Flink学习笔记-常用Source和Sink简单示例

Flink 1.10.0 版本目前支持以下的Connector

• Apache Kafka (source/sink)
• Apache Cassandra (sink)
• Amazon Kinesis Streams (source/sink)
• Elasticsearch (sink)
• Hadoop FileSystem (sink)
• RabbitMQ (source/sink)
• Apache NiFi (source/sink)
• Twitter Streaming API (source)
• Google PubSub (source/sink)
• Apache ActiveMQ (source/sink)
• Apache Flume (sink)
• Redis (sink)
• Akka (sink)
• Netty (source)

 

 

Maven配置Flink依赖

<flink.version>1.10.0</flink.version>
<scala.binary.version>2.12</scala.binary.version>
<scala.version>2.12.8</scala.version>

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-scala_${scala.binary.version}</artifactId>
    <version>${flink.version}</version>
</dependency>

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>
    <version>${flink.version}</version>
</dependency>

Collection Source

def collectionSource(env: StreamExecutionEnvironment): Unit = {
    val collection_stream = env.fromCollection(List(("zhang li zhang"), ("wang zhang li")))
    val stream = collection_stream.flatMap(_.split(" ")).map((_, 1)).keyBy(0).sum(1)
    stream.print()
}

Text File Source And Sink

def textFileSourceSink(env: StreamExecutionEnvironment):Unit = {
    val file_stream:DataStream[String] = env.readTextFile("G:\\workspace\\flink\\src\\main\\resources\\wc.txt")
    val stream = file_stream.flatMap(_.split(" ")).map((_, 1)).keyBy(0).sum(1)
    stream.print()
    stream.writeAsText("G:\\workspace\\flink\\src\\main\\resources\\r1")
    stream.writeAsCsv("G:\\workspace\\flink\\src\\main\\resources\\r2")
}

Socket Source And Sink

def socketSourceSink(env: StreamExecutionEnvironment):Unit = {
    val socket_stream:DataStream[String] = env.socketTextStream("192.168.0.1", 7000)
    val stream = socket_stream.flatMap(_.split(" ")).map((_, 1)).keyBy(0).sum(1)
    stream.print()
    stream.writeToSocket(hostname = "192.168.0.1", port = 7001, new SerializationSchema[(String, Int)] {
      override def serialize(t: (String, Int)): Array[Byte] = {
        var oos: ObjectOutputStream = null
        var baos: ByteArrayOutputStream = null
        try {
          baos = new ByteArrayOutputStream()
          oos = new ObjectOutputStream(baos)
          oos.writeBytes(t._1)
          oos.writeInt(t._2)
          return baos.toByteArray
        } catch {
          case e: Exception => e.printStackTrace()
        } finally {
          baos.close()
          oos.close()
        }
        null
      }
    })
}

Kafka Source And Sink

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-connector-kafka_2.12</artifactId>
    <version>${flink.version}</version>
</dependency>

def kafkaSourceSink(env: StreamExecutionEnvironment):Unit = {
    val properties1 = new Properties()
    properties1.setProperty("bootstrap.servers", "192.168.0.1:9092")
    properties1.setProperty("zookeeper.connect", "192.168.0.1:2181/kafka")
    properties1.setProperty("group.id", "tmp-1")
    properties1.setProperty("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")
    properties1.setProperty("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")
    properties1.setProperty("auto.offset.reset", "latest")
    val kafka_stream = env.addSource(new FlinkKafkaConsumer[String]("tmp1", new SimpleStringSchema(), properties1))
    val stream = kafka_stream.flatMap(_.split(" ")).map((_, 1)).keyBy(0).sum(1).map(_.toString())
    stream.print("kafka consumer")
    val properties2 = new Properties()
    properties2.put("bootstrap.servers", "192.168.0.1:9092")
    stream.addSink(new FlinkKafkaProducer[String]("tmp2", new SimpleStringSchema(), properties2))
  
    stream.addSink(new FlinkKafkaProducer[String]("tmp2", new KafkaSerializationSchema[String] {
      override def serialize(value: String, aLong: lang.Long): ProducerRecord[Array[Byte], Array[Byte]] = {
        var oos: ObjectOutputStream = null
        var baos: ByteArrayOutputStream = null
        try {
          baos = new ByteArrayOutputStream()
          oos = new ObjectOutputStream(baos)
          oos.writeBytes(value)
          return new ProducerRecord[Array[Byte], Array[Byte]]("tmp2", baos.toByteArray)
        } catch {
          case e: Exception => e.printStackTrace()
        } finally {
          baos.close()
          oos.close()
        }
        null
      }
    }, properties2, FlinkKafkaProducer.Semantic.EXACTLY_ONCE))
    
}

Redis Sink

<dependency>
    <groupId>org.apache.bahir</groupId>
    <artifactId>flink-connector-redis_2.11</artifactId>
    <version>1.0</version>
</dependency>

def redisSink(env: StreamExecutionEnvironment):Unit = {
    val jedisPoolConfig: FlinkJedisPoolConfig = new FlinkJedisPoolConfig.Builder()
      .setHost("192.168.0.1").setPort(6379).build()
    val file_stream:DataStream[String] = env.readTextFile("G:\\workspace\\flink\\src\\main\\resources\\wc.txt")
    val stream = file_stream.flatMap(_.split(" ")).map((_, 1)).keyBy(0).sum(1)
    stream.print()
    stream.addSink(new RedisSink[(String, Int)](jedisPoolConfig, new RedisMapper[(String, Int)] {
      override def getCommandDescription: RedisCommandDescription = {
        return new RedisCommandDescription(RedisCommand.HSET, "tmp1")
      }

      override def getKeyFromData(t: (String, Int)): String = t._1

      override def getValueFromData(t: (String, Int)): String = t._2.toString

    }))
}


def redisClusterSink(env: StreamExecutionEnvironment):Unit = {
    val nodes = new util.HashSet[InetSocketAddress]()
    nodes.add(new InetSocketAddress( "192.168.0.1",6373))
    nodes.add(new InetSocketAddress( "192.168.0.1",6374))
    nodes.add(new InetSocketAddress( "192.168.0.1",6375))
    nodes.add(new InetSocketAddress( "192.168.0.1",6376))
    nodes.add(new InetSocketAddress( "192.168.0.1",6377))
    nodes.add(new InetSocketAddress( "192.168.0.1",6378))
    val jedisClusterConfig: FlinkJedisClusterConfig = new FlinkJedisClusterConfig.Builder().setNodes(nodes).build()
    val file_stream:DataStream[String] = env.readTextFile("G:\\workspace\\flink\\src\\main\\resources\\wc.txt")
    val stream = file_stream.flatMap(_.split(" ")).map((_, 1)).keyBy(0).sum(1)
    stream.print()
    stream.addSink(new RedisSink[(String, Int)](jedisClusterConfig, new RedisMapper[(String, Int)] {
      override def getCommandDescription: RedisCommandDescription = {
        return new RedisCommandDescription(RedisCommand.HSET, "tmp1")
      }

      override def getKeyFromData(t: (String, Int)): String = t._1

      override def getValueFromData(t: (String, Int)): String = t._2.toString

    }))
}

Elasticsearch Sink

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-connector-elasticsearch5_2.12</artifactId>
    <version>1.8.3</version>
</dependency>

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-connector-elasticsearch7_2.12</artifactId>
    <version>1.10.0</version>
</dependency>

def elasticsearch5Sink(env: StreamExecutionEnvironment): Unit = {
    val file_stream:DataStream[String] = env.readTextFile("G:\\workspace\\flink\\src\\main\\resources\\users.txt")
    file_stream.print()

    val config = new java.util.HashMap[String, String]
    config.put("cluster.name", "my-application")
    config.put("bulk.flush.max.actions", "1")

    val transportAddresses = new java.util.ArrayList[InetSocketAddress]
    transportAddresses.add(new InetSocketAddress(InetAddress.getByName("192.168.0.1"), 9300))

    val elasticsearchSink = new ElasticsearchSink[String](config, transportAddresses,
      new ElasticsearchSinkFunction[String] {
        override def process(element: String, runtimeContext: RuntimeContext, requestIndexer: RequestIndexer): Unit = {
          val datas: Array[String] = element.split(",")
          val data = new util.HashMap[String, String]()
          data.put("id", datas(0))
          data.put("name", datas(1))
          data.put("phone", datas(2))
          data.put("age", datas(3))
          val indexRequest = Requests.indexRequest().index("user").source(data)
          requestIndexer.add(indexRequest)
        }
      },
      new ActionRequestFailureHandler() {
        @throws(classOf[Throwable])
        override def onFailure(actionRequest: ActionRequest, throwable: Throwable, restStatusCode: Int,
                               requestIndexer: RequestIndexer): Unit = {
          if (ExceptionUtils.findThrowable(throwable, classOf[EsRejectedExecutionException]).isPresent()) {
            requestIndexer.add(actionRequest)
          } else if (ExceptionUtils.findThrowable(throwable, classOf[ElasticsearchParseException]).isPresent()) {

          } else {
            throw throwable
          }
        }
      }
    )

    file_stream.addSink(elasticsearchSink)
}


def elasticsearch7Sink(env: StreamExecutionEnvironment): Unit = {
    val file_stream:DataStream[String] = env.readTextFile("G:\\workspace\\flink\\src\\main\\resources\\users.txt")
    file_stream.print()
    val httpHosts = new util.ArrayList[HttpHost]()
    httpHosts.add(new HttpHost("192.168.0.1", 9200, "http"))
    val elasticsearchSinkBuilder = new ElasticsearchSink.Builder[String](httpHosts,
      new ElasticsearchSinkFunction[String] {
        override def process(element: String, runtimeContext: RuntimeContext, requestIndexer: RequestIndexer): Unit = {
          val datas: Array[String] = element.split(",")
          val data = new util.HashMap[String, String]()
          data.put("id", datas(0))
          data.put("name", datas(1))
          data.put("phone", datas(2))
          data.put("age", datas(3))
          val indexRequest = Requests.indexRequest().index("user").source(data)
          requestIndexer.add(indexRequest)
        }
      })
    elasticsearchSinkBuilder.setBulkFlushMaxActions(1)
    elasticsearchSinkBuilder.setRestClientFactory(new RestClientFactory {
      override def configureRestClientBuilder(restClientBuilder: RestClientBuilder): Unit = {
        /**
        restClientBuilder.setPathPrefix()
        restClientBuilder.setDefaultHeaders()
        restClientBuilder.setRequestConfigCallback()
        restClientBuilder.setHttpClientConfigCallback()
        restClientBuilder.setFailureListener()
        **/
      }
    })
    elasticsearchSinkBuilder.setFailureHandler(new ActionRequestFailureHandler() {
      @throws(classOf[Throwable])
      override def onFailure(actionRequest: ActionRequest, throwable: Throwable, restStatusCode: Int,
                             requestIndexer: RequestIndexer): Unit = {
        if (ExceptionUtils.findThrowable(throwable, classOf[EsRejectedExecutionException]).isPresent()) {
          requestIndexer.add(actionRequest)
        } else if (ExceptionUtils.findThrowable(throwable, classOf[ElasticsearchParseException]).isPresent()) {

        } else {
          throw throwable
        }
      }
    })

    file_stream.addSink(elasticsearchSinkBuilder.build())
}

自定义Source

class CustomSource() extends SourceFunction[String] {

    var runFlag: Boolean = true

    val values: Array[String] = Array[String]("zhang", "wang", "li", "zhao", "qi", "chu", "yan", "han")

    override def run(sourceContext: SourceFunction.SourceContext[String]): Unit = {
      val random = new Random()
      while (runFlag) {
        sourceContext.collect(values(random.nextInt(values.length)))
        Thread.sleep(2000)
      }
    }

    override def cancel(): Unit = {
      runFlag = false
    }

  }

def customSource(env: StreamExecutionEnvironment):Unit = {
    val custom_stream = env.addSource(new CustomSource())
    val stream = custom_stream.flatMap(_.split(" ")).map((_, 1)).keyBy(0).sum(1)
    stream.print()
}

自定义Sink，JdbcSink

class JdbcSink() extends RichSinkFunction[String] {
    
    var connection: Connection = _
    var insertStmt: PreparedStatement = _

    override def open(parameters: Configuration): Unit = {
      super.open(parameters)
      connection = DriverManager.getConnection("jdbc:mysql://192.168.0.1:3306/test", "root", "")
      insertStmt = connection.prepareStatement("INSERT INTO T_USER(ID,NAME,PHONE) VALUES (?,?,?)")
    }

    override def invoke(value: String, context: SinkFunction.Context[_]): Unit = {
      val datas: Array[String] = value.split(",")
      insertStmt.setInt(1, datas(0).toInt)
      insertStmt.setString(2, datas(1))
      insertStmt.setString(3, datas(2))
      insertStmt.execute()
      print(insertStmt.getUpdateCount)
    }

    override def close(): Unit = {
      insertStmt.close()
      connection.close()
    }

  }

def jdbcSink(env: StreamExecutionEnvironment): Unit = {
    val collection_stream = env.fromCollection(List(("21,zhangsan1,13100000001"), ("22,zhangsan2,13100000002")))
    collection_stream.addSink(new JdbcSink())
}