Jatin created CARBONDATA-2741:
---------------------------------
Summary: Exception occurs after alter add few columns and
selecting in random order
Key: CARBONDATA-2741
URL: https://issues.apache.org/jira/browse/CARBONDATA-2741
Project: CarbonData
Issue Type: Bug
Components: spark-integration
Affects Versions: 1.5.0
Environment: 3 node cluster with spark2.2
Reporter: Jatin
Assignee: Jatin
Fix For: 1.5.0
create table tb1 (imei string,AMSize string,channelsId string,ActiveCountry
string, Activecity string,gamePointId double,deviceInformationId
double,productionDate Timestamp,deliveryDate timestamp,deliverycharge double)
STORED BY 'org.apache.carbondata.format'
TBLPROPERTIES('table_blocksize'='1','COLUMN_META_CACHE'='AMSize');
LOAD DATA INPATH 'hdfs://hacluster/csv/vardhandaterestruct.csv' INTO TABLE tb1
OPTIONS('DELIMITER'=',', 'QUOTECHAR'=
'"','BAD_RECORDS_ACTION'='FORCE','FILEHEADER'=
'imei,deviceInformationId,AMSize,channelsId,ActiveCountry,Activecity,gamePointId,productionDate,deliveryDate,deliverycharge');
alter table tb1 add columns(age int, name string);
select * from tb1 where name is NULL or channelsId =4;
Exception occurs :
*Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task
0 in stage 6508.0 failed 4 times, most recent failure: Lost task 0.3 in stage
6508.0 (TID 140476, linux-49, executor 3): java.lang.RuntimeException: internal
error:*
org.apache.carbondata.core.datastore.page.encoding.adaptive.AdaptiveFloatingCodec[src
type: DOUBLE, target type: INT, stats(min: 1.0, max: 1000000.0, decimal: 1 )]
at
org.apache.carbondata.core.datastore.page.encoding.adaptive.AdaptiveFloatingCodec$3.decodeLong(AdaptiveFloatingCodec.java:185)
at
org.apache.carbondata.core.datastore.page.LazyColumnPage.getLong(LazyColumnPage.java:64)
at
org.apache.carbondata.core.scan.result.vector.MeasureDataVectorProcessor$IntegralMeasureVectorFiller.fillMeasureVector(MeasureDataVectorProcessor.java:73)
at
org.apache.carbondata.core.scan.result.impl.FilterQueryScannedResult.fillColumnarMeasureBatch(FilterQueryScannedResult.java:129)
at
org.apache.carbondata.core.scan.collector.impl.DictionaryBasedVectorResultCollector.fillResultToColumnarBatch(DictionaryBasedVectorResultCollector.java:167)
at
org.apache.carbondata.core.scan.collector.impl.RestructureBasedVectorResultCollector.collectResultInColumnarBatch(RestructureBasedVectorResultCollector.java:127)
at
org.apache.carbondata.core.scan.processor.DataBlockIterator.processNextBatch(DataBlockIterator.java:245)
at
org.apache.carbondata.core.scan.result.iterator.VectorDetailQueryResultIterator.processNextBatch(VectorDetailQueryResultIterator.java:48)
at
org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.nextBatch(VectorizedCarbonRecordReader.java:290)
at
org.apache.carbondata.spark.vectorreader.VectorizedCarbonRecordReader.nextKeyValue(VectorizedCarbonRecordReader.java:180)
at
org.apache.carbondata.spark.rdd.CarbonScanRDD$$anon$1.hasNext(CarbonScanRDD.scala:497)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:381)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:381)
at
org.apache.spark.sql.execution.SparkPlan$$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$$anonfun$apply$25.apply(RDD.scala:828)
at
org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:828)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:325)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace: (state=,code=0)
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