SparkQA commented on pull request #31847: URL: https://github.com/apache/spark/pull/31847#issuecomment-874148755
**[Test build #140649 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/140649/testReport)** for PR 31847 at commit [`b4f298e`](https://github.com/apache/spark/commit/b4f298e9a97ad4d3afd1b099cba1887efbcf734d). * This patch passes all tests. * This patch merges cleanly. * This patch adds the following public classes _(experimental)_: * `public class MergedBlockMetaRequest extends AbstractMessage implements RequestMessage ` * `public class MergedBlockMetaSuccess extends AbstractResponseMessage ` * `public abstract class AbstractFetchShuffleBlocks extends BlockTransferMessage ` * `public class FetchShuffleBlockChunks extends AbstractFetchShuffleBlocks ` * `public class FetchShuffleBlocks extends AbstractFetchShuffleBlocks ` * ` throw new IllegalArgumentException(s\"Cannot find error class '$errorClass'\"))` * `trait SparkError extends Throwable ` * `class SparkException(` * `class SparkArithmeticException(` * `final case class FileNameSpec(prefix: String, suffix: String)` * `case class ShuffleBlockInfo(shuffleId: Int, mapId: Long) ` * `case class ShuffleBlockChunkId(` * `case class ShuffleMergedDataBlockId(appId: String, shuffleId: Int, reduceId: Int) extends BlockId ` * `case class ShuffleMergedIndexBlockId(` * `case class ShuffleMergedMetaBlockId(` * ` case class FetchRequest(` * ` class AvroSchemaHelper(` * `class DecimalOps(FractionalOps):` * `class IntegralExtensionOps(IntegralOps):` * `class FractionalExtensionOps(FractionalOps):` * `class StringExtensionOps(StringOps):` * ` new_class = type(\"NameType\", (NameTypeHolder,), ` * `class GroupBy(Generic[FrameLike], metaclass=ABCMeta):` * `class DataFrameGroupBy(GroupBy[DataFrame]):` * `class SeriesGroupBy(GroupBy[Series]):` * ` new_class = type(\"NameType\", (NameTypeHolder,), ` * `class SparkIndexOpsMethods(Generic[IndexOpsLike], metaclass=ABCMeta):` * `class SparkSeriesMethods(SparkIndexOpsMethods[\"ps.Series\"]):` * `class SparkIndexMethods(SparkIndexOpsMethods[\"ps.Index\"]):` * `class RollingAndExpanding(Generic[FrameLike], metaclass=ABCMeta):` * `class RollingLike(RollingAndExpanding[FrameLike]):` * `class Rolling(RollingLike[FrameLike]):` * `class RollingGroupby(RollingLike[FrameLike]):` * `class ExpandingLike(RollingAndExpanding[FrameLike]):` * `class Expanding(ExpandingLike[FrameLike]):` * `class ExpandingGroupby(ExpandingLike[FrameLike]):` * `class KubernetesLocalDiskShuffleDataIO(sparkConf: SparkConf) extends ShuffleDataIO ` * `class KubernetesLocalDiskShuffleExecutorComponents(sparkConf: SparkConf)` * `case class TempResolvedColumn(child: Expression, nameParts: Seq[String]) extends UnaryExpression` * `sealed trait FieldName extends LeafExpression with Unevaluable ` * `case class UnresolvedFieldName(name: Seq[String]) extends FieldName ` * `sealed trait FieldPosition extends LeafExpression with Unevaluable ` * `case class UnresolvedFieldPosition(` * `case class ResolvedFieldName(path: Seq[String], field: StructField) extends FieldName ` * `case class ResolvedFieldPosition(position: ColumnPosition) extends FieldPosition` * `case class Cast(` * `case class ExpressionEquals(e: Expression) ` * `case class ExpressionStats(expr: Expression)(var useCount: Int = 1) ` * `case class Average(` * `case class Sum(` * `case class SubExprEliminationState(eval: ExprCode, children: Seq[SubExprEliminationState])` * `case class ArraysZip(children: Seq[Expression], names: Seq[Expression])` * `case class GetTimestampNTZ(` * `case class ParseToTimestampNTZ(` * `case class MakeDTInterval(` * `case class MakeYMInterval(years: Expression, months: Expression)` * `trait InvokeLike extends Expression with NonSQLExpression with ImplicitCastInputTypes ` * `case class LateralSubquery(` * `case class RebalancePartitions(` * `case class LateralJoin(` * `trait AlterTableCommand extends UnaryCommand ` * `case class AlterTableDropColumns(` * `case class AlterTableRenameColumn(` * `case class AlterTableAlterColumn(` * ` new AnalysisException(s\"UDF class $className doesn't implement any UDF interface\")` * ` new AnalysisException(s\"UDF class with $n type arguments is not supported.\")` * ` new AnalysisException(s\"Can not instantiate class $className, please make sure\" +` * ` new AnalysisException(s\"Can not load class $className, please make sure it is on the classpath\")` * ` new SparkException(s\"Cannot find catalog plugin class for catalog '$name': $pluginClassName\")` * ` new SparkException(\"Cannot instantiate abstract catalog plugin class for \" +` * ` new SparkException(s\"Can not load in UserDefinedType $` * `case class DayTimeIntervalType(startField: Byte, endField: Byte) extends AtomicType ` * `case class YearMonthIntervalType(startField: Byte, endField: Byte) extends AtomicType ` * `final class ParquetReadState ` * `public class ParquetVectorUpdaterFactory ` * `case class CommandResult(` * `case class MergingSessionsExec(` * `class MergingSessionsIterator(` * `case class ShowCreateTableExec(` * `class RocksDB(` * `class ByteArrayPair(var key: Array[Byte] = null, var value: Array[Byte] = null) ` * `case class RocksDBConf(` * `case class AcquiredThreadInfo() ` * `case class StateStoreCustomSumMetric(name: String, desc: String) extends StateStoreCustomMetric ` * `case class StateStoreCustomSizeMetric(name: String, desc: String) extends StateStoreCustomMetric ` * `case class StateStoreCustomTimingMetric(name: String, desc: String) extends StateStoreCustomMetric ` * `trait StatefulOperatorCustomMetric ` * `case class StatefulOperatorCustomSumMetric(name: String, desc: String)` * `trait WatermarkSupport extends SparkPlan ` * `trait TestGroupState[S] extends GroupState[S] ` -- This is an automated message from the Apache Git Service. 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