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博主把核心的内容写在最前面,其他内容和完整的代码放在最后面哈:
<dependency>
<groupId>redis.clients</groupId>
<artifactId>jedis</artifactId>
<version>3.0.1</version>
</dependency>
create_data.MyData2
与 create_data.MyDataSource2;
在后面哈
package write_to_redis; import create_data.MyData2; import create_data.MyDataSource2; import org.apache.flink.streaming.api.datastream.DataStreamSource; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; public class RedisSinkMainTest { public static void main(String[] args) throws Exception { final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); DataStreamSource<MyData2> sourceStream = env.addSource(new MyDataSource2()); // 得到数据源 sourceStream.addSink(new RedisSink()); // 核心!保存到redis sourceStream.print(); env.execute("Flink_to_mysql demo"); } }
可以看到,使用流.addSink()
就可以保存流的数据了,java使用redis
,会依赖Jedis
这个包,保存的内容自定义,代码如下:
package write_to_redis; import create_data.MyData2; import org.apache.flink.streaming.api.functions.sink.RichSinkFunction; import redis.clients.jedis.Jedis; import org.apache.flink.configuration.Configuration; import redis.clients.jedis.JedisPool; import java.util.HashMap; public class RedisSink extends RichSinkFunction<MyData2> { private Jedis jedis = null; @Override public void open(Configuration parameters) throws Exception { super.open(parameters); String host = "127.0.0.1"; int port = 6379; JedisPool pool = new JedisPool(host, port); jedis = pool.getResource(); } @Override public void invoke(MyData2 value, Context context) { HashMap<String, String> map = new HashMap<>(); map.put("timestamp", String.valueOf(value.getTimestamp())); map.put("num", String.valueOf(value.getNum())); map.put("value_list", String.valueOf(value.getValueList()[0])); String key = String.valueOf(value.getTimestamp()); jedis.hmset(key, map); // 保存的格式是key:时间戳,value: 全部的内容 jedis.expire(key, 5); // 生存周期 5s (5s后在redis数据库中删除) } @Override public void close() throws Exception { super.close(); jedis.close(); if (jedis != null) { jedis.close(); } } }
只需要覆写open
,invoke
,close
三个函数即可,一个用于打开连接,一个用于执行操作,一个用于关闭连接。
数据类与生成数据的类请参考:https://blog.csdn.net/weixin_35757704/article/details/120626180
MyData2.java
package create_data; import java.util.Arrays; public class MyData2 { public int keyId; public long timestamp; public int num; public double[] valueList; public MyData2() { } public MyData2(int accountId, long timestamp, int num, double[] valueList) { this.keyId = accountId; this.timestamp = timestamp; this.num = num; this.valueList = valueList; } public long getKeyId() { return keyId; } public void setKeyId(int keyId) { this.keyId = keyId; } public long getTimestamp() { return timestamp; } public void setTimestamp(long timestamp) { this.timestamp = timestamp; } public double[] getValueList() { return valueList; } public void setValueList(double[] valueList) { this.valueList = valueList; } public int getNum() { return num; } public void setNum(int num) { this.num = num; } @Override public String toString() { return "MyData{" + "keyId=" + keyId + ", timestamp=" + timestamp + ", num=" + num + ", valueList= " + Arrays.toString(valueList) + '}'; } }
MyDataSource2.java
package create_data; import org.apache.flink.streaming.api.functions.source.SourceFunction; import java.util.Random; public class MyDataSource2 implements SourceFunction<MyData2> { // 定义标志位,用来控制数据的产生 private boolean isRunning = true; private final Random random = new Random(0); @Override public void run(SourceContext ctx) throws Exception { while (isRunning) { ctx.collect(new MyData2(random.nextInt(3), System.currentTimeMillis(), 1, new double[]{random.nextDouble()})); Thread.sleep(1000L); // 1s生成1个数据 } } @Override public void cancel() { isRunning = false; } }
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