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https://issues.apache.org/jira/browse/CARBONDATA-619?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ravindra Pesala resolved CARBONDATA-619.
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Resolution: Fixed
Fix Version/s: 1.0.0-incubating
> Compaction API for Spark 2.1 : Issue in compaction type
> -------------------------------------------------------
>
> Key: CARBONDATA-619
> URL: https://issues.apache.org/jira/browse/CARBONDATA-619
> Project: CarbonData
> Issue Type: Bug
> Components: data-query
> Affects Versions: 1.0.0-incubating
> Environment: Spark 2.1
> Reporter: DEEPAK MEHRA
> Assignee: ravikiran
> Priority: Minor
> Fix For: 1.0.0-incubating
>
> Attachments: compaction_result.png, employee.csv
>
> Time Spent: 1h 10m
> Remaining Estimate: 0h
>
> Compaction API for Spark 2.1 : Compaction is successful on the segment ids
> irrespective of the compaction types which are( Minor and Major) i.e The
> compaction was successful for type other than Minor/Major
> I created a table with name carbon_table and made 5 loads into the table with
> the threshold of (4,3)
> cc.sql("create table carbon_table(id int,name string) stored by 'carbondata'")
> cc.sql("LOAD DATA LOCAL INPATH 'hdfs://hadoop-master:54311/data/employee.csv'
> INTO TABLE carbon_table options('FILEHEADER'='id,name')")
> For instance
> Compaction.compaction(spark,"default","carbon_table","xyz")
> here
> default is the database name
> carbon_table is the table name
> xyz is the compaction type
> I invoked the above method to compact the segments and it was executed
> successfully and compacted the segment ids. On show segment It produced the
> result with success for compaction . I have attached the screen shot for the
> same.
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