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Have average support nulls for 3.2.0 #3503

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Sep 16, 2021
Merged

Have average support nulls for 3.2.0 #3503

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16 changes: 15 additions & 1 deletion shims/spark301/src/main/scala/com/nvidia/spark/rapids/shims/spark301/SparkBaseShims.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,7 @@ import org.apache.spark.sql.catalyst.catalog.{CatalogTable, SessionCatalog}
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.catalyst.errors.attachTree
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.aggregate.Average
import org.apache.spark.sql.catalyst.plans.JoinType
import org.apache.spark.sql.catalyst.plans.physical.{BroadcastMode, Partitioning}
import org.apache.spark.sql.catalyst.trees.TreeNode
Expand All @@ -54,7 +55,7 @@ import org.apache.spark.sql.execution.joins.{BroadcastHashJoinExec, BroadcastNes
import org.apache.spark.sql.execution.python.{AggregateInPandasExec, ArrowEvalPythonExec, FlatMapGroupsInPandasExec, MapInPandasExec, WindowInPandasExec}
import org.apache.spark.sql.execution.window.WindowExecBase
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.rapids.{GpuFileSourceScanExec, GpuStringReplace, GpuTimeSub}
import org.apache.spark.sql.rapids.{GpuAverage, GpuFileSourceScanExec, GpuStringReplace, GpuTimeSub}
import org.apache.spark.sql.rapids.execution.{GpuBroadcastExchangeExecBase, GpuBroadcastNestedLoopJoinExecBase, GpuShuffleExchangeExecBase, JoinTypeChecks, SerializeBatchDeserializeHostBuffer, SerializeConcatHostBuffersDeserializeBatch}
import org.apache.spark.sql.rapids.execution.python.GpuPythonUDF
import org.apache.spark.sql.rapids.execution.python.shims.spark301._
Expand Down Expand Up @@ -288,6 +289,19 @@ abstract class SparkBaseShims extends Spark30XShims {
"Convert a column of one type of data into another type",
new CastChecks(),
(cast, conf, p, r) => new CastExprMeta[AnsiCast](cast, true, conf, p, r)),
GpuOverrides.expr[Average](
"Average aggregate operator",
ExprChecks.fullAgg(
TypeSig.DOUBLE, TypeSig.DOUBLE + TypeSig.DECIMAL_128_FULL,
Seq(ParamCheck("input", TypeSig.integral + TypeSig.fp, TypeSig.numeric))),
(a, conf, p, r) => new AggExprMeta[Average](a, conf, p, r) {
override def tagExprForGpu(): Unit = {
val dataType = a.child.dataType
GpuOverrides.checkAndTagFloatAgg(dataType, conf, this)
}

override def convertToGpu(child: Expression): GpuExpression = GpuAverage(child)
}),
GpuOverrides.expr[RegExpReplace](
"RegExpReplace support for string literal input patterns",
ExprChecks.projectOnly(TypeSig.STRING, TypeSig.STRING,
Expand Down
16 changes: 15 additions & 1 deletion ...s/spark301db/src/main/scala/com/nvidia/spark/rapids/shims/spark301db/SparkBaseShims.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,7 @@ import org.apache.spark.sql.catalyst.catalog.{CatalogTable, SessionCatalog}
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.catalyst.errors.attachTree
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.aggregate.Average
import org.apache.spark.sql.catalyst.plans.JoinType
import org.apache.spark.sql.catalyst.plans.physical.{BroadcastMode, Partitioning}
import org.apache.spark.sql.catalyst.trees.TreeNode
Expand All @@ -56,7 +57,7 @@ import org.apache.spark.sql.execution.joins._
import org.apache.spark.sql.execution.python._
import org.apache.spark.sql.execution.window.WindowExecBase
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.rapids.{GpuFileSourceScanExec, GpuStringReplace, GpuTimeSub}
import org.apache.spark.sql.rapids.{GpuAverage, GpuFileSourceScanExec, GpuStringReplace, GpuTimeSub}
import org.apache.spark.sql.rapids.execution.{GpuBroadcastExchangeExecBase, GpuBroadcastNestedLoopJoinExecBase, GpuShuffleExchangeExecBase, JoinTypeChecks, SerializeBatchDeserializeHostBuffer, SerializeConcatHostBuffersDeserializeBatch, TrampolineUtil}
import org.apache.spark.sql.rapids.execution.python.{GpuFlatMapGroupsInPandasExecMeta, GpuPythonUDF}
import org.apache.spark.sql.rapids.execution.python.shims.spark301db._
Expand Down Expand Up @@ -311,6 +312,19 @@ abstract class SparkBaseShims extends Spark30XShims {
"Convert a column of one type of data into another type",
new CastChecks(),
(cast, conf, p, r) => new CastExprMeta[AnsiCast](cast, true, conf, p, r)),
GpuOverrides.expr[Average](
"Average aggregate operator",
ExprChecks.fullAgg(
TypeSig.DOUBLE, TypeSig.DOUBLE + TypeSig.DECIMAL_128_FULL,
Seq(ParamCheck("input", TypeSig.integral + TypeSig.fp, TypeSig.numeric))),
(a, conf, p, r) => new AggExprMeta[Average](a, conf, p, r) {
override def tagExprForGpu(): Unit = {
val dataType = a.child.dataType
GpuOverrides.checkAndTagFloatAgg(dataType, conf, this)
}

override def convertToGpu(child: Expression): GpuExpression = GpuAverage(child)
}),
GpuOverrides.expr[RegExpReplace](
"RegExpReplace support for string literal input patterns",
ExprChecks.projectOnly(TypeSig.STRING, TypeSig.STRING,
Expand Down
16 changes: 15 additions & 1 deletion shims/spark302/src/main/scala/com/nvidia/spark/rapids/shims/spark302/SparkBaseShims.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,7 @@ import org.apache.spark.sql.catalyst.catalog.{CatalogTable, SessionCatalog}
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.catalyst.errors.attachTree
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.aggregate.Average
import org.apache.spark.sql.catalyst.plans.JoinType
import org.apache.spark.sql.catalyst.plans.physical.{BroadcastMode, Partitioning}
import org.apache.spark.sql.catalyst.trees.TreeNode
Expand All @@ -54,7 +55,7 @@ import org.apache.spark.sql.execution.joins.{BroadcastHashJoinExec, BroadcastNes
import org.apache.spark.sql.execution.python.{AggregateInPandasExec, ArrowEvalPythonExec, FlatMapGroupsInPandasExec, MapInPandasExec, WindowInPandasExec}
import org.apache.spark.sql.execution.window.WindowExecBase
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.rapids.{GpuFileSourceScanExec, GpuStringReplace, GpuTimeSub}
import org.apache.spark.sql.rapids.{GpuAverage, GpuFileSourceScanExec, GpuStringReplace, GpuTimeSub}
import org.apache.spark.sql.rapids.execution.{GpuBroadcastExchangeExecBase, GpuBroadcastNestedLoopJoinExecBase, GpuShuffleExchangeExecBase, JoinTypeChecks, SerializeBatchDeserializeHostBuffer, SerializeConcatHostBuffersDeserializeBatch}
import org.apache.spark.sql.rapids.execution.python.GpuPythonUDF
import org.apache.spark.sql.rapids.execution.python.shims.spark302._
Expand Down Expand Up @@ -288,6 +289,19 @@ abstract class SparkBaseShims extends Spark30XShims {
"Convert a column of one type of data into another type",
new CastChecks(),
(cast, conf, p, r) => new CastExprMeta[AnsiCast](cast, true, conf, p, r)),
GpuOverrides.expr[Average](
"Average aggregate operator",
ExprChecks.fullAgg(
TypeSig.DOUBLE, TypeSig.DOUBLE + TypeSig.DECIMAL_128_FULL,
Seq(ParamCheck("input", TypeSig.integral + TypeSig.fp, TypeSig.numeric))),
(a, conf, p, r) => new AggExprMeta[Average](a, conf, p, r) {
override def tagExprForGpu(): Unit = {
val dataType = a.child.dataType
GpuOverrides.checkAndTagFloatAgg(dataType, conf, this)
}

override def convertToGpu(child: Expression): GpuExpression = GpuAverage(child)
}),
GpuOverrides.expr[RegExpReplace](
"RegExpReplace support for string literal input patterns",
ExprChecks.projectOnly(TypeSig.STRING, TypeSig.STRING,
Expand Down
16 changes: 15 additions & 1 deletion shims/spark303/src/main/scala/com/nvidia/spark/rapids/shims/spark303/SparkBaseShims.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,7 @@ import org.apache.spark.sql.catalyst.catalog.{CatalogTable, SessionCatalog}
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.catalyst.errors.attachTree
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.aggregate.Average
import org.apache.spark.sql.catalyst.plans.JoinType
import org.apache.spark.sql.catalyst.plans.physical.{BroadcastMode, Partitioning}
import org.apache.spark.sql.catalyst.trees.TreeNode
Expand All @@ -54,7 +55,7 @@ import org.apache.spark.sql.execution.joins.{BroadcastHashJoinExec, BroadcastNes
import org.apache.spark.sql.execution.python.{AggregateInPandasExec, ArrowEvalPythonExec, FlatMapGroupsInPandasExec, MapInPandasExec, WindowInPandasExec}
import org.apache.spark.sql.execution.window.WindowExecBase
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.rapids.{GpuFileSourceScanExec, GpuStringReplace, GpuTimeSub}
import org.apache.spark.sql.rapids.{GpuAverage, GpuFileSourceScanExec, GpuStringReplace, GpuTimeSub}
import org.apache.spark.sql.rapids.execution.{GpuBroadcastExchangeExecBase, GpuBroadcastNestedLoopJoinExecBase, GpuShuffleExchangeExecBase, JoinTypeChecks, SerializeBatchDeserializeHostBuffer, SerializeConcatHostBuffersDeserializeBatch}
import org.apache.spark.sql.rapids.execution.python.GpuPythonUDF
import org.apache.spark.sql.rapids.execution.python.shims.spark303._
Expand Down Expand Up @@ -288,6 +289,19 @@ abstract class SparkBaseShims extends Spark30XShims {
"Convert a column of one type of data into another type",
new CastChecks(),
(cast, conf, p, r) => new CastExprMeta[AnsiCast](cast, true, conf, p, r)),
GpuOverrides.expr[Average](
"Average aggregate operator",
ExprChecks.fullAgg(
TypeSig.DOUBLE, TypeSig.DOUBLE + TypeSig.DECIMAL_128_FULL,
Seq(ParamCheck("input", TypeSig.integral + TypeSig.fp, TypeSig.numeric))),
(a, conf, p, r) => new AggExprMeta[Average](a, conf, p, r) {
override def tagExprForGpu(): Unit = {
val dataType = a.child.dataType
GpuOverrides.checkAndTagFloatAgg(dataType, conf, this)
}

override def convertToGpu(child: Expression): GpuExpression = GpuAverage(child)
}),
GpuOverrides.expr[RegExpReplace](
"RegExpReplace support for string literal input patterns",
ExprChecks.projectOnly(TypeSig.STRING, TypeSig.STRING,
Expand Down
16 changes: 15 additions & 1 deletion shims/spark304/src/main/scala/com/nvidia/spark/rapids/shims/spark304/SparkBaseShims.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,7 @@ import org.apache.spark.sql.catalyst.catalog.{CatalogTable, SessionCatalog}
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.catalyst.errors.attachTree
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.aggregate.Average
import org.apache.spark.sql.catalyst.plans.JoinType
import org.apache.spark.sql.catalyst.plans.physical.{BroadcastMode, Partitioning}
import org.apache.spark.sql.catalyst.trees.TreeNode
Expand All @@ -53,7 +54,7 @@ import org.apache.spark.sql.execution.joins.{BroadcastHashJoinExec, BroadcastNes
import org.apache.spark.sql.execution.python.{AggregateInPandasExec, ArrowEvalPythonExec, FlatMapGroupsInPandasExec, MapInPandasExec, WindowInPandasExec}
import org.apache.spark.sql.execution.window.WindowExecBase
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.rapids.{GpuFileSourceScanExec, GpuStringReplace, GpuTimeSub}
import org.apache.spark.sql.rapids.{GpuAverage, GpuFileSourceScanExec, GpuStringReplace, GpuTimeSub}
import org.apache.spark.sql.rapids.execution.{GpuBroadcastExchangeExecBase, GpuBroadcastNestedLoopJoinExecBase, GpuShuffleExchangeExecBase, JoinTypeChecks, SerializeBatchDeserializeHostBuffer, SerializeConcatHostBuffersDeserializeBatch}
import org.apache.spark.sql.rapids.execution.python.GpuPythonUDF
import org.apache.spark.sql.rapids.execution.python.shims.spark304._
Expand Down Expand Up @@ -288,6 +289,19 @@ abstract class SparkBaseShims extends Spark30XShims {
"Convert a column of one type of data into another type",
new CastChecks(),
(cast, conf, p, r) => new CastExprMeta[AnsiCast](cast, true, conf, p, r)),
GpuOverrides.expr[Average](
"Average aggregate operator",
ExprChecks.fullAgg(
TypeSig.DOUBLE, TypeSig.DOUBLE + TypeSig.DECIMAL_128_FULL,
Seq(ParamCheck("input", TypeSig.integral + TypeSig.fp, TypeSig.numeric))),
(a, conf, p, r) => new AggExprMeta[Average](a, conf, p, r) {
override def tagExprForGpu(): Unit = {
val dataType = a.child.dataType
GpuOverrides.checkAndTagFloatAgg(dataType, conf, this)
}

override def convertToGpu(child: Expression): GpuExpression = GpuAverage(child)
}),
GpuOverrides.expr[RegExpReplace](
"RegExpReplace support for string literal input patterns",
ExprChecks.projectOnly(TypeSig.STRING, TypeSig.STRING,
Expand Down
14 changes: 14 additions & 0 deletions shims/spark311/src/main/scala/com/nvidia/spark/rapids/shims/spark311/SparkBaseShims.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,7 @@ import org.apache.spark.sql.catalyst.catalog.{CatalogTable, SessionCatalog}
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.catalyst.errors.attachTree
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.aggregate.Average
import org.apache.spark.sql.catalyst.plans.JoinType
import org.apache.spark.sql.catalyst.plans.physical.{BroadcastMode, Partitioning}
import org.apache.spark.sql.catalyst.trees.TreeNode
Expand Down Expand Up @@ -221,6 +222,19 @@ abstract class SparkBaseShims extends Spark30XShims {
super.tagExprForGpu()
}
}),
GpuOverrides.expr[Average](
"Average aggregate operator",
ExprChecks.fullAgg(
TypeSig.DOUBLE, TypeSig.DOUBLE + TypeSig.DECIMAL_128_FULL,
Seq(ParamCheck("input", TypeSig.integral + TypeSig.fp, TypeSig.numeric))),
(a, conf, p, r) => new AggExprMeta[Average](a, conf, p, r) {
override def tagExprForGpu(): Unit = {
val dataType = a.child.dataType
GpuOverrides.checkAndTagFloatAgg(dataType, conf, this)
}

override def convertToGpu(child: Expression): GpuExpression = GpuAverage(child)
}),
GpuOverrides.expr[RegExpReplace](
"RegExpReplace support for string literal input patterns",
ExprChecks.projectOnly(TypeSig.STRING, TypeSig.STRING,
Expand Down
14 changes: 14 additions & 0 deletions ...spark311cdh/src/main/scala/com/nvidia/spark/rapids/shims/spark311cdh/SparkBaseShims.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,7 @@ import org.apache.spark.sql.catalyst.catalog.{CatalogTable, SessionCatalog}
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.catalyst.errors.attachTree
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.aggregate.Average
import org.apache.spark.sql.catalyst.plans.JoinType
import org.apache.spark.sql.catalyst.plans.physical.{BroadcastMode, Partitioning}
import org.apache.spark.sql.catalyst.trees.TreeNode
Expand Down Expand Up @@ -235,6 +236,19 @@ abstract class SparkBaseShims extends Spark30XShims {
super.tagExprForGpu()
}
}),
GpuOverrides.expr[Average](
"Average aggregate operator",
ExprChecks.fullAgg(
TypeSig.DOUBLE, TypeSig.DOUBLE + TypeSig.DECIMAL_128_FULL,
Seq(ParamCheck("input", TypeSig.integral + TypeSig.fp, TypeSig.numeric))),
(a, conf, p, r) => new AggExprMeta[Average](a, conf, p, r) {
override def tagExprForGpu(): Unit = {
val dataType = a.child.dataType
GpuOverrides.checkAndTagFloatAgg(dataType, conf, this)
}

override def convertToGpu(child: Expression): GpuExpression = GpuAverage(child)
}),
GpuOverrides.expr[RegExpReplace](
"RegExpReplace support for string literal input patterns",
ExprChecks.projectOnly(TypeSig.STRING, TypeSig.STRING,
Expand Down
14 changes: 14 additions & 0 deletions ...s/spark311db/src/main/scala/com/nvidia/spark/rapids/shims/spark311db/SparkBaseShims.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -39,6 +39,7 @@ import org.apache.spark.sql.catalyst.catalog.{CatalogTable, SessionCatalog}
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.catalyst.errors.attachTree
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.aggregate.Average
import org.apache.spark.sql.catalyst.plans.JoinType
import org.apache.spark.sql.catalyst.plans.physical.{BroadcastMode, Partitioning}
import org.apache.spark.sql.catalyst.trees.TreeNode
Expand Down Expand Up @@ -207,6 +208,19 @@ abstract class SparkBaseShims extends Spark30XShims {
super.tagExprForGpu()
}
}),
GpuOverrides.expr[Average](
"Average aggregate operator",
ExprChecks.fullAgg(
TypeSig.DOUBLE, TypeSig.DOUBLE + TypeSig.DECIMAL_128_FULL,
Seq(ParamCheck("input", TypeSig.integral + TypeSig.fp, TypeSig.numeric))),
(a, conf, p, r) => new AggExprMeta[Average](a, conf, p, r) {
override def tagExprForGpu(): Unit = {
val dataType = a.child.dataType
GpuOverrides.checkAndTagFloatAgg(dataType, conf, this)
}

override def convertToGpu(child: Expression): GpuExpression = GpuAverage(child)
}),
GpuOverrides.expr[RegExpReplace](
"RegExpReplace support for string literal input patterns",
ExprChecks.projectOnly(TypeSig.STRING, TypeSig.STRING,
Expand Down
14 changes: 14 additions & 0 deletions shims/spark312/src/main/scala/com/nvidia/spark/rapids/shims/spark312/SparkBaseShims.scala
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,7 @@ import org.apache.spark.sql.catalyst.catalog.{CatalogTable, SessionCatalog}
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.catalyst.errors.attachTree
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.aggregate.Average
import org.apache.spark.sql.catalyst.plans.JoinType
import org.apache.spark.sql.catalyst.plans.physical.{BroadcastMode, Partitioning}
import org.apache.spark.sql.catalyst.trees.TreeNode
Expand Down Expand Up @@ -221,6 +222,19 @@ abstract class SparkBaseShims extends Spark30XShims {
super.tagExprForGpu()
}
}),
GpuOverrides.expr[Average](
"Average aggregate operator",
ExprChecks.fullAgg(
TypeSig.DOUBLE, TypeSig.DOUBLE + TypeSig.DECIMAL_128_FULL,
Seq(ParamCheck("input", TypeSig.integral + TypeSig.fp, TypeSig.numeric))),
(a, conf, p, r) => new AggExprMeta[Average](a, conf, p, r) {
override def tagExprForGpu(): Unit = {
val dataType = a.child.dataType
GpuOverrides.checkAndTagFloatAgg(dataType, conf, this)
}

override def convertToGpu(child: Expression): GpuExpression = GpuAverage(child)
}),
GpuOverrides.expr[RegExpReplace](
"RegExpReplace support for string literal input patterns",
ExprChecks.projectOnly(TypeSig.STRING, TypeSig.STRING,
Expand Down
14 changes: 14 additions & 0 deletions shims/spark313/src/main/scala/com/nvidia/spark/rapids/shims/spark313/SparkBaseShims.scala
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,7 @@ import org.apache.spark.sql.catalyst.catalog.{CatalogTable, SessionCatalog}
import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
import org.apache.spark.sql.catalyst.errors.attachTree
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.catalyst.expressions.aggregate.Average
import org.apache.spark.sql.catalyst.plans.JoinType
import org.apache.spark.sql.catalyst.plans.physical.{BroadcastMode, Partitioning}
import org.apache.spark.sql.catalyst.trees.TreeNode
Expand Down Expand Up @@ -221,6 +222,19 @@ abstract class SparkBaseShims extends Spark30XShims {
super.tagExprForGpu()
}
}),
GpuOverrides.expr[Average](
"Average aggregate operator",
ExprChecks.fullAgg(
TypeSig.DOUBLE, TypeSig.DOUBLE + TypeSig.DECIMAL_128_FULL,
Seq(ParamCheck("input", TypeSig.integral + TypeSig.fp, TypeSig.numeric))),
(a, conf, p, r) => new AggExprMeta[Average](a, conf, p, r) {
override def tagExprForGpu(): Unit = {
val dataType = a.child.dataType
GpuOverrides.checkAndTagFloatAgg(dataType, conf, this)
}

override def convertToGpu(child: Expression): GpuExpression = GpuAverage(child)
}),
GpuOverrides.expr[RegExpReplace](
"RegExpReplace support for string literal input patterns",
ExprChecks.projectOnly(TypeSig.STRING, TypeSig.STRING,
Expand Down
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