Examples with HiveWriterFactory org.apache.flink.connectors.hive.write.HiveWriterFactory used on opensource projects

Example 1 with HiveWriterFactory

use of org.apache.flink.connectors.hive.write.HiveWriterFactory in project flink by apache.

the class HiveTableSink method createStreamSink.

private DataStreamSink<?> createStreamSink(ProviderContext providerContext, DataStream<RowData> dataStream, StorageDescriptor sd, Properties tableProps, HiveWriterFactory recordWriterFactory, OutputFileConfig.OutputFileConfigBuilder fileNamingBuilder, final int parallelism) {
    org.apache.flink.configuration.Configuration conf = new org.apache.flink.configuration.Configuration();
    catalogTable.getOptions().forEach(conf::setString);
    String commitPolicies = conf.getString(FileSystemConnectorOptions.SINK_PARTITION_COMMIT_POLICY_KIND);
    if (!getPartitionKeys().isEmpty() && StringUtils.isNullOrWhitespaceOnly(commitPolicies)) {
        throw new FlinkHiveException(String.format("Streaming write to partitioned hive table %s without providing a commit policy. " + "Make sure to set a proper value for %s", identifier, FileSystemConnectorOptions.SINK_PARTITION_COMMIT_POLICY_KIND.key()));
    }
    HiveRowDataPartitionComputer partComputer = new HiveRowDataPartitionComputer(hiveShim, JobConfUtils.getDefaultPartitionName(jobConf), tableSchema.getFieldNames(), tableSchema.getFieldDataTypes(), getPartitionKeyArray());
    TableBucketAssigner assigner = new TableBucketAssigner(partComputer);
    HiveRollingPolicy rollingPolicy = new HiveRollingPolicy(conf.get(SINK_ROLLING_POLICY_FILE_SIZE).getBytes(), conf.get(SINK_ROLLING_POLICY_ROLLOVER_INTERVAL).toMillis(), conf.get(SINK_ROLLING_POLICY_INACTIVITY_INTERVAL).toMillis());
    boolean autoCompaction = conf.getBoolean(FileSystemConnectorOptions.AUTO_COMPACTION);
    if (autoCompaction) {
        fileNamingBuilder.withPartPrefix(convertToUncompacted(fileNamingBuilder.build().getPartPrefix()));
    }
    OutputFileConfig outputFileConfig = fileNamingBuilder.build();
    org.apache.flink.core.fs.Path path = new org.apache.flink.core.fs.Path(sd.getLocation());
    BucketsBuilder<RowData, String, ? extends BucketsBuilder<RowData, ?, ?>> builder;
    if (flinkConf.get(HiveOptions.TABLE_EXEC_HIVE_FALLBACK_MAPRED_WRITER)) {
        builder = bucketsBuilderForMRWriter(recordWriterFactory, sd, assigner, rollingPolicy, outputFileConfig);
        LOG.info("Hive streaming sink: Use MapReduce RecordWriter writer.");
    } else {
        Optional<BulkWriter.Factory<RowData>> bulkFactory = createBulkWriterFactory(getPartitionKeyArray(), sd);
        if (bulkFactory.isPresent()) {
            builder = StreamingFileSink.forBulkFormat(path, new FileSystemTableSink.ProjectionBulkFactory(bulkFactory.get(), partComputer)).withBucketAssigner(assigner).withRollingPolicy(rollingPolicy).withOutputFileConfig(outputFileConfig);
            LOG.info("Hive streaming sink: Use native parquet&orc writer.");
        } else {
            builder = bucketsBuilderForMRWriter(recordWriterFactory, sd, assigner, rollingPolicy, outputFileConfig);
            LOG.info("Hive streaming sink: Use MapReduce RecordWriter writer because BulkWriter Factory not available.");
        }
    }
    long bucketCheckInterval = conf.get(SINK_ROLLING_POLICY_CHECK_INTERVAL).toMillis();
    DataStream<PartitionCommitInfo> writerStream;
    if (autoCompaction) {
        long compactionSize = conf.getOptional(FileSystemConnectorOptions.COMPACTION_FILE_SIZE).orElse(conf.get(SINK_ROLLING_POLICY_FILE_SIZE)).getBytes();
        writerStream = StreamingSink.compactionWriter(providerContext, dataStream, bucketCheckInterval, builder, fsFactory(), path, createCompactReaderFactory(sd, tableProps), compactionSize, parallelism);
    } else {
        writerStream = StreamingSink.writer(providerContext, dataStream, bucketCheckInterval, builder, parallelism, getPartitionKeys(), conf);
    }
    return StreamingSink.sink(providerContext, writerStream, path, identifier, getPartitionKeys(), msFactory(), fsFactory(), conf);
}

Example 2 with HiveWriterFactory

use of org.apache.flink.connectors.hive.write.HiveWriterFactory in project flink by apache.

the class HiveTableSink method consume.

private DataStreamSink<?> consume(ProviderContext providerContext, DataStream<RowData> dataStream, boolean isBounded, DataStructureConverter converter) {
    checkAcidTable(catalogTable.getOptions(), identifier.toObjectPath());
    try (HiveMetastoreClientWrapper client = HiveMetastoreClientFactory.create(HiveConfUtils.create(jobConf), hiveVersion)) {
        Table table = client.getTable(identifier.getDatabaseName(), identifier.getObjectName());
        StorageDescriptor sd = table.getSd();
        Class hiveOutputFormatClz = hiveShim.getHiveOutputFormatClass(Class.forName(sd.getOutputFormat()));
        boolean isCompressed = jobConf.getBoolean(HiveConf.ConfVars.COMPRESSRESULT.varname, false);
        HiveWriterFactory writerFactory = new HiveWriterFactory(jobConf, hiveOutputFormatClz, sd.getSerdeInfo(), tableSchema, getPartitionKeyArray(), HiveReflectionUtils.getTableMetadata(hiveShim, table), hiveShim, isCompressed);
        String extension = Utilities.getFileExtension(jobConf, isCompressed, (HiveOutputFormat<?, ?>) hiveOutputFormatClz.newInstance());
        OutputFileConfig.OutputFileConfigBuilder fileNamingBuilder = OutputFileConfig.builder().withPartPrefix("part-" + UUID.randomUUID().toString()).withPartSuffix(extension == null ? "" : extension);
        final int parallelism = Optional.ofNullable(configuredParallelism).orElse(dataStream.getParallelism());
        if (isBounded) {
            OutputFileConfig fileNaming = fileNamingBuilder.build();
            return createBatchSink(dataStream, converter, sd, writerFactory, fileNaming, parallelism);
        } else {
            if (overwrite) {
                throw new IllegalStateException("Streaming mode not support overwrite.");
            }
            Properties tableProps = HiveReflectionUtils.getTableMetadata(hiveShim, table);
            return createStreamSink(providerContext, dataStream, sd, tableProps, writerFactory, fileNamingBuilder, parallelism);
        }
    } catch (TException e) {
        throw new CatalogException("Failed to query Hive metaStore", e);
    } catch (IOException e) {
        throw new FlinkRuntimeException("Failed to create staging dir", e);
    } catch (ClassNotFoundException e) {
        throw new FlinkHiveException("Failed to get output format class", e);
    } catch (IllegalAccessException | InstantiationException e) {
        throw new FlinkHiveException("Failed to instantiate output format instance", e);
    }
}

Example 3 with HiveWriterFactory

use of org.apache.flink.connectors.hive.write.HiveWriterFactory in project flink by apache.

the class HiveTableSink method createBatchSink.

private DataStreamSink<Row> createBatchSink(DataStream<RowData> dataStream, DataStructureConverter converter, StorageDescriptor sd, HiveWriterFactory recordWriterFactory, OutputFileConfig fileNaming, final int parallelism) throws IOException {
    FileSystemOutputFormat.Builder<Row> builder = new FileSystemOutputFormat.Builder<>();
    builder.setPartitionComputer(new HiveRowPartitionComputer(hiveShim, JobConfUtils.getDefaultPartitionName(jobConf), tableSchema.getFieldNames(), tableSchema.getFieldDataTypes(), getPartitionKeyArray()));
    builder.setDynamicGrouped(dynamicGrouping);
    builder.setPartitionColumns(getPartitionKeyArray());
    builder.setFileSystemFactory(fsFactory());
    builder.setFormatFactory(new HiveOutputFormatFactory(recordWriterFactory));
    builder.setMetaStoreFactory(msFactory());
    builder.setOverwrite(overwrite);
    builder.setStaticPartitions(staticPartitionSpec);
    builder.setTempPath(new org.apache.flink.core.fs.Path(toStagingDir(sd.getLocation(), jobConf)));
    builder.setOutputFileConfig(fileNaming);
    return dataStream.map((MapFunction<RowData, Row>) value -> (Row) converter.toExternal(value)).writeUsingOutputFormat(builder.build()).setParallelism(parallelism);
}

Example 4 with HiveWriterFactory

use of org.apache.flink.connectors.hive.write.HiveWriterFactory in project flink by apache.

the class HiveDeserializeExceptionTest method parameters.

@Parameterized.Parameters(name = "{1}")
public static Object[] parameters() {
    HiveWriterFactory writerFactory = new HiveWriterFactory(new JobConf(), HiveIgnoreKeyTextOutputFormat.class, new SerDeInfo(), TableSchema.builder().build(), new String[0], new Properties(), HiveShimLoader.loadHiveShim(HiveShimLoader.getHiveVersion()), false);
    HiveCompactReaderFactory compactReaderFactory = new HiveCompactReaderFactory(new StorageDescriptor(), new Properties(), new JobConf(), new CatalogTableImpl(TableSchema.builder().build(), Collections.emptyMap(), null), HiveShimLoader.getHiveVersion(), RowType.of(DataTypes.INT().getLogicalType()), false);
    HiveSourceBuilder builder = new HiveSourceBuilder(new JobConf(), new Configuration(), new ObjectPath("default", "foo"), HiveShimLoader.getHiveVersion(), new CatalogTableImpl(TableSchema.builder().field("i", DataTypes.INT()).build(), Collections.emptyMap(), null));
    builder.setPartitions(Collections.singletonList(new HiveTablePartition(new StorageDescriptor(), new Properties())));
    HiveSource<RowData> hiveSource = builder.buildWithDefaultBulkFormat();
    return new Object[][] { new Object[] { writerFactory, writerFactory.getClass().getSimpleName() }, new Object[] { compactReaderFactory, compactReaderFactory.getClass().getSimpleName() }, new Object[] { hiveSource, hiveSource.getClass().getSimpleName() } };
}

Example 5 with HiveWriterFactory

use of org.apache.flink.connectors.hive.write.HiveWriterFactory in project flink by apache.

the class HiveOutputFormatFactoryTest method testCreateOutputFormat.

@Test
public void testCreateOutputFormat() {
    TableSchema schema = TableSchema.builder().field("x", DataTypes.INT()).build();
    SerDeInfo serDeInfo = new SerDeInfo("name", LazySimpleSerDe.class.getName(), Collections.emptyMap());
    HiveWriterFactory writerFactory = new HiveWriterFactory(new JobConf(), VerifyURIOutputFormat.class, serDeInfo, schema, new String[0], new Properties(), HiveShimLoader.loadHiveShim(HiveShimLoader.getHiveVersion()), false);
    HiveOutputFormatFactory factory = new HiveOutputFormatFactory(writerFactory);
    org.apache.flink.core.fs.Path path = new org.apache.flink.core.fs.Path(TEST_URI_SCHEME, TEST_URI_AUTHORITY, "/foo/path");
    factory.createOutputFormat(path);
}