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7 changes: 0 additions & 7 deletions common/src/main/scala/org/apache/comet/CometConf.scala
Original file line number Diff line number Diff line change
Expand Up @@ -554,13 +554,6 @@ object CometConf extends ShimCometConf {
.doubleConf
.createWithDefault(1.0)

val COMET_DPP_FALLBACK_ENABLED: ConfigEntry[Boolean] =
conf("spark.comet.dppFallback.enabled")
.category(CATEGORY_EXEC)
.doc("Whether to fall back to Spark for queries that use DPP.")
.booleanConf
.createWithDefault(true)

val COMET_DEBUG_ENABLED: ConfigEntry[Boolean] =
conf("spark.comet.debug.enabled")
.category(CATEGORY_EXEC)
Expand Down
57 changes: 30 additions & 27 deletions dev/diffs/3.4.3.diff
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
diff --git a/pom.xml b/pom.xml
index d3544881af1..377683b10c5 100644
index d3544881af1..d075572c5b3 100644
--- a/pom.xml
+++ b/pom.xml
@@ -148,6 +148,8 @@
Expand Down Expand Up @@ -417,28 +417,39 @@ index daef11ae4d6..9f3cc9181f2 100644
assert(exchanges.size == 2)
}
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala
index f33432ddb6f..7d758d2481f 100644
index f33432ddb6f..579a9c271de 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala
@@ -22,6 +22,7 @@ import org.scalatest.GivenWhenThen
import org.apache.spark.sql.catalyst.expressions.{DynamicPruningExpression, Expression}
import org.apache.spark.sql.catalyst.expressions.CodegenObjectFactoryMode._
import org.apache.spark.sql.catalyst.plans.ExistenceJoin
+import org.apache.spark.sql.comet.CometScanExec
+import org.apache.spark.sql.comet.{CometNativeScanExec, CometScanExec, CometSubqueryBroadcastExec}
import org.apache.spark.sql.connector.catalog.{InMemoryTableCatalog, InMemoryTableWithV2FilterCatalog}
import org.apache.spark.sql.execution._
import org.apache.spark.sql.execution.adaptive._
@@ -262,6 +263,9 @@ abstract class DynamicPartitionPruningSuiteBase
@@ -193,6 +194,7 @@ abstract class DynamicPartitionPruningSuiteBase
}
val subqueryBroadcast = dpExprs.collect {
case InSubqueryExec(_, b: SubqueryBroadcastExec, _, _, _, _) => b
+ case InSubqueryExec(_, b: CometSubqueryBroadcastExec, _, _, _, _) => b
}

val hasFilter = if (withSubquery) "Should" else "Shouldn't"
@@ -262,6 +264,12 @@ abstract class DynamicPartitionPruningSuiteBase
case s: BatchScanExec => s.runtimeFilters.collect {
case d: DynamicPruningExpression => d.child
}
+ case s: CometScanExec => s.partitionFilters.collect {
+ case d: DynamicPruningExpression => d.child
+ }
+ case s: CometNativeScanExec => s.partitionFilters.collect {
+ case d: DynamicPruningExpression => d.child
+ }
case _ => Nil
}
}
@@ -1027,7 +1032,8 @@ abstract class DynamicPartitionPruningSuiteBase
@@ -1027,7 +1035,8 @@ abstract class DynamicPartitionPruningSuiteBase
}
}

Expand All @@ -448,7 +459,7 @@ index f33432ddb6f..7d758d2481f 100644
withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "false",
SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1") {
withTable("large", "dimTwo", "dimThree") {
@@ -1215,7 +1221,8 @@ abstract class DynamicPartitionPruningSuiteBase
@@ -1215,7 +1224,8 @@ abstract class DynamicPartitionPruningSuiteBase
}

test("SPARK-32509: Unused Dynamic Pruning filter shouldn't affect " +
Expand All @@ -458,7 +469,7 @@ index f33432ddb6f..7d758d2481f 100644
withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "true") {
withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1") {
val df = sql(
@@ -1423,7 +1430,8 @@ abstract class DynamicPartitionPruningSuiteBase
@@ -1423,7 +1433,8 @@ abstract class DynamicPartitionPruningSuiteBase
}
}

Expand All @@ -468,7 +479,7 @@ index f33432ddb6f..7d758d2481f 100644
withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "true") {
val df = sql(
""" WITH v as (
@@ -1698,7 +1706,8 @@ abstract class DynamicPartitionPruningV1Suite extends DynamicPartitionPruningDat
@@ -1698,7 +1709,8 @@ abstract class DynamicPartitionPruningV1Suite extends DynamicPartitionPruningDat
* Check the static scan metrics with and without DPP
*/
test("static scan metrics",
Expand All @@ -478,7 +489,7 @@ index f33432ddb6f..7d758d2481f 100644
withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_ENABLED.key -> "true",
SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "false",
SQLConf.EXCHANGE_REUSE_ENABLED.key -> "false") {
@@ -1729,6 +1738,8 @@ abstract class DynamicPartitionPruningV1Suite extends DynamicPartitionPruningDat
@@ -1729,6 +1741,8 @@ abstract class DynamicPartitionPruningV1Suite extends DynamicPartitionPruningDat
case s: BatchScanExec =>
// we use f1 col for v2 tables due to schema pruning
s.output.exists(_.exists(_.argString(maxFields = 100).contains("f1")))
Expand Down Expand Up @@ -933,7 +944,7 @@ index b5b34922694..a72403780c4 100644
protected val baseResourcePath = {
// use the same way as `SQLQueryTestSuite` to get the resource path
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
index 525d97e4998..843f0472c23 100644
index 525d97e4998..8a3e7457618 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
@@ -1508,7 +1508,8 @@ class SQLQuerySuite extends QueryTest with SharedSparkSession with AdaptiveSpark
Expand Down Expand Up @@ -1294,17 +1305,16 @@ index 4b3d3a4b805..56e1e0e6f16 100644

setupTestData()
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantProjectsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantProjectsSuite.scala
index 9e9d717db3b..ec73082f458 100644
index 9e9d717db3b..bb04190c3ca 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantProjectsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantProjectsSuite.scala
@@ -17,7 +17,10 @@

package org.apache.spark.sql.execution

-import org.apache.spark.sql.{DataFrame, QueryTest, Row}
+import org.apache.comet.CometConf
+
+import org.apache.spark.sql.{DataFrame, IgnoreComet, QueryTest, Row}
import org.apache.spark.sql.{DataFrame, QueryTest, Row}
+import org.apache.spark.sql.comet.CometProjectExec
import org.apache.spark.sql.connector.SimpleWritableDataSource
import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanHelper, DisableAdaptiveExecutionSuite, EnableAdaptiveExecutionSuite}
Expand All @@ -1321,17 +1331,7 @@ index 9e9d717db3b..ec73082f458 100644
assert(actual == expected)
}
}
@@ -112,7 +118,8 @@ abstract class RemoveRedundantProjectsSuiteBase
assertProjectExec(query, 1, 3)
}

- test("join with ordering requirement") {
+ test("join with ordering requirement",
+ IgnoreComet("TODO: Support SubqueryBroadcastExec in Comet: #242")) {
val query = "select * from (select key, a, c, b from testView) as t1 join " +
"(select key, a, b, c from testView) as t2 on t1.key = t2.key where t2.a > 50"
assertProjectExec(query, 2, 2)
@@ -134,12 +141,21 @@ abstract class RemoveRedundantProjectsSuiteBase
@@ -134,12 +140,21 @@ abstract class RemoveRedundantProjectsSuiteBase
val df = data.selectExpr("a", "b", "key", "explode(array(key, a, b)) as d").filter("d > 0")
df.collect()
val plan = df.queryExecution.executedPlan
Expand All @@ -1358,7 +1358,7 @@ index 9e9d717db3b..ec73082f458 100644
case g @ GenerateExec(_, requiredChildOutput, _, _, child) =>
g.copy(requiredChildOutput = requiredChildOutput.reverse,
child = ProjectExec(requiredChildOutput.reverse, child))
@@ -151,6 +167,7 @@ abstract class RemoveRedundantProjectsSuiteBase
@@ -151,6 +166,7 @@ abstract class RemoveRedundantProjectsSuiteBase
// The manually added ProjectExec node shouldn't be removed.
assert(collectWithSubqueries(newExecutedPlan) {
case p: ProjectExec => p
Expand Down Expand Up @@ -3056,7 +3056,7 @@ index 1510e8957f9..7618419d8ff 100644
implicit val formats = new DefaultFormats {
override def dateFormatter = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss")
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala
index 52abd248f3a..7a199931a08 100644
index 52abd248f3a..b4e096cae24 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala
@@ -19,6 +19,7 @@ package org.apache.spark.sql.hive
Expand All @@ -3067,12 +3067,15 @@ index 52abd248f3a..7a199931a08 100644
import org.apache.spark.sql.execution._
import org.apache.spark.sql.execution.adaptive.{DisableAdaptiveExecutionSuite, EnableAdaptiveExecutionSuite}
import org.apache.spark.sql.hive.execution.HiveTableScanExec
@@ -35,6 +36,9 @@ abstract class DynamicPartitionPruningHiveScanSuiteBase
@@ -35,6 +36,12 @@ abstract class DynamicPartitionPruningHiveScanSuiteBase
case s: FileSourceScanExec => s.partitionFilters.collect {
case d: DynamicPruningExpression => d.child
}
+ case s: CometScanExec => s.partitionFilters.collect {
+ case d: DynamicPruningExpression => d.child
+ }
+ case s: CometNativeScanExec => s.partitionFilters.collect {
+ case d: DynamicPruningExpression => d.child
+ }
case h: HiveTableScanExec => h.partitionPruningPred.collect {
case d: DynamicPruningExpression => d.child
Expand Down
50 changes: 32 additions & 18 deletions dev/diffs/3.5.8.diff
Original file line number Diff line number Diff line change
Expand Up @@ -398,28 +398,39 @@ index c4fb4fa943c..a04b23870a8 100644
assert(exchanges.size == 2)
}
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala
index f33432ddb6f..7122af0d414 100644
index f33432ddb6f..579a9c271de 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala
@@ -22,6 +22,7 @@ import org.scalatest.GivenWhenThen
import org.apache.spark.sql.catalyst.expressions.{DynamicPruningExpression, Expression}
import org.apache.spark.sql.catalyst.expressions.CodegenObjectFactoryMode._
import org.apache.spark.sql.catalyst.plans.ExistenceJoin
+import org.apache.spark.sql.comet.CometScanExec
+import org.apache.spark.sql.comet.{CometNativeScanExec, CometScanExec, CometSubqueryBroadcastExec}
import org.apache.spark.sql.connector.catalog.{InMemoryTableCatalog, InMemoryTableWithV2FilterCatalog}
import org.apache.spark.sql.execution._
import org.apache.spark.sql.execution.adaptive._
@@ -262,6 +263,9 @@ abstract class DynamicPartitionPruningSuiteBase
@@ -193,6 +194,7 @@ abstract class DynamicPartitionPruningSuiteBase
}
val subqueryBroadcast = dpExprs.collect {
case InSubqueryExec(_, b: SubqueryBroadcastExec, _, _, _, _) => b
+ case InSubqueryExec(_, b: CometSubqueryBroadcastExec, _, _, _, _) => b
}

val hasFilter = if (withSubquery) "Should" else "Shouldn't"
@@ -262,6 +264,12 @@ abstract class DynamicPartitionPruningSuiteBase
case s: BatchScanExec => s.runtimeFilters.collect {
case d: DynamicPruningExpression => d.child
}
+ case s: CometScanExec => s.partitionFilters.collect {
+ case d: DynamicPruningExpression => d.child
+ }
+ case s: CometNativeScanExec => s.partitionFilters.collect {
+ case d: DynamicPruningExpression => d.child
+ }
case _ => Nil
}
}
@@ -1027,7 +1031,8 @@ abstract class DynamicPartitionPruningSuiteBase
@@ -1027,7 +1035,8 @@ abstract class DynamicPartitionPruningSuiteBase
}
}

Expand All @@ -429,7 +440,7 @@ index f33432ddb6f..7122af0d414 100644
withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "false",
SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1") {
withTable("large", "dimTwo", "dimThree") {
@@ -1215,7 +1220,8 @@ abstract class DynamicPartitionPruningSuiteBase
@@ -1215,7 +1224,8 @@ abstract class DynamicPartitionPruningSuiteBase
}

test("SPARK-32509: Unused Dynamic Pruning filter shouldn't affect " +
Expand All @@ -439,7 +450,7 @@ index f33432ddb6f..7122af0d414 100644
withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "true") {
withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1") {
val df = sql(
@@ -1423,7 +1429,8 @@ abstract class DynamicPartitionPruningSuiteBase
@@ -1423,7 +1433,8 @@ abstract class DynamicPartitionPruningSuiteBase
}
}

Expand All @@ -449,7 +460,7 @@ index f33432ddb6f..7122af0d414 100644
withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "true") {
val df = sql(
""" WITH v as (
@@ -1698,7 +1705,8 @@ abstract class DynamicPartitionPruningV1Suite extends DynamicPartitionPruningDat
@@ -1698,7 +1709,8 @@ abstract class DynamicPartitionPruningV1Suite extends DynamicPartitionPruningDat
* Check the static scan metrics with and without DPP
*/
test("static scan metrics",
Expand All @@ -459,7 +470,7 @@ index f33432ddb6f..7122af0d414 100644
withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_ENABLED.key -> "true",
SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "false",
SQLConf.EXCHANGE_REUSE_ENABLED.key -> "false") {
@@ -1729,6 +1737,8 @@ abstract class DynamicPartitionPruningV1Suite extends DynamicPartitionPruningDat
@@ -1729,6 +1741,8 @@ abstract class DynamicPartitionPruningV1Suite extends DynamicPartitionPruningDat
case s: BatchScanExec =>
// we use f1 col for v2 tables due to schema pruning
s.output.exists(_.exists(_.argString(maxFields = 100).contains("f1")))
Expand Down Expand Up @@ -928,7 +939,7 @@ index c26757c9cff..d55775f09d7 100644
protected val baseResourcePath = {
// use the same way as `SQLQueryTestSuite` to get the resource path
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
index 3cf2bfd17ab..49728c35c42 100644
index 3cf2bfd17ab..b1c1e41e6a9 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
@@ -1521,7 +1521,8 @@ class SQLQuerySuite extends QueryTest with SharedSparkSession with AdaptiveSpark
Expand Down Expand Up @@ -1420,7 +1431,7 @@ index 5a413c77754..207b66e1d7b 100644

import testImplicits._
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
index 2f8e401e743..a4f94417dcc 100644
index 2f8e401e743..dbcf3171946 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
@@ -27,9 +27,11 @@ import org.scalatest.time.SpanSugar._
Expand Down Expand Up @@ -1782,15 +1793,15 @@ index 2f8e401e743..a4f94417dcc 100644
CostEvaluator.instantiate(
classOf[SimpleShuffleSortCostEvaluator].getCanonicalName, spark.sparkContext.getConf)
intercept[IllegalArgumentException] {
@@ -2452,6 +2493,7 @@ class AdaptiveQueryExecSuite
@@ -2452,6 +2492,7 @@ class AdaptiveQueryExecSuite
val (_, adaptive) = runAdaptiveAndVerifyResult(query)
assert(adaptive.collect {
case sort: SortExec => sort
+ case sort: CometSortExec => sort
}.size == 1)
val read = collect(adaptive) {
case read: AQEShuffleReadExec => read
@@ -2469,7 +2511,8 @@ class AdaptiveQueryExecSuite
@@ -2469,7 +2510,8 @@ class AdaptiveQueryExecSuite
}
}

Expand All @@ -1800,7 +1811,7 @@ index 2f8e401e743..a4f94417dcc 100644
withTempView("v") {
withSQLConf(
SQLConf.ADAPTIVE_OPTIMIZE_SKEWS_IN_REBALANCE_PARTITIONS_ENABLED.key -> "true",
@@ -2581,7 +2624,7 @@ class AdaptiveQueryExecSuite
@@ -2581,7 +2623,7 @@ class AdaptiveQueryExecSuite
runAdaptiveAndVerifyResult("SELECT key1 FROM skewData1 JOIN skewData2 ON key1 = key2 " +
"JOIN skewData3 ON value2 = value3")
val shuffles1 = collect(adaptive1) {
Expand All @@ -1809,7 +1820,7 @@ index 2f8e401e743..a4f94417dcc 100644
}
assert(shuffles1.size == 4)
val smj1 = findTopLevelSortMergeJoin(adaptive1)
@@ -2592,7 +2635,7 @@ class AdaptiveQueryExecSuite
@@ -2592,7 +2634,7 @@ class AdaptiveQueryExecSuite
runAdaptiveAndVerifyResult("SELECT key1 FROM skewData1 JOIN skewData2 ON key1 = key2 " +
"JOIN skewData3 ON value1 = value3")
val shuffles2 = collect(adaptive2) {
Expand All @@ -1818,15 +1829,15 @@ index 2f8e401e743..a4f94417dcc 100644
}
assert(shuffles2.size == 4)
val smj2 = findTopLevelSortMergeJoin(adaptive2)
@@ -2850,6 +2893,7 @@ class AdaptiveQueryExecSuite
@@ -2850,6 +2892,7 @@ class AdaptiveQueryExecSuite
}.size == (if (firstAccess) 1 else 0))
assert(collect(initialExecutedPlan) {
case s: SortExec => s
+ case s: CometSortExec => s
}.size == (if (firstAccess) 2 else 0))
assert(collect(initialExecutedPlan) {
case i: InMemoryTableScanLike => i
@@ -2980,7 +3024,9 @@ class AdaptiveQueryExecSuite
@@ -2980,7 +3023,9 @@ class AdaptiveQueryExecSuite

val plan = df.queryExecution.executedPlan.asInstanceOf[AdaptiveSparkPlanExec]
assert(plan.inputPlan.isInstanceOf[TakeOrderedAndProjectExec])
Expand Down Expand Up @@ -2973,7 +2984,7 @@ index c63c748953f..7edca9c93a6 100644
implicit val formats = new DefaultFormats {
override def dateFormatter = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss")
diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala
index 52abd248f3a..7a199931a08 100644
index 52abd248f3a..b4e096cae24 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala
@@ -19,6 +19,7 @@ package org.apache.spark.sql.hive
Expand All @@ -2984,12 +2995,15 @@ index 52abd248f3a..7a199931a08 100644
import org.apache.spark.sql.execution._
import org.apache.spark.sql.execution.adaptive.{DisableAdaptiveExecutionSuite, EnableAdaptiveExecutionSuite}
import org.apache.spark.sql.hive.execution.HiveTableScanExec
@@ -35,6 +36,9 @@ abstract class DynamicPartitionPruningHiveScanSuiteBase
@@ -35,6 +36,12 @@ abstract class DynamicPartitionPruningHiveScanSuiteBase
case s: FileSourceScanExec => s.partitionFilters.collect {
case d: DynamicPruningExpression => d.child
}
+ case s: CometScanExec => s.partitionFilters.collect {
+ case d: DynamicPruningExpression => d.child
+ }
+ case s: CometNativeScanExec => s.partitionFilters.collect {
+ case d: DynamicPruningExpression => d.child
+ }
case h: HiveTableScanExec => h.partitionPruningPred.collect {
case d: DynamicPruningExpression => d.child
Expand Down
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