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https://issues.apache.org/jira/browse/CARBONDATA-3422?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kunal Kapoor resolved CARBONDATA-3422.
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Fix Version/s: (was: NONE)
1.6.0
Resolution: Fixed
> fix missing complex dimensions when prepare the data from raw object
> ---------------------------------------------------------------------
>
> Key: CARBONDATA-3422
> URL:
https://issues.apache.org/jira/browse/CARBONDATA-3422> Project: CarbonData
> Issue Type: Bug
> Components: data-load, spark-integration
> Affects Versions: 1.5.3
> Reporter: lamber-ken
> Priority: Blocker
> Fix For: 1.6.0
>
> Time Spent: 4h
> Remaining Estimate: 0h
>
> When use compact command for streaming table which contains complex column like array, it'll thow +ArrayIndexOutOfBoundsException.+
> *Compact command*
>
> {code:java}
> ALTER TABLE streaming1.stream_table_filter_complex COMPACT 'close_streaming'
> {code}
> *Stackstrace*
> {code:java}
> java.lang.ArrayIndexOutOfBoundsException: 9
> at org.apache.carbondata.processing.loading.sort.SortStepRowHandler.packNoSortFieldsToBytes(SortStepRowHandler.java:808)
> at org.apache.carbondata.processing.loading.sort.SortStepRowHandler.writeRawRowAsIntermediateSortTempRowToOutputStream(SortStepRowHandler.java:481)
> at org.apache.carbondata.processing.sort.sortdata.SortDataRows.writeDataToFile(SortDataRows.java:244)
> at org.apache.carbondata.processing.sort.sortdata.SortDataRows.startSorting(SortDataRows.java:222)
> at org.apache.carbondata.processing.merger.CompactionResultSortProcessor.processResult(CompactionResultSortProcessor.java:257)
> at org.apache.carbondata.processing.merger.CompactionResultSortProcessor.execute(CompactionResultSortProcessor.java:175)
> at org.apache.carbondata.spark.rdd.StreamHandoffRDD.internalCompute(StreamHandoffRDD.scala:123)
> at org.apache.carbondata.spark.rdd.CarbonRDD.compute(CarbonRDD.scala:82)
> 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:108)
> {code}
>
>
>
>
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