com.google.cloud.training.dataanalyst.javahelp.f1_11_streaming_pipeline.java Source code

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Here is the source code for com.google.cloud.training.dataanalyst.javahelp.f1_11_streaming_pipeline.java

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/*
 * Copyright (C) 2016 Google 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 com.google.cloud.training.dataanalyst.javahelp;

import java.util.ArrayList;
import java.util.Date;
import java.util.List;

import org.joda.time.Duration;

import com.google.api.services.bigquery.model.TableFieldSchema;
import com.google.api.services.bigquery.model.TableRow;
import com.google.api.services.bigquery.model.TableSchema;
import com.google.cloud.dataflow.sdk.Pipeline;
import com.google.cloud.dataflow.sdk.io.BigQueryIO;
import com.google.cloud.dataflow.sdk.io.PubsubIO;
import com.google.cloud.dataflow.sdk.options.DataflowPipelineOptions;
import com.google.cloud.dataflow.sdk.options.Default;
import com.google.cloud.dataflow.sdk.options.Description;
import com.google.cloud.dataflow.sdk.options.PipelineOptionsFactory;
import com.google.cloud.dataflow.sdk.runners.DataflowPipelineRunner;
import com.google.cloud.dataflow.sdk.transforms.DoFn;
import com.google.cloud.dataflow.sdk.transforms.ParDo;
import com.google.cloud.dataflow.sdk.transforms.Sum;
import com.google.cloud.dataflow.sdk.transforms.windowing.SlidingWindows;
import com.google.cloud.dataflow.sdk.transforms.windowing.Window;

/**
 * A dataflow pipeline that listens to a PubSub topic and writes out aggregates
 * on windows to BigQuery
 * 
 * @author Steven Murhula Kahomboshi
 *
 */
public class f1_11_streaming_pipeline {

    public static interface MyOptions extends DataflowPipelineOptions {
        @Description("Output BigQuery table <project_id>:<dataset_id>.<table_id>")
        @Default.String("cloud-training-demos:demos.streamdemo")
        String getOutput();

        void setOutput(String s);

        @Description("Input topic")
        @Default.String("projects/cloud-training-demos/topics/streamdemo")
        String getInput();

        void setInput(String s);
    }

    @SuppressWarnings("serial")
    public static void main(String[] args) {
        MyOptions options = PipelineOptionsFactory.fromArgs(args).withValidation().as(MyOptions.class);
        options.setStreaming(true);
        Pipeline p = Pipeline.create(options);

        String topic = options.getInput();
        String output = options.getOutput();

        // Build the table schema for the output table.
        List<TableFieldSchema> fields = new ArrayList<>();
        fields.add(new TableFieldSchema().setName("timestamp").setType("TIMESTAMP"));
        fields.add(new TableFieldSchema().setName("num_words").setType("INTEGER"));
        TableSchema schema = new TableSchema().setFields(fields);

        p //
                .apply("GetMessages", PubsubIO.Read.topic(topic)) //
                .apply("window", Window.into(SlidingWindows//
                        .of(Duration.standardMinutes(2))//
                        .every(Duration.standardSeconds(30)))) //
                .apply("WordsPerLine", ParDo.of(new DoFn<String, Integer>() {
                    @Override
                    public void processElement(ProcessContext c) throws Exception {
                        String line = c.element();
                        c.output(line.split(" ").length);
                    }
                }))//
                .apply("WordsInTimeWindow", Sum.integersGlobally().withoutDefaults()) //
                .apply("ToBQRow", ParDo.of(new DoFn<Integer, TableRow>() {
                    @Override
                    public void processElement(ProcessContext c) throws Exception {
                        TableRow row = new TableRow();
                        row.set("timestamp", new Date().getTime());
                        row.set("num_words", c.element());
                        c.output(row);
                    }
                })) //
                .apply(BigQueryIO.Write.to(output)//
                        .withSchema(schema)//
                        .withCreateDisposition(BigQueryIO.Write.CreateDisposition.CREATE_IF_NEEDED));

        p.run();
    }
}