"/>
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<data name="Category" value="Concepts"/>
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<data name="Category" value="Data Analysts"/>
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<data name="Category" value="Developers"/>
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</metadata>
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</prolog>
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<conbody id="intro_body">
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<p>
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Impala provides fast, interactive SQL queries directly on your Apache Hadoop data stored in HDFS,
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HBase, <ph rev="2.2.0">or the Amazon Simple Storage Service (S3)</ph>.
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In addition to using the same unified storage platform,
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Impala also uses the same metadata, SQL syntax (Hive SQL), ODBC driver, and user interface
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(Impala query UI in Hue) as Apache Hive. This
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provides a familiar and unified platform for real-time or batch-oriented queries.
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</p>
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<p>
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Impala is an addition to tools available for querying big data. Impala does not replace the batch
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processing frameworks built on MapReduce such as Hive. Hive and other frameworks built on MapReduce are
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best suited for long running batch jobs, such as those involving batch processing of Extract, Transform,
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and Load (ETL) type jobs.
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</p>
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<note>
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Impala was accepted into the Apache incubator on December 2, 2015.
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In places where the documentation formerly referred to <q>Cloudera Impala</q>,
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now the official name is <q>Apache Impala (incubating)</q>. As of January 2016,
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the Impala community is working on excising the Cloudera-specific documentation
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from this manual. While that is ongoing, there are still some outdated or
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off-topic parts of this manual.
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</note>
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</conbody>
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<concept id="benefits">
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<title>Impala Benefits</title>
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<conbody>
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<p conref="../shared/impala_common.xml#common/impala_benefits"/>
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</conbody>
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</concept>
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<concept id="impala_cdh">
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<title>How Impala Works with <keyword keyref="hadoop_distro"/></title>
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<prolog>
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<metadata>
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<data name="Category" value="Concepts"/>
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</metadata>
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</prolog>
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<conbody>
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<p audience="Cloudera" conref="../shared/impala_common.xml#common/impala_overview_diagram"/>
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<p conref="../shared/impala_common.xml#common/component_list"/>
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<p conref="../shared/impala_common.xml#common/query_overview"/>
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</conbody>
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</concept>
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<concept id="features">
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<title>Primary Impala Features</title>
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<conbody>
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<p conref="../shared/impala_common.xml#common/feature_list"/>
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</conbody>
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</concept>
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</concept>
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