co.cask.cdap.etl.batch.connector.ConnectorSink.java Source code

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Here is the source code for co.cask.cdap.etl.batch.connector.ConnectorSink.java

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/*
 * Copyright  2016 Cask Data, Inc.
 *
 * 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 co.cask.cdap.etl.batch.connector;

import co.cask.cdap.api.data.format.StructuredRecord;
import co.cask.cdap.api.data.schema.Schema;
import co.cask.cdap.api.dataset.lib.KeyValue;
import co.cask.cdap.api.dataset.lib.PartitionKey;
import co.cask.cdap.api.dataset.lib.PartitionedFileSetArguments;
import co.cask.cdap.etl.api.Emitter;
import co.cask.cdap.etl.api.batch.BatchSink;
import co.cask.cdap.etl.api.batch.BatchSinkContext;
import co.cask.cdap.format.StructuredRecordStringConverter;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;

import java.io.IOException;
import java.util.HashMap;
import java.util.Map;

/**
 * Internal batch sink used as a connector between pipeline phases.
 * Though this extends BatchSink, this will not be instantiated through the plugin framework, but will
 * be created explicitly through the application.
 *
 * The batch connector is just a PartitionedFileSet, where a partition is the name of a phase that wrote to it.
 * This way, multiple phases can have the same local PartitionedFileSet as a sink, and the source will read data
 * from all partitions.
 *
 * This is because we don't want this to show up as a plugin that users can select and use, and also because
 * it uses features not exposed in the etl api (local workflow datasets).
 *
 * TODO: improve storage format. It is currently a json of the record but that is obviously not ideal
 */
public class ConnectorSink extends BatchSink<StructuredRecord, NullWritable, Text> {
    private final String datasetName;
    private final String phaseName;
    private final boolean writeSchema;

    public ConnectorSink(String datasetName, String phaseName, boolean writeSchema) {
        this.datasetName = datasetName;
        this.phaseName = phaseName;
        this.writeSchema = writeSchema;
    }

    @Override
    public void prepareRun(BatchSinkContext context) throws Exception {
        Map<String, String> arguments = new HashMap<>();
        PartitionKey outputPartition = PartitionKey.builder().addStringField("phase", phaseName).build();
        PartitionedFileSetArguments.setOutputPartitionKey(arguments, outputPartition);
        context.addOutput(datasetName, arguments);
    }

    @Override
    public void transform(StructuredRecord input, Emitter<KeyValue<NullWritable, Text>> emitter) throws Exception {
        if (writeSchema) {
            input = modifyRecord(input);
        }
        emitter.emit(
                new KeyValue<>(NullWritable.get(), new Text(StructuredRecordStringConverter.toJsonString(input))));
    }

    private StructuredRecord modifyRecord(StructuredRecord input) throws IOException {
        Schema inputSchema = input.getSchema();
        return StructuredRecord.builder(ConnectorSource.RECORD_WITH_SCHEMA).set("schema", inputSchema.toString())
                .set("record", StructuredRecordStringConverter.toJsonString(input)).build();
    }
}