本篇内容主要讲解“flinksql怎么将数据写入到文件中”,感兴趣的朋友不妨来看看。本文介绍的方法操作简单快捷,实用性强。下面就让小编来带大家学习“flinksql怎么将数据写入到文件中”吧!
package com.jd.dataoutput;
import com.jd.data.SensorReading;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.table.api.DataTypes;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import org.apache.flink.table.descriptors.FileSystem;
import org.apache.flink.table.descriptors.OldCsv;
import org.apache.flink.table.descriptors.Schema;
public class FlinkSqlOutputFile {
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
env.setParallelism(1);
DataStreamSource<String> stream = env.readTextFile("/Users/liuhaijing/Desktop/flinktestword/aaa.txt");
// DataStreamSource<String> stream = env.socketTextStream("localhost", 8888);
SingleOutputStreamOperator<SensorReading> map = stream.map(new MapFunction<String, SensorReading>() {
public SensorReading map(String s) throws Exception {
String[] split = s.split(",");
return new SensorReading(split[0], split[1], split[2]);
}
});
StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env);
// 使用 table api
Table table = tableEnv.fromDataStream(map);
// table.printSchema();
Table select = table.select("a,b");
// select.printSchema();
// 使用 sql api
// tableEnv.createTemporaryView("test", map);
// Table select = tableEnv.sqlQuery(" select a, b from test");
// select.printSchema();
// DataStream<SensorReading2> sensorReading2DataStream = tableEnv.toAppendStream(select, SensorReading2.class);
// sensorReading2DataStream.map(new MapFunction<SensorReading2, Object>() {
// @Override
// public Object map(SensorReading2 value) throws Exception {
// System.out.println(value.a+" "+ value.b);
// return null;
// }
// });
// tableEnv.connect(new FileSystem().path("/Users/liuhaijing/IdeaProjects/haijing3/spark/flinksqldemo/output/out.txt"))
// .withFormat(new Csv())
// .withSchema(
// new Schema()
// .field("a", DataTypes.STRING())
// .field("b", DataTypes.STRING()))
// .inAppendMode()
// .createTemporaryTable("outputTable");
// select.insertInto("outputTable");
tableEnv.connect(new FileSystem().path("/Users/liuhaijing/IdeaProjects/haijing3/spark/flinksqldemo/output/out.txt"))
.withFormat(new OldCsv())
.withSchema(new Schema()
.field("a", DataTypes.STRING())
).inAppendMode()
.createTemporaryTable("outputTable");
select.insertInto("outputTable");
env.execute();
}
}
到此,相信大家对“flinksql怎么将数据写入到文件中”有了更深的了解,不妨来实际操作一番吧!这里是亿速云网站,更多相关内容可以进入相关频道进行查询,关注我们,继续学习!
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原文链接:https://my.oschina.net/captainliu/blog/4973404