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A number of 'CDH' by itself were turned into substitution variables resolving to 'Apache Hadoop'. Also fixed some stray instances of CDH version numbers. In some cases, 'CDH' or 'CDH 5' by itself was superfluous and was just removed. Change-Id: I979ea73ccaa5873d4108545f18f598072fb5e05f Reviewed-on: http://gerrit.cloudera.org:8080/6352 Reviewed-by: John Russell <jrussell@cloudera.com> Tested-by: Impala Public Jenkins
107 lines
4.8 KiB
XML
107 lines
4.8 KiB
XML
<?xml version="1.0" encoding="UTF-8"?><!--
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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 rev="5.4.3" id="impala_isilon">
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<title>Using Impala with Isilon Storage</title>
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<titlealts audience="PDF"><navtitle>Isilon Storage</navtitle></titlealts>
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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="Isilon"/>
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<data name="Category" value="Disk Storage"/>
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<data name="Category" value="Administrators"/>
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<data name="Category" value="Developers"/>
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<data name="Category" value="Data Analysts"/>
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</metadata>
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</prolog>
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<conbody>
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<p>
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<indexterm audience="hidden">Isilon</indexterm>
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You can use Impala to query data files that reside on EMC Isilon storage devices, rather than in HDFS.
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This capability allows convenient query access to a storage system where you might already be
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managing large volumes of data. The combination of the Impala query engine and Isilon storage is
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certified on <keyword keyref="impala224"/> or higher.
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</p>
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<p conref="../shared/impala_common.xml#common/isilon_block_size_caveat"/>
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<p>
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The typical use case for Impala and Isilon together is to use Isilon for the
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default filesystem, replacing HDFS entirely. In this configuration,
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when you create a database, table, or partition, the data always resides on
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Isilon storage and you do not need to specify any special <codeph>LOCATION</codeph>
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attribute. If you do specify a <codeph>LOCATION</codeph> attribute, its value refers
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to a path within the Isilon filesystem.
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For example:
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</p>
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<codeblock>-- If the default filesystem is Isilon, all Impala data resides there
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-- and all Impala databases and tables are located there.
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CREATE TABLE t1 (x INT, s STRING);
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-- You can specify LOCATION for database, table, or partition,
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-- using values from the Isilon filesystem.
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CREATE DATABASE d1 LOCATION '/some/path/on/isilon/server/d1.db';
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CREATE TABLE d1.t2 (a TINYINT, b BOOLEAN);
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</codeblock>
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<p>
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Impala can write to, delete, and rename data files and database, table,
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and partition directories on Isilon storage. Therefore, Impala statements such
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as
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<codeph>CREATE TABLE</codeph>, <codeph>DROP TABLE</codeph>,
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<codeph>CREATE DATABASE</codeph>, <codeph>DROP DATABASE</codeph>,
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<codeph>ALTER TABLE</codeph>,
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and
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<codeph>INSERT</codeph> work the same with Isilon storage as with HDFS.
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</p>
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<p>
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When the Impala spill-to-disk feature is activated by a query that approaches
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the memory limit, Impala writes all the temporary data to a local (not Isilon)
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storage device. Because the I/O bandwidth for the temporary data depends on
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the number of local disks, and clusters using Isilon storage might not have
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as many local disks attached, pay special attention on Isilon-enabled clusters
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to any queries that use the spill-to-disk feature. Where practical, tune the
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queries or allocate extra memory for Impala to avoid spilling.
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Although you can specify an Isilon storage device as the destination for
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the temporary data for the spill-to-disk feature, that configuration is
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not recommended due to the need to transfer the data both ways using remote I/O.
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</p>
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<p>
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When tuning Impala queries on HDFS, you typically try to avoid any remote reads.
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When the data resides on Isilon storage, all the I/O consists of remote reads.
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Do not be alarmed when you see non-zero numbers for remote read measurements
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in query profile output. The benefit of the Impala and Isilon integration is
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primarily convenience of not having to move or copy large volumes of data to HDFS,
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rather than raw query performance. You can increase the performance of Impala
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I/O for Isilon systems by increasing the value for the
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<codeph>--num_remote_hdfs_io_threads</codeph> startup option for the
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<cmdname>impalad</cmdname> daemon.
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</p>
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<!-- <p outputclass="toc inpage"/> -->
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</conbody>
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</concept>
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