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Posted to dev@carbondata.apache.org by "Chenliang (Liang, CarbonData)" <ch...@huawei.com> on 2016/08/17 02:35:51 UTC
答复: load data fail
Can you share the case experience: how did you solve it.
Regards
Liang
-----邮件原件-----
发件人: 金铸 [mailto:jin_zh@neusoft.com]
发送时间: 2016年8月17日 10:31
收件人: dev@carbondata.incubator.apache.org
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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>> communication in error,please immediately notify the sender by return
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>> ------------------------------
>
>
>
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Re: 答复: load data fail
Posted by 金铸 <ji...@neusoft.com>.
i drop table，use $hdc_home/hive/conf/hive-sie.xml replace
$hdc_home/spark/conf/hive-site.xml,fixed it.
but i do not know the principle inside.
if t4 is exist in hive's defualt,in other words create table t4 in
hive,then create table in carbondata do not reported exception。
在 2016/8/17 10:35, Chenliang (Liang, CarbonData) 写道:
> Can you share the case experience: how did you solve it.
>
> Regards
> Liang
> -----邮件原件-----
> 发件人: 金铸 [mailto:jin_zh@neusoft.com]
> 发送时间: 2016年8月17日 10:31
> 收件人: dev@carbondata.incubator.apache.org
> 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
>>> ---------------------------------------------------------------------
>>>
>
>
>
>
---------------------------------------------------------------------------------------------------
Confidentiality Notice: The information contained in this e-mail and any accompanying attachment(s)
is intended only for the use of the intended recipient and may be confidential and/or privileged of
Neusoft Corporation, its subsidiaries and/or its affiliates. If any reader of this communication is
not the intended recipient, unauthorized use, forwarding, printing, storing, disclosure or copying
is strictly prohibited, and may be unlawful.If you have received this communication in error,please
immediately notify the sender by return e-mail, and delete the original message and all copies from
your system. Thank you.
---------------------------------------------------------------------------------------------------