Java tutorial
/* * Copyright 2014 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Amazon Software License (the "License"). * You may not use this file except in compliance with the License. * A copy of the License is located at * * http://aws.amazon.com/asl/ * * or in the "license" file accompanying this file. This file 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.amazonaws.hbase.kinesis; import java.io.BufferedReader; import java.io.ByteArrayOutputStream; import java.io.IOException; import java.io.InputStream; import java.io.InputStreamReader; import java.io.ObjectOutputStream; import java.nio.ByteBuffer; import java.util.ArrayList; import java.util.List; import java.util.UUID; import org.apache.commons.logging.Log; import org.apache.commons.logging.LogFactory; import com.amazonaws.services.kinesis.connectors.KinesisConnectorConfiguration; import com.amazonaws.services.kinesis.model.PutRecordRequest; /** * This class is a data source for supplying input to the Amazon Kinesis stream. It reads lines from the * input file specified in the constructor and batches up records before emitting them. */ public class BatchedStreamSource extends StreamSource { private static Log LOG = LogFactory.getLog(BatchedStreamSource.class); private static int NUM_BYTES_PER_PUT_REQUEST = 50000; List<KinesisMessageModel> buffer; public BatchedStreamSource(KinesisConnectorConfiguration config, String inputFile) { this(config, inputFile, false); } public BatchedStreamSource(KinesisConnectorConfiguration config, String inputFile, boolean loopOverStreamSource) { super(config, inputFile, loopOverStreamSource); buffer = new ArrayList<KinesisMessageModel>(); } @Override protected void processInputStream(InputStream inputStream, int iteration) throws IOException { try (BufferedReader br = new BufferedReader(new InputStreamReader(inputStream))) { String line; int lines = 0; while ((line = br.readLine()) != null) { KinesisMessageModel kinesisMessageModel = objectMapper.readValue(line, KinesisMessageModel.class); buffer.add(kinesisMessageModel); if (numBytesInBuffer() > NUM_BYTES_PER_PUT_REQUEST) { /* * We need to remove the last record to ensure this data blob is accepted by the Amazon Kinesis * client which restricts the data blob to be less than 50 KB. */ KinesisMessageModel lastRecord = buffer.remove(buffer.size() - 1); flushBuffer(); /* * We add it back so it will be part of the next batch. */ buffer.add(lastRecord); } lines++; } if (!buffer.isEmpty()) { flushBuffer(); } LOG.info("Added " + lines + " records to stream source."); } } private byte[] bufferToBytes() throws IOException { ByteArrayOutputStream bos = new ByteArrayOutputStream(); ObjectOutputStream oos = new ObjectOutputStream(bos); oos.writeObject(buffer); return bos.toByteArray(); } private int numBytesInBuffer() throws IOException { return bufferToBytes().length; } private void flushBuffer() throws IOException { PutRecordRequest putRecordRequest = new PutRecordRequest(); putRecordRequest.setStreamName(config.KINESIS_INPUT_STREAM); putRecordRequest.setData(ByteBuffer.wrap(bufferToBytes())); putRecordRequest.setPartitionKey(String.valueOf(UUID.randomUUID())); kinesisClient.putRecord(putRecordRequest); buffer.clear(); } }