Ingest To Kafka using apache beam - Java Big Data

Java examples for Big Data:apache kafka

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Description

Ingest To Kafka using apache beam

Demo Code

/*/*  w  w  w  . jav  a  2  s . c o  m*/
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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
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package org.apache.beam.samples.ingest;

import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.coders.StringUtf8Coder;
import org.apache.beam.sdk.io.TextIO;
import org.apache.beam.sdk.io.kafka.KafkaIO;
import org.apache.beam.sdk.options.Default;
import org.apache.beam.sdk.options.DefaultValueFactory;
import org.apache.beam.sdk.options.Description;
import org.apache.beam.sdk.options.PipelineOptions;
import org.apache.beam.sdk.options.PipelineOptionsFactory;

import org.apache.beam.sdk.transforms.DoFn;
import org.joda.time.Duration;
import org.joda.time.Instant;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.text.SimpleDateFormat;
import java.util.Date;

public class IngestToKafka {

    static class AddTimestampFn extends DoFn<String, String> {
        private static final Duration RAND_RANGE = Duration
                .standardHours(24);
        private final Instant minTimestamp;

        AddTimestampFn() {
            this.minTimestamp = new Instant(System.currentTimeMillis());
        }

        @ProcessElement
        public void processElement(ProcessContext c) {
            // Generate a timestamp that falls somewhere in the past RAND_RANGE hours.
            long randMillis = (long) (Math.random() * RAND_RANGE
                    .getMillis());
            //            Instant randomTimestamp = minTimestamp.plus(randMillis);
            Instant randomTimestamp = minTimestamp.minus(randMillis);
            /**
             * Concept #2: Set the data element with that timestamp.
             */
            c.outputWithTimestamp(c.element(), new Instant(randomTimestamp));
        }
    }

    private static final Logger LOG = LoggerFactory
            .getLogger(IngestToKafka.class);

    /**
     * Specific pipeline options.
     */
    private interface Options extends PipelineOptions {
        String GDELT_EVENTS_URL = "http://data.gdeltproject.org/events/";

        @Description("GDELT file date")
        @Default.InstanceFactory(Options.GDELTFileFactory.class)
        String getDate();

        void setDate(String value);

        @Description("Input Path")
        String getInput();

        void setInput(String value);

        @Description("Kafka Bootstrap Servers")
        @Default.String("localhost:9092")
        String getKafkaServer();

        void setKafkaServer(String value);

        @Description("Kafka Topic Name")
        @Default.String("gdelt")
        String getKafkaTopic();

        void setKafkaTopic(String value);

        class GDELTFileFactory implements DefaultValueFactory<String> {
            public String create(PipelineOptions options) {
                SimpleDateFormat format = new SimpleDateFormat("yyyyMMdd");
                return format.format(new Date());
            }
        }
    }

    public static void main(String[] args) {
        Options options = PipelineOptionsFactory.fromArgs(args)
                .withValidation().as(Options.class);
        if (options.getInput() == null) {
            options.setInput(Options.GDELT_EVENTS_URL + options.getDate()
                    + ".export.CSV.zip");
        }
        LOG.info(options.toString());

        Pipeline pipeline = Pipeline.create(options);
        pipeline.apply("ReadFromGDELTFile",
                TextIO.Read.from(options.getInput()))
        //            .apply(ParDo.of(new AddTimestampFn()))
        //            .apply(Trace.Log.<String>print())
                .apply("WriteToKafka",
                        KafkaIO.write()
                                .withBootstrapServers(
                                        options.getKafkaServer())
                                .withTopic(options.getKafkaTopic())
                                .withKeyCoder(StringUtf8Coder.of())
                                .withValueCoder(StringUtf8Coder.of())
                                .values());
        pipeline.run();
    }
}

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