[
https://issues.apache.org/jira/browse/SPARK-11372?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Pravin Gadakh updated SPARK-11372:
----------------------------------
Description:
Consider following custom UDAF which uses StringType column as intermediate
buffer's schema:
{code:title=Merge.scala|borderStyle=solid}
class Merge extends UserDefinedAggregateFunction {
override def inputSchema: StructType = StructType(StructField("value",
StringType) :: Nil)
override def update(buffer: MutableAggregationBuffer, input: Row): Unit = {
buffer(0) = if (buffer.getAs[String](0).isEmpty) {
input.getAs[String](0)
} else {
buffer.getAs[String](0) + "," + input.getAs[String](0)
}
}
override def bufferSchema: StructType = StructType(
StructField("merge", StringType) :: Nil
)
override def merge(buffer1: MutableAggregationBuffer, buffer2: Row): Unit = {
buffer1(0) = if (buffer1.getAs[String](0).isEmpty) {
buffer2.getAs[String](0)
} else if (!buffer2.getAs[String](0).isEmpty) {
buffer1.getAs[String](0) + "," + buffer2.getAs[String](0)
}
}
override def initialize(buffer: MutableAggregationBuffer): Unit = {
buffer(0) = ""
}
override def deterministic: Boolean = true
override def evaluate(buffer: Row): Any = {
buffer.getAs[String](0)
}
override def dataType: DataType = StringType
}
{code}
Running the UDAF:
{code}
val df: DataFrame = sc.parallelize(List("abcd", "efgh", "hijk")).toDF("alpha")
val merge = new Merge()
df.groupBy().agg(merge(col("alpha")).as("Merge")).show()
{code}
Throws following exception:
{code}
java.lang.ClassCastException: java.lang.String cannot be cast to
org.apache.spark.unsafe.types.UTF8String
at
org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getUTF8String(rows.scala:45)
at
org.apache.spark.sql.catalyst.expressions.GenericMutableRow.getUTF8String(rows.scala:247)
at
org.apache.spark.sql.catalyst.expressions.JoinedRow.getUTF8String(JoinedRow.scala:102)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection.apply(Unknown
Source)
at
org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$32.apply(AggregationIterator.scala:373)
at
org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$32.apply(AggregationIterator.scala:362)
at
org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:141)
at
org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:30)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:312)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
at scala.collection.AbstractIterator.to(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1839)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1839)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
{code}
was:
Consider following custom UDAF which uses StringType column as intermediate
buffer's schema:
{code:title=Merge.scala|borderStyle=solid}
class Merge extends UserDefinedAggregateFunction {
override def inputSchema: StructType = StructType(StructField("value",
StringType) :: Nil)
override def update(buffer: MutableAggregationBuffer, input: Row): Unit = {
buffer(0) = if (buffer.getAs[String](0).isEmpty) {
input.getAs[String](0)
} else {
buffer.getAs[String](0) + "," + input.getAs[String](0)
}
}
override def bufferSchema: StructType = StructType(
StructField("merge", StringType) :: Nil
)
override def merge(buffer1: MutableAggregationBuffer, buffer2: Row): Unit = {
buffer1(0) = if (buffer1.getAs[String](0).isEmpty) {
buffer2.getAs[String](0)
} else if (!buffer2.getAs[String](0).isEmpty) {
buffer1.getAs[String](0) + "," + buffer2.getAs[String](0)
}
}
override def initialize(buffer: MutableAggregationBuffer): Unit = {
buffer(0) = ""
}
override def deterministic: Boolean = true
override def evaluate(buffer: Row): Any = {
buffer.getAs[String](0)
}
override def dataType: DataType = StringType
}
{code}
Running the UDAF:
{code}
val df: DataFrame = sc.parallelize(List("abcd", "efgh", "hijk")).toDF("alpha")
val merge = new Merge()
df.groupBy().agg(merge(col("alpha")).as("Merge")).show()
{code}
Throw following exception:
{code}
java.lang.ClassCastException: java.lang.String cannot be cast to
org.apache.spark.unsafe.types.UTF8String
at
org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getUTF8String(rows.scala:45)
at
org.apache.spark.sql.catalyst.expressions.GenericMutableRow.getUTF8String(rows.scala:247)
at
org.apache.spark.sql.catalyst.expressions.JoinedRow.getUTF8String(JoinedRow.scala:102)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection.apply(Unknown
Source)
at
org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$32.apply(AggregationIterator.scala:373)
at
org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$32.apply(AggregationIterator.scala:362)
at
org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:141)
at
org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:30)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:312)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
at scala.collection.AbstractIterator.to(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1839)
at
org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1839)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
{code}
> custom UDAF with StringType throws java.lang.ClassCastException
> ---------------------------------------------------------------
>
> Key: SPARK-11372
> URL: https://issues.apache.org/jira/browse/SPARK-11372
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Pravin Gadakh
> Priority: Minor
>
> Consider following custom UDAF which uses StringType column as intermediate
> buffer's schema:
> {code:title=Merge.scala|borderStyle=solid}
> class Merge extends UserDefinedAggregateFunction {
> override def inputSchema: StructType = StructType(StructField("value",
> StringType) :: Nil)
> override def update(buffer: MutableAggregationBuffer, input: Row): Unit = {
> buffer(0) = if (buffer.getAs[String](0).isEmpty) {
> input.getAs[String](0)
> } else {
> buffer.getAs[String](0) + "," + input.getAs[String](0)
> }
> }
> override def bufferSchema: StructType = StructType(
> StructField("merge", StringType) :: Nil
> )
> override def merge(buffer1: MutableAggregationBuffer, buffer2: Row): Unit =
> {
> buffer1(0) = if (buffer1.getAs[String](0).isEmpty) {
> buffer2.getAs[String](0)
> } else if (!buffer2.getAs[String](0).isEmpty) {
> buffer1.getAs[String](0) + "," + buffer2.getAs[String](0)
> }
> }
> override def initialize(buffer: MutableAggregationBuffer): Unit = {
> buffer(0) = ""
> }
> override def deterministic: Boolean = true
> override def evaluate(buffer: Row): Any = {
> buffer.getAs[String](0)
> }
> override def dataType: DataType = StringType
> }
> {code}
> Running the UDAF:
> {code}
> val df: DataFrame = sc.parallelize(List("abcd", "efgh",
> "hijk")).toDF("alpha")
> val merge = new Merge()
> df.groupBy().agg(merge(col("alpha")).as("Merge")).show()
> {code}
> Throws following exception:
> {code}
> java.lang.ClassCastException: java.lang.String cannot be cast to
> org.apache.spark.unsafe.types.UTF8String
> at
> org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow$class.getUTF8String(rows.scala:45)
> at
> org.apache.spark.sql.catalyst.expressions.GenericMutableRow.getUTF8String(rows.scala:247)
> at
> org.apache.spark.sql.catalyst.expressions.JoinedRow.getUTF8String(JoinedRow.scala:102)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection.apply(Unknown
> Source)
> at
> org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$32.apply(AggregationIterator.scala:373)
> at
> org.apache.spark.sql.execution.aggregate.AggregationIterator$$anonfun$32.apply(AggregationIterator.scala:362)
> at
> org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:141)
> at
> org.apache.spark.sql.execution.aggregate.SortBasedAggregationIterator.next(SortBasedAggregationIterator.scala:30)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at scala.collection.Iterator$$anon$10.next(Iterator.scala:312)
> at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1839)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1839)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
