[ 
https://issues.apache.org/jira/browse/CARBONDATA-3902?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Indhumathi Muthumurugesh updated CARBONDATA-3902:
-------------------------------------------------
    Description: 
Steps to Reproduce Issue :

[^issue.scala]
{code:java}
// code placeholder
import scala.collection.JavaConverters.
import java.sql.Date
import org.apache.spark.sql._
import org.apache.spark.sql.CarbonSession._
import org.apache.spark.sql.catalyst.TableIdentifier
import 
org.apache.spark.sql.execution.command.mutation.merge.{CarbonMergeDataSetCommand,
 DeleteAction, InsertAction, InsertInHistoryTableAction, MergeDataSetMatches, 
MergeMatch, UpdateAction, WhenMatched, WhenNotMatched, 
WhenNotMatchedAndExistsOnlyOnTarget}import 
org.apache.spark.sql.functions._import 
org.apache.spark.sql.test.util.QueryTestimport 
org.apache.spark.sql.types.{BooleanType, DateType, IntegerType, StringType, 
StructField, StructType}
import spark.implicits.sql("drop table if exists target").show()val initframe = 
spark.createDataFrame(Seq(
Row("a", "0"),
Row("b", "1"),
Row("c", "2"),
Row("d", "3")
).asJava, StructType(Seq(StructField("key", StringType), StructField("value", 
StringType))))initframe.write
.format("carbondata")
.option("tableName", "target")
.option("partitionColumns", "value")
.mode(SaveMode.Overwrite)
.save()val target = spark.read.format("carbondata").option("tableName", 
"target").load()var ccd =
spark.createDataFrame(Seq(
Row("a", "10", false, 0),
Row("a", null, true, 1),
Row("b", null, true, 2),
Row("c", null, true, 3),
Row("c", "20", false, 4),
Row("c", "200", false, 5),
Row("e", "100", false, 6)
).asJava,
StructType(Seq(StructField("key", StringType),
StructField("newValue", StringType),
StructField("deleted", BooleanType), StructField("time", 
IntegerType))))ccd.createOrReplaceTempView("changes")ccd = sql("SELECT key, 
latest.newValue as newValue, latest.deleted as deleted FROM ( SELECT key, 
max(struct(time, newValue, deleted)) as latest FROM changes GROUP BY key)")val 
updateMap = Map("key" -> "B.key", "value" -> 
"B.newValue").asInstanceOf[Map[Any, Any]]val insertMap = Map("key" -> "B.key", 
"value" -> "B.newValue").asInstanceOf[Map[Any, 
Any]]target.as("A").merge(ccd.as("B"), "A.key=B.key").
whenMatched("B.deleted=true").
delete().execute()
{code}

  was:
Steps to Reproduce Issue :
import scala.collection.JavaConverters._import java.sql.Dateimport 
org.apache.spark.sql._import org.apache.spark.sql.CarbonSession._import 
org.apache.spark.sql.catalyst.TableIdentifierimport 
org.apache.spark.sql.execution.command.mutation.merge.\{CarbonMergeDataSetCommand,
 DeleteAction, InsertAction, InsertInHistoryTableAction, MergeDataSetMatches, 
MergeMatch, UpdateAction, WhenMatched, WhenNotMatched, 
WhenNotMatchedAndExistsOnlyOnTarget}import 
org.apache.spark.sql.functions._import 
org.apache.spark.sql.test.util.QueryTestimport 
org.apache.spark.sql.types.\{BooleanType, DateType, IntegerType, StringType, 
StructField, StructType}import spark.implicits._
        
sql("drop table if exists target").show()

val initframe = spark.createDataFrame(Seq(
  Row("a", "0"),
  Row("b", "1"),
  Row("c", "2"),
  Row("d", "3")
).asJava, StructType(Seq(StructField("key", StringType), StructField("value", 
StringType))))

initframe.write
  .format("carbondata")
  .option("tableName", "target")
  .option("partitionColumns", "value")
  .mode(SaveMode.Overwrite)
  .save()
  
val target = spark.read.format("carbondata").option("tableName", 
"target").load()var ccd =
  spark.createDataFrame(Seq(
    Row("a", "10", false,  0),
    Row("a", null, true, 1),   
    Row("b", null, true, 2),   
    Row("c", null, true, 3),   
    Row("c", "20", false, 4),
    Row("c", "200", false, 5),
    Row("e", "100", false, 6) 
  ).asJava,
    StructType(Seq(StructField("key", StringType),
      StructField("newValue", StringType),
      StructField("deleted", BooleanType), StructField("time", IntegerType))))
          
ccd.createOrReplaceTempView("changes")

ccd = sql("SELECT key, latest.newValue as newValue, latest.deleted as deleted 
FROM ( SELECT key, max(struct(time, newValue, deleted)) as latest FROM changes 
GROUP BY key)")

val updateMap = Map("key" -> "B.key", "value" -> 
"B.newValue").asInstanceOf[Map[Any, Any]]

val insertMap = Map("key" -> "B.key", "value" -> 
"B.newValue").asInstanceOf[Map[Any, Any]]

target.as("A").merge(ccd.as("B"), "A.key=B.key").
  whenMatched("B.deleted=true").
  delete().execute()


> Query on partition table gives incorrect results after Delete records using 
> CDC
> -------------------------------------------------------------------------------
>
>                 Key: CARBONDATA-3902
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-3902
>             Project: CarbonData
>          Issue Type: Bug
>            Reporter: Indhumathi Muthumurugesh
>            Priority: Major
>         Attachments: issue.scala
>
>
> Steps to Reproduce Issue :
> [^issue.scala]
> {code:java}
> // code placeholder
> import scala.collection.JavaConverters.
> import java.sql.Date
> import org.apache.spark.sql._
> import org.apache.spark.sql.CarbonSession._
> import org.apache.spark.sql.catalyst.TableIdentifier
> import 
> org.apache.spark.sql.execution.command.mutation.merge.{CarbonMergeDataSetCommand,
>  DeleteAction, InsertAction, InsertInHistoryTableAction, MergeDataSetMatches, 
> MergeMatch, UpdateAction, WhenMatched, WhenNotMatched, 
> WhenNotMatchedAndExistsOnlyOnTarget}import 
> org.apache.spark.sql.functions._import 
> org.apache.spark.sql.test.util.QueryTestimport 
> org.apache.spark.sql.types.{BooleanType, DateType, IntegerType, StringType, 
> StructField, StructType}
> import spark.implicits.sql("drop table if exists target").show()val initframe 
> = spark.createDataFrame(Seq(
> Row("a", "0"),
> Row("b", "1"),
> Row("c", "2"),
> Row("d", "3")
> ).asJava, StructType(Seq(StructField("key", StringType), StructField("value", 
> StringType))))initframe.write
> .format("carbondata")
> .option("tableName", "target")
> .option("partitionColumns", "value")
> .mode(SaveMode.Overwrite)
> .save()val target = spark.read.format("carbondata").option("tableName", 
> "target").load()var ccd =
> spark.createDataFrame(Seq(
> Row("a", "10", false, 0),
> Row("a", null, true, 1),
> Row("b", null, true, 2),
> Row("c", null, true, 3),
> Row("c", "20", false, 4),
> Row("c", "200", false, 5),
> Row("e", "100", false, 6)
> ).asJava,
> StructType(Seq(StructField("key", StringType),
> StructField("newValue", StringType),
> StructField("deleted", BooleanType), StructField("time", 
> IntegerType))))ccd.createOrReplaceTempView("changes")ccd = sql("SELECT key, 
> latest.newValue as newValue, latest.deleted as deleted FROM ( SELECT key, 
> max(struct(time, newValue, deleted)) as latest FROM changes GROUP BY 
> key)")val updateMap = Map("key" -> "B.key", "value" -> 
> "B.newValue").asInstanceOf[Map[Any, Any]]val insertMap = Map("key" -> 
> "B.key", "value" -> "B.newValue").asInstanceOf[Map[Any, 
> Any]]target.as("A").merge(ccd.as("B"), "A.key=B.key").
> whenMatched("B.deleted=true").
> delete().execute()
> {code}



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