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https://issues.apache.org/jira/browse/CARBONDATA-1011?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ravindra Pesala resolved CARBONDATA-1011.
-----------------------------------------
Resolution: Fixed
Fix Version/s: 1.1.0
> select * doesn't work after adding column of date type
> ------------------------------------------------------
>
> Key: CARBONDATA-1011
> URL: https://issues.apache.org/jira/browse/CARBONDATA-1011
> Project: CarbonData
> Issue Type: Bug
> Components: data-query
> Environment: spark 2.1
> Reporter: Neha Bhardwaj
> Assignee: Kunal Kapoor
> Priority: Minor
> Fix For: 1.1.0
>
> Attachments: 3000_UniqData.csv
>
> Time Spent: 40m
> Remaining Estimate: 0h
>
> Select * from <tablename> doesn't work , after a new column of date type(with
> default value) has been added to the table.
> Steps to reproduce :
> CREATE TABLE uniqdata2 (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' TBLPROPERTIES
> ("TABLE_BLOCKSIZE"= "256 MB");
> LOAD DATA INPATH 'hdfs://localhost:54310/Files/3000_UniqData.csv' into table
> uniqdata2 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');
> Query before alter :
> select * from uniqdata2; //Works fine
> alter table uniqdata2 add columns(date1 date)
> TBLPROPERTIES('DEFAULT.VALUE.date1'= '2017-01-01');
> Query after alter :
> select * from uniqdata2;
> Expected Output - Display all the data of the table.
> Actual Output -
> Error: org.apache.spark.SparkException: Job aborted due to stage failure:
> Task 0 in stage 201.0 failed 4 times, most recent failure: Lost task 0.3 in
> stage 201.0 (TID 402, 192.168.1.7, executor 0): java.lang.ClassCastException:
> java.lang.Integer cannot be cast to java.lang.Long
> at
> org.apache.carbondata.core.scan.collector.impl.RestructureBasedVectorResultCollector.fillDirectDictionaryData(RestructureBasedVectorResultCollector.java:167)
> at
> org.apache.carbondata.core.scan.collector.impl.RestructureBasedVectorResultCollector.fillDataForNonExistingDimensions(RestructureBasedVectorResultCollector.java:130)
> at
> org.apache.carbondata.core.scan.collector.impl.RestructureBasedVectorResultCollector.collectVectorBatch(RestructureBasedVectorResultCollector.java:112)
> at
> org.apache.carbondata.core.scan.processor.impl.DataBlockIteratorImpl.processNextBatch(DataBlockIteratorImpl.java:65)
> at
> org.apache.carbondata.core.scan.result.iterator.VectorDetailQueryResultIterator.processNextBatch(VectorDetailQueryResultIterator.java:46)
> at
> org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.nextBatch(VectorizedCarbonRecordReader.java:251)
> at
> org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.nextKeyValue(VectorizedCarbonRecordReader.java:141)
> at
> org.apache.carbondata.spark.rdd.CarbonScanRDD$$anon$1.hasNext(CarbonScanRDD.scala:221)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:231)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:225)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:99)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
> 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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