itsvikramagr commented on a change in pull request #24922: [SPARK-28120][SS] Rocksdb state storage implementation URL: https://github.com/apache/spark/pull/24922#discussion_r297004281
########## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/state/WALUtils.scala ########## @@ -0,0 +1,286 @@ +/* + * 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.streaming.state + +import java.io._ +import java.util.Locale + +import com.google.common.io.ByteStreams +import org.apache.commons.io.IOUtils +import org.apache.hadoop.fs.{FileStatus, FSDataInputStream, FSError, Path} +import scala.collection.mutable + +import org.apache.spark.SparkConf +import org.apache.spark.io.LZ4CompressionCodec +import org.apache.spark.sql.catalyst.expressions.UnsafeRow +import org.apache.spark.sql.execution.streaming.CheckpointFileManager +import org.apache.spark.sql.execution.streaming.CheckpointFileManager.CancellableFSDataOutputStream +import org.apache.spark.sql.types.StructType + + +object WALUtils { + + case class StoreFile(version: Long, path: Path, isSnapshot: Boolean) + + /** Files needed to recover the given version of the store */ + def filesForVersion(allFiles: Seq[StoreFile], version: Long): Seq[StoreFile] = { + require(version >= 0) + require(allFiles.exists(_.version == version)) + + val latestSnapshotFileBeforeVersion = allFiles + .filter(_.isSnapshot == true) + .takeWhile(_.version <= version) + .lastOption + val deltaBatchFiles = latestSnapshotFileBeforeVersion match { + case Some(snapshotFile) => + + val deltaFiles = allFiles.filter { file => + file.version > snapshotFile.version && file.version <= version + }.toList + verify( + deltaFiles.size == version - snapshotFile.version, + s"Unexpected list of delta files for version $version for $this: $deltaFiles" + ) + deltaFiles + + case None => + allFiles.takeWhile(_.version <= version) + } + latestSnapshotFileBeforeVersion.toSeq ++ deltaBatchFiles + } + + /** Fetch all the files that back the store */ + def fetchFiles(fm: CheckpointFileManager, baseDir: Path): Seq[StoreFile] = { + val files: Seq[FileStatus] = try { + fm.list(baseDir) + } catch { + case _: java.io.FileNotFoundException => + Seq.empty + } + val versionToFiles = new mutable.HashMap[Long, StoreFile] + files.foreach { status => + val path = status.getPath + val nameParts = path.getName.split("\\.") + if (nameParts.size == 2) { + val version = nameParts(0).toLong + nameParts(1).toLowerCase(Locale.ROOT) match { + case "delta" => + // ignore the file otherwise, snapshot file already exists for that batch id + if (!versionToFiles.contains(version)) { + versionToFiles.put(version, StoreFile(version, path, isSnapshot = false)) + } + case "snapshot" => + versionToFiles.put(version, StoreFile(version, path, isSnapshot = true)) + case _ => + // logWarning(s"Could not identify file $path for $this") + } + } + } + val storeFiles = versionToFiles.values.toSeq.sortBy(_.version) + // logDebug(s"Current set of files for $this: ${storeFiles.mkString(", ")}") + storeFiles + } + + def compressStream(outputStream: DataOutputStream, sparkConf: SparkConf): DataOutputStream = { + val compressed = new LZ4CompressionCodec(sparkConf).compressedOutputStream(outputStream) + new DataOutputStream(compressed) + } + + def decompressStream(inputStream: DataInputStream, sparkConf: SparkConf): DataInputStream = { + val compressed = new LZ4CompressionCodec(sparkConf).compressedInputStream(inputStream) + new DataInputStream(compressed) + } + + + def writeUpdateToDeltaFile( + output: DataOutputStream, + key: UnsafeRow, + value: UnsafeRow): Unit = { + val keyBytes = key.getBytes() + val valueBytes = value.getBytes() + output.writeInt(keyBytes.size) + output.write(keyBytes) + output.writeInt(valueBytes.size) + output.write(valueBytes) + } + + def writeRemoveToDeltaFile(output: DataOutputStream, key: UnsafeRow): Unit = { + val keyBytes = key.getBytes() + output.writeInt(keyBytes.size) + output.write(keyBytes) + output.writeInt(-1) + } + + def finalizeDeltaFile(output: DataOutputStream): Unit = { + output.writeInt(-1) // Write this magic number to signify end of file + output.close() + } + + def updateFromDeltaFile( fm: CheckpointFileManager, + fileToRead: Path, + keySchema: StructType, + valueSchema: StructType, + newRocksDb: OptimisticTransactionDbInstance, + sparkConf: SparkConf): Unit = { + var input: DataInputStream = null + val sourceStream = try { + fm.open(fileToRead) + } catch { + case f: FileNotFoundException => + throw new IllegalStateException( + s"Error reading delta file $fileToRead of $this: $fileToRead does not exist", f) + } + try { + input = decompressStream(sourceStream, sparkConf) + var eof = false + + while(!eof) { + val keySize = input.readInt() + if (keySize == -1) { + eof = true + } else if (keySize < 0) { + newRocksDb.abort + newRocksDb.close() + throw new IOException( + s"Error reading delta file $fileToRead of $this: key size cannot be $keySize") + } else { + val keyRowBuffer = new Array[Byte](keySize) + ByteStreams.readFully(input, keyRowBuffer, 0, keySize) + + val keyRow = new UnsafeRow(keySchema.fields.length) + keyRow.pointTo(keyRowBuffer, keySize) + + val valueSize = input.readInt() + if (valueSize < 0) { + newRocksDb.remove(key = keyRow) + } else { + val valueRowBuffer = new Array[Byte](valueSize) + ByteStreams.readFully(input, valueRowBuffer, 0, valueSize) + val valueRow = new UnsafeRow(valueSchema.fields.length) + // If valueSize in existing file is not multiple of 8, floor it to multiple of 8. + // This is a workaround for the following: + // Prior to Spark 2.3 mistakenly append 4 bytes to the value row in + // `RowBasedKeyValueBatch`, which gets persisted into the checkpoint data + valueRow.pointTo(valueRowBuffer, (valueSize / 8) * 8) + newRocksDb.put(keyRow, valueRow) + } + } + } + } finally { + if (input != null) input.close() + } + } + + /* + * Try to cancel the underlying stream and safely close the compressed stream. + * + * @param compressedStream the compressed stream. + * @param rawStream the underlying stream which needs to be cancelled. + */ + def cancelDeltaFile( + compressedStream: DataOutputStream, + rawStream: CancellableFSDataOutputStream): Unit = { + try { + if (rawStream != null) rawStream.cancel() + IOUtils.closeQuietly(compressedStream) + } catch { + case e: FSError if e.getCause.isInstanceOf[IOException] => + // Closing the compressedStream causes the stream to write/flush flush data into the + // rawStream. Since the rawStream is already closed, there may be errors. + // Usually its an IOException. However, Hadoop's RawLocalFileSystem wraps + // IOException into FSError. + } + } + + def uploadFile(fm: CheckpointFileManager, + sourceFile: Path, + targetFile: Path, + sparkConf: SparkConf): Unit = { + var output: CancellableFSDataOutputStream = null + var in: BufferedInputStream = null + try { + in = new BufferedInputStream(new FileInputStream(sourceFile.toString)) + output = fm.createAtomic(targetFile, overwriteIfPossible = true) + // output = compressStream(rawOutput, sparkConf) + val buffer = new Array[ Byte ](1024) + var len = in.read(buffer) + while (len > 0) { + output.write(buffer, 0, len) + len = in.read(buffer) + } + output.close() + } catch { + case e: Throwable => + if (output != null) output.cancel() + throw e + } finally { + if ( in != null ) { + in.close() + } + } + } + + def downloadFile(fm: CheckpointFileManager, + sourceFile: Path, + targetFile: Path, + sparkConf: SparkConf): Boolean = { + var in: FSDataInputStream = null + var output: BufferedOutputStream = null + try { + in = fm.open(sourceFile) + // in = decompressStream(fm.open(sourceFile), sparkConf) Review comment: removed ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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