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-rw-r--r--sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala2
-rw-r--r--sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategySuite.scala35
2 files changed, 36 insertions, 1 deletions
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala
index 32aa4713eb..67491302a9 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala
@@ -130,7 +130,9 @@ private[sql] object FileSourceStrategy extends Strategy with Logging {
createNonBucketedReadRDD(readFile, selectedPartitions, fsRelation)
}
+ // These metadata values make scan plans uniquely identifiable for equality checking.
val meta = Map(
+ "PartitionFilters" -> partitionKeyFilters.mkString("[", ", ", "]"),
"Format" -> fsRelation.fileFormat.toString,
"ReadSchema" -> prunedDataSchema.simpleString,
PUSHED_FILTERS -> pushedDownFilters.mkString("[", ", ", "]"),
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategySuite.scala
index 2f551b1a01..18246500f7 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategySuite.scala
@@ -30,7 +30,7 @@ import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.catalog.BucketSpec
import org.apache.spark.sql.catalyst.expressions.{Expression, ExpressionSet, PredicateHelper}
import org.apache.spark.sql.catalyst.util
-import org.apache.spark.sql.execution.DataSourceScanExec
+import org.apache.spark.sql.execution.{DataSourceScanExec, SparkPlan}
import org.apache.spark.sql.functions._
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.sources._
@@ -408,6 +408,39 @@ class FileSourceStrategySuite extends QueryTest with SharedSQLContext with Predi
}
}
+ test("[SPARK-16818] partition pruned file scans implement sameResult correctly") {
+ withTempPath { path =>
+ val tempDir = path.getCanonicalPath
+ spark.range(100)
+ .selectExpr("id", "id as b")
+ .write
+ .partitionBy("id")
+ .parquet(tempDir)
+ val df = spark.read.parquet(tempDir)
+ def getPlan(df: DataFrame): SparkPlan = {
+ df.queryExecution.executedPlan
+ }
+ assert(getPlan(df.where("id = 2")).sameResult(getPlan(df.where("id = 2"))))
+ assert(!getPlan(df.where("id = 2")).sameResult(getPlan(df.where("id = 3"))))
+ }
+ }
+
+ test("[SPARK-16818] exchange reuse respects differences in partition pruning") {
+ spark.conf.set("spark.sql.exchange.reuse", true)
+ withTempPath { path =>
+ val tempDir = path.getCanonicalPath
+ spark.range(10)
+ .selectExpr("id % 2 as a", "id % 3 as b", "id as c")
+ .write
+ .partitionBy("a")
+ .parquet(tempDir)
+ val df = spark.read.parquet(tempDir)
+ val df1 = df.where("a = 0").groupBy("b").agg("c" -> "sum")
+ val df2 = df.where("a = 1").groupBy("b").agg("c" -> "sum")
+ checkAnswer(df1.join(df2, "b"), Row(0, 6, 12) :: Row(1, 4, 8) :: Row(2, 10, 5) :: Nil)
+ }
+ }
+
// Helpers for checking the arguments passed to the FileFormat.
protected val checkPartitionSchema =