http://apache-carbondata-dev-mailing-list-archive.168.s1.nabble.com/load-data-fail-tp100p167.html
> hi jinzhu,
>
> whether this happen on multiple instance loading the same table?
>
> currently ,it is no support concurrent load on same table.
>
> for this exception
>
> 1.please check if any locks are created under system temp folder
> with<databasename>/<tablename>/lockfile, if it exists please delete.
>
> 2.try to change the lock ype:
> carbon.lock.type = ZOOKEEPERLOCK Regards,
> Eason
>
> 在 2016年08月12日 14:25, 金铸 写道:
>> hi ： /usr/hdp/2.4.0.0-169/spark/bin/spark-shell --master yarn-client
>> --jars
>> /opt/incubator-carbondata/assembly/target/scala-2.10/carbondata_2.10-0.1.0-incubating-SNAPSHOT-shade-hadoop2.2.0.jar,/usr/hdp/2.4.0.0-169/spark/lib/datanucleus-api-jdo-3.2.6.jar,/usr/hdp/2.4.0.0-169/spark/lib/datanucleus-rdbms-3.2.9.jar,/usr/hdp/2.4.0.0-169/spark/lib/datanucleus-core-3.2.10.jar,/opt//mysql-connector-java-5.1.37.jar
>> scala>import org.apache.spark.sql.CarbonContext scala>import
>> java.io.File scala>import org.apache.hadoop.hive.conf.HiveConf
>> scala>val cc = new CarbonContext(sc,
>> "hdfs://hadoop01/data/carbondata01/store")
>> scala>cc.setConf("hive.metastore.warehouse.dir",
>> "/apps/hive/warehouse")
>> scala>cc.setConf(HiveConf.ConfVars.HIVECHECKFILEFORMAT.varname,
>> "false")
>> scala>cc.setConf("carbon.kettle.home","/usr/hdp/2.4.0.0-169/spark/carbonlib/carbonplugins")
>> scala>
>> cc.setConf("carbon.kettle.home","/usr/hdp/2.4.0.0-169/spark/carbonlib/carbonplugins")
>> scala> cc.sql(s"load data local inpath 'hdfs://hadoop01/sample.csv'
>> into table t4 options('FILEHEADER'='id,name,city,age')") INFO 12-08
>> 14:21:24,461 - main Query [LOAD DATA LOCAL INPATH
>> 'HDFS://HADOOP01/SAMPLE.CSV' INTO TABLE T4
>> OPTIONS('FILEHEADER'='ID,NAME,CITY,AGE')] INFO 12-08 14:21:39,475 -
>> Table MetaData Unlocked Successfully after data load
>> java.lang.RuntimeException: Table is locked for updation. Please try
>> after some time at scala.sys.package$.error(package.scala:27)
>> at
>> org.apache.spark.sql.execution.command.LoadTable.run(carbonTableSchema.scala:1049)
>> at
>> org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:58)
>> at
>> org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:56)
>> at
>> org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:70)
>> at
>> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132)
>> at
>> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130)
>> at
>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
>> thanks a lot
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>
>
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