[jira] [Updated] (CARBONDATA-3902) Query on partition table gives incorrect results after Delete records using CDC

[Akash R Nilugal (Jira)]

     [ 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 :
{code:java}
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.QueryTest
import 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 :

[^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.QueryTest
import 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}

> 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
>
> Steps to Reproduce Issue :
> {code:java}
> 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.QueryTest
> import 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}

--
This message was sent by Atlassian Jira
(v8.3.4#803005)