http://apache-carbondata-dev-mailing-list-archive.168.s1.nabble.com/load-data-fail-tp100p169.html
> Can you share the case experience: how did you solve it.
>
> Regards
> Liang
> -----邮件原件-----
> 发件人: 金铸 [mailto:
[hidden email]]
> 发送时间: 2016年8月17日 10:31
> 收件人:
[hidden email]
> 主题: Re: load data fail
>
> thanks a lot，I solve this。
>
>
>
> 在 2016/8/17 0:53, Eason 写道:
>> 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/li
>>> b/datanucleus-rdbms-3.2.9.jar,/usr/hdp/2.4.0.0-169/spark/lib/datanucl
>>> eus-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/car
>>> scala>bonlib/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.s
>>> cala:150)
>>> thanks a lot
>>> ---------------------------------------------------------------------
>>>
>
>
>
>
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