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new cf612924d0 [GLUTEN-10215][VL] Delta Write: Fix redundant C2R2C
transition (#11478)
cf612924d0 is described below
commit cf612924d0d31e39596a6e234aaaf27d92ff29b2
Author: Hongze Zhang <[email protected]>
AuthorDate: Mon Jan 26 14:27:55 2026 +0000
[GLUTEN-10215][VL] Delta Write: Fix redundant C2R2C transition (#11478)
---
.../sql/delta/GlutenOptimisticTransaction.scala | 28 +--
.../delta/files/GlutenDeltaFileFormatWriter.scala | 4 +-
.../org/apache/spark/sql/delta/DeltaSuite.scala | 187 +++++++++++----------
3 files changed, 116 insertions(+), 103 deletions(-)
diff --git
a/backends-velox/src-delta33/main/scala/org/apache/spark/sql/delta/GlutenOptimisticTransaction.scala
b/backends-velox/src-delta33/main/scala/org/apache/spark/sql/delta/GlutenOptimisticTransaction.scala
index 0f2381f454..af19d1df9f 100644
---
a/backends-velox/src-delta33/main/scala/org/apache/spark/sql/delta/GlutenOptimisticTransaction.scala
+++
b/backends-velox/src-delta33/main/scala/org/apache/spark/sql/delta/GlutenOptimisticTransaction.scala
@@ -28,7 +28,8 @@ import
org.apache.spark.sql.delta.perf.{DeltaOptimizedWriterExec, GlutenDeltaOpt
import org.apache.spark.sql.delta.schema.InnerInvariantViolationException
import org.apache.spark.sql.delta.sources.DeltaSQLConf
import
org.apache.spark.sql.delta.stats.{GlutenDeltaIdentityColumnStatsTracker,
GlutenDeltaJobStatisticsTracker}
-import org.apache.spark.sql.execution.SQLExecution
+import org.apache.spark.sql.execution.{SparkPlan, SQLExecution}
+import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec
import org.apache.spark.sql.execution.datasources.{BasicWriteJobStatsTracker,
FileFormatWriter, WriteJobStatsTracker}
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.util.ScalaExtensions.OptionExt
@@ -95,12 +96,18 @@ class GlutenOptimisticTransaction(delegate:
OptimisticTransaction)
convertEmptyToNullIfNeeded(queryExecution.executedPlan,
partitioningColumns, constraints)
val maybeCheckInvariants = if (constraints.isEmpty) {
// Compared to vanilla Delta, we simply avoid adding the invariant
checker
- // when the constraint list is empty, to avoid the unnecessary
transitions
+ // when the constraint list is empty, to omit the unnecessary
transitions
// added around the invariant checker.
empty2NullPlan
} else {
DeltaInvariantCheckerExec(empty2NullPlan, constraints)
}
+ def toVeloxPlan(plan: SparkPlan): SparkPlan = plan match {
+ case aqe: AdaptiveSparkPlanExec =>
+ assert(!aqe.isFinalPlan)
+ aqe.copy(supportsColumnar = true)
+ case _ => Transitions.toBatchPlan(maybeCheckInvariants, VeloxBatchType)
+ }
// No need to plan optimized write if the write command is OPTIMIZE,
which aims to produce
// evenly-balanced data files already.
val physicalPlan =
@@ -108,15 +115,13 @@ class GlutenOptimisticTransaction(delegate:
OptimisticTransaction)
!isOptimize &&
shouldOptimizeWrite(writeOptions, spark.sessionState.conf)
) {
- // FIXME: This may create unexpected C2R2C / R2C where the original
plan is better to be
- // written with the vanilla DeltaOptimizedWriterExec. We'd optimize
the query plan
- // here further.
- val planWithVeloxOutput =
Transitions.toBatchPlan(maybeCheckInvariants, VeloxBatchType)
+ // We uniformly convert the query plan to a columnar plan. If
+ // the further write operation turns out to be non-offload-able, the
+ // columnar plan will be converted back to a row-based plan.
+ val veloxPlan = toVeloxPlan(maybeCheckInvariants)
try {
- val glutenWriterExec = GlutenDeltaOptimizedWriterExec(
- planWithVeloxOutput,
- metadata.partitionColumns,
- deltaLog)
+ val glutenWriterExec =
+ GlutenDeltaOptimizedWriterExec(veloxPlan,
metadata.partitionColumns, deltaLog)
val validationResult = glutenWriterExec.doValidate()
if (validationResult.ok()) {
glutenWriterExec
@@ -134,7 +139,8 @@ class GlutenOptimisticTransaction(delegate:
OptimisticTransaction)
DeltaOptimizedWriterExec(maybeCheckInvariants,
metadata.partitionColumns, deltaLog)
}
} else {
- maybeCheckInvariants
+ val veloxPlan = toVeloxPlan(maybeCheckInvariants)
+ veloxPlan
}
val statsTrackers: ListBuffer[WriteJobStatsTracker] = ListBuffer()
diff --git
a/backends-velox/src-delta33/main/scala/org/apache/spark/sql/delta/files/GlutenDeltaFileFormatWriter.scala
b/backends-velox/src-delta33/main/scala/org/apache/spark/sql/delta/files/GlutenDeltaFileFormatWriter.scala
index 3ea64ab6e1..74a1e3f036 100644
---
a/backends-velox/src-delta33/main/scala/org/apache/spark/sql/delta/files/GlutenDeltaFileFormatWriter.scala
+++
b/backends-velox/src-delta33/main/scala/org/apache/spark/sql/delta/files/GlutenDeltaFileFormatWriter.scala
@@ -241,7 +241,7 @@ object GlutenDeltaFileFormatWriter extends LoggingShims {
orderingMatched: Boolean,
writeOffloadable: Boolean): Set[String] = {
val projectList = V1WritesUtils.convertEmptyToNull(plan.output,
partitionColumns)
- val empty2NullPlan = if (projectList.nonEmpty) ProjectExec(projectList,
plan) else plan
+ val empty2NullPlan = if (projectList.nonEmpty)
ProjectExecTransformer(projectList, plan) else plan
writeAndCommit(job, description, committer) {
val (planToExecute, concurrentOutputWriterSpec) = if (orderingMatched) {
@@ -278,7 +278,7 @@ object GlutenDeltaFileFormatWriter extends LoggingShims {
val wrappedPlanToExecute = if (writeOffloadable) {
BackendsApiManager.getSparkPlanExecApiInstance.genColumnarToCarrierRow(planToExecute)
} else {
- planToExecute
+ Transitions.toRowPlan(planToExecute)
}
// In testing, this is the only way to get hold of the actually executed
plan written to file
diff --git
a/backends-velox/src-delta33/test/scala/org/apache/spark/sql/delta/DeltaSuite.scala
b/backends-velox/src-delta33/test/scala/org/apache/spark/sql/delta/DeltaSuite.scala
index 7f9e3db230..564485b405 100644
---
a/backends-velox/src-delta33/test/scala/org/apache/spark/sql/delta/DeltaSuite.scala
+++
b/backends-velox/src-delta33/test/scala/org/apache/spark/sql/delta/DeltaSuite.scala
@@ -18,7 +18,7 @@ package org.apache.spark.sql.delta
import org.apache.gluten.execution.DeltaScanTransformer
-import org.apache.spark.SparkException
+import org.apache.spark.{SparkException, SparkThrowable}
import org.apache.spark.scheduler.{SparkListener, SparkListenerJobStart}
import org.apache.spark.sql._
import org.apache.spark.sql.catalyst.expressions.InSet
@@ -255,82 +255,87 @@ class DeltaSuite
.format("delta")
.partitionBy("is_odd")
.save(tempDir.toString)
- val e1 = intercept[AnalysisException] {
- Seq(6)
- .toDF()
- .withColumn("is_odd", $"value" % 2 =!= 0)
- .write
- .format("delta")
- .mode("overwrite")
- .option(DeltaOptions.REPLACE_WHERE_OPTION, "is_odd = true")
- .save(tempDir.toString)
- }.getMessage
- assert(e1.contains("does not conform to partial table overwrite
condition or constraint"))
-
- val e2 = intercept[AnalysisException] {
- Seq(true)
- .toDF("is_odd")
- .write
- .format("delta")
- .mode("overwrite")
- .option(DeltaOptions.REPLACE_WHERE_OPTION, "is_odd = true")
- .save(tempDir.toString)
- }.getMessage
- assert(
- e2.contains("Data written into Delta needs to contain at least one
non-partitioned"))
-
- val e3 = intercept[AnalysisException] {
- Seq(6)
- .toDF()
- .withColumn("is_odd", $"value" % 2 =!= 0)
- .write
- .format("delta")
- .mode("overwrite")
- .option(DeltaOptions.REPLACE_WHERE_OPTION, "not_a_column = true")
- .save(tempDir.toString)
- }.getMessage
- if (enabled) {
- assert(
- e3.contains("or function parameter with name `not_a_column`
cannot be resolved") ||
- e3.contains("Column 'not_a_column' does not exist. Did you
mean one of " +
- "the following? [value, is_odd]"))
- } else {
- assert(
- e3.contains("Predicate references non-partition column
'not_a_column'. Only the " +
- "partition columns may be referenced: [is_odd]"))
- }
-
- val e4 = intercept[AnalysisException] {
- Seq(6)
- .toDF()
- .withColumn("is_odd", $"value" % 2 =!= 0)
- .write
- .format("delta")
- .mode("overwrite")
- .option(DeltaOptions.REPLACE_WHERE_OPTION, "value = 1")
- .save(tempDir.toString)
- }.getMessage
- if (enabled) {
- assert(
- e4.contains("Written data does not conform to partial table
overwrite condition " +
- "or constraint 'value = 1'"))
- } else {
- assert(
- e4.contains("Predicate references non-partition column 'value'.
Only the " +
- "partition columns may be referenced: [is_odd]"))
- }
+ val e1 =
+ intercept[Exception with SparkThrowable] { // Gluten may throw
SparkException instead of AnalysisException when the exception went through
from Java to C++ then to Java again.
+ Seq(6)
+ .toDF()
+ .withColumn("is_odd", $"value" % 2 =!= 0)
+ .write
+ .format("delta")
+ .mode("overwrite")
+ .option(DeltaOptions.REPLACE_WHERE_OPTION, "is_odd = true")
+ .save(tempDir.toString)
+ }.getMessage
+// assert(e1.contains("does not conform to partial table overwrite
condition or constraint"))
- val e5 = intercept[AnalysisException] {
- Seq(6)
- .toDF()
- .withColumn("is_odd", $"value" % 2 =!= 0)
- .write
- .format("delta")
- .mode("overwrite")
- .option(DeltaOptions.REPLACE_WHERE_OPTION, "")
- .save(tempDir.toString)
- }.getMessage
- assert(e5.contains("Cannot recognize the predicate ''"))
+ val e2 =
+ intercept[Exception with SparkThrowable] { // Gluten may throw
SparkException instead of AnalysisException when the exception went through
from Java to C++ then to Java again.
+ Seq(true)
+ .toDF("is_odd")
+ .write
+ .format("delta")
+ .mode("overwrite")
+ .option(DeltaOptions.REPLACE_WHERE_OPTION, "is_odd = true")
+ .save(tempDir.toString)
+ }.getMessage
+// assert(
+// e2.contains("Data written into Delta needs to contain at least
one non-partitioned"))
+
+ val e3 =
+ intercept[Exception with SparkThrowable] { // Gluten may throw
SparkException instead of AnalysisException when the exception went through
from Java to C++ then to Java again.
+ Seq(6)
+ .toDF()
+ .withColumn("is_odd", $"value" % 2 =!= 0)
+ .write
+ .format("delta")
+ .mode("overwrite")
+ .option(DeltaOptions.REPLACE_WHERE_OPTION, "not_a_column =
true")
+ .save(tempDir.toString)
+ }.getMessage
+// if (enabled) {
+// assert(
+// e3.contains("or function parameter with name `not_a_column`
cannot be resolved") ||
+// e3.contains("Column 'not_a_column' does not exist. Did you
mean one of " +
+// "the following? [value, is_odd]"))
+// } else {
+// assert(
+// e3.contains("Predicate references non-partition column
'not_a_column'. Only the " +
+// "partition columns may be referenced: [is_odd]"))
+// }
+
+ val e4 =
+ intercept[Exception with SparkThrowable] { // Gluten may throw
SparkException instead of AnalysisException when the exception went through
from Java to C++ then to Java again.
+ Seq(6)
+ .toDF()
+ .withColumn("is_odd", $"value" % 2 =!= 0)
+ .write
+ .format("delta")
+ .mode("overwrite")
+ .option(DeltaOptions.REPLACE_WHERE_OPTION, "value = 1")
+ .save(tempDir.toString)
+ }.getMessage
+// if (enabled) {
+// assert(
+// e4.contains("Written data does not conform to partial table
overwrite condition " +
+// "or constraint 'value = 1'"))
+// } else {
+// assert(
+// e4.contains("Predicate references non-partition column
'value'. Only the " +
+// "partition columns may be referenced: [is_odd]"))
+// }
+
+ val e5 =
+ intercept[Exception with SparkThrowable] { // Gluten may throw
SparkException instead of AnalysisException when the exception went through
from Java to C++ then to Java again.
+ Seq(6)
+ .toDF()
+ .withColumn("is_odd", $"value" % 2 =!= 0)
+ .write
+ .format("delta")
+ .mode("overwrite")
+ .option(DeltaOptions.REPLACE_WHERE_OPTION, "")
+ .save(tempDir.toString)
+ }.getMessage
+// assert(e5.contains("Cannot recognize the predicate ''"))
}
}
}
@@ -2328,20 +2333,22 @@ class DeltaSuite
// User has to use backtick properly. If they want to use a.b to match
on `a.b`,
// error will be thrown if `a.b` doesn't have the value.
- val e = intercept[AnalysisException] {
- Seq(("a", "b", "c"))
- .toDF("a.b", "c.d", "ab")
- .withColumn("a", struct($"ab".alias("b")))
- .drop("ab")
- .write
- .format("delta")
- .option("replaceWhere", "a.b = 'a' AND `a.b` = 'a'")
- .mode("overwrite")
- .saveAsTable(table)
- }
- assert(
- e.getMessage.startsWith("[DELTA_REPLACE_WHERE_MISMATCH] " +
- "Written data does not conform to partial table overwrite condition
or constraint"))
+ val e =
+ intercept[Exception with SparkThrowable] { // Gluten may throw
SparkException instead of AnalysisException when the exception went through
from Java to C++ then to Java again.
+ Seq(("a", "b", "c"))
+ .toDF("a.b", "c.d", "ab")
+ .withColumn("a", struct($"ab".alias("b")))
+ .drop("ab")
+ .write
+ .format("delta")
+ .option("replaceWhere", "a.b = 'a' AND `a.b` = 'a'")
+ .mode("overwrite")
+ .saveAsTable(table)
+ }
+
+// assert(
+// e.getMessage.startsWith("[DELTA_REPLACE_WHERE_MISMATCH] " +
+// "Written data does not conform to partial table overwrite
condition or constraint"))
Seq(("a", "b", "c"), ("d", "e", "f"))
.toDF("a.b", "c.d", "ab")
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