[jira] [Resolved] (HIVE-18655) Apache hive 2.1.1 on Apache Spark 2.0

["Shohei Okumiya (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HIVE-18655?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Shohei Okumiya resolved HIVE-18655.
-----------------------------------
    Fix Version/s: NA
       Resolution: Won't Fix

We have discontinued Hive on Spark and EoLed Hive 3. HIVE-26134

> 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
>            Priority: Blocker
>             Fix For: NA
>
>
>  
> |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 {color:#FF0000}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) }{color}
> }
>   
>   
>  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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