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https://issues.apache.org/jira/browse/CARBONDATA-647?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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DEEPAK MEHRA updated CARBONDATA-647:
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Attachment: 2000_UniqData.csv
> Dictionary Lock issue with load data through beeline.
> ------------------------------------------------------
>
> Key: CARBONDATA-647
> URL: https://issues.apache.org/jira/browse/CARBONDATA-647
> Project: CarbonData
> Issue Type: Bug
> Components: data-load
> Affects Versions: 1.0.0-incubating
> Environment: Spark 1.6.2
> Reporter: DEEPAK MEHRA
> Attachments: 2000_UniqData.csv, DriverLog, ExecutorLog
>
>
> I am executing below-mentioned query on beeline and it throws dictionary file
> is locked for updation. Dictionary file is random every time I create a new
> table followed by load.
> Example
> CREATE TABLE uni (CUST_ID int,CUST_NAME String,ACTIVE_EMUI_VERSION string,
> DOB timestamp, DOJ timestamp, BIGINT_COLUMN1 bigint,BIGINT_COLUMN2
> bigint,DECIMAL_COLUMN1 decimal(30,10), DECIMAL_COLUMN2
> decimal(36,10),Double_COLUMN1 double, Double_COLUMN2 double,INTEGER_COLUMN1
> int) STORED BY 'org.apache.carbondata.format' ;
> LOAD DATA INPATH 'hdfs://hadoop-master:54311/payal/2000_UniqData.csv' into
> table uni OPTIONS('DELIMITER'=',' ,
> 'QUOTECHAR'='"','BAD_RECORDS_ACTION'='FORCE','FILEHEADER'='CUST_ID,CUST_NAME,ACTIVE_EMUI_VERSION,DOB,DOJ,BIGINT_COLUMN1,BIGINT_COLUMN2,DECIMAL_COLUMN1,DECIMAL_COLUMN2,Double_COLUMN1,Double_COLUMN2,INTEGER_COLUMN1')
> ;
> Error: org.apache.spark.SparkException: Job aborted due to stage failure:
> Task 0 in stage 7.0 failed 4 times, most recent failure: Lost task 0.3 in
> stage 7.0 (TID 47, hadoop-slave-3): java.lang.RuntimeException: Dictionary
> file cust_name is locked for updation. Please try after some time
> at scala.sys.package$.error(package.scala:27)
> at
> org.apache.carbondata.spark.rdd.CarbonGlobalDictionaryGenerateRDD$$anon$1.<init>(CarbonGlobalDictionaryRDD.scala:396)
> at
> org.apache.carbondata.spark.rdd.CarbonGlobalDictionaryGenerateRDD.compute(CarbonGlobalDictionaryRDD.scala:334)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace: (state=,code=0)
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