Fix for updating duplicate records in same/different files in same parition

hoodie-client/src/main/java/com/uber/hoodie/index/bloom/HoodieBloomIndex.java

@@ -394,6 +394,13 @@ public class HoodieBloomIndex<T extends HoodieRecordPayload> extends HoodieIndex
       if (v1._2().isPresent()) {
         String filename = v1._2().get();
         if (filename != null && !filename.isEmpty()) {
+          // When you have a record in multiple files in the same partition, then rowKeyRecordPairRDD will have 2
+          // entries with the same exact in memory copy of the HoodieRecord and the 2 separate filenames that the
+          // record is found in. This will result in setting currentLocation 2 times and it will fail the second time.
+          // This check will create a new in memory copy of the hoodie record.
+          if (record.getCurrentLocation() != null) {
+            record = new HoodieRecord<T>(record.getKey(), record.getData());
+          }
           record.setCurrentLocation(new HoodieRecordLocation(FSUtils.getCommitTime(filename),
               FSUtils.getFileId(filename)));
         }

hoodie-client/src/main/java/com/uber/hoodie/io/HoodieMergeHandle.java

@@ -35,9 +35,11 @@ import com.uber.hoodie.io.storage.HoodieStorageWriter;
 import com.uber.hoodie.io.storage.HoodieStorageWriterFactory;
 import com.uber.hoodie.table.HoodieTable;
 import java.io.IOException;
+import java.util.HashSet;
 import java.util.Iterator;
 import java.util.Map;
 import java.util.Optional;
+import java.util.Set;
 import org.apache.avro.generic.GenericRecord;
 import org.apache.avro.generic.IndexedRecord;
 import org.apache.hadoop.fs.Path;
@@ -52,6 +54,7 @@ public class HoodieMergeHandle<T extends HoodieRecordPayload> extends HoodieIOHa
 
   private WriteStatus writeStatus;
   private Map<String, HoodieRecord<T>> keyToNewRecords;
+  private Set<String> writtenRecordKeys;
   private HoodieStorageWriter<IndexedRecord> storageWriter;
   private TableFileSystemView.ReadOptimizedView fileSystemView;
   private Path newFilePath;
@@ -81,6 +84,8 @@ public class HoodieMergeHandle<T extends HoodieRecordPayload> extends HoodieIOHa
    * Extract old file path, initialize StorageWriter and WriteStatus
    */
   private void init(String fileId, String partitionPath) {
+    this.writtenRecordKeys = new HashSet<>();
+
     WriteStatus writeStatus = ReflectionUtils.loadClass(config.getWriteStatusClassName());
     writeStatus.setStat(new HoodieWriteStat());
     this.writeStatus = writeStatus;
@@ -205,7 +210,7 @@ public class HoodieMergeHandle<T extends HoodieRecordPayload> extends HoodieIOHa
            */
           copyOldRecord = false;
         }
-        keyToNewRecords.remove(key);
+        writtenRecordKeys.add(key);
       } catch (Exception e) {
         throw new HoodieUpsertException(
             "Failed to combine/merge new record with old value in storage, for new record {"
@@ -239,10 +244,13 @@ public class HoodieMergeHandle<T extends HoodieRecordPayload> extends HoodieIOHa
       Iterator<String> pendingRecordsItr = keyToNewRecords.keySet().iterator();
       while (pendingRecordsItr.hasNext()) {
         String key = pendingRecordsItr.next();
-        HoodieRecord<T> hoodieRecord = keyToNewRecords.get(key);
-        writeUpdateRecord(hoodieRecord, hoodieRecord.getData().getInsertValue(schema));
+        if (!writtenRecordKeys.contains(key)) {
+          HoodieRecord<T> hoodieRecord = keyToNewRecords.get(key);
+          writeUpdateRecord(hoodieRecord, hoodieRecord.getData().getInsertValue(schema));
+        }
       }
       keyToNewRecords.clear();
+      writtenRecordKeys.clear();
 
       if (storageWriter != null) {
         storageWriter.close();

hoodie-client/src/test/java/com/uber/hoodie/io/TestHoodieMergeHandleDuplicateRecords.java

@@ -0,0 +1,276 @@
+/*
+ * Copyright (c) 2016 Uber Technologies, Inc. (hoodie-dev-group@uber.com)
+ *
+ * Licensed 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 com.uber.hoodie.io;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertFalse;
+
+import com.uber.hoodie.HoodieWriteClient;
+import com.uber.hoodie.WriteStatus;
+import com.uber.hoodie.common.HoodieClientTestUtils;
+import com.uber.hoodie.common.HoodieTestDataGenerator;
+import com.uber.hoodie.common.model.HoodieRecord;
+import com.uber.hoodie.common.model.HoodieTestUtils;
+import com.uber.hoodie.common.table.HoodieTableMetaClient;
+import com.uber.hoodie.common.table.HoodieTimeline;
+import com.uber.hoodie.common.table.timeline.HoodieActiveTimeline;
+import com.uber.hoodie.common.util.FSUtils;
+import com.uber.hoodie.config.HoodieCompactionConfig;
+import com.uber.hoodie.config.HoodieIndexConfig;
+import com.uber.hoodie.config.HoodieStorageConfig;
+import com.uber.hoodie.config.HoodieWriteConfig;
+import com.uber.hoodie.index.HoodieIndex;
+import java.io.File;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.List;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.spark.api.java.JavaRDD;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.sql.Dataset;
+import org.apache.spark.sql.Row;
+import org.apache.spark.sql.SQLContext;
+import org.junit.After;
+import org.junit.Before;
+import org.junit.Test;
+import org.junit.rules.TemporaryFolder;
+
+@SuppressWarnings("unchecked")
+public class TestHoodieMergeHandleDuplicateRecords {
+
+  protected transient JavaSparkContext jsc = null;
+  protected transient SQLContext sqlContext;
+  protected transient FileSystem fs;
+  protected String basePath = null;
+  protected transient HoodieTestDataGenerator dataGen = null;
+
+  @Before
+  public void init() throws IOException {
+    // Initialize a local spark env
+    jsc = new JavaSparkContext(HoodieClientTestUtils.getSparkConfForTest("TestHoodieMergeHandleDuplicateRecords"));
+
+    //SQLContext stuff
+    sqlContext = new SQLContext(jsc);
+
+    // Create a temp folder as the base path
+    TemporaryFolder folder = new TemporaryFolder();
+    folder.create();
+    basePath = folder.getRoot().getAbsolutePath();
+    fs = FSUtils.getFs(basePath, jsc.hadoopConfiguration());
+    HoodieTestUtils.init(jsc.hadoopConfiguration(), basePath);
+    dataGen = new HoodieTestDataGenerator();
+  }
+
+  @After
+  public void clean() {
+    if (basePath != null) {
+      new File(basePath).delete();
+    }
+    if (jsc != null) {
+      jsc.stop();
+    }
+  }
+
+  @Test
+  public void testUpsertsForMultipleRecordsInSameFile() throws Exception {
+
+    // Create records in a single partition
+    String partitionPath = HoodieTestDataGenerator.DEFAULT_PARTITION_PATHS[0];
+    dataGen = new HoodieTestDataGenerator(new String[]{partitionPath});
+
+    // Build a write config with bulkinsertparallelism set
+    HoodieWriteConfig cfg = getConfigBuilder().build();
+
+    HoodieWriteClient client = new HoodieWriteClient(jsc, cfg);
+    FileSystem fs = FSUtils.getFs(basePath, jsc.hadoopConfiguration());
+
+    /**
+     * Write 1 (only inserts)
+     */
+    String newCommitTime = "001";
+    client.startCommitWithTime(newCommitTime);
+
+    List<HoodieRecord> records = dataGen.generateInserts(newCommitTime, 4);
+
+    HoodieRecord record1 = records.get(0);
+    HoodieRecord record2 = records.get(1);
+
+    for (int i = 0; i < 20; i++) {
+      HoodieRecord dup = dataGen.generateUpdateRecord(record1.getKey(), newCommitTime);
+      records.add(dup);
+    }
+
+    for (int i = 0; i < 20; i++) {
+      HoodieRecord dup = dataGen.generateUpdateRecord(record2.getKey(), newCommitTime);
+      records.add(dup);
+    }
+
+    JavaRDD<HoodieRecord> writeRecords = jsc.parallelize(records, 1);
+
+    List<WriteStatus> statuses = client.bulkInsert(writeRecords, newCommitTime).collect();
+    assertNoWriteErrors(statuses);
+
+    // verify that there is a commit
+    HoodieTableMetaClient metaClient = new HoodieTableMetaClient(jsc.hadoopConfiguration(), basePath);
+    HoodieTimeline timeline = new HoodieActiveTimeline(metaClient).getCommitTimeline();
+
+    assertEquals("Expecting a single commit.", 1, timeline.findInstantsAfter("000", Integer.MAX_VALUE).countInstants());
+    assertEquals("Latest commit should be 001", newCommitTime, timeline.lastInstant().get().getTimestamp());
+    assertEquals("Must contain 44 records",
+        records.size(),
+        HoodieClientTestUtils.readCommit(basePath, sqlContext, timeline, newCommitTime).count());
+
+    /**
+     * Write 2 (insert)
+     */
+    newCommitTime = "002";
+    client.startCommitWithTime(newCommitTime);
+
+    // Do 1 more bulk insert with the same dup record1
+    List<HoodieRecord> newRecords = new ArrayList<>();
+    HoodieRecord sameAsRecord1 = dataGen.generateUpdateRecord(record1.getKey(), newCommitTime);
+    newRecords.add(sameAsRecord1);
+
+    writeRecords = jsc.parallelize(newRecords, 1);
+
+    statuses = client.bulkInsert(writeRecords, newCommitTime).collect();
+    assertNoWriteErrors(statuses);
+
+    // verify that there are 2 commits
+    metaClient = new HoodieTableMetaClient(jsc.hadoopConfiguration(), basePath);
+    timeline = new HoodieActiveTimeline(metaClient).getCommitTimeline();
+
+    assertEquals("Expecting two commits.", 2, timeline.findInstantsAfter("000", Integer.MAX_VALUE)
+        .countInstants());
+    assertEquals("Latest commit should be 002", newCommitTime, timeline.lastInstant().get().getTimestamp());
+    Dataset<Row> dataSet = getRecords();
+    assertEquals("Must contain 45 records", 45, dataSet.count());
+
+    /**
+     * Write 3 (insert)
+     */
+    newCommitTime = "003";
+    client.startCommitWithTime(newCommitTime);
+
+    newRecords = dataGen.generateInserts(newCommitTime, 2);
+
+    writeRecords = jsc.parallelize(newRecords, 1);
+
+    statuses = client.bulkInsert(writeRecords, newCommitTime).collect();
+    assertNoWriteErrors(statuses);
+
+    // verify that there are not 3 commits
+    metaClient = new HoodieTableMetaClient(jsc.hadoopConfiguration(), basePath);
+    timeline = new HoodieActiveTimeline(metaClient).getCommitTimeline();
+
+    assertEquals("Expecting three commits.", 3, timeline.findInstantsAfter("000", Integer.MAX_VALUE)
+        .countInstants());
+    assertEquals("Latest commit should be 003", newCommitTime, timeline.lastInstant().get().getTimestamp());
+    dataSet = getRecords();
+    assertEquals("Must contain 47 records", 47, dataSet.count());
+
+    /**
+     * Write 4 (updates)
+     */
+    newCommitTime = "004";
+    client.startCommitWithTime(newCommitTime);
+
+    List<HoodieRecord> updateRecords = new ArrayList<>();
+
+    // This exists in 001 and 002 and should be updated in both
+    sameAsRecord1 = dataGen.generateUpdateRecord(record1.getKey(), newCommitTime);
+    updateRecords.add(sameAsRecord1);
+
+    // This exists in 001 and should be updated
+    HoodieRecord sameAsRecord2 = dataGen.generateUpdateRecord(record2.getKey(), newCommitTime);
+    updateRecords.add(sameAsRecord2);
+
+    JavaRDD<HoodieRecord> updateRecordsRDD = jsc.parallelize(updateRecords, 1);
+
+    statuses = client.upsert(updateRecordsRDD, newCommitTime).collect();
+    // Verify there are no errors
+    assertNoWriteErrors(statuses);
+
+    // verify there are now 4 commits
+    timeline = new HoodieActiveTimeline(metaClient).getCommitTimeline();
+    assertEquals("Expecting four commits.", 4, timeline.findInstantsAfter("000", Integer.MAX_VALUE)
+        .countInstants());
+    assertEquals("Latest commit should be 004", timeline.lastInstant().get().getTimestamp(), newCommitTime);
+
+    metaClient = new HoodieTableMetaClient(jsc.hadoopConfiguration(), basePath);
+
+    // Check the entire dataset has 47 records still
+    dataSet = getRecords();
+    assertEquals("Must contain 47 records", 47, dataSet.count());
+
+    Row[] rows = (Row[]) dataSet.collect();
+    int record1Count = 0;
+    int record2Count = 0;
+    for (Row row : rows) {
+      if (row.getAs("_hoodie_record_key").equals(record1.getKey().getRecordKey())) {
+        record1Count++;
+
+        // assert each duplicate record is updated
+        assertEquals(row.getAs("rider"), "rider-004");
+        assertEquals(row.getAs("driver"), "driver-004");
+      } else if (row.getAs("_hoodie_record_key").equals(record2.getKey().getRecordKey())) {
+        record2Count++;
+
+        // assert each duplicate record is updated
+        assertEquals(row.getAs("rider"), "rider-004");
+        assertEquals(row.getAs("driver"), "driver-004");
+      }
+    }
+
+    assertEquals(22, record1Count);
+    assertEquals(21, record2Count);
+  }
+
+  private Dataset<Row> getRecords() {
+    // Check the entire dataset has 8 records still
+    String[] fullPartitionPaths = new String[dataGen.getPartitionPaths().length];
+    for (int i = 0; i < fullPartitionPaths.length; i++) {
+      fullPartitionPaths[i] = String.format("%s/%s/*", basePath, dataGen.getPartitionPaths()[i]);
+    }
+
+    Dataset<Row> dataSet = HoodieClientTestUtils.read(basePath, sqlContext, fs, fullPartitionPaths);
+
+    return dataSet;
+  }
+
+  /**
+   * Assert no failures in writing hoodie files
+   *
+   * @param statuses List of Write Status
+   */
+  void assertNoWriteErrors(List<WriteStatus> statuses) {
+    // Verify there are no errors
+    for (WriteStatus status : statuses) {
+      assertFalse("Errors found in write of " + status.getFileId(), status.hasErrors());
+    }
+  }
+
+  HoodieWriteConfig.Builder getConfigBuilder() {
+    return HoodieWriteConfig.newBuilder().withPath(basePath).withSchema(HoodieTestDataGenerator.TRIP_EXAMPLE_SCHEMA)
+        .withParallelism(2, 2)
+        .withCompactionConfig(HoodieCompactionConfig.newBuilder().compactionSmallFileSize(1024 * 1024).build())
+        .withStorageConfig(HoodieStorageConfig.newBuilder().limitFileSize(1024 * 1024).build())
+        .forTable("test-trip-table")
+        .withIndexConfig(HoodieIndexConfig.newBuilder().withIndexType(HoodieIndex.IndexType.BLOOM).build())
+        .withBulkInsertParallelism(2);
+  }
+}