Examples with HoodieWriteConfig org.apache.hudi.config.HoodieWriteConfig used on opensource projects

Example 16 with HoodieWriteConfig

use of org.apache.hudi.config.HoodieWriteConfig in project hudi by apache.

the class TestSparkClusteringPlanPartitionFilter method testFilterPartitionRecentDays.

@Test
public void testFilterPartitionRecentDays() {
    HoodieWriteConfig config = hoodieWriteConfigBuilder.withClusteringConfig(HoodieClusteringConfig.newBuilder().withClusteringSkipPartitionsFromLatest(1).withClusteringTargetPartitions(1).withClusteringPlanPartitionFilterMode(ClusteringPlanPartitionFilterMode.RECENT_DAYS).build()).build();
    PartitionAwareClusteringPlanStrategy sg = new SparkSizeBasedClusteringPlanStrategy(table, context, config);
    ArrayList<String> fakeTimeBasedPartitionsPath = new ArrayList<>();
    fakeTimeBasedPartitionsPath.add("20210718");
    fakeTimeBasedPartitionsPath.add("20210716");
    fakeTimeBasedPartitionsPath.add("20210719");
    List list = sg.filterPartitionPaths(fakeTimeBasedPartitionsPath);
    assertEquals(1, list.size());
    assertSame("20210718", list.get(0));
}

Example 17 with HoodieWriteConfig

use of org.apache.hudi.config.HoodieWriteConfig in project hudi by apache.

the class TestCopyOnWriteActionExecutor method testMakeNewPath.

@Test
public void testMakeNewPath() {
    String fileName = UUID.randomUUID().toString();
    String partitionPath = "2016/05/04";
    String instantTime = makeNewCommitTime();
    HoodieWriteConfig config = makeHoodieClientConfig();
    metaClient = HoodieTableMetaClient.reload(metaClient);
    HoodieTable table = HoodieSparkTable.create(config, context, metaClient);
    Pair<Path, String> newPathWithWriteToken = jsc.parallelize(Arrays.asList(1)).map(x -> {
        HoodieRecord record = mock(HoodieRecord.class);
        when(record.getPartitionPath()).thenReturn(partitionPath);
        String writeToken = FSUtils.makeWriteToken(TaskContext.getPartitionId(), TaskContext.get().stageId(), TaskContext.get().taskAttemptId());
        HoodieCreateHandle io = new HoodieCreateHandle(config, instantTime, table, partitionPath, fileName, supplier);
        return Pair.of(io.makeNewPath(record.getPartitionPath()), writeToken);
    }).collect().get(0);
    assertEquals(newPathWithWriteToken.getKey().toString(), Paths.get(this.basePath, partitionPath, FSUtils.makeDataFileName(instantTime, newPathWithWriteToken.getRight(), fileName)).toString());
}

Example 18 with HoodieWriteConfig

use of org.apache.hudi.config.HoodieWriteConfig in project hudi by apache.

the class TestCopyOnWriteActionExecutor method testInsertUpsertWithHoodieAvroPayload.

@Test
public void testInsertUpsertWithHoodieAvroPayload() throws Exception {
    Schema schema = getSchemaFromResource(TestCopyOnWriteActionExecutor.class, "/testDataGeneratorSchema.txt");
    HoodieWriteConfig config = HoodieWriteConfig.newBuilder().withPath(basePath).withSchema(schema.toString()).withFileSystemViewConfig(FileSystemViewStorageConfig.newBuilder().withRemoteServerPort(timelineServicePort).build()).withStorageConfig(HoodieStorageConfig.newBuilder().parquetMaxFileSize(1000 * 1024).hfileMaxFileSize(1000 * 1024).build()).build();
    metaClient = HoodieTableMetaClient.reload(metaClient);
    HoodieSparkCopyOnWriteTable table = (HoodieSparkCopyOnWriteTable) HoodieSparkTable.create(config, context, metaClient);
    String instantTime = "000";
    // Perform inserts of 100 records to test CreateHandle and BufferedExecutor
    final List<HoodieRecord> inserts = dataGen.generateInsertsWithHoodieAvroPayload(instantTime, 100);
    BaseSparkCommitActionExecutor actionExecutor = new SparkInsertCommitActionExecutor(context, config, table, instantTime, context.parallelize(inserts));
    final List<List<WriteStatus>> ws = jsc.parallelize(Arrays.asList(1)).map(x -> {
        return actionExecutor.handleInsert(UUID.randomUUID().toString(), inserts.iterator());
    }).map(Transformations::flatten).collect();
    WriteStatus writeStatus = ws.get(0).get(0);
    String fileId = writeStatus.getFileId();
    metaClient.getFs().create(new Path(Paths.get(basePath, ".hoodie", "000.commit").toString())).close();
    final List<HoodieRecord> updates = dataGen.generateUpdatesWithHoodieAvroPayload(instantTime, inserts);
    String partitionPath = writeStatus.getPartitionPath();
    long numRecordsInPartition = updates.stream().filter(u -> u.getPartitionPath().equals(partitionPath)).count();
    table = (HoodieSparkCopyOnWriteTable) HoodieSparkTable.create(config, context, HoodieTableMetaClient.reload(metaClient));
    BaseSparkCommitActionExecutor newActionExecutor = new SparkUpsertCommitActionExecutor(context, config, table, instantTime, context.parallelize(updates));
    final List<List<WriteStatus>> updateStatus = jsc.parallelize(Arrays.asList(1)).map(x -> {
        return newActionExecutor.handleUpdate(partitionPath, fileId, updates.iterator());
    }).map(Transformations::flatten).collect();
    assertEquals(updates.size() - numRecordsInPartition, updateStatus.get(0).get(0).getTotalErrorRecords());
}

Example 19 with HoodieWriteConfig

use of org.apache.hudi.config.HoodieWriteConfig in project hudi by apache.

the class TestCopyOnWriteActionExecutor method testUpdateRecords.

// TODO (weiy): Add testcases for crossing file writing.
@ParameterizedTest
@MethodSource("indexType")
public void testUpdateRecords(HoodieIndex.IndexType indexType) throws Exception {
    // Prepare the AvroParquetIO
    HoodieWriteConfig config = makeHoodieClientConfigBuilder().withProps(makeIndexConfig(indexType)).build();
    String firstCommitTime = makeNewCommitTime();
    SparkRDDWriteClient writeClient = getHoodieWriteClient(config);
    writeClient.startCommitWithTime(firstCommitTime);
    metaClient = HoodieTableMetaClient.reload(metaClient);
    String partitionPath = "2016/01/31";
    HoodieSparkCopyOnWriteTable table = (HoodieSparkCopyOnWriteTable) HoodieSparkTable.create(config, context, metaClient);
    // Get some records belong to the same partition (2016/01/31)
    String recordStr1 = "{\"_row_key\":\"8eb5b87a-1feh-4edd-87b4-6ec96dc405a0\"," + "\"time\":\"2016-01-31T03:16:41.415Z\",\"number\":12}";
    String recordStr2 = "{\"_row_key\":\"8eb5b87b-1feu-4edd-87b4-6ec96dc405a0\"," + "\"time\":\"2016-01-31T03:20:41.415Z\",\"number\":100}";
    String recordStr3 = "{\"_row_key\":\"8eb5b87c-1fej-4edd-87b4-6ec96dc405a0\"," + "\"time\":\"2016-01-31T03:16:41.415Z\",\"number\":15}";
    String recordStr4 = "{\"_row_key\":\"8eb5b87d-1fej-4edd-87b4-6ec96dc405a0\"," + "\"time\":\"2016-01-31T03:16:41.415Z\",\"number\":51}";
    List<HoodieRecord> records = new ArrayList<>();
    RawTripTestPayload rowChange1 = new RawTripTestPayload(recordStr1);
    records.add(new HoodieAvroRecord(new HoodieKey(rowChange1.getRowKey(), rowChange1.getPartitionPath()), rowChange1));
    RawTripTestPayload rowChange2 = new RawTripTestPayload(recordStr2);
    records.add(new HoodieAvroRecord(new HoodieKey(rowChange2.getRowKey(), rowChange2.getPartitionPath()), rowChange2));
    RawTripTestPayload rowChange3 = new RawTripTestPayload(recordStr3);
    records.add(new HoodieAvroRecord(new HoodieKey(rowChange3.getRowKey(), rowChange3.getPartitionPath()), rowChange3));
    // Insert new records
    final HoodieSparkCopyOnWriteTable cowTable = table;
    writeClient.insert(jsc.parallelize(records, 1), firstCommitTime);
    FileStatus[] allFiles = getIncrementalFiles(partitionPath, "0", -1);
    assertEquals(1, allFiles.length);
    // Read out the bloom filter and make sure filter can answer record exist or not
    Path filePath = allFiles[0].getPath();
    BloomFilter filter = BaseFileUtils.getInstance(table.getBaseFileFormat()).readBloomFilterFromMetadata(hadoopConf, filePath);
    for (HoodieRecord record : records) {
        assertTrue(filter.mightContain(record.getRecordKey()));
    }
    // Read the base file, check the record content
    List<GenericRecord> fileRecords = BaseFileUtils.getInstance(table.getBaseFileFormat()).readAvroRecords(hadoopConf, filePath);
    GenericRecord newRecord;
    int index = 0;
    for (GenericRecord record : fileRecords) {
        assertEquals(records.get(index).getRecordKey(), record.get("_row_key").toString());
        index++;
    }
    // We update the 1st record & add a new record
    String updateRecordStr1 = "{\"_row_key\":\"8eb5b87a-1feh-4edd-87b4-6ec96dc405a0\"," + "\"time\":\"2016-01-31T03:16:41.415Z\",\"number\":15}";
    RawTripTestPayload updateRowChanges1 = new RawTripTestPayload(updateRecordStr1);
    HoodieRecord updatedRecord1 = new HoodieAvroRecord(new HoodieKey(updateRowChanges1.getRowKey(), updateRowChanges1.getPartitionPath()), updateRowChanges1);
    RawTripTestPayload rowChange4 = new RawTripTestPayload(recordStr4);
    HoodieRecord insertedRecord1 = new HoodieAvroRecord(new HoodieKey(rowChange4.getRowKey(), rowChange4.getPartitionPath()), rowChange4);
    List<HoodieRecord> updatedRecords = Arrays.asList(updatedRecord1, insertedRecord1);
    Thread.sleep(1000);
    String newCommitTime = makeNewCommitTime();
    metaClient = HoodieTableMetaClient.reload(metaClient);
    writeClient.startCommitWithTime(newCommitTime);
    List<WriteStatus> statuses = writeClient.upsert(jsc.parallelize(updatedRecords), newCommitTime).collect();
    allFiles = getIncrementalFiles(partitionPath, firstCommitTime, -1);
    assertEquals(1, allFiles.length);
    // verify new incremental file group is same as the previous one
    assertEquals(FSUtils.getFileId(filePath.getName()), FSUtils.getFileId(allFiles[0].getPath().getName()));
    // Check whether the record has been updated
    Path updatedFilePath = allFiles[0].getPath();
    BloomFilter updatedFilter = BaseFileUtils.getInstance(metaClient).readBloomFilterFromMetadata(hadoopConf, updatedFilePath);
    for (HoodieRecord record : records) {
        // No change to the _row_key
        assertTrue(updatedFilter.mightContain(record.getRecordKey()));
    }
    assertTrue(updatedFilter.mightContain(insertedRecord1.getRecordKey()));
    // add this so it can further check below
    records.add(insertedRecord1);
    ParquetReader updatedReader = ParquetReader.builder(new AvroReadSupport<>(), updatedFilePath).build();
    index = 0;
    while ((newRecord = (GenericRecord) updatedReader.read()) != null) {
        assertEquals(newRecord.get("_row_key").toString(), records.get(index).getRecordKey());
        if (index == 0) {
            assertEquals("15", newRecord.get("number").toString());
        }
        index++;
    }
    updatedReader.close();
    // Also check the numRecordsWritten
    WriteStatus writeStatus = statuses.get(0);
    assertEquals(1, statuses.size(), "Should be only one file generated");
    // 3 rewritten records + 1 new record
    assertEquals(4, writeStatus.getStat().getNumWrites());
}

Example 20 with HoodieWriteConfig

use of org.apache.hudi.config.HoodieWriteConfig in project hudi by apache.

the class TestUpsertPartitioner method testPartitionWeight.

@Test
public void testPartitionWeight() throws Exception {
    final String testPartitionPath = "2016/09/26";
    int totalInsertNum = 2000;
    HoodieWriteConfig config = makeHoodieClientConfigBuilder().withCompactionConfig(HoodieCompactionConfig.newBuilder().compactionSmallFileSize(0).insertSplitSize(totalInsertNum / 2).autoTuneInsertSplits(false).build()).build();
    FileCreateUtils.createCommit(basePath, "001");
    metaClient = HoodieTableMetaClient.reload(metaClient);
    HoodieSparkCopyOnWriteTable table = (HoodieSparkCopyOnWriteTable) HoodieSparkTable.create(config, context, metaClient);
    HoodieTestDataGenerator dataGenerator = new HoodieTestDataGenerator(new String[] { testPartitionPath });
    List<HoodieRecord> insertRecords = dataGenerator.generateInserts("001", totalInsertNum);
    WorkloadProfile profile = new WorkloadProfile(buildProfile(jsc.parallelize(insertRecords)));
    UpsertPartitioner partitioner = new UpsertPartitioner(profile, context, table, config);
    List<InsertBucketCumulativeWeightPair> insertBuckets = partitioner.getInsertBuckets(testPartitionPath);
    float bucket0Weight = 0.2f;
    InsertBucketCumulativeWeightPair pair = insertBuckets.remove(0);
    pair.getKey().weight = bucket0Weight;
    pair.setValue(new Double(bucket0Weight));
    insertBuckets.add(0, pair);
    InsertBucketCumulativeWeightPair pair1 = insertBuckets.remove(1);
    pair1.getKey().weight = 1 - bucket0Weight;
    pair1.setValue(new Double(1));
    insertBuckets.add(1, pair1);
    Map<Integer, Integer> partition2numRecords = new HashMap<Integer, Integer>();
    for (HoodieRecord hoodieRecord : insertRecords) {
        int partition = partitioner.getPartition(new Tuple2<>(hoodieRecord.getKey(), Option.ofNullable(hoodieRecord.getCurrentLocation())));
        if (!partition2numRecords.containsKey(partition)) {
            partition2numRecords.put(partition, 0);
        }
        partition2numRecords.put(partition, partition2numRecords.get(partition) + 1);
    }
    assertTrue(partition2numRecords.get(0) < partition2numRecords.get(1), "The insert num of bucket1 should more than bucket0");
    assertTrue(partition2numRecords.get(0) + partition2numRecords.get(1) == totalInsertNum, "The total insert records should be " + totalInsertNum);
    assertEquals(String.valueOf(bucket0Weight), String.format("%.1f", (partition2numRecords.get(0) * 1.0f / totalInsertNum)), "The weight of bucket0 should be " + bucket0Weight);
    assertEquals(String.valueOf(1 - bucket0Weight), String.format("%.1f", (partition2numRecords.get(1) * 1.0f / totalInsertNum)), "The weight of bucket1 should be " + (1 - bucket0Weight));
}