从简单的java程序中调用Giraph作业

时间:2018-01-25 16:05:23

标签: java hadoop giraph

我是Giraph和Hadoop Yarn的新手。以下Giraph的quick start引导我从命令行的源代码中运行jar构建的示例作业。

我想从简单的java程序中运行该作业。这个问题的灵感来自之前类似的MapReduce作业question。寻找与java相关的类似答案。

我在本地设置了纱线 - 需要一种方法来从java程序中提供作业。

很明显:https://giraph.apache.org/apidocs/org/apache/giraph/job/GiraphJob.html必须有办法解决这个问题 - 但我发现用纱线很难找到它的例子。

1 个答案:

答案 0 :(得分:0)

从GiraphRunner的源代码中找到了一种方法:

@Test
public void testPageRank() throws IOException, ClassNotFoundException, InterruptedException {

    GiraphConfiguration giraphConf = new GiraphConfiguration(getConf());
    giraphConf.setWorkerConfiguration(1,1,100);
    GiraphConstants.SPLIT_MASTER_WORKER.set(giraphConf, false);

    giraphConf.setVertexInputFormatClass(JsonLongDoubleFloatDoubleVertexInputFormat.class);
    GiraphFileInputFormat.setVertexInputPath(giraphConf,
                                             new Path("/input/tiny-graph.txt"));
    giraphConf.setVertexOutputFormatClass(IdWithValueTextOutputFormat.class);

    giraphConf.setComputationClass(PageRankComputation.class);

    GiraphJob giraphJob = new GiraphJob(giraphConf, "page-rank");       

    FileOutputFormat.setOutputPath(giraphJob.getInternalJob(),
                                   new Path("/output/page-rank2"));
    giraphJob.run(true);
}

private Configuration getConf() {
    Configuration conf = new Configuration();
    conf.set("fs.defaultFS", "hdfs://localhost:9000");

    conf.set("yarn.resourcemanager.address", "localhost:8032");
    conf.set("yarn.resourcemanager.hostname", "localhost");

    // framework is now "yarn", should be defined like this in mapred-site.xm
    conf.set("mapreduce.framework.name", "yarn");
    return conf;
}
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