Examples with RowData org.apache.flink.table.data.RowData used on opensource projects

Example 41 with RowData

use of org.apache.flink.table.data.RowData in project flink by apache.

the class OrcNoHiveBulkWriterFactory method create.

@Override
public BulkWriter<RowData> create(FSDataOutputStream out) throws IOException {
    OrcFile.WriterOptions opts = OrcFile.writerOptions(new Properties(), conf);
    TypeDescription description = TypeDescription.fromString(schema);
    opts.setSchema(description);
    opts.physicalWriter(new NoHivePhysicalWriterImpl(out, opts));
    WriterImpl writer = new WriterImpl(null, new Path("."), opts);
    VectorizedRowBatch rowBatch = description.createRowBatch();
    return new BulkWriter<RowData>() {

        @Override
        public void addElement(RowData row) throws IOException {
            int rowId = rowBatch.size++;
            for (int i = 0; i < row.getArity(); ++i) {
                setColumn(rowId, rowBatch.cols[i], fieldTypes[i], row, i);
            }
            if (rowBatch.size == rowBatch.getMaxSize()) {
                writer.addRowBatch(rowBatch);
                rowBatch.reset();
            }
        }

        @Override
        public void flush() throws IOException {
            if (rowBatch.size != 0) {
                writer.addRowBatch(rowBatch);
                rowBatch.reset();
            }
        }

        @Override
        public void finish() throws IOException {
            flush();
            writer.close();
        }
    };
}

Example 42 with RowData

use of org.apache.flink.table.data.RowData in project flink by apache.

the class FileSystemTableSink method createStreamingSink.

private DataStreamSink<?> createStreamingSink(ProviderContext providerContext, DataStream<RowData> dataStream, Context sinkContext, final int parallelism) {
    FileSystemFactory fsFactory = FileSystem::get;
    RowDataPartitionComputer computer = partitionComputer();
    boolean autoCompaction = tableOptions.getBoolean(AUTO_COMPACTION);
    Object writer = createWriter(sinkContext);
    boolean isEncoder = writer instanceof Encoder;
    TableBucketAssigner assigner = new TableBucketAssigner(computer);
    TableRollingPolicy rollingPolicy = new TableRollingPolicy(!isEncoder || autoCompaction, tableOptions.get(SINK_ROLLING_POLICY_FILE_SIZE).getBytes(), tableOptions.get(SINK_ROLLING_POLICY_ROLLOVER_INTERVAL).toMillis(), tableOptions.get(SINK_ROLLING_POLICY_INACTIVITY_INTERVAL).toMillis());
    String randomPrefix = "part-" + UUID.randomUUID().toString();
    OutputFileConfig.OutputFileConfigBuilder fileNamingBuilder = OutputFileConfig.builder();
    fileNamingBuilder = autoCompaction ? fileNamingBuilder.withPartPrefix(convertToUncompacted(randomPrefix)) : fileNamingBuilder.withPartPrefix(randomPrefix);
    OutputFileConfig fileNamingConfig = fileNamingBuilder.build();
    BucketsBuilder<RowData, String, ? extends BucketsBuilder<RowData, ?, ?>> bucketsBuilder;
    if (isEncoder) {
        // noinspection unchecked
        bucketsBuilder = StreamingFileSink.forRowFormat(path, new ProjectionEncoder((Encoder<RowData>) writer, computer)).withBucketAssigner(assigner).withOutputFileConfig(fileNamingConfig).withRollingPolicy(rollingPolicy);
    } else {
        // noinspection unchecked
        bucketsBuilder = StreamingFileSink.forBulkFormat(path, new ProjectionBulkFactory((BulkWriter.Factory<RowData>) writer, computer)).withBucketAssigner(assigner).withOutputFileConfig(fileNamingConfig).withRollingPolicy(rollingPolicy);
    }
    long bucketCheckInterval = tableOptions.get(SINK_ROLLING_POLICY_CHECK_INTERVAL).toMillis();
    DataStream<PartitionCommitInfo> writerStream;
    if (autoCompaction) {
        long compactionSize = tableOptions.getOptional(COMPACTION_FILE_SIZE).orElse(tableOptions.get(SINK_ROLLING_POLICY_FILE_SIZE)).getBytes();
        CompactReader.Factory<RowData> reader = createCompactReaderFactory(sinkContext).orElseThrow(() -> new TableException("Please implement available reader for compaction:" + " BulkFormat, FileInputFormat."));
        writerStream = StreamingSink.compactionWriter(providerContext, dataStream, bucketCheckInterval, bucketsBuilder, fsFactory, path, reader, compactionSize, parallelism);
    } else {
        writerStream = StreamingSink.writer(providerContext, dataStream, bucketCheckInterval, bucketsBuilder, parallelism, partitionKeys, tableOptions);
    }
    return StreamingSink.sink(providerContext, writerStream, path, tableIdentifier, partitionKeys, new EmptyMetaStoreFactory(path), fsFactory, tableOptions);
}

Example 43 with RowData

use of org.apache.flink.table.data.RowData in project flink by apache.

the class DeserializationSchemaAdapter method createDeserialization.

private DeserializationSchema<RowData> createDeserialization() throws IOException {
    try {
        DeserializationSchema<RowData> deserialization = InstantiationUtil.clone(deserializationSchema);
        deserialization.open(new DeserializationSchema.InitializationContext() {

            @Override
            public MetricGroup getMetricGroup() {
                throw new UnsupportedOperationException("MetricGroup is unsupported in BulkFormat.");
            }

            @Override
            public UserCodeClassLoader getUserCodeClassLoader() {
                return (UserCodeClassLoader) Thread.currentThread().getContextClassLoader();
            }
        });
        return deserialization;
    } catch (Exception e) {
        throw new IOException(e);
    }
}

Example 44 with RowData

use of org.apache.flink.table.data.RowData 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 45 with RowData

use of org.apache.flink.table.data.RowData 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);
}