Github user tedyu commented on a diff in the pull request:

    https://github.com/apache/spark/pull/12435#discussion_r60494228
  
    --- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FileStreamSinkLog.scala
 ---
    @@ -0,0 +1,278 @@
    +/*
    + * 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 java.io.IOException
    +import java.nio.charset.StandardCharsets.UTF_8
    +
    +import org.apache.hadoop.fs.{FileStatus, Path, PathFilter}
    +import org.json4s.NoTypeHints
    +import org.json4s.jackson.Serialization
    +import org.json4s.jackson.Serialization.{read, write}
    +
    +import org.apache.spark.sql.SQLContext
    +import org.apache.spark.sql.internal.SQLConf
    +
    +/**
    + * The status of a file outputted by [[FileStreamSink]]. A file is visible 
only if it appears in
    + * the sink log and its action is not "delete".
    + *
    + * @param path the file path.
    + * @param size the file size.
    + * @param isDir whether this file is a directory.
    + * @param modificationTime the file last modification time.
    + * @param blockReplication the block replication.
    + * @param blockSize the block size.
    + * @param action the file action. Must be either "add" or "delete".
    + */
    +case class SinkFileStatus(
    +    path: String,
    +    size: Long,
    +    isDir: Boolean,
    +    modificationTime: Long,
    +    blockReplication: Int,
    +    blockSize: Long,
    +    action: String) {
    +
    +  def toFileStatus: FileStatus = {
    +    new FileStatus(size, isDir, blockReplication, blockSize, 
modificationTime, new Path(path))
    +  }
    +}
    +
    +/**
    + * A special log for [[FileStreamSink]]. It will write one log file for 
each batch. The first line
    + * of the log file is the version number, and there are multiple JSON 
lines following. Each JSON
    + * line is a JSON format of [[SinkFileStatus]].
    + *
    + * As reading from many small files is usually pretty slow, 
[[FileStreamSinkLog]] will compact log
    + * files every "spark.sql.sink.file.log.compactLen" batches into a big 
file. When doing a
    + * compaction, it will read all old log files and merge them with the new 
batch. During the
    + * compaction, it will also delete the files that are deleted (marked by 
[[SinkFileStatus.action]]).
    + * When the reader uses `allFiles` to list all files, this method only 
returns the visible files
    + * (drops the deleted files).
    + */
    +class FileStreamSinkLog(sqlContext: SQLContext, path: String)
    +  extends HDFSMetadataLog[Seq[SinkFileStatus]](sqlContext, path) {
    +
    +  import FileStreamSinkLog._
    +
    +  private implicit val formats = Serialization.formats(NoTypeHints)
    +
    +  /**
    +   * If we delete the old files after compaction at once, there is a race 
condition in S3: other
    +   * processes may see the old files are deleted but still cannot see the 
compaction file using
    +   * "list". The `allFiles` handles this by looking for the next 
compaction file directly, however,
    +   * a live lock may happen if the compaction happens too frequently: one 
processing keeps deleting
    +   * old files while another one keeps retrying. Setting a reasonable 
cleanup delay could avoid it.
    +   */
    +  private val fileCleanupDelayMs = 
sqlContext.getConf(SQLConf.FILE_SINK_LOG_CLEANUP_DELAY)
    +
    +  private val isDeletingExpiredLog = 
sqlContext.getConf(SQLConf.FILE_SINK_LOG_DELETION)
    +
    +  private val compactInterval = 
sqlContext.getConf(SQLConf.FILE_SINK_LOG_COMPACT_INTERVAL)
    +  require(compactInterval > 0,
    +    s"Please set ${SQLConf.FILE_SINK_LOG_COMPACT_INTERVAL.key} (was 
$compactInterval) " +
    +      "to a positive value.")
    +
    +  override def batchIdToPath(batchId: Long): Path = {
    +    if (isCompactionBatch(batchId, compactInterval)) {
    +      new Path(metadataPath, s"$batchId$COMPACT_FILE_SUFFIX")
    +    } else {
    +      new Path(metadataPath, batchId.toString)
    +    }
    +  }
    +
    +  override def pathToBatchId(path: Path): Long = {
    +    getBatchIdFromFileName(path.getName)
    +  }
    +
    +  override def isBatchFile(path: Path): Boolean = {
    +    try {
    +      getBatchIdFromFileName(path.getName)
    +      true
    +    } catch {
    +      case _: NumberFormatException => false
    +    }
    +  }
    +
    +  override def serialize(logData: Seq[SinkFileStatus]): Array[Byte] = {
    +    (VERSION +: logData.map(write(_))).mkString("\n").getBytes(UTF_8)
    +  }
    +
    +  override def deserialize(bytes: Array[Byte]): Seq[SinkFileStatus] = {
    +    val lines = new String(bytes, UTF_8).split("\n")
    +    if (lines.length == 0) {
    +      throw new IllegalStateException("Incomplete log file")
    +    }
    +    val version = lines(0)
    +    if (version != VERSION) {
    +      throw new IllegalStateException(s"Unknown log version: ${version}")
    +    }
    +    lines.toSeq.slice(1, lines.length).map(read[SinkFileStatus](_))
    +  }
    +
    +  override def add(batchId: Long, logs: Seq[SinkFileStatus]): Boolean = {
    +    if (isCompactionBatch(batchId, compactInterval)) {
    +      compact(batchId, logs)
    +    } else {
    +      super.add(batchId, logs)
    +    }
    +  }
    +
    +  /**
    +   * Returns all files except the deleted ones.
    +   */
    +  def allFiles(): Array[SinkFileStatus] = {
    +    var latestId = getLatest().map(_._1).getOrElse(-1L)
    +    // There is a race condition when `FileStreamSink` is deleting old 
files and `StreamFileCatalog`
    +    // is calling this method. This loop will retry the reading to deal 
with the
    +    // race condition.
    +    while (true) {
    +      if (latestId >= 0) {
    +        val startId = getAllValidBatches(latestId, compactInterval)(0)
    +        try {
    +          val logs = get(Some(startId), Some(latestId)).flatMap(_._2)
    +          return compactLogs(logs).toArray
    +        } catch {
    +          case e: IOException =>
    +            // Another process using `FileStreamSink` may delete the batch 
files when
    +            // `StreamFileCatalog` are reading. However, it only happens 
when a compaction is
    +            // deleting old files. If so, let's try the next compaction 
batch and we should find it.
    +            // Otherwise, this is a real IO issue and we should throw it.
    +            latestId = nextCompactionBatchId(latestId, compactInterval)
    +            get(latestId).getOrElse {
    +              throw e
    --- End diff --
    
    Maybe include latestId in the exception message


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