Flink1.10.1_scala_File_To_ES_flink es scala-优快云博客

本文链接：https://blog.youkuaiyun.com/qq_31316733/article/details/113623167

本文介绍如何使用Apache Flink 1.10.1版本从文件系统读取数据，并通过Table API进行转换处理后，将结果写入Elasticsearch的过程。示例代码展示了具体的配置步骤和技术实现细节。

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Flink1.10.1_File_To_ES

EsOutputTest

package com.hdfsToES
import org.apache.flink.streaming.api.scala._
import org.apache.flink.table.api.DataTypes
import org.apache.flink.table.api.scala._
import org.apache.flink.table.descriptors._
object EsOutputTest {
  def main(args: Array[String]): Unit = {
    // 1. 创建环境
    val env = StreamExecutionEnvironment.getExecutionEnvironment
    env.setParallelism(1)
    val tableEnv = StreamTableEnvironment.create(env)
    // 2. 连接外部系统，读取数据，注册表
    val filePath = "D:\\code\\hdfsToESAndGetFromES\\src\\main\\resources\\sensor.txt"
    tableEnv.connect(new FileSystem().path(filePath))
      .withFormat(new Csv())
      .withSchema(new Schema()
        .field("id", DataTypes.STRING())
        .field("timestamp", DataTypes.BIGINT())
        .field("temp", DataTypes.DOUBLE())
      )
      .createTemporaryTable("inputTable")
    // 3. 转换操作
    val sensorTable = tableEnv.from("inputTable")
    // 3.1 简单转换
    val resultTable = sensorTable
      .select('id,'timestamp,'temp)
      //.filter('id === "sensor_1")
    // 3.2 聚合转换
//    val aggTable = sensorTable
//      .groupBy('id) // 基于id分组
//      .select('id, 'id.count as 'count)

    // 4. 输出到es
    tableEnv.connect(new Elasticsearch()
      .version("6")
      .host("192.168.1.162", 9200, "http")
      .index("sensor")
      .documentType("temperature")
    )
      .inUpsertMode()
      .withFormat(new Json())
      .withSchema(new Schema()
        .field("id", DataTypes.STRING())
        .field("timestamp", DataTypes.BIGINT())
        .field("temp",DataTypes.DOUBLE())
      )
      .createTemporaryTable("esOutputTable")

    resultTable.insertInto("esOutputTable")

    env.execute("es output test")
  }
}

sensor.txt

sensor_1,1547718199,35.8
sensor_6,1547718201,15.4
sensor_7,1547718202,6.7
sensor_10,1547718205,38.1
sensor_1,1547718206,32
sensor_1,1547718208,36.2
sensor_1,1547718210,29.7
sensor_1,1547718213,30.9

pom.xml

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <groupId>com.flink</groupId>
    <artifactId>hdfsToESAndGetFromES</artifactId>
    <version>1.0-SNAPSHOT</version>
    <dependencies>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-scala_2.12</artifactId>
            <version>1.10.1</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-streaming-scala -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-scala_2.12</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka-0.11_2.12</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.bahir</groupId>
            <artifactId>flink-connector-redis_2.11</artifactId>
            <version>1.0</version>
            <exclusions>
                <exclusion>
                    <groupId>org.apache.flink</groupId>
                    <artifactId>flink-streaming-java_2.11</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-elasticsearch6_2.12</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>5.1.44</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-statebackend-rocksdb_2.12</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-planner_2.12</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table-planner-blink_2.12</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-csv</artifactId>
            <version>1.10.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-json</artifactId>
            <version>1.10.1</version>
        </dependency>

    </dependencies>
    <build>
        <plugins>
            <!-- 该插件用于将 Scala 代码编译成 class 文件 -->
            <plugin>
                <groupId>net.alchim31.maven</groupId>
                <artifactId>scala-maven-plugin</artifactId>
                <version>3.4.6</version>
                <executions>
                    <execution>
                        <!-- 声明绑定到 maven 的 compile 阶段 -->
                        <goals>
                            <goal>compile</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-assembly-plugin</artifactId>
                <version>3.0.0</version>
                <configuration>
                    <descriptorRefs>
                        <descriptorRef>jar-with-dependencies</descriptorRef>
                    </descriptorRefs>
                </configuration>
                <executions>
                    <execution>
                        <id>make-assembly</id>
                        <phase>package</phase>
                        <goals>
                            <goal>single</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>
</project>