idea中引入hive-exec后flink1.3.0创建表环境总是报错
Exception in thread "main" java.lang.NoSuchMethodError: org.apache.calcite.sql.parser.SqlParser.config()Lorg/apache/calcite/sql/parser/SqlParser$Config;
代码如下：
import org.apache.flink.streaming.api.scala._
import org.apache.flink.table.api.bridge.scala.StreamTableEnvironment
object TableExample {
case class Event(user: String, url: String, timestamp: Long)
def main(args: Array[String]): Unit = {
// 获取流执行环境
val env = StreamExecutionEnvironment.getExecutionEnvironment
env.setParallelism(1)
// 读取数据源
val eventStream = env
.fromElements(
Event("Alice", "./home", 1000L),
Event("Bob", "./cart", 1000L),
Event("Alice", "./prod?id=1", 5 * 1000L),
Event("Cary", "./home", 60 * 1000L),
Event("Bob", "./prod?id=3", 90 * 1000L),
Event("Alice", "./prod?id=7", 105 * 1000L)
)
eventStream.print()
// 获取表环境
val tableEnv = StreamTableEnvironment.create(env)
// 将数据流转换成表
val eventTable = tableEnv.fromDataStream(eventStream)
// 用执行 SQL 的方式提取数据
val visitTable = tableEnv.sqlQuery(s"select url, user from ${eventTable} where user = 'Bob'")
// 将表转换成数据流， 打印输出
tableEnv.toDataStream(visitTable).print()
// 执行程序
env.execute()
}
}
pom如下：
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>org.example</groupId>
<artifactId>MyFlinkTest</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<flink.version>1.13.0</flink.version>
<target.java.version>1.8</target.java.version>
<scala.binary.version>2.11</scala.binary.version>
<hive.version>3.1.2</hive.version>
</properties>
<dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>3.8.1</version>
<scope>test</scope>
</dependency>
<!-- 引入 Flink 相关依赖-->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-cep-scala_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<!-- Flink 的 Hive 连接器-->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-hive_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<!-- Hive 依赖 -->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>${hive.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-csv</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-api-scala-bridge_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner-blink_${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-statebackend-rocksdb_2.11</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-scala_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.bahir</groupId>
<artifactId>flink-connector-redis_2.11</artifactId>
<version>1.0</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-elasticsearch6_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-jdbc_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.47</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>
<goal>testCompile</goal>
</goals>
<configuration>
<addScalacArgs>-target:jvm-1.8</addScalacArgs>
</configuration>
</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>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>1.8</source>
<target>1.8</target>
</configuration>
</plugin>
</plugins>
</build>
</project>
经过排查，是hive-exec的问题，引入就会报错，但是后边还要研究flink on hiv的
有哪位同学遇见过这问题啊，请赐教
------------更新，自问自答了属于是-------------
问题一：pom中引入的包不够导致的，使用以下pom就行了
问题二：hive-exe-3.1.2guava包版本低，得要重编译，用27-jre的
<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.atguigu</groupId>
<artifactId>FlinkTutorial</artifactId>
<version>1.0-SNAPSHOT</version>
<packaging>jar</packaging>
<name>FlinkTutorial</name>
<url>http://maven.apache.org</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<flink.version>1.13.0</flink.version>
<target.java.version>1.8</target.java.version>
<scala.binary.version>2.11</scala.binary.version>
<hive.version>3.1.2</hive.version>
<hadoop.version>3.1.3</hadoop.version>
<!-- <scope.change>provided</scope.change>-->
<scope.change>compile</scope.change>
</properties>
<dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>3.8.1</version>
<scope>test</scope>
</dependency>
<!-- Flink 的 Hive 连接器-->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-api-scala-bridge_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-planner-blink_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-table-common</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>${hive.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>${hive.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-metastore</artifactId>
<version>${hive.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-hive_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<!-- hadoop依赖-->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-hadoop-compatibility_2.11</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>${hadoop.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>${hadoop.version}</version>
<scope>${scope.change}</scope>
</dependency>
<!-- 引入 Flink q驱动器相关依赖-->
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-cep-scala_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-csv</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-statebackend-rocksdb_2.11</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-scala_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.bahir</groupId>
<artifactId>flink-connector-redis_2.11</artifactId>
<version>1.0</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-elasticsearch6_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-jdbc_${scala.binary.version}</artifactId>
<version>${flink.version}</version>
<scope>${scope.change}</scope>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.47</version>
<scope>${scope.change}</scope>
</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>
<goal>testCompile</goal>
</goals>
<configuration>
<addScalacArgs>-target:jvm-1.8</addScalacArgs>
</configuration>
</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>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>1.8</source>
<target>1.8</target>
</configuration>
</plugin>
</plugins>
</build>
</project>
“Devil组”引证GPT后的撰写：
根据提供的代码和异常信息，看起来可能是版本不兼容引起的问题。异常信息中指出了缺少 config() 方法，它是 Calcite 库中的一个方法。这表明 Flink 和 Hive 引入的 Calcite 库版本不兼容。
尝试升级 Flink 版本，或者尝试使用更兼容的 Calcite 版本。同时，检查依赖项是否正确，确保没有冲突的版本。建议在项目中使用 Maven 或 Gradle 等构建工具来管理依赖项。