rdblue commented on a change in pull request #1083:
URL: https://github.com/apache/iceberg/pull/1083#discussion_r436850092



##########
File path: 
spark/src/main/java/org/apache/iceberg/actions/RewriteDataFilesAction.java
##########
@@ -0,0 +1,275 @@
+/*
+ * 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.iceberg.actions;
+
+import java.io.IOException;
+import java.util.Collection;
+import java.util.List;
+import java.util.Map;
+import java.util.stream.Collectors;
+import org.apache.iceberg.CombinedScanTask;
+import org.apache.iceberg.DataFile;
+import org.apache.iceberg.FileScanTask;
+import org.apache.iceberg.PartitionSpec;
+import org.apache.iceberg.RewriteFiles;
+import org.apache.iceberg.Table;
+import org.apache.iceberg.TableProperties;
+import org.apache.iceberg.encryption.EncryptionManager;
+import org.apache.iceberg.expressions.Expression;
+import org.apache.iceberg.expressions.Expressions;
+import org.apache.iceberg.hadoop.HadoopFileIO;
+import org.apache.iceberg.io.CloseableIterable;
+import org.apache.iceberg.io.CloseableIterator;
+import org.apache.iceberg.io.FileIO;
+import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
+import org.apache.iceberg.relocated.com.google.common.collect.Iterables;
+import org.apache.iceberg.relocated.com.google.common.collect.ListMultimap;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.apache.iceberg.relocated.com.google.common.collect.Maps;
+import org.apache.iceberg.relocated.com.google.common.collect.Multimaps;
+import org.apache.iceberg.relocated.com.google.common.collect.Sets;
+import org.apache.iceberg.relocated.com.google.common.collect.Streams;
+import org.apache.iceberg.spark.source.RowDataRewriter;
+import org.apache.iceberg.util.PropertyUtil;
+import org.apache.iceberg.util.StructLikeWrapper;
+import org.apache.iceberg.util.TableScanUtil;
+import org.apache.iceberg.util.Tasks;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.broadcast.Broadcast;
+import org.apache.spark.sql.SparkSession;
+import org.apache.spark.util.SerializableConfiguration;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+public class RewriteDataFilesAction
+    extends BaseSnapshotUpdateAction<RewriteDataFilesAction, 
RewriteDataFilesActionResult> {
+
+  private static final Logger LOG = 
LoggerFactory.getLogger(RewriteDataFilesAction.class);
+
+  private final JavaSparkContext sparkContext;
+  private final Table table;
+  private final FileIO fileIO;
+  private final EncryptionManager encryptionManager;
+  private final boolean caseSensitive;
+  private long targetSizeInBytes;
+  private int splitLookback;
+
+  private PartitionSpec spec = null;
+  private Expression filter;
+
+  RewriteDataFilesAction(SparkSession spark, Table table) {
+    this.sparkContext = new JavaSparkContext(spark.sparkContext());
+    this.table = table;
+    this.spec = table.spec();
+    this.filter = Expressions.alwaysTrue();
+    this.caseSensitive = 
Boolean.parseBoolean(spark.conf().get("spark.sql.caseSensitive", "false"));
+
+    long splitSize = PropertyUtil.propertyAsLong(
+        table.properties(),
+        TableProperties.SPLIT_SIZE,
+        TableProperties.SPLIT_SIZE_DEFAULT);
+    long targetFileSize = PropertyUtil.propertyAsLong(
+        table.properties(),
+        TableProperties.WRITE_TARGET_FILE_SIZE_BYTES,
+        TableProperties.WRITE_TARGET_FILE_SIZE_BYTES_DEFAULT);
+    this.targetSizeInBytes = Math.min(splitSize, targetFileSize);
+
+    this.splitLookback = PropertyUtil.propertyAsInt(
+        table.properties(),
+        TableProperties.SPLIT_LOOKBACK,
+        TableProperties.SPLIT_LOOKBACK_DEFAULT);
+
+    if (table.io() instanceof HadoopFileIO) {
+      // we need to use Spark's SerializableConfiguration to avoid issues with 
Kryo serialization
+      SerializableConfiguration conf = new 
SerializableConfiguration(((HadoopFileIO) table.io()).conf());
+      this.fileIO = new HadoopFileIO(conf::value);
+    } else {
+      this.fileIO = table.io();
+    }
+    this.encryptionManager = table.encryption();
+  }
+
+  @Override
+  protected RewriteDataFilesAction self() {
+    return this;
+  }
+
+  @Override
+  protected Table table() {
+    return table;
+  }
+
+  /**
+   * Pass a PartitionSepc id to specify which PartitionSpec should be used in 
DataFile rewrite
+   *
+   * @param specId PartitionSpec id to rewrite
+   * @return this for method chaining
+   */
+  public RewriteDataFilesAction outputSpecId(int specId) {
+    Preconditions.checkArgument(table.specs().containsKey(specId), "Invalid 
spec id %d", specId);
+    this.spec = table.specs().get(specId);
+    return this;
+  }
+
+  /**
+   * Specify the target rewrite data file size in bytes
+   *
+   * @param targetSize size in bytes of rewrite data file
+   * @return this for method chaining
+   */
+  public RewriteDataFilesAction targetSizeInBytes(long targetSize) {
+    Preconditions.checkArgument(targetSize > 0L, "Invalid target rewrite data 
file size in bytes %d",
+        targetSize);
+    this.targetSizeInBytes = targetSize;
+    return this;
+  }
+
+  /**
+   * Specify the number of "bins" considered when trying to pack the next file 
split into a task.
+   * Increasing this usually makes tasks a bit more even by considering more 
ways to pack file regions into a single
+   * task with extra planning cost.
+   * <p>
+   * This configuration can reorder the incoming file regions, to preserve 
order for lower/upper bounds in file
+   * metadata, user can use a lookback of 1.
+   *
+   * @param lookback number of "bins" considered when trying to pack the next 
file split into a task.
+   * @return this for method chaining
+   */
+  public RewriteDataFilesAction splitLookback(int lookback) {
+    Preconditions.checkArgument(lookback > 0L, "Invalid split lookback %d", 
lookback);
+    this.splitLookback = lookback;
+    return this;
+  }
+
+  /**
+   * Pass a row Expression to filter DataFiles to be rewritten. Note that all 
files that may contain data matching the
+   * filter may be rewritten.
+   *
+   * @param expr Expression to filter out DataFiles
+   * @return this for method chaining
+   */
+  public RewriteDataFilesAction filter(Expression expr) {
+    this.filter = Expressions.and(filter, expr);
+    return this;
+  }
+
+  @Override
+  public RewriteDataFilesActionResult execute() {
+    CloseableIterable<FileScanTask> fileScanTasks = null;
+    try {
+      fileScanTasks = table.newScan()
+          .caseSensitive(caseSensitive)
+          .filter(filter)
+          .planFiles();
+    } finally {
+      try {
+        if (fileScanTasks != null) {
+          fileScanTasks.close();
+        }
+      } catch (IOException ioe) {
+        LOG.warn("Failed to close task iterable", ioe);
+      }
+    }
+
+    Map<StructLikeWrapper, Collection<FileScanTask>> groupedTasks = 
groupTasksByPartition(fileScanTasks.iterator());
+    Map<StructLikeWrapper, Collection<FileScanTask>> filteredGroupedTasks = 
groupedTasks.entrySet().stream()
+        .filter(kv -> kv.getValue().size() > 1)
+        .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue));
+
+    // Nothing to rewrite if there's only one DataFile in each partition.
+    if (filteredGroupedTasks.isEmpty()) {
+      return RewriteDataFilesActionResult.empty();
+    }
+
+    long openFileCost = PropertyUtil.propertyAsLong(
+        table.properties(),
+        TableProperties.SPLIT_OPEN_FILE_COST,
+        TableProperties.SPLIT_OPEN_FILE_COST_DEFAULT);
+
+    // Split and combine tasks under each partition
+    List<CombinedScanTask> combinedScanTasks = 
filteredGroupedTasks.values().stream()
+        .map(scanTasks -> {
+          CloseableIterable<FileScanTask> splitTasks = 
TableScanUtil.splitFiles(
+              CloseableIterable.withNoopClose(scanTasks), targetSizeInBytes);
+          return TableScanUtil.planTasks(splitTasks, targetSizeInBytes, 
splitLookback, openFileCost);
+        })
+        .flatMap(Streams::stream)
+        .collect(Collectors.toList());
+
+    JavaRDD<CombinedScanTask> taskRDD = 
sparkContext.parallelize(combinedScanTasks, combinedScanTasks.size());
+
+    Broadcast<FileIO> io = sparkContext.broadcast(fileIO);
+    Broadcast<EncryptionManager> encryption = 
sparkContext.broadcast(encryptionManager);
+
+    RowDataRewriter rowDataRewriter =
+        new RowDataRewriter(table, spec, caseSensitive, io, encryption, 
targetSizeInBytes);
+
+    List<DataFile> addedDataFiles = 
rowDataRewriter.rewriteDataForTasks(taskRDD);
+    List<DataFile> currentDataFiles = filteredGroupedTasks.values().stream()
+        .flatMap(tasks -> tasks.stream().map(FileScanTask::file))
+        .collect(Collectors.toList());
+    replaceDataFiles(currentDataFiles, addedDataFiles);
+
+    return new RewriteDataFilesActionResult(currentDataFiles, addedDataFiles);
+  }
+
+  private Map<StructLikeWrapper, Collection<FileScanTask>> 
groupTasksByPartition(
+      CloseableIterator<FileScanTask> tasksIter) {
+    ListMultimap<StructLikeWrapper, FileScanTask> tasksGroupedByPartition = 
Multimaps.newListMultimap(
+        Maps.newHashMap(), Lists::newArrayList);
+
+    try {
+      tasksIter.forEachRemaining(task -> {
+        StructLikeWrapper structLike = 
StructLikeWrapper.wrap(task.file().partition());
+        tasksGroupedByPartition.put(structLike, task);
+      });
+
+    } finally {
+      try {
+        tasksIter.close();
+      } catch (IOException ioe) {
+        LOG.warn("Failed to close task iterator", ioe);
+      }
+    }
+
+    return tasksGroupedByPartition.asMap();
+  }
+
+  private void replaceDataFiles(Iterable<DataFile> deletedDataFiles, 
Iterable<DataFile> addedDataFiles) {
+    boolean threw = true;
+
+    try {
+      RewriteFiles rewriteFiles = table.newRewrite();
+      rewriteFiles.rewriteFiles(Sets.newHashSet(deletedDataFiles), 
Sets.newHashSet(addedDataFiles));
+      commit(rewriteFiles);
+      threw = false;
+
+    } finally {
+      if (threw) {

Review comment:
       We typically use this pattern with a `threw` boolean to always clean up 
even if the throwable isn't an `Exception`. It's more important to do this when 
the finally block needs to execute for all cases, though. I think it would be 
probably be fine to catch `Exception` here like it was originally -- sorry for 
the bad review comment.




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