sarutak opened a new pull request #32606:
URL: https://github.com/apache/spark/pull/32606
### What changes were proposed in this pull request?
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This PR fixes an issue that `RemoveRedundantProjects` removes `ProjectExec`
which is for generating `UnsafeRow`.
In `DataSourceV2Strategy`, `ProjectExec` will be inserted to ensure internal
rows are `UnsafeRow`.
```
private def withProjectAndFilter(
project: Seq[NamedExpression],
filters: Seq[Expression],
scan: LeafExecNode,
needsUnsafeConversion: Boolean): SparkPlan = {
val filterCondition = filters.reduceLeftOption(And)
val withFilter = filterCondition.map(FilterExec(_, scan)).getOrElse(scan)
if (withFilter.output != project || needsUnsafeConversion) {
ProjectExec(project, withFilter)
} else {
withFilter
}
}
...
case PhysicalOperation(project, filters, relation:
DataSourceV2ScanRelation) =>
// projection and filters were already pushed down in the optimizer.
// this uses PhysicalOperation to get the projection and ensure that
if the batch scan does
// not support columnar, a projection is added to convert the rows to
UnsafeRow.
val batchExec = BatchScanExec(relation.output, relation.scan)
withProjectAndFilter(project, filters, batchExec,
!batchExec.supportsColumnar) :: Nil
```
So, the hierarchy of the partial tree should be like
`ProjectExec(FilterExec(BatchScan))`.
But `RemoveRedundantProjects` doesn't consider this type of hierarchy,
leading `ClassCastException`.
A concreate example to reproduce this issue is reported:
```
import scala.collection.JavaConverters._
import org.apache.iceberg.{PartitionSpec, TableProperties}
import org.apache.iceberg.hadoop.HadoopTables
import org.apache.iceberg.spark.SparkSchemaUtil
import org.apache.spark.sql.{DataFrame, QueryTest, SparkSession}
import org.apache.spark.sql.internal.SQLConf
class RemoveRedundantProjectsTest extends QueryTest {
override val spark: SparkSession = SparkSession
.builder()
.master("local[4]")
.config("spark.driver.bindAddress", "127.0.0.1")
.appName(suiteName)
.getOrCreate()
test("RemoveRedundantProjects removes non-redundant projects") {
withSQLConf(
SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1",
SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false",
SQLConf.REMOVE_REDUNDANT_PROJECTS_ENABLED.key -> "true") {
withTempDir { dir =>
val path = dir.getCanonicalPath
val data = spark.range(3).toDF
val table = new HadoopTables().create(
SparkSchemaUtil.convert(data.schema),
PartitionSpec.unpartitioned(),
Map(TableProperties.WRITE_NEW_DATA_LOCATION -> path).asJava,
path)
data.write.format("iceberg").mode("overwrite").save(path)
table.refresh()
val df = spark.read.format("iceberg").load(path)
val dfX = df.as("x")
val dfY = df.as("y")
val join = dfX.filter(dfX("id") > 0).join(dfY, "id")
join.explain("extended")
assert(join.count() == 2)
}
}
}
}
```
```
[info] - RemoveRedundantProjects removes non-redundant projects *** FAILED
***
[info] org.apache.spark.SparkException: Job aborted due to stage failure:
Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage
1.0 (TID 4) (xeroxms100.northamerica.corp.microsoft.com executor driver):
java.lang.ClassCastException:
org.apache.spark.sql.catalyst.expressions.GenericInternalRow cannot be cast to
org.apache.spark.sql.catalyst.expressions.UnsafeRow
[info] at
org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:226)
[info] at
org.apache.spark.sql.execution.SortExec.$anonfun$doExecute$1(SortExec.scala:119)
```
### Why are the changes needed?
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### Does this PR introduce _any_ user-facing change?
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the documentation fix.
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No.
### How was this patch tested?
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New test.
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