spark FileFormatDataWriter 源码
spark FileFormatDataWriter 代码
文件路径：/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileFormatDataWriter.scala
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* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql.execution.datasources
import scala.collection.mutable
import org.apache.hadoop.fs.Path
import org.apache.hadoop.mapreduce.TaskAttemptContext
import org.apache.spark.internal.Logging
import org.apache.spark.internal.io.{FileCommitProtocol, FileNameSpec}
import org.apache.spark.internal.io.FileCommitProtocol.TaskCommitMessage
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
import org.apache.spark.sql.catalyst.catalog.ExternalCatalogUtils
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.connector.write.{DataWriter, WriterCommitMessage}
import org.apache.spark.sql.execution.datasources.FileFormatWriter.ConcurrentOutputWriterSpec
import org.apache.spark.sql.execution.metric.{CustomMetrics, SQLMetric}
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.types.StringType
import org.apache.spark.util.{SerializableConfiguration, Utils}
/**
* Abstract class for writing out data in a single Spark task.
* Exceptions thrown by the implementation of this trait will automatically trigger task aborts.
*/
abstract class FileFormatDataWriter(
description: WriteJobDescription,
taskAttemptContext: TaskAttemptContext,
committer: FileCommitProtocol,
customMetrics: Map[String, SQLMetric]) extends DataWriter[InternalRow] {
/**
* Max number of files a single task writes out due to file size. In most cases the number of
* files written should be very small. This is just a safe guard to protect some really bad
* settings, e.g. maxRecordsPerFile = 1.
*/
protected val MAX_FILE_COUNTER: Int = 1000 * 1000
protected val updatedPartitions: mutable.Set[String] = mutable.Set[String]()
protected var currentWriter: OutputWriter = _
/** Trackers for computing various statistics on the data as it's being written out. */
protected val statsTrackers: Seq[WriteTaskStatsTracker] =
description.statsTrackers.map(_.newTaskInstance())
/** Release resources of `currentWriter`. */
protected def releaseCurrentWriter(): Unit = {
if (currentWriter != null) {
try {
currentWriter.close()
statsTrackers.foreach(_.closeFile(currentWriter.path()))
} finally {
currentWriter = null
}
}
}
/** Release all resources. */
protected def releaseResources(): Unit = {
// Call `releaseCurrentWriter()` by default, as this is the only resource to be released.
releaseCurrentWriter()
}
/** Writes a record. */
def write(record: InternalRow): Unit
def writeWithMetrics(record: InternalRow, count: Long): Unit = {
if (count % CustomMetrics.NUM_ROWS_PER_UPDATE == 0) {
CustomMetrics.updateMetrics(currentMetricsValues, customMetrics)
}
write(record)
}
/** Write an iterator of records. */
def writeWithIterator(iterator: Iterator[InternalRow]): Unit = {
var count = 0L
while (iterator.hasNext) {
writeWithMetrics(iterator.next(), count)
count += 1
}
CustomMetrics.updateMetrics(currentMetricsValues, customMetrics)
}
/**
* Returns the summary of relative information which
* includes the list of partition strings written out. The list of partitions is sent back
* to the driver and used to update the catalog. Other information will be sent back to the
* driver too and used to e.g. update the metrics in UI.
*/
override def commit(): WriteTaskResult = {
releaseResources()
val (taskCommitMessage, taskCommitTime) = Utils.timeTakenMs {
committer.commitTask(taskAttemptContext)
}
val summary = ExecutedWriteSummary(
updatedPartitions = updatedPartitions.toSet,
stats = statsTrackers.map(_.getFinalStats(taskCommitTime)))
WriteTaskResult(taskCommitMessage, summary)
}
def abort(): Unit = {
try {
releaseResources()
} finally {
committer.abortTask(taskAttemptContext)
}
}
override def close(): Unit = {}
}
/** FileFormatWriteTask for empty partitions */
class EmptyDirectoryDataWriter(
description: WriteJobDescription,
taskAttemptContext: TaskAttemptContext,
committer: FileCommitProtocol,
customMetrics: Map[String, SQLMetric] = Map.empty
) extends FileFormatDataWriter(description, taskAttemptContext, committer, customMetrics) {
override def write(record: InternalRow): Unit = {}
}
/** Writes data to a single directory (used for non-dynamic-partition writes). */
class SingleDirectoryDataWriter(
description: WriteJobDescription,
taskAttemptContext: TaskAttemptContext,
committer: FileCommitProtocol,
customMetrics: Map[String, SQLMetric] = Map.empty)
extends FileFormatDataWriter(description, taskAttemptContext, committer, customMetrics) {
private var fileCounter: Int = _
private var recordsInFile: Long = _
// Initialize currentWriter and statsTrackers
newOutputWriter()
private def newOutputWriter(): Unit = {
recordsInFile = 0
releaseResources()
val ext = description.outputWriterFactory.getFileExtension(taskAttemptContext)
val currentPath = committer.newTaskTempFile(
taskAttemptContext,
None,
f"-c$fileCounter%03d" + ext)
currentWriter = description.outputWriterFactory.newInstance(
path = currentPath,
dataSchema = description.dataColumns.toStructType,
context = taskAttemptContext)
statsTrackers.foreach(_.newFile(currentPath))
}
override def write(record: InternalRow): Unit = {
if (description.maxRecordsPerFile > 0 && recordsInFile >= description.maxRecordsPerFile) {
fileCounter += 1
assert(fileCounter < MAX_FILE_COUNTER,
s"File counter $fileCounter is beyond max value $MAX_FILE_COUNTER")
newOutputWriter()
}
currentWriter.write(record)
statsTrackers.foreach(_.newRow(currentWriter.path, record))
recordsInFile += 1
}
}
/**
* Holds common logic for writing data with dynamic partition writes, meaning it can write to
* multiple directories (partitions) or files (bucketing).
*/
abstract class BaseDynamicPartitionDataWriter(
description: WriteJobDescription,
taskAttemptContext: TaskAttemptContext,
committer: FileCommitProtocol,
customMetrics: Map[String, SQLMetric])
extends FileFormatDataWriter(description, taskAttemptContext, committer, customMetrics) {
/** Flag saying whether or not the data to be written out is partitioned. */
protected val isPartitioned = description.partitionColumns.nonEmpty
/** Flag saying whether or not the data to be written out is bucketed. */
protected val isBucketed = description.bucketSpec.isDefined
assert(isPartitioned || isBucketed,
s"""DynamicPartitionWriteTask should be used for writing out data that's either
|partitioned or bucketed. In this case neither is true.
|WriteJobDescription: $description
""".stripMargin)
/** Number of records in current file. */
protected var recordsInFile: Long = _
/**
* File counter for writing current partition or bucket. For same partition or bucket,
* we may have more than one file, due to number of records limit per file.
*/
protected var fileCounter: Int = _
/** Extracts the partition values out of an input row. */
protected lazy val getPartitionValues: InternalRow => UnsafeRow = {
val proj = UnsafeProjection.create(description.partitionColumns, description.allColumns)
row => proj(row)
}
/** Expression that given partition columns builds a path string like: col1=val/col2=val/... */
private lazy val partitionPathExpression: Expression = Concat(
description.partitionColumns.zipWithIndex.flatMap { case (c, i) =>
val partitionName = ScalaUDF(
ExternalCatalogUtils.getPartitionPathString _,
StringType,
Seq(Literal(c.name), Cast(c, StringType, Option(description.timeZoneId))))
if (i == 0) Seq(partitionName) else Seq(Literal(Path.SEPARATOR), partitionName)
})
/**
* Evaluates the `partitionPathExpression` above on a row of `partitionValues` and returns
* the partition string.
*/
private lazy val getPartitionPath: InternalRow => String = {
val proj = UnsafeProjection.create(Seq(partitionPathExpression), description.partitionColumns)
row => proj(row).getString(0)
}
/** Given an input row, returns the corresponding `bucketId` */
protected lazy val getBucketId: InternalRow => Int = {
val proj =
UnsafeProjection.create(Seq(description.bucketSpec.get.bucketIdExpression),
description.allColumns)
row => proj(row).getInt(0)
}
/** Returns the data columns to be written given an input row */
protected val getOutputRow =
UnsafeProjection.create(description.dataColumns, description.allColumns)
/**
* Opens a new OutputWriter given a partition key and/or a bucket id.
* If bucket id is specified, we will append it to the end of the file name, but before the
* file extension, e.g. part-r-00009-ea518ad4-455a-4431-b471-d24e03814677-00002.gz.parquet
*
* @param partitionValues the partition which all tuples being written by this OutputWriter
* belong to
* @param bucketId the bucket which all tuples being written by this OutputWriter belong to
* @param closeCurrentWriter close and release resource for current writer
*/
protected def renewCurrentWriter(
partitionValues: Option[InternalRow],
bucketId: Option[Int],
closeCurrentWriter: Boolean): Unit = {
recordsInFile = 0
if (closeCurrentWriter) {
releaseCurrentWriter()
}
val partDir = partitionValues.map(getPartitionPath(_))
partDir.foreach(updatedPartitions.add)
val bucketIdStr = bucketId.map(BucketingUtils.bucketIdToString).getOrElse("")
// The prefix and suffix must be in a form that matches our bucketing format. See BucketingUtils
// for details. The prefix is required to represent bucket id when writing Hive-compatible
// bucketed table.
val prefix = bucketId match {
case Some(id) => description.bucketSpec.get.bucketFileNamePrefix(id)
case _ => ""
}
val suffix = f"$bucketIdStr.c$fileCounter%03d" +
description.outputWriterFactory.getFileExtension(taskAttemptContext)
val fileNameSpec = FileNameSpec(prefix, suffix)
val customPath = partDir.flatMap { dir =>
description.customPartitionLocations.get(PartitioningUtils.parsePathFragment(dir))
}
val currentPath = if (customPath.isDefined) {
committer.newTaskTempFileAbsPath(taskAttemptContext, customPath.get, fileNameSpec)
} else {
committer.newTaskTempFile(taskAttemptContext, partDir, fileNameSpec)
}
currentWriter = description.outputWriterFactory.newInstance(
path = currentPath,
dataSchema = description.dataColumns.toStructType,
context = taskAttemptContext)
statsTrackers.foreach(_.newFile(currentPath))
}
/**
* Open a new output writer when number of records exceeding limit.
*
* @param partitionValues the partition which all tuples being written by this `OutputWriter`
* belong to
* @param bucketId the bucket which all tuples being written by this `OutputWriter` belong to
*/
protected def renewCurrentWriterIfTooManyRecords(
partitionValues: Option[InternalRow],
bucketId: Option[Int]): Unit = {
// Exceeded the threshold in terms of the number of records per file.
// Create a new file by increasing the file counter.
fileCounter += 1
assert(fileCounter < MAX_FILE_COUNTER,
s"File counter $fileCounter is beyond max value $MAX_FILE_COUNTER")
renewCurrentWriter(partitionValues, bucketId, closeCurrentWriter = true)
}
/**
* Writes the given record with current writer.
*
* @param record The record to write
*/
protected def writeRecord(record: InternalRow): Unit = {
val outputRow = getOutputRow(record)
currentWriter.write(outputRow)
statsTrackers.foreach(_.newRow(currentWriter.path, outputRow))
recordsInFile += 1
}
}
/**
* Dynamic partition writer with single writer, meaning only one writer is opened at any time for
* writing. The records to be written are required to be sorted on partition and/or bucket
* column(s) before writing.
*/
class DynamicPartitionDataSingleWriter(
description: WriteJobDescription,
taskAttemptContext: TaskAttemptContext,
committer: FileCommitProtocol,
customMetrics: Map[String, SQLMetric] = Map.empty)
extends BaseDynamicPartitionDataWriter(description, taskAttemptContext, committer,
customMetrics) {
private var currentPartitionValues: Option[UnsafeRow] = None
private var currentBucketId: Option[Int] = None
override def write(record: InternalRow): Unit = {
val nextPartitionValues = if (isPartitioned) Some(getPartitionValues(record)) else None
val nextBucketId = if (isBucketed) Some(getBucketId(record)) else None
if (currentPartitionValues != nextPartitionValues || currentBucketId != nextBucketId) {
// See a new partition or bucket - write to a new partition dir (or a new bucket file).
if (isPartitioned && currentPartitionValues != nextPartitionValues) {
currentPartitionValues = Some(nextPartitionValues.get.copy())
statsTrackers.foreach(_.newPartition(currentPartitionValues.get))
}
if (isBucketed) {
currentBucketId = nextBucketId
}
fileCounter = 0
renewCurrentWriter(currentPartitionValues, currentBucketId, closeCurrentWriter = true)
} else if (description.maxRecordsPerFile > 0 &&
recordsInFile >= description.maxRecordsPerFile) {
renewCurrentWriterIfTooManyRecords(currentPartitionValues, currentBucketId)
}
writeRecord(record)
}
}
/**
* Dynamic partition writer with concurrent writers, meaning multiple concurrent writers are opened
* for writing.
*
* The process has the following steps:
* - Step 1: Maintain a map of output writers per each partition and/or bucket columns. Keep all
* writers opened and write rows one by one.
* - Step 2: If number of concurrent writers exceeds limit, sort rest of rows on partition and/or
* bucket column(s). Write rows one by one, and eagerly close the writer when finishing
* each partition and/or bucket.
*
* Caller is expected to call `writeWithIterator()` instead of `write()` to write records.
*/
class DynamicPartitionDataConcurrentWriter(
description: WriteJobDescription,
taskAttemptContext: TaskAttemptContext,
committer: FileCommitProtocol,
concurrentOutputWriterSpec: ConcurrentOutputWriterSpec,
customMetrics: Map[String, SQLMetric] = Map.empty)
extends BaseDynamicPartitionDataWriter(description, taskAttemptContext, committer, customMetrics)
with Logging {
/** Wrapper class to index a unique concurrent output writer. */
private case class WriterIndex(
var partitionValues: Option[UnsafeRow],
var bucketId: Option[Int])
/** Wrapper class for status of a unique concurrent output writer. */
private class WriterStatus(
var outputWriter: OutputWriter,
var recordsInFile: Long,
var fileCounter: Int)
/**
* State to indicate if we are falling back to sort-based writer.
* Because we first try to use concurrent writers, its initial value is false.
*/
private var sorted: Boolean = false
private val concurrentWriters = mutable.HashMap[WriterIndex, WriterStatus]()
/**
* The index for current writer. Intentionally make the index mutable and reusable.
* Avoid JVM GC issue when many short-living `WriterIndex` objects are created
* if switching between concurrent writers frequently.
*/
private val currentWriterId = WriterIndex(None, None)
/**
* Release resources for all concurrent output writers.
*/
override protected def releaseResources(): Unit = {
currentWriter = null
concurrentWriters.values.foreach(status => {
if (status.outputWriter != null) {
try {
status.outputWriter.close()
} finally {
status.outputWriter = null
}
}
})
concurrentWriters.clear()
}
override def write(record: InternalRow): Unit = {
val nextPartitionValues = if (isPartitioned) Some(getPartitionValues(record)) else None
val nextBucketId = if (isBucketed) Some(getBucketId(record)) else None
if (currentWriterId.partitionValues != nextPartitionValues ||
currentWriterId.bucketId != nextBucketId) {
// See a new partition or bucket - write to a new partition dir (or a new bucket file).
if (currentWriter != null) {
if (!sorted) {
// Update writer status in concurrent writers map, because the writer is probably needed
// again later for writing other rows.
updateCurrentWriterStatusInMap()
} else {
// Remove writer status in concurrent writers map and release current writer resource,
// because the writer is not needed any more.
concurrentWriters.remove(currentWriterId)
releaseCurrentWriter()
}
}
if (isBucketed) {
currentWriterId.bucketId = nextBucketId
}
if (isPartitioned && currentWriterId.partitionValues != nextPartitionValues) {
currentWriterId.partitionValues = Some(nextPartitionValues.get.copy())
if (!concurrentWriters.contains(currentWriterId)) {
statsTrackers.foreach(_.newPartition(currentWriterId.partitionValues.get))
}
}
setupCurrentWriterUsingMap()
}
if (description.maxRecordsPerFile > 0 &&
recordsInFile >= description.maxRecordsPerFile) {
renewCurrentWriterIfTooManyRecords(currentWriterId.partitionValues, currentWriterId.bucketId)
// Update writer status in concurrent writers map, as a new writer is created.
updateCurrentWriterStatusInMap()
}
writeRecord(record)
}
/**
* Write iterator of records with concurrent writers.
*/
override def writeWithIterator(iterator: Iterator[InternalRow]): Unit = {
var count = 0L
while (iterator.hasNext && !sorted) {
writeWithMetrics(iterator.next(), count)
count += 1
}
CustomMetrics.updateMetrics(currentMetricsValues, customMetrics)
if (iterator.hasNext) {
count = 0L
clearCurrentWriterStatus()
val sorter = concurrentOutputWriterSpec.createSorter()
val sortIterator = sorter.sort(iterator.asInstanceOf[Iterator[UnsafeRow]])
while (sortIterator.hasNext) {
writeWithMetrics(sortIterator.next(), count)
count += 1
}
CustomMetrics.updateMetrics(currentMetricsValues, customMetrics)
}
}
/**
* Update current writer status in map.
*/
private def updateCurrentWriterStatusInMap(): Unit = {
val status = concurrentWriters(currentWriterId)
status.outputWriter = currentWriter
status.recordsInFile = recordsInFile
status.fileCounter = fileCounter
}
/**
* Retrieve writer in map, or create a new writer if not exists.
*/
private def setupCurrentWriterUsingMap(): Unit = {
if (concurrentWriters.contains(currentWriterId)) {
val status = concurrentWriters(currentWriterId)
currentWriter = status.outputWriter
recordsInFile = status.recordsInFile
fileCounter = status.fileCounter
} else {
fileCounter = 0
renewCurrentWriter(
currentWriterId.partitionValues,
currentWriterId.bucketId,
closeCurrentWriter = false)
if (!sorted) {
assert(concurrentWriters.size <= concurrentOutputWriterSpec.maxWriters,
s"Number of concurrent output file writers is ${concurrentWriters.size} " +
s" which is beyond max value ${concurrentOutputWriterSpec.maxWriters}")
} else {
assert(concurrentWriters.size <= concurrentOutputWriterSpec.maxWriters + 1,
s"Number of output file writers after sort is ${concurrentWriters.size} " +
s" which is beyond max value ${concurrentOutputWriterSpec.maxWriters + 1}")
}
concurrentWriters.put(
currentWriterId.copy(),
new WriterStatus(currentWriter, recordsInFile, fileCounter))
if (concurrentWriters.size >= concurrentOutputWriterSpec.maxWriters && !sorted) {
// Fall back to sort-based sequential writer mode.
logInfo(s"Number of concurrent writers ${concurrentWriters.size} reaches the threshold. " +
"Fall back from concurrent writers to sort-based sequential writer. You may change " +
s"threshold with configuration ${SQLConf.MAX_CONCURRENT_OUTPUT_FILE_WRITERS.key}")
sorted = true
}
}
}
/**
* Clear the current writer status in map.
*/
private def clearCurrentWriterStatus(): Unit = {
if (currentWriterId.partitionValues.isDefined || currentWriterId.bucketId.isDefined) {
updateCurrentWriterStatusInMap()
}
currentWriterId.partitionValues = None
currentWriterId.bucketId = None
currentWriter = null
recordsInFile = 0
fileCounter = 0
}
}
/**
* Bucketing specification for all the write tasks.
*
* @param bucketIdExpression Expression to calculate bucket id based on bucket column(s).
* @param bucketFileNamePrefix Prefix of output file name based on bucket id.
*/
case class WriterBucketSpec(
bucketIdExpression: Expression,
bucketFileNamePrefix: Int => String)
/** A shared job description for all the write tasks. */
class WriteJobDescription(
val uuid: String, // prevent collision between different (appending) write jobs
val serializableHadoopConf: SerializableConfiguration,
val outputWriterFactory: OutputWriterFactory,
val allColumns: Seq[Attribute],
val dataColumns: Seq[Attribute],
val partitionColumns: Seq[Attribute],
val bucketSpec: Option[WriterBucketSpec],
val path: String,
val customPartitionLocations: Map[TablePartitionSpec, String],
val maxRecordsPerFile: Long,
val timeZoneId: String,
val statsTrackers: Seq[WriteJobStatsTracker])
extends Serializable {
assert(AttributeSet(allColumns) == AttributeSet(partitionColumns ++ dataColumns),
s"""
|All columns: ${allColumns.mkString(", ")}
|Partition columns: ${partitionColumns.mkString(", ")}
|Data columns: ${dataColumns.mkString(", ")}
""".stripMargin)
}
/** The result of a successful write task. */
case class WriteTaskResult(commitMsg: TaskCommitMessage, summary: ExecutedWriteSummary)
extends WriterCommitMessage
/**
* Wrapper class for the metrics of writing data out.
*
* @param updatedPartitions the partitions updated during writing data out. Only valid
* for dynamic partition.
* @param stats one `WriteTaskStats` object for every `WriteJobStatsTracker` that the job had.
*/
case class ExecutedWriteSummary(
updatedPartitions: Set[String],
stats: Seq[WriteTaskStats])
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