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--><configuration>
<!-- WARNING!!! This file is auto generated for documentation purposes ONLY! -->
<!-- WARNING!!! Any changes you make to this file will be ignored by Hive. -->
<!-- WARNING!!! You must make your changes in hive-site.xml instead. -->
<!-- Hive Execution Parameters -->
<property>
<name>hive.exec.script.wrapper</name>
<value/>
<description/>
</property>
<property>
<name>hive.exec.plan</name>
<value/>
<description/>
</property>
<property>
<name>hive.exec.stagingdir</name>
<value>.hive-staging</value>
<description>Directory name that will be created inside table locations in order to support HDFS encryption. This is replaces ${hive.exec.scratchdir} for query results with the exception of read-only tables. In all cases ${hive.exec.scratchdir} is still used for other temporary files, such as job plans.</description>
</property>
<property>
<name>hive.exec.scratchdir</name>
<value>/tmp/hive</value>
<description>HDFS root scratch dir for Hive jobs which gets created with write all (733) permission. For each connecting user, an HDFS scratch dir: ${hive.exec.scratchdir}/<username> is created, with ${hive.scratch.dir.permission}.</description>
</property>
<property>
<name>hive.exec.local.scratchdir</name>
<value>${system:java.io.tmpdir}/${system:user.name}</value>
<description>Local scratch space for Hive jobs</description>
</property>
<property>
<name>hive.downloaded.resources.dir</name>
<value>${system:java.io.tmpdir}/${hive.session.id}_resources</value>
<description>Temporary local directory for added resources in the remote file system.</description>
</property>
<property>
<name>hive.scratch.dir.permission</name>
<value>700</value>
<description>The permission for the user specific scratch directories that get created.</description>
</property>
<property>
<name>hive.exec.submitviachild</name>
<value>false</value>
<description/>
</property>
<property>
<name>hive.exec.submit.local.task.via.child</name>
<value>true</value>
<description>
Determines whether local tasks (typically mapjoin hashtable generation phase) runs in
separate JVM (true recommended) or not.
Avoids the overhead of spawning new JVM, but can lead to out-of-memory issues.
</description>
</property>
<property>
<name>hive.exec.script.maxerrsize</name>
<value>100000</value>
<description>
Maximum number of bytes a script is allowed to emit to standard error (per map-reduce task).
This prevents runaway scripts from filling logs partitions to capacity
</description>
</property>
<property>
<name>hive.exec.script.allow.partial.consumption</name>
<value>false</value>
<description>
When enabled, this option allows a user script to exit successfully without consuming
all the data from the standard input.
</description>
</property>
<property>
<name>stream.stderr.reporter.prefix</name>
<value>reporter:</value>
<description>Streaming jobs that log to standard error with this prefix can log counter or status information.</description>
</property>
<property>
<name>stream.stderr.reporter.enabled</name>
<value>true</value>
<description>Enable consumption of status and counter messages for streaming jobs.</description>
</property>
<property>
<name>hive.exec.compress.output</name>
<value>false</value>
<description>
This controls whether the final outputs of a query (to a local/HDFS file or a Hive table) is compressed.
The compression codec and other options are determined from Hadoop config variables mapred.output.compress*
</description>
</property>
<property>
<name>hive.exec.compress.intermediate</name>
<value>false</value>
<description>
This controls whether intermediate files produced by Hive between multiple map-reduce jobs are compressed.
The compression codec and other options are determined from Hadoop config variables mapred.output.compress*
</description>
</property>
<property>
<name>hive.intermediate.compression.codec</name>
<value/>
<description/>
</property>
<property>
<name>hive.intermediate.compression.type</name>
<value/>
<description/>
</property>
<property>
<name>hive.exec.reducers.bytes.per.reducer</name>
<value>256000000</value>
<description>size per reducer.The default is 256Mb, i.e if the input size is 1G, it will use 4 reducers.</description>
</property>
<property>
<name>hive.exec.reducers.max</name>
<value>1009</value>
<description>
max number of reducers will be used. If the one specified in the configuration parameter mapred.reduce.tasks is
negative, Hive will use this one as the max number of reducers when automatically determine number of reducers.
</description>
</property>
<property>
<name>hive.exec.pre.hooks</name>
<value/>
<description>
Comma-separated list of pre-execution hooks to be invoked for each statement.
A pre-execution hook is specified as the name of a Java class which implements the
org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface.
</description>
</property>
<property>
<name>hive.exec.post.hooks</name>
<value/>
<description>
Comma-separated list of post-execution hooks to be invoked for each statement.
A post-execution hook is specified as the name of a Java class which implements the
org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface.
</description>
</property>
<property>
<name>hive.exec.failure.hooks</name>
<value/>
<description>
Comma-separated list of on-failure hooks to be invoked for each statement.
An on-failure hook is specified as the name of Java class which implements the
org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface.
</description>
</property>
<property>
<name>hive.exec.query.redactor.hooks</name>
<value/>
<description>
Comma-separated list of hooks to be invoked for each query which can
tranform the query before it's placed in the job.xml file. Must be a Java class which
extends from the org.apache.hadoop.hive.ql.hooks.Redactor abstract class.
</description>
</property>
<property>
<name>hive.client.stats.publishers</name>
<value/>
<description>
Comma-separated list of statistics publishers to be invoked on counters on each job.
A client stats publisher is specified as the name of a Java class which implements the
org.apache.hadoop.hive.ql.stats.ClientStatsPublisher interface.
</description>
</property>
<property>
<name>hive.exec.parallel</name>
<value>false</value>
<description>Whether to execute jobs in parallel</description>
</property>
<property>
<name>hive.exec.parallel.thread.number</name>
<value>8</value>
<description>How many jobs at most
