大数据-Flink版本升级到1.17Maven中的相关依赖

前言

本文环境版本

zookeeper 3.8.2
hadoop 2.10.2
hive 2.3.9
hbase 2.5.5
flink 1.17.1
scala 2.12
phoenix 5.1.3

官方文档

https://nightlies.apache.org/flink/flink-docs-release-1.17/docs/dev/table/overview/

连接Hive

https://nightlies.apache.org/flink/flink-docs-release-1.17/docs/connectors/table/hive/overview/

依赖搜索

https://central.sonatype.com/

https://developer.aliyun.com/mvn/search

阿里云Maven

https://developer.aliyun.com/mvn/guide

类搜索

https://www.classnotfound.com.cn/

版本定义

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<properties>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
<hadoop.version>2.10.2</hadoop.version>
<hive.version>2.3.9</hive.version>
<flink.version>1.17.1</flink.version>
<scala.binary.version>2.12</scala.binary.version>
<!--这个不是所有的版本都有 2.5.0是兼容2.5.6的-->
<hbase.version>2.5.0</hbase.version>
<phoenix.version>5.1.3</phoenix.version>

<!-- 文件拷贝时的编码 -->
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<!-- 编译时的编码 -->
<maven.compiler.encoding>UTF-8</maven.compiler.encoding>
</properties>

Flink相关Jar

创建项目

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mvn archetype:generate -DarchetypeGroupId=org.apache.flink -DarchetypeArtifactId=flink-quickstart-java -DarchetypeVersion=1.17.1

默认会添加以下依赖

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<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-java</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>

Table+DataStream

APIs you want to use Dependency you need to add
DataStream flink-streaming-java
DataStream with Scala flink-streaming-scala_2.12
Table API flink-table-api-java
Table API with Scala flink-table-api-scala_2.12
Table API + DataStream flink-table-api-java-bridge
Table API + DataStream with Scala flink-table-api-scala-bridge_2.12

以下依赖不再依赖Scala版本

  • flink-clients_${scala.binary.version} => flink-clients

  • flink-table-api-java-bridge_${scala.binary.version} => flink-table-api-java-bridge

以下被移除

  • flink-table-planner-blink_${scala.binary.version} 新版本已经移除,最后支持的Flink版本是1.13.6

Flink的useBlinkPlanner选项是用于启用Blink批处理和流处理的Planner。

Blink是Flink的新一代查询引擎,它提供了更高的性能和更好的稳定性。

useBlinkPlanner选项的作用是告诉Flink使用Blink Planner来解析和优化查询计划。

通过启用Blink Planner,您可以获得更好的查询性能和更高级的查询优化功能。

新版本已经没有该方法,默认使用新的Blink查询引擎。

必装的Jar

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

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-common</artifactId>
<version>${flink.version}</version>
</dependency>

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

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-json</artifactId>
<version>${flink.version}</version>
</dependency>

Hive

添加依赖

在Spark连接Hive导入相关maven依赖时

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<!-- Hive Connector的支持-->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-hive_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>

<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>${hive.version}</version>
<exclusions>
<exclusion>
<artifactId>hadoop-hdfs</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>commons-lang</artifactId>
<groupId>commons-lang</groupId>
</exclusion>
<exclusion>
<artifactId>commons-collections</artifactId>
<groupId>commons-collections</groupId>
</exclusion>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
</exclusions>
</dependency>

<!--Hive JDBC-->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>${hive.version}</version>
<exclusions>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>io.dropwizard.metrics</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>com.yammer.metrics</groupId>
</exclusion>
</exclusions>
</dependency>

出现以下错误:

org.pentaho:pentaho-aggdesigner-algorithm:pom:5.1.5-jhyde was not found in https://maven.aliyun.com/repository/public during a previous attempt. This failure was cached in the local repository and resolution is not reattempted until the update interval of alimaven has elapsed or updates are forced

是因为这个包不在阿里云公共maven镜像仓库上,需要添加一个新的镜像仓库,修改maven的settings.xml

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<!-- 添加这个镜像仓库在阿里云公共仓库前面 -->
<mirror>
<id>aliyunmaven1</id>
<mirrorOf>*</mirrorOf>
<name>spring-plugin</name>
<url>https://maven.aliyun.com/repository/spring-plugin</url>
</mirror>
<mirror>
<id>aliyunmaven2</id>
<mirrorOf>*</mirrorOf>
<name>阿里云公共仓库</name>
<url>https://maven.aliyun.com/repository/public</url>
</mirror>

之后重新导入依赖即可。
如果是idea开发,需要重启idea,刷新依赖即可。

或者项目中(推荐)

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<repositories>
<repository>
<id>alimaven1</id>
<name>aliyun maven1</name>
<url>https://maven.aliyun.com/repository/spring-plugin</url>
</repository>
<repository>
<id>alimaven2</id>
<name>aliyun maven2</name>
<url>https://maven.aliyun.com/repository/public</url>
</repository>
</repositories>

服务器上移动planner jar

Move the jar flink-table-planner_2.12-1.17.1.jar located in FLINK_HOME/opt to FLINK_HOME/lib and

move out the jar flink-table-planner-loader-1.17.1.jar from FLINK_HOME/lib.

Please refer to FLINK-25128 for more details. You can use the following commands to complete the work:

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mv $FLINK_HOME/opt/flink-table-planner_2.12-1.17.1.jar $FLINK_HOME/lib/flink-table-planner_2.12-1.17.1.jar
mv $FLINK_HOME/lib/flink-table-planner-loader-1.17.1.jar $FLINK_HOME/opt/flink-table-planner-loader-1.17.1.jar

NOTE: Such extra planner jar moving is only needed when using Hive dialect or HiveServer2 endpoint, but this is the recommended setup for Hive integration.

连接Hive测试

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beeline -n hive -u "jdbc:hive2://hdp01:10000/yxdp_ys;principal=hdfs/hdp01@HADOOP.COM"

连接Kafka

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<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<exclusions>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
</exclusions>
</dependency>

新版本

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<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka</artifactId>
<version>1.17.1</version>
</dependency>

测试

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import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;

import java.util.Properties;

public class KafkaConsumerExample {
public static void main(String[] args) throws Exception {
final String bootstrapServers = "localhost:9092";
final String groupId = "flink-kafka-consumer";
final String topicName = "test-topic";

// 创建 Flink 运行环境
final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

// 配置 Kafka 的 Consumer 属性
final Properties props = new Properties();
props.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
props.setProperty(ConsumerConfig.GROUP_ID_CONFIG, groupId);
props.setProperty(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
props.setProperty(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());

// 使用 Flink 的 Kafka Consumer 构建数据流
final FlinkKafkaConsumer<String> kafkaConsumer = new FlinkKafkaConsumer<>(topicName, new SimpleStringSchema(), props);
final DataStream<String> stream = env.addSource(kafkaConsumer);

// 打印数据流
stream.print();

// 启动 Flink 程序
env.execute();
}
}

Flink1.12版本备份

这里记录一下旧版本的依赖

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<?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.xhkjedu</groupId>
<artifactId>yxzt-data-tcs</artifactId>
<version>1.0-SNAPSHOT</version>
<packaging>jar</packaging>

<properties>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
<hadoop.version>2.7.7</hadoop.version>
<hive.version>2.1.0</hive.version>
<flink.version>1.12.7</flink.version>
<scala.binary.version>2.12</scala.binary.version>
<!--这个不是所有的版本都有 2.1.6是兼容2.1.10的-->
<hbase.version>2.1.6</hbase.version>
<phoenix.version>5.1.2</phoenix.version>

<!-- 文件拷贝时的编码 -->
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<!-- 编译时的编码 -->
<maven.compiler.encoding>UTF-8</maven.compiler.encoding>
</properties>

<repositories>
<repository>
<id>alimaven</id>
<name>aliyun maven</name>
<url>https://maven.aliyun.com/repository/public</url>
</repository>
</repositories>


<dependencies>
<dependency>
<groupId>jdk.tools</groupId>
<artifactId>jdk.tools</artifactId>
<version>1.8</version>
<scope>system</scope>
<systemPath>${env.JAVA_HOME}/lib/tools.jar</systemPath>
</dependency>

<!-- flink核心API -->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
<version>${flink.version}</version>
</dependency>

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<exclusions>
<exclusion>
<artifactId>flink-shaded-guava</artifactId>
<groupId>org.apache.flink</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
</exclusions>
</dependency>

<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-table-common</artifactId>
<version>${flink.version}</version>
</dependency>

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

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-api-java-bridge_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>

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

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner-blink_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
<exclusions>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
</exclusions>
</dependency>

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-json</artifactId>
<version>${flink.version}</version>
</dependency>

<!-- Hive Connector的支持-->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-hive_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<exclusions>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
</exclusions>
</dependency>

<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>${hive.version}</version>
<exclusions>
<exclusion>
<groupId>org.apache.calcite</groupId>
<artifactId>calcite-core</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.calcite</groupId>
<artifactId>calcite-avatica</artifactId>
</exclusion>
<exclusion>
<artifactId>hadoop-hdfs</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>commons-lang</artifactId>
<groupId>commons-lang</groupId>
</exclusion>
<exclusion>
<artifactId>commons-collections</artifactId>
<groupId>commons-collections</groupId>
</exclusion>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>

</exclusions>
</dependency>

<!--读取hadoop文件-->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>${hadoop.version}</version>
<exclusions>
<exclusion>
<artifactId>commons-lang</artifactId>
<groupId>commons-lang</groupId>
</exclusion>
<exclusion>
<artifactId>commons-collections</artifactId>
<groupId>commons-collections</groupId>
</exclusion>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>

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


<!--操作Hbase-->
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>2.1.10</version>
<exclusions>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>io.dropwizard.metrics</groupId>
</exclusion>
</exclusions>
</dependency>


<!--JSON工具-->
<dependency>
<groupId>com.alibaba.fastjson2</groupId>
<artifactId>fastjson2</artifactId>
<version>2.0.22</version>
</dependency>

<!--Hive JDBC-->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>${hive.version}</version>
<exclusions>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>io.dropwizard.metrics</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>com.yammer.metrics</groupId>
</exclusion>
</exclusions>
</dependency>

<dependency>
<groupId>com.codahale.metrics</groupId>
<artifactId>metrics-core</artifactId>
<version>3.0.2</version>
</dependency>

<!--连接PostgreSQL-->
<dependency>
<groupId>org.postgresql</groupId>
<artifactId>postgresql</artifactId>
<version>42.2.2</version>
</dependency>

<!--Phoenix-->
<dependency>
<groupId>org.apache.phoenix</groupId>
<artifactId>phoenix-core</artifactId>
<version>${phoenix.version}</version>
<exclusions>
<exclusion>
<artifactId>hadoop-auth</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>hadoop-common</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>hadoop-yarn-api</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-shaded-protobuf</artifactId>
<groupId>org.apache.hbase.thirdparty</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-shaded-miscellaneous</artifactId>
<groupId>org.apache.hbase.thirdparty</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-protocol</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-protocol-shaded</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hadoop-mapreduce-client-core</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-client</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-common</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-hadoop-compat</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-hadoop2-compat</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>antlr-runtime</artifactId>
<groupId>org.antlr</groupId>
</exclusion>
<exclusion>
<artifactId>commons-codec</artifactId>
<groupId>commons-codec</groupId>
</exclusion>
<exclusion>
<artifactId>commons-io</artifactId>
<groupId>commons-io</groupId>
</exclusion>
<exclusion>
<artifactId>commons-lang3</artifactId>
<groupId>org.apache.commons</groupId>
</exclusion>
<exclusion>
<artifactId>jackson-databind</artifactId>
<groupId>com.fasterxml.jackson.core</groupId>
</exclusion>
<exclusion>
<artifactId>jcodings</artifactId>
<groupId>org.jruby.jcodings</groupId>
</exclusion>
<exclusion>
<artifactId>joni</artifactId>
<groupId>org.jruby.joni</groupId>
</exclusion>
<exclusion>
<artifactId>jsr305</artifactId>
<groupId>com.google.code.findbugs</groupId>
</exclusion>
<exclusion>
<artifactId>libthrift</artifactId>
<groupId>org.apache.thrift</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>zookeeper</artifactId>
<groupId>org.apache.zookeeper</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>io.dropwizard.metrics</groupId>
</exclusion>
</exclusions>
</dependency>

<dependency>
<groupId>org.apache.phoenix</groupId>
<artifactId>phoenix-hbase-compat-${hbase.version}</artifactId>
<version>${phoenix.version}</version>
</dependency>

<dependency>
<groupId>org.apache.phoenix</groupId>
<artifactId>phoenix-core</artifactId>
<version>${phoenix.version}</version>
</dependency>


<dependency>
<groupId>com.google.protobuf</groupId>
<artifactId>protobuf-java</artifactId>
<version>2.5.0</version>
<scope>provided</scope>
</dependency>
<!--连接Oracle-->
<dependency>
<groupId>com.oracle</groupId>
<artifactId>ojdbc6</artifactId>
<version>11.2.0.3</version>
</dependency>
<!--连接SQL Server-->
<dependency>
<groupId>com.microsoft.sqlserver</groupId>
<artifactId>sqljdbc4</artifactId>
<version>4.0</version>
</dependency>
<!--操作Mysql-->
<dependency>
<groupId>cn.psvmc</groupId>
<artifactId>mysql8</artifactId>
<version>1.1</version>
</dependency>

<!--mongodb-->
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>bson</artifactId>
<version>3.12.11</version>
</dependency>
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>mongodb-driver</artifactId>
<version>3.12.11</version>
</dependency>
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>mongodb-driver-core</artifactId>
<version>3.12.11</version>
</dependency>


<!--工具-->
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-all</artifactId>
<version>5.5.9</version>
</dependency>
<dependency>
<groupId>com.yxkj</groupId>
<artifactId>yxdp-algorithm</artifactId>
<version>1.0.0</version>
</dependency>

<dependency>
<groupId>com.rabbitmq</groupId>
<artifactId>amqp-client</artifactId>
<version>4.1.0</version>
</dependency>
</dependencies>


<build>
<plugins>
<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>3.4.6</version>

<executions>
<execution>
<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>
<encoding>UTF-8</encoding>
<archive>
<manifest>
<mainClass>com.xhkjedu.TCS</mainClass>
</manifest>
</archive>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
<!-- 增加配置 -->
<configuration>
<!-- assembly.xml文件路径 -->
<descriptors>
<descriptor>src/assembly/assembly.xml</descriptor>
</descriptors>
</configuration>
</execution>
</executions>
</plugin>

</plugins>
</build>
</project>

Flink1.17版本配置

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<?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.xhkjedu</groupId>
<artifactId>yxzt-data-tcs</artifactId>
<version>1.0-SNAPSHOT</version>
<packaging>jar</packaging>

<properties>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
<hadoop.version>2.10.2</hadoop.version>
<hive.version>2.3.9</hive.version>
<flink.version>1.17.1</flink.version>
<scala.binary.version>2.12</scala.binary.version>
<!--这个不是所有的版本都有 2.5.0是兼容2.5.6的-->
<hbase.version>2.5.0</hbase.version>
<phoenix.version>5.1.3</phoenix.version>

<!-- 文件拷贝时的编码 -->
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<!-- 编译时的编码 -->
<maven.compiler.encoding>UTF-8</maven.compiler.encoding>
</properties>

<repositories>
<repository>
<id>alimaven1</id>
<name>aliyun maven1</name>
<url>https://maven.aliyun.com/repository/spring-plugin</url>
</repository>
<repository>
<id>alimaven2</id>
<name>aliyun maven2</name>
<url>https://maven.aliyun.com/repository/public</url>
</repository>
</repositories>


<dependencies>
<dependency>
<groupId>jdk.tools</groupId>
<artifactId>jdk.tools</artifactId>
<version>1.8</version>
<scope>system</scope>
<systemPath>${env.JAVA_HOME}/lib/tools.jar</systemPath>
</dependency>

<!-- flink核心API -->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-java</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients</artifactId>
<version>${flink.version}</version>
<exclusions>
<exclusion>
<artifactId>flink-shaded-guava</artifactId>
<groupId>org.apache.flink</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
</exclusions>
</dependency>

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-common</artifactId>
<version>${flink.version}</version>
</dependency>

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

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-api-java-bridge</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-api-scala-bridge_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-json</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>

<!-- Hive Connector的支持-->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-hive_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>

<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>${hive.version}</version>
<exclusions>
<exclusion>
<artifactId>hadoop-hdfs</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>commons-lang</artifactId>
<groupId>commons-lang</groupId>
</exclusion>
<exclusion>
<artifactId>commons-collections</artifactId>
<groupId>commons-collections</groupId>
</exclusion>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>antlr-runtime</artifactId>
<groupId>org.antlr</groupId>
</exclusion>

</exclusions>
</dependency>

<!--Hive JDBC-->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>${hive.version}</version>
<exclusions>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>io.dropwizard.metrics</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>com.yammer.metrics</groupId>
</exclusion>
</exclusions>
</dependency>

<!--读取hadoop文件-->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>${hadoop.version}</version>
<exclusions>
<exclusion>
<artifactId>commons-lang</artifactId>
<groupId>commons-lang</groupId>
</exclusion>
<exclusion>
<artifactId>commons-collections</artifactId>
<groupId>commons-collections</groupId>
</exclusion>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>

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


<!--操作Hbase-->
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>${hbase.version}</version>
<exclusions>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>io.dropwizard.metrics</groupId>
</exclusion>
</exclusions>
</dependency>


<!--JSON工具-->
<dependency>
<groupId>com.alibaba.fastjson2</groupId>
<artifactId>fastjson2</artifactId>
<version>2.0.22</version>
</dependency>

<!-- Flink Dependency -->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-hive_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>

<dependency>
<groupId>com.codahale.metrics</groupId>
<artifactId>metrics-core</artifactId>
<version>3.0.2</version>
</dependency>

<!--连接PostgreSQL-->
<dependency>
<groupId>org.postgresql</groupId>
<artifactId>postgresql</artifactId>
<version>42.2.2</version>
</dependency>

<!--Phoenix-->
<dependency>
<groupId>org.apache.phoenix</groupId>
<artifactId>phoenix-core</artifactId>
<version>${phoenix.version}</version>
<exclusions>
<exclusion>
<artifactId>hadoop-auth</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>hadoop-yarn-api</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-shaded-protobuf</artifactId>
<groupId>org.apache.hbase.thirdparty</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-shaded-miscellaneous</artifactId>
<groupId>org.apache.hbase.thirdparty</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-protocol</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-protocol-shaded</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hadoop-mapreduce-client-core</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-client</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-common</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-hadoop-compat</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-hadoop2-compat</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>antlr-runtime</artifactId>
<groupId>org.antlr</groupId>
</exclusion>
<exclusion>
<artifactId>commons-codec</artifactId>
<groupId>commons-codec</groupId>
</exclusion>
<exclusion>
<artifactId>commons-io</artifactId>
<groupId>commons-io</groupId>
</exclusion>
<exclusion>
<artifactId>commons-lang3</artifactId>
<groupId>org.apache.commons</groupId>
</exclusion>
<exclusion>
<artifactId>jackson-databind</artifactId>
<groupId>com.fasterxml.jackson.core</groupId>
</exclusion>
<exclusion>
<artifactId>jcodings</artifactId>
<groupId>org.jruby.jcodings</groupId>
</exclusion>
<exclusion>
<artifactId>joni</artifactId>
<groupId>org.jruby.joni</groupId>
</exclusion>
<exclusion>
<artifactId>jsr305</artifactId>
<groupId>com.google.code.findbugs</groupId>
</exclusion>
<exclusion>
<artifactId>libthrift</artifactId>
<groupId>org.apache.thrift</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>zookeeper</artifactId>
<groupId>org.apache.zookeeper</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>io.dropwizard.metrics</groupId>
</exclusion>
</exclusions>
</dependency>

<dependency>
<groupId>org.apache.phoenix</groupId>
<artifactId>phoenix-hbase-compat-${hbase.version}</artifactId>
<version>${phoenix.version}</version>
</dependency>

<dependency>
<groupId>com.google.protobuf</groupId>
<artifactId>protobuf-java</artifactId>
<version>2.5.0</version>
<scope>provided</scope>
</dependency>
<!--连接Oracle-->
<dependency>
<groupId>com.oracle</groupId>
<artifactId>ojdbc6</artifactId>
<version>11.2.0.3</version>
</dependency>
<!--连接SQL Server-->
<dependency>
<groupId>com.microsoft.sqlserver</groupId>
<artifactId>sqljdbc4</artifactId>
<version>4.0</version>
</dependency>
<!--操作Mysql-->
<dependency>
<groupId>cn.psvmc</groupId>
<artifactId>mysql8</artifactId>
<version>1.1</version>
</dependency>

<!--mongodb-->
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>bson</artifactId>
<version>3.12.11</version>
</dependency>
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>mongodb-driver</artifactId>
<version>3.12.11</version>
</dependency>
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>mongodb-driver-core</artifactId>
<version>3.12.11</version>
</dependency>


<!--工具-->
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-all</artifactId>
<version>5.5.9</version>
</dependency>
<!--处理方法-->
<dependency>
<groupId>com.yxkj</groupId>
<artifactId>yxdp-algorithm</artifactId>
<version>1.0.0</version>
</dependency>

<dependency>
<groupId>com.rabbitmq</groupId>
<artifactId>amqp-client</artifactId>
<version>4.1.0</version>
</dependency>


</dependencies>

<build>
<plugins>
<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>3.4.6</version>
<executions>
<execution>
<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>
<encoding>UTF-8</encoding>
<archive>
<manifest>
<mainClass>com.xhkjedu.TCS</mainClass>
</manifest>
</archive>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
<!-- 增加配置 -->
<configuration>
<!-- assembly.xml文件路径 -->
<descriptors>
<descriptor>src/assembly/assembly.xml</descriptor>
</descriptors>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>

Flink1.13.6版本配置

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<?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.xhkjedu</groupId>
<artifactId>yxzt-data-tcs</artifactId>
<version>1.0-SNAPSHOT</version>
<packaging>jar</packaging>

<properties>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
<hadoop.version>2.10.2</hadoop.version>
<hive.version>2.3.6</hive.version>
<flink.version>1.13.6</flink.version>
<scala.binary.version>2.12</scala.binary.version>
<!--这个不是所有的版本都有 2.5.0是兼容2.5.6的-->
<hbase.version>2.5.0</hbase.version>
<phoenix.version>5.1.3</phoenix.version>

<!-- 文件拷贝时的编码 -->
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<!-- 编译时的编码 -->
<maven.compiler.encoding>UTF-8</maven.compiler.encoding>
</properties>

<repositories>
<repository>
<id>alimaven1</id>
<name>aliyun maven1</name>
<url>https://maven.aliyun.com/repository/spring-plugin</url>
</repository>
<repository>
<id>alimaven2</id>
<name>aliyun maven2</name>
<url>https://maven.aliyun.com/repository/public</url>
</repository>
</repositories>


<dependencies>
<dependency>
<groupId>jdk.tools</groupId>
<artifactId>jdk.tools</artifactId>
<version>1.8</version>
<scope>system</scope>
<systemPath>${env.JAVA_HOME}/lib/tools.jar</systemPath>
</dependency>

<!-- flink核心API -->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
<version>${flink.version}</version>
</dependency>

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
<exclusions>
<exclusion>
<artifactId>flink-shaded-guava</artifactId>
<groupId>org.apache.flink</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
</exclusions>
</dependency>

<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-table-common</artifactId>
<version>${flink.version}</version>
</dependency>

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

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-api-java-bridge_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>

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

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner-blink_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
<exclusions>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
</exclusions>
</dependency>

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-json</artifactId>
<version>${flink.version}</version>
<scope>provided</scope>
</dependency>


<!--读取hadoop文件-->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>${hadoop.version}</version>
<exclusions>
<exclusion>
<artifactId>guava</artifactId>
<groupId>com.google.guava</groupId>
</exclusion>
</exclusions>
</dependency>

<!-- Hive Connector的支持-->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-hive_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>

<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<exclusions>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
</exclusions>
</dependency>

<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>${hive.version}</version>
<exclusions>
<exclusion>
<groupId>org.apache.calcite</groupId>
<artifactId>calcite-core</artifactId>
</exclusion>
<exclusion>
<groupId>org.apache.calcite</groupId>
<artifactId>calcite-avatica</artifactId>
</exclusion>
<exclusion>
<artifactId>hadoop-hdfs</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>commons-lang</artifactId>
<groupId>commons-lang</groupId>
</exclusion>
<exclusion>
<artifactId>commons-collections</artifactId>
<groupId>commons-collections</groupId>
</exclusion>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>guava</artifactId>
<groupId>com.google.guava</groupId>
</exclusion>
</exclusions>
</dependency>

<!--读取hadoop文件-->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>${hadoop.version}</version>
<exclusions>
<exclusion>
<artifactId>commons-lang</artifactId>
<groupId>commons-lang</groupId>
</exclusion>
<exclusion>
<artifactId>commons-collections</artifactId>
<groupId>commons-collections</groupId>
</exclusion>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>guava</artifactId>
<groupId>com.google.guava</groupId>
</exclusion>

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


<!--操作Hbase-->
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>2.1.10</version>
<exclusions>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>io.dropwizard.metrics</groupId>
</exclusion>
<exclusion>
<artifactId>hadoop-auth</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
</exclusions>
</dependency>


<!--JSON工具-->
<dependency>
<groupId>com.alibaba.fastjson2</groupId>
<artifactId>fastjson2</artifactId>
<version>2.0.22</version>
</dependency>

<!--Hive JDBC-->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>${hive.version}</version>
<exclusions>
<exclusion>
<artifactId>protobuf-java</artifactId>
<groupId>com.google.protobuf</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>io.dropwizard.metrics</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>com.yammer.metrics</groupId>
</exclusion>
<exclusion>
<artifactId>guava</artifactId>
<groupId>com.google.guava</groupId>
</exclusion>
</exclusions>
</dependency>

<dependency>
<groupId>com.codahale.metrics</groupId>
<artifactId>metrics-core</artifactId>
<version>3.0.2</version>
</dependency>

<!--连接PostgreSQL-->
<dependency>
<groupId>org.postgresql</groupId>
<artifactId>postgresql</artifactId>
<version>42.2.2</version>
</dependency>

<!--Phoenix-->
<dependency>
<groupId>org.apache.phoenix</groupId>
<artifactId>phoenix-core</artifactId>
<version>${phoenix.version}</version>
<exclusions>
<exclusion>
<artifactId>hadoop-auth</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>hadoop-common</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>hadoop-yarn-api</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-shaded-protobuf</artifactId>
<groupId>org.apache.hbase.thirdparty</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-shaded-miscellaneous</artifactId>
<groupId>org.apache.hbase.thirdparty</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-protocol</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-protocol-shaded</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hadoop-mapreduce-client-core</artifactId>
<groupId>org.apache.hadoop</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-client</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-common</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-hadoop-compat</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>hbase-hadoop2-compat</artifactId>
<groupId>org.apache.hbase</groupId>
</exclusion>
<exclusion>
<artifactId>antlr-runtime</artifactId>
<groupId>org.antlr</groupId>
</exclusion>
<exclusion>
<artifactId>commons-codec</artifactId>
<groupId>commons-codec</groupId>
</exclusion>
<exclusion>
<artifactId>commons-io</artifactId>
<groupId>commons-io</groupId>
</exclusion>
<exclusion>
<artifactId>commons-lang3</artifactId>
<groupId>org.apache.commons</groupId>
</exclusion>
<exclusion>
<artifactId>jackson-databind</artifactId>
<groupId>com.fasterxml.jackson.core</groupId>
</exclusion>
<exclusion>
<artifactId>jcodings</artifactId>
<groupId>org.jruby.jcodings</groupId>
</exclusion>
<exclusion>
<artifactId>joni</artifactId>
<groupId>org.jruby.joni</groupId>
</exclusion>
<exclusion>
<artifactId>jsr305</artifactId>
<groupId>com.google.code.findbugs</groupId>
</exclusion>
<exclusion>
<artifactId>libthrift</artifactId>
<groupId>org.apache.thrift</groupId>
</exclusion>
<exclusion>
<artifactId>slf4j-api</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
<exclusion>
<artifactId>zookeeper</artifactId>
<groupId>org.apache.zookeeper</groupId>
</exclusion>
<exclusion>
<artifactId>metrics-core</artifactId>
<groupId>io.dropwizard.metrics</groupId>
</exclusion>
<exclusion>
<artifactId>guava</artifactId>
<groupId>com.google.guava</groupId>
</exclusion>
</exclusions>
</dependency>

<dependency>
<groupId>org.apache.phoenix</groupId>
<artifactId>phoenix-hbase-compat-${hbase.version}</artifactId>
<version>${phoenix.version}</version>
</dependency>

<dependency>
<groupId>org.apache.phoenix</groupId>
<artifactId>phoenix-core</artifactId>
<version>${phoenix.version}</version>
<exclusions>
<exclusion>
<artifactId>guava</artifactId>
<groupId>com.google.guava</groupId>
</exclusion>
</exclusions>
</dependency>


<dependency>
<groupId>com.google.protobuf</groupId>
<artifactId>protobuf-java</artifactId>
<version>2.5.0</version>
<scope>provided</scope>
</dependency>
<!--连接Oracle-->
<dependency>
<groupId>com.oracle</groupId>
<artifactId>ojdbc6</artifactId>
<version>11.2.0.3</version>
</dependency>
<!--连接SQL Server-->
<dependency>
<groupId>com.microsoft.sqlserver</groupId>
<artifactId>sqljdbc4</artifactId>
<version>4.0</version>
</dependency>
<!--操作Mysql-->
<dependency>
<groupId>cn.psvmc</groupId>
<artifactId>mysql8</artifactId>
<version>1.1</version>
</dependency>

<!--mongodb-->
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>bson</artifactId>
<version>3.12.11</version>
</dependency>

<dependency>
<groupId>org.mongodb</groupId>
<artifactId>mongodb-driver</artifactId>
<version>3.12.11</version>
</dependency>
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>mongodb-driver-core</artifactId>
<version>3.12.11</version>
</dependency>

<!--工具-->
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-all</artifactId>
<version>5.5.9</version>
</dependency>
<dependency>
<groupId>com.yxkj</groupId>
<artifactId>yxdp-algorithm</artifactId>
<version>1.0.0</version>
</dependency>

<dependency>
<groupId>com.rabbitmq</groupId>
<artifactId>amqp-client</artifactId>
<version>4.1.0</version>
</dependency>
</dependencies>


<build>
<plugins>
<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>3.4.6</version>

<executions>
<execution>
<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>
<encoding>UTF-8</encoding>
<archive>
<manifest>
<mainClass>com.xhkjedu.TCS</mainClass>
</manifest>
</archive>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
<!-- 增加配置 -->
<configuration>
<!-- assembly.xml文件路径 -->
<descriptors>
<descriptor>src/assembly/assembly.xml</descriptor>
</descriptors>
</configuration>
</execution>
</executions>
</plugin>

</plugins>
</build>
</project>

报错

Could not resolve substitution to a value: ${akka.stream.materializer}

解决方法

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<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>2.3</version>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<transformers>
<transformer implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
<resource>reference.conf</resource>
</transformer>
</transformers>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>

测试

yarn-application模式

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flink run-application -t yarn-application \
-yD security.kerberos.login.keytab=/data/kerberos/kerberos.keytab \
-yD security.kerberos.login.principal=hdfs/hdp01@HADOOP.COM \
/root/yxzt-data-tcs-1.0-SNAPSHOT-jar-with-dependencies.jar -job /root/zjhome/test.json

Local模式

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flink run \
-yD security.kerberos.login.keytab=/data/kerberos/kerberos.keytab \
-yD security.kerberos.login.principal=hdfs/hdp01@HADOOP.COM \
/root/yxzt-data-tcs-1.0-SNAPSHOT-jar-with-dependencies.jar -job /root/zjhome/test.json

服务信息查看

查看服务名

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#基本
jps
#带包名
jps -l
#带启动命令
jps -v

获取服务的启动用户

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ps -fp 14399

获取PID和服务名

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jps | awk -F ' ' '{print $1, $2}' | while read pid name; do
# 使用分割后的变量进行后续操作
echo "pid: $pid" && ps -fp
echo "name: $name"
done

获取服务名及启动用户

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jps | awk -F ' ' '{print $1, $2}' | while read pid name; do
echo '==================================================================='
echo "$name" && ps -fp $pid
done