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如何在Apache Flink中使用Scala XML?

[英]How to use Scala XML with Apache Flink?

我试图在Flink中使用Scala XML库来解析XML,但我无法使其工作。 请注意,我需要在相同的处理函数中对我的代码使用序列化和非序列化(字符串)版本。

我尝试过不同的解决方案,它们总是在IntelliJ中工作,但是当我在Flink集群上运行时却没有。 它们总是返回不同的java.lang.LinkageError: com/sun/org/apache/xerces/internal/jaxp/SAXParserImpl$JAXPSAXParser ; 我尝试了很多东西,但我仍然得到类似于这个的错误。

这是我的Flink Job的样子:

object StreamingJob {
  import org.apache.flink.streaming.api.scala._

  val l = List(
    """<ciao>ciao</ciao>""",
  )

  def main(args: Array[String]): Unit = {
    val env = StreamExecutionEnvironment.getExecutionEnvironment
    // set up kafka section excluded
    env.setParallelism(10)

    val stream = env.fromCollection(l)

    stream
      .uid("process")
      .map(new Processor)
      .print

    env.execute("Flink-TEST")
  }
}

这是我的处理功能的一个例子:

import javax.xml.parsers.{SAXParser, SAXParserFactory}
import org.apache.flink.api.common.functions.MapFunction
import scala.xml.{Elem, XML}
import scala.xml.factory.XMLLoader

class Processor extends MapFunction[String, String] {
  override def map(translatedMessage: String): String = {
    val xml = Processor.xmlLoader.loadString(translatedMessage)
    xml.toString
  }
}
object Processor {
  val factory: SAXParserFactory = SAXParserFactory.newInstance
  val SAXParser: SAXParser = factory.newSAXParser
  val xmlLoader: XMLLoader[Elem] = XML.withSAXParser(SAXParser)
}

最后这是我的pom.xml,使用maven-shade插件制作我传递给flink的jar:

        <!-- other sections of the pom are excluded -->
        <properties>
            <flink.version>1.7.0</flink.version>
            <scala.binary.version>2.12</scala.binary.version>
            <scala.version>2.12.8</scala.version>
        </properties>
        <!-- other sections of the pom are excluded -->
    <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-scala_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-scala_${scala.binary.version}</artifactId>
            <version>${flink.version}</version>
            <scope>provided</scope>
        </dependency>
        <!-- Scala Library, provided by Flink as well. -->
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>${scala.version}</version>
            <scope>provided</scope>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.dataformat</groupId>
            <artifactId>jackson-dataformat-xml</artifactId>
            <version>2.9.4</version>
        </dependency>
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka_2.12</artifactId>
            <version>1.7.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-core</artifactId>
            <version>2.11.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-slf4j-impl</artifactId>
            <version>2.11.1</version>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.core</groupId>
            <artifactId>jackson-databind</artifactId>
            <version>2.4.0</version>
        </dependency>
        <dependency>
            <groupId>com.fasterxml.jackson.dataformat</groupId>
            <artifactId>jackson-dataformat-yaml</artifactId>
            <version>2.4.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-api-scala_2.12</artifactId>
            <version>11.0</version>
        </dependency>
        <dependency>
            <groupId>log4j</groupId>
            <artifactId>log4j</artifactId>
            <version>1.2.17</version>
        </dependency>
        <dependency>
            <groupId>org.scala-lang.modules</groupId>
            <artifactId>scala-xml_2.12</artifactId>
            <version>1.1.1</version>
        </dependency>
    </dependencies>
        <!-- other sections of the pom are excluded -->
<build>
        <plugins>
            <!-- We use the maven-shade plugin to create a fat jar that contains all necessary dependencies. -->
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>3.0.0</version>
                <executions>
                    <!-- Run shade goal on package phase -->
                    <execution>
                        <phase>package</phase>
                        <goals>
                            <goal>shade</goal>
                        </goals>
                        <configuration>
                            <artifactSet>
                                <excludes>
                                    <exclude>org.apache.flink:force-shading</exclude>
                                    <exclude>com.google.code.findbugs:jsr305</exclude>
                                    <exclude>org.slf4j:*</exclude>
                                    <exclude>log4j:*</exclude>
                                </excludes>
                            </artifactSet>
                            <filters>
                                <filter>
                                    <!-- Do not copy the signatures in the META-INF folder.
                                    Otherwise, this might cause SecurityExceptions when using the JAR. -->
                                    <artifact>*:*</artifact>
                                    <excludes>
                                        <exclude>META-INF/*.SF</exclude>
                                        <exclude>META-INF/*.DSA</exclude>
                                        <exclude>META-INF/*.RSA</exclude>
                                    </excludes>
                                </filter>
                            </filters>
                            <transformers>
                                <transformer
                                        implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
                                    <mainClass>com.mycompany.myproj.artifactId.default.StreamingJob</mainClass>
                                </transformer>
                                <transformer
                                        implementation="org.apache.maven.plugins.shade.resource.AppendingTransformer">
                                    <resource>reference.conf</resource>
                                </transformer>
                            </transformers>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
            <!-- Java Compiler -->
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.1</version>
                <configuration>
                    <source>1.8</source>
                    <target>1.8</target>
                </configuration>
            </plugin>

            <!-- Scala Compiler -->
            <plugin>
                <groupId>net.alchim31.maven</groupId>
                <artifactId>scala-maven-plugin</artifactId>
                <version>3.2.2</version>
                <executions>
                    <execution>
                        <goals>
                            <goal>compile</goal>
                            <goal>testCompile</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>

            <plugin>
                <groupId>org.codehaus.mojo</groupId>
                <artifactId>build-helper-maven-plugin</artifactId>
                <version>1.7</version>
                <executions>
                    <!-- Add src/main/scala to eclipse build path -->
                    <execution>
                        <id>add-source</id>
                        <phase>generate-sources</phase>
                        <goals>
                            <goal>add-source</goal>
                        </goals>
                        <configuration>
                            <sources>
                                <source>src/main/scala</source>
                            </sources>
                        </configuration>
                    </execution>
                    <!-- Add src/test/scala to eclipse build path -->
                    <execution>
                        <id>add-test-source</id>
                        <phase>generate-test-sources</phase>
                        <goals>
                            <goal>add-test-source</goal>
                        </goals>
                        <configuration>
                            <sources>
                                <source>src/test/scala</source>
                            </sources>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>
        <!-- other sections of the pom are excluded -->

我相信这个问题在某种程度上与Flink在运行时使用的SAXParser所使用的实现有关。 我也尝试使用@transient注释来防止Flink中的字段持久但没有成功。

但是我对于究竟发生了什么感到很困惑,有谁知道如何防止错误和出了什么问题?

过了一会儿,我弄清楚它有什么问题。

Scala XML文档说:

在Scala 2.11及更高版本中,将以下内容添加到build.sbt文件的libraryDependencies中:

"org.scala-lang.modules" %% "scala-xml" % "1.1.1"

Maven中的哪个转换为:

<dependency>
    <groupId>org.scala-lang.modules</groupId>
    <artifactId>scala-xml_2.12</artifactId>
    <version>1.1.1</version>
</dependency>

好吧,似乎不需要这种依赖,因为即使Flink 1.7.2似乎使用Scala 2.12.8它仍然在他的发行版中保留Scala XML(因此在类路径中),我相信这会导致实际加载类的问题如果正确的话,那可能不是解决链接错误的方法。

链接错误的解决方案实际上是使用Flink自己的RichMapFunction[InputT, OutputT]

class Processor extends RichMapFunction[String, String] {
  var factory: SAXParserFactory = _
  var SAXParser: SAXParser = _
  var xmlLoader: XMLLoader[Elem] = _

  override def open(parameters: Configuration): Unit = {
    factory = SAXParserFactory.newInstance
    SAXParser = factory.newSAXParser
    xmlLoader = XML.withSAXParser(SAXParser)
  }

  override def map(translatedMessage: String): String = {
    val xml = xmlLoader.loadString(translatedMessage)
    xml.toString
  }
}

正如JavaDoc所说:

函数的初始化方法。

or ) and thus suitable for one time setup work. 它在实际工作方法之前调用(如 ),因此适用于一次性设置工作。 对于作为迭代一部分的函数,将在每次迭代超级步的开始时调用此方法。

不幸的是,在这种情况下优选使用var ,因为值/变量的初始化需要由Flink处理,以防止运行时的链接错误。

一些说明:

  • 我意识到这可能只发生在DataStream[T]而不是DataSet[T]
  • Job需要将并行度设置为大于1才能导致多个任务管理器加载同一个类,如果在IDE中完成它可能会很棘手, 这里已经解释过了
  • 在注意到此问题的原因后,似乎伴随对象可能不适合Flink使用。
  • 最后一部分可能是Flink的“Scala API扩展”页面中的一个很好的注释,它还解释了Flink通常不支持匿名模式匹配函数来解构元组,除非使用Flink Scala API扩展: https: //ci.apache.org/projects/flink/flink-docs-release-1.7/dev/scala_api_extensions.html

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