AbdulMateen created HIVE-18655:
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Summary: Apache hive 2.1.1 on Apache Spark 2.0
Key: HIVE-18655
URL: https://issues.apache.org/jira/browse/HIVE-18655
Project: Hive
Issue Type: Bug
Components: Hive, HiveServer2, Spark
Affects Versions: 2.1.1
Environment: apache hive -2.1.1
apache spark - 2.0 - prebulit version (removed hive jars)
apache hadoop -2.8
Reporter: AbdulMateen
Hi when connecting my beeline in hive it is not able to create spark client
{{select count(*) from student; Query ID =
hadoop_20180208184224_f86b5aeb-f27b-4156-bd77-0aab54c0ec67 Total jobs = 1
Launching Job 1 out of 1 In order to change the average load for a reducer (in
bytes): set hive.exec.reducers.bytes.per.reducer=<number> In order to limit the
maximum number of reducers: set hive.exec.reducers.max=<number> In order to set
a constant number of reducers: set mapreduce.job.reduces=<number>}}
{{FAILED: Execution Error, return code 1 from
org.apache.hadoop.hive.ql.exec.spark.SparkTask Error: Error while processing
statement: FAILED: Execution Error, return code 1 from
org.apache.hadoop.hive.ql.exec.spark.SparkTask (state=08S01,code=1)}}{{}}
|Hi when connecting my beeline in hive it is not able to create spark client
{{select count(*) from student; Query ID =
hadoop_20180208184224_f86b5aeb-f27b-4156-bd77-0aab54c0ec67 Total jobs = 1
Launching Job 1 out of 1 In order to change the average load for a reducer (in
bytes): set hive.exec.reducers.bytes.per.reducer=<number> In order to limit the
maximum number of reducers: set hive.exec.reducers.max=<number> In order to set
a constant number of reducers: set mapreduce.job.reduces=<number> }}
Failed to execute spark task, with exception
'org.apache.hadoop.hive.ql.metadata.HiveException(Failed to create spark
client.)'
{{FAILED: Execution Error, return code 1 from
org.apache.hadoop.hive.ql.exec.spark.SparkTask Error: Error while processing
statement: FAILED: Execution Error, return code 1 from
org.apache.hadoop.hive.ql.exec.spark.SparkTask (state=08S01,code=1) }}
Installed spark prebuilt 2.0 one in standalone cluster mode
My hive-site.xml -- placed in spark/conf too and removed the hive jars in hdfs
path
{{<property> <name>spark.master</name> <value>yarn</value> <description>Spark
Master URL</description> </property> <property>
<name>spark.eventLog.enabled</name> <value>true</value> <description>Spark
Event Log</description> </property> <property> <name>spark.eventLog.dir</name>
<value>hdfs://xx.xxx.xx.xx:9000/user/spark/eventLogging</value>
<description>Spark event log folder</description> </property> <property>
<name>spark.executor.memory</name> <value>512m</value> <description>Spark
executor memory</description> </property> <property>
<name>spark.serializer</name>
<value>org.apache.spark.serializer.KryoSerializer</value> <description>Spark
serializer</description> </property> <property> <name>spark.yarn.jars</name>
<value>hdfs://xx.xxx.xx.xx:9000:/user/spark/spark-jars/*</value> </property>
<property> <name>spark.submit.deployMode</name> <value>cluster</value>
<description>Spark Master URL</description> </property }}
My yarn-site.xml
{{<property> <name>yarn.nodemanager.resource.memory-mb</name>
<value>40960</value> </property> <property>
<name>yarn.scheduler.minimum-allocation-mb</name> <value>2048</value>
</property> <property> <name>yarn.scheduler.maximum-allocation-mb</name>
<value>8192</value> </property>}}|
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