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我正在尝试使用 Flink 1.5.0 创建一个面向批处理的 Flink 作业，并希望使用 Table 和 SQL API 来处理数据。我的问题是尝试创建 BatchTableEnviroment 我收到编译错误

BatchJob.java:[46,73] 无法访问 org.apache.flink.streaming.api.environment.StreamExecutionEnvironment

造成于

final BatchTableEnvironment bTableEnv = TableEnvironment.getTableEnvironment(bEnv);

据我所知，我不依赖流媒体环境。我的代码如下所示。

import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.TableEnvironment;
import org.apache.flink.table.api.java.BatchTableEnvironment;
import org.apache.flink.table.sources.CsvTableSource;
import org.apache.flink.table.sources.TableSource;

import java.util.Date;


public class BatchJob {

    public static void main(String[] args) throws Exception {
        final ExecutionEnvironment bEnv = ExecutionEnvironment.getExecutionEnvironment();
        // create a TableEnvironment for batch queries
        final BatchTableEnvironment bTableEnv = TableEnvironment.getTableEnvironment(bEnv);
    ... do stuff
    // execute program
        bEnv.execute("MY Batch Jon");
    }

我的 pom 依赖项如下

<dependencies>
        <!-- Apache Flink dependencies -->
        <!-- These dependencies are provided, because they should not be packaged into the JAR file. -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-java</artifactId>
            <version>${flink.version}</version>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-table_2.11</artifactId>
            <version>${flink.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-scala_2.11</artifactId>
            <version>${flink.version}</version>
        </dependency>




        <!-- Add connector dependencies here. They must be in the default scope (compile). -->


        <!-- Example:

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka-0.10_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
        </dependency>
        -->

        <!-- Add logging framework, to produce console output when running in the IDE. -->
        <!-- These dependencies are excluded from the application JAR by default. -->
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-log4j12</artifactId>
            <version>1.7.7</version>
            <scope>runtime</scope>
        </dependency>
        <dependency>
            <groupId>log4j</groupId>
            <artifactId>log4j</artifactId>
            <version>1.2.17</version>
            <scope>runtime</scope>
        </dependency>

    </dependencies>

请有人可以帮助我了解 Streaming API 的依赖关系是什么以及为什么我需要它来进行批处理作业？非常感谢您的帮助。奥利弗

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1 回答 1

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Flink 的 Table API 和 SQL 支持是用于批处理和流处理的统一 API。许多内部类在批处理和流执行以及 Scala / Java Table API 和 SQL 之间共享，因此链接到 Flink 的批处理和流依赖项。

由于这些公共类，批量查询也需要flink-streaming依赖项。

于 2018-06-19T13:23:13.197 回答