Github user zsxwing commented on a diff in the pull request: https://github.com/apache/spark/pull/13513#discussion_r79027018 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FileStreamSourceLog.scala --- @@ -0,0 +1,133 @@ +/* + * 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 + +import scala.collection.mutable + +import org.json4s.NoTypeHints +import org.json4s.jackson.Serialization + +import org.apache.spark.sql.SparkSession +import org.apache.spark.sql.execution.streaming.FileStreamSource.FileEntry +import org.apache.spark.sql.internal.SQLConf + +class FileStreamSourceLog( + metadataLogVersion: String, + sparkSession: SparkSession, + path: String) + extends CompactibleFileStreamLog[FileEntry](metadataLogVersion, sparkSession, path) { + + import CompactibleFileStreamLog._ + + // Configurations about metadata compaction + protected override val compactInterval = + sparkSession.conf.get(SQLConf.FILE_SOURCE_LOG_COMPACT_INTERVAL) + require(compactInterval > 0, + s"Please set ${SQLConf.FILE_SOURCE_LOG_COMPACT_INTERVAL.key} (was $compactInterval) to a " + + s"positive value.") + + protected override val fileCleanupDelayMs = + sparkSession.conf.get(SQLConf.FILE_SOURCE_LOG_CLEANUP_DELAY) + + protected override val isDeletingExpiredLog = + sparkSession.conf.get(SQLConf.FILE_SOURCE_LOG_DELETION) + + private implicit val formats = Serialization.formats(NoTypeHints) + + // A fixed size log cache to cache the file entries belong to the compaction batch. It is used + // to avoid scanning the compacted log file to retrieve it's own batch data. + private val cacheSize = compactInterval + private val fileEntryCache = new mutable.LinkedHashMap[Long, Array[FileEntry]] + + private def updateCache(batchId: Long, logs: Array[FileEntry]): Unit = { + if (fileEntryCache.size >= cacheSize) { + fileEntryCache.drop(1) + } + + fileEntryCache.put(batchId, logs) + } + + protected override def serializeData(data: FileEntry): String = { + Serialization.write(data) + } + + protected override def deserializeData(encodedString: String): FileEntry = { + Serialization.read[FileEntry](encodedString) + } + + def compactLogs(logs: Seq[FileEntry]): Seq[FileEntry] = { + logs + } + + override def add(batchId: Long, logs: Array[FileEntry]): Boolean = { + if (super.add(batchId, logs) && isCompactionBatch(batchId, compactInterval)) { + updateCache(batchId, logs) + true + } else if (!isCompactionBatch(batchId, compactInterval)) { + true + } else { + false + } + } + + override def get(startId: Option[Long], endId: Option[Long]): Array[(Long, Array[FileEntry])] = { + val startBatchId = startId.getOrElse(0L) + val endBatchId = getLatest().map(_._1).getOrElse(0L) + + val (existedBatches, removedBatches) = (startBatchId to endBatchId).map { id => + if (isCompactionBatch(id, compactInterval) && fileEntryCache.contains(id)) { + (id, Some(fileEntryCache(id))) + } else { + val logs = super.get(id).map(_.filter(_.batchId == id)) + (id, logs) + } + }.partition(_._2.isDefined) + + // The below code may only be happened when original metadata log file has been removed, so we + // have to get the batch from latest compacted log file. This is quite time-consuming and may + // not be happened in the current FileStreamSource code path, since we only fetch the + // latest metadata log file. + val searchKeys = removedBatches.map(_._1) + val retrievedBatches = if (searchKeys.nonEmpty) { + logWarning(s"Get batches from removed files, this is unexpected in the current code path!!!") + val latestBatchId = getLatest().map(_._1).getOrElse(-1L) + if (latestBatchId < 0) { + Map.empty[Long, Option[Array[FileEntry]]] + } else { + val latestCompactedBatchId = getAllValidBatches(latestBatchId, compactInterval)(0) + val allLogs = new mutable.HashMap[Long, mutable.ArrayBuffer[FileEntry]] + + super.get(latestCompactedBatchId).foreach { entries => --- End diff -- How about we use the following class for FileStreamSource? ``` case class FileSourceLogEntry(batchId: Long, Seq[FileEntry]) ``` I think this will make the codes here simpler.
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