我想给hive写一些数据集。我尝试了hivejdbc,但它不支持batchexecute。所以我改为将其写入hdfs,然后生成hive表。
我尝试使用以下代码来编写hdfs:
package test;
import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.hadoop.mapreduce.HadoopOutputFormat;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.hadoop.fs.Path;
import org.apache.flink.fs.s3hadoop.shaded.org.apache.hadoop.io.IntWritable;
import org.apache.flink.fs.s3presto.shaded.org.apache.hadoop.io.Text;
import org.apache.flink.fs.s3presto.shaded.org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.flink.util.Collector;
import org.apache.hadoop.mapreduce.Job;
public class Test {
public static void main(String[] args) {
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
DataSet<String> text = env.fromElements(
"Who's there?",
"I think I hear them. Stand, ho! Who's there?");
DataSet<Tuple2<String, Integer>> hadoopResult = text
.flatMap(new LineSplitter())
.groupBy(0)
.sum(1);
//job and jobConf is null,I do not know how to initialize them (new)
Job job = null;
Job jobConf = null;
HadoopOutputFormat<String, Integer> hadoopOF =
new HadoopOutputFormat<String, Integer>(
new TextOutputFormat<String, Integer>(), job
);
hadoopOF.getConfiguration().set("mapreduce.output.textoutputformat.separator", " ");
TextOutputFormat.setOutputPath(jobConf, new Path("hdfs://somewhere/"));
hadoopResult.output(hadoopOF);
}
public static class LineSplitter implements FlatMapFunction<String, Tuple2<String, Integer>> {
private static final long serialVersionUID = 3100297611484689639L;
public void flatMap(String line, Collector<Tuple2<String, Integer>> out) {
for (String word : line.split(" ")) {
out.collect(new Tuple2<String, Integer>(word, 1));
}
}
}
}
但是有很多编译错误。所有的代码都是从官方网站复制和缝合这些代码。
我的问题是:如何创建job和jobconf对象,然后将数据集写入hdfs?
1条答案
按热度按时间q3qa4bjr1#
您将在文档中找到一个完整的示例。
要创建作业,请执行以下操作:
我认为您不需要jobconf对象——似乎您可以在这两个地方使用job对象。