Question

我正在尝试从谷歌桶读取文件，虽然我可以通过包含gcs jar进入spark shell时通过spark-shell读取它。在通过spark-submit提交时，它会抛出错误。

Exception in thread "main" java.lang.NoSuchMethodError: com.google.common.base.Splitter.splitToList(Ljava/lang/CharSequence;)Ljava/util/List;
        at com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystemBase$ParentTimestampUpdateIncludePredicate.create(GoogleHadoopFileSystemBase.java:780)
        at com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystemBase.createOptionsBuilderFromConfig(GoogleHadoopFileSystemBase.java:2130)
        at com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystemBase.configure(GoogleHadoopFileSystemBase.java:1822)
        at com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystemBase.initialize(GoogleHadoopFileSystemBase.java:1003)
        at com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystemBase.initialize(GoogleHadoopFileSystemBase.java:966)
        at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2689)
        at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:94)
        at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2723)
        at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2705)
        at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:407)
        at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:172)
        at org.apache.hadoop.mapred.JobConf.getWorkingDirectory(JobConf.java:656)
        at org.apache.hadoop.mapred.FileInputFormat.setInputPaths(FileInputFormat.java:440)
        at org.apache.hadoop.mapred.FileInputFormat.setInputPaths(FileInputFormat.java:413)
        at org.apache.spark.SparkContext$$anonfun$hadoopFile$1$$anonfun$33.apply(SparkContext.scala:1015)
        at org.apache.spark.SparkContext$$anonfun$hadoopFile$1$$anonfun$33.apply(SparkContext.scala:1015)
        at org.apache.spark.rdd.HadoopRDD$$anonfun$getJobConf$6.apply(HadoopRDD.scala:176)
        at org.apache.spark.rdd.HadoopRDD$$anonfun$getJobConf$6.apply(HadoopRDD.scala:176)
        at scala.Option.map(Option.scala:145)
        at org.apache.spark.rdd.HadoopRDD.getJobConf(HadoopRDD.scala:176)
        at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:195)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
        at scala.Option.getOrElse(Option.scala:120)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
        at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
        at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
        at scala.Option.getOrElse(Option.scala:120)
        at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
        at org.apache.spark.rdd.RDD.count(RDD.scala:1157)
        at com.google.reader.GoogleRead$.main(GoogleRead.scala:41)
        at com.google.reader.GoogleRead.main(GoogleRead.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:752)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

我尝试排除番石榴依赖，但我仍然遇到上述错误。下面是我正在使用的build.sbt文件

import sbt.ExclusionRule
name := "GoogleFileReader"

version := "1.0"

scalaVersion := "2.10.4"

libraryDependencies += "org.apache.spark" % "spark-sql_2.10" % "1.6.1" exclude("com.google.guava", "guava")
libraryDependencies += "com.google.cloud.bigdataoss" % "gcs-connector" % "1.6.0-hadoop2" 

assemblyMergeStrategy in assembly := {
  case PathList("javax", "servlet", xs @ _*) => MergeStrategy.last
  case PathList("javax", "activation", xs @ _*) => MergeStrategy.last
  case PathList("org", "apache", xs @ _*) => MergeStrategy.last
  case PathList("com", "google", xs @ _*) => MergeStrategy.last
  case PathList("com", "esotericsoftware", xs @ _*) => MergeStrategy.last
  case PathList("com", "codahale", xs @ _*) => MergeStrategy.last
  case PathList("com", "yammer", xs @ _*) => MergeStrategy.last
  case "about.html" => MergeStrategy.rename
  case "META-INF/ECLIPSEF.RSA" => MergeStrategy.last
  case "META-INF/mailcap" => MergeStrategy.last
  case "META-INF/mimetypes.default" => MergeStrategy.last
  case "plugin.properties" => MergeStrategy.last
  case "log4j.properties" => MergeStrategy.last
  case "pom.properties" => MergeStrategy.last
  case x =>
    val oldStrategy = (assemblyMergeStrategy in assembly).value
    oldStrategy(x)
}

Answer 1

在群集中运行时实际使用的guava库是Hadoop所依赖的旧版本，并且在驱动程序/执行程序启动时提供。它首先出现在类路径中，因此这就是为什么不使用代码所依赖的更新版本的原因;因此，NoSuchMethodError。

您可以尝试此解决方案（http://jhz.name/2016/01/10/spark-classpath.html），它基本上表示应首先检查用户类路径的火花，然后是Hadoop Classpath。它使用以下spark配置参数：

spark.driver.userClassPathFirst=true
spark.executor.userClassPathFirst=true

我很可能会像往常一样遇到其他类型的麻烦（java.lang.LinkageError;因为在这种情况下使用了类加载器）。

帮助我的解决方案是遮蔽我的代码正在使用的番石榴版本，以便它不再与Hadoop所依赖的版本冲突。看到对此的回应： https://groups.google.com/a/lists.datastax.com/forum/#!topic/spark-connector-user/8GCd8iQPy3c

它包括在build.sbt

中添加此着色规则

assemblyShadeRules in assembly := Seq(  
  ShadeRule.rename("com.google.**" -> "shaded.@1").inAll 
)

确保您还更新了com.google的合并策略：

case PathList("shaded", xs @ _*) => MergeStrategy.last

Answer 2

package com.murphy

import org.apache.spark.sql.SparkSession
object GoogleStorageReader {
  def main(args: Array[String]): Unit = {
    val spark: SparkSession = SparkSession
      .builder()
      .appName("GCS test")
      .master("local")
      .config("spark.sql.warehouse.dir", "E:\\mobSummaryDataIngestion\\spark-warehouse")
      .getOrCreate()
    val jsonKeyFile = "E:\\ConnsKPI scripts\\gcstest\\gcstest\\google_key.json"
    spark.sparkContext.hadoopConfiguration.set("google.cloud.auth.service.account.json.keyfile", jsonKeyFile)
    val df = spark.sqlContext.read
       .format("com.crealytics.spark.excel")
       .option("sheetName", "Master 18")
       .option("useHeader", "true")
       .option("treatEmptyValuesAsNulls", "false")
       .option("inferSchema", "false")
       .option("startColumn", 0)
       .option("endColumn", 20)
       .option("skipFirstRows", 3)
      .load("gs://bucket-for-practice/MAXIS_CELCOM_IT_Masterlist-2018.xlsx"
    )

    df.show()
   }
}

请找到附件的pom文件以供依赖。

<?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.murphy</groupId>
  <artifactId>mobSummaryDataIngestion</artifactId>
  <version>1.0-SNAPSHOT</version>

  <name>mobSummaryDataIngestion</name>
  <!-- FIXME change it to the project's website -->
  <url>http://www.example.com</url>


  <properties>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <maven.compiler.source>1.7</maven.compiler.source>
    <maven.compiler.target>1.7</maven.compiler.target>
  </properties>

  <dependencies>
    <dependency>
      <groupId>junit</groupId>
      <artifactId>junit</artifactId>
      <version>4.11</version>

    </dependency>
    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-hdfs</artifactId>
      <version>3.0.0</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core -->
      <dependency>
          <groupId>com.google.apis</groupId>
          <artifactId>google-api-services-storage</artifactId>
          <version>v1-rev158-1.25.0</version>
      </dependency> <!-- this is a maven cloud storage json api-->
      <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_2.11</artifactId>
      <version>2.0.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-client</artifactId>
      <version>3.0.0</version>
    </dependency>
    <dependency>
      <groupId>com.google.cloud</groupId>
      <artifactId>google-cloud-storage</artifactId>
      <version>1.92.0</version>
    </dependency>
    <dependency>
      <groupId>com.google.cloud.bigdataoss</groupId>
      <artifactId>gcs-connector</artifactId>
      <version>hadoop3-2.0.0</version>
    </dependency>
    <dependency>
      <groupId>com.google.cloud.bigdataoss</groupId>
      <artifactId>bigquery-connector</artifactId>
      <version>hadoop3-1.0.0-RC2</version>
    </dependency>
      <dependency>
          <groupId>com.google.guava</groupId>
          <artifactId>guava</artifactId>
          <version>27.1-jre</version>
      </dependency>
      <dependency>
          <groupId>com.google.api-client</groupId>
          <artifactId>google-api-client</artifactId>
          <version>1.30.4</version>
      </dependency>
      <dependency>
          <groupId>com.fasterxml.jackson.module</groupId>
          <artifactId>jackson-module-scala_2.11</artifactId>
          <version>2.7.8</version>
      </dependency>
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-sql_2.11</artifactId>
      <version>2.0.0</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-hive -->
    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-hive_2.11</artifactId>
      <version>2.0.0</version>
    </dependency>
    <!-- https://mvnrepository.com/artifact/com.crealytics/spark-excel -->
    <dependency>
      <groupId>com.crealytics</groupId>
      <artifactId>spark-excel_2.11</artifactId>
      <version>0.9.17</version>
    </dependency>
  </dependencies>

  <build>
      <plugins>
        <plugin>
          <artifactId>maven-clean-plugin</artifactId>
          <version>3.0.0</version>
        </plugin>
        <!-- see http://maven.apache.org/ref/current/maven-core/default-bindings.html#Plugin_bindings_for_jar_packaging -->
        <plugin>
          <artifactId>maven-resources-plugin</artifactId>
          <version>3.0.2</version>
        </plugin>
        <plugin>
          <artifactId>maven-compiler-plugin</artifactId>
          <version>3.7.0</version>
        </plugin>
        <plugin>
          <artifactId>maven-surefire-plugin</artifactId>
          <version>2.20.1</version>
        </plugin>
        <plugin>
          <artifactId>maven-jar-plugin</artifactId>
          <version>3.0.2</version>
        </plugin>
        <plugin>
          <artifactId>maven-install-plugin</artifactId>
          <version>2.5.2</version>
        </plugin>
        <plugin>
          <artifactId>maven-deploy-plugin</artifactId>
          <version>2.8.2</version>
        </plugin>
        <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-jar-plugin</artifactId>
                <configuration>
                    <archive>
                        <manifest>
                            <mainClass>com.murphy.MobileDashboard</mainClass>
                        </manifest>
                    </archive>
                </configuration>
            </plugin>
        <plugin>
          <!-- see http://davidb.github.com/scala-maven-plugin -->
          <groupId>net.alchim31.maven</groupId>
          <artifactId>scala-maven-plugin</artifactId>
          <version>3.2.0</version>
          <executions>
            <execution>
              <goals>
                <goal>compile</goal>
                <goal>testCompile</goal>
              </goals>
              <configuration>
                <jvmArgs>
                  <jvmArg>-Xss4m</jvmArg>
                  <jvmArg>-Xms512m</jvmArg>
                  <jvmArg>-Xmx4096m</jvmArg>
                </jvmArgs>
              </configuration>
            </execution>
          </executions>
        </plugin>
        <plugin>
          <groupId>org.apache.maven.plugins</groupId>
          <artifactId>maven-assembly-plugin</artifactId>
          <version>2.4.1</version>
          <configuration>
            <!-- get all project dependencies -->
            <descriptorRefs>
              <descriptorRef>jar-with-dependencies</descriptorRef>
            </descriptorRefs>
            <!-- MainClass in mainfest make a executable jar -->
            <archive>
              <manifest>
                <mainClass>com.murphy.MobileDashboard</mainClass>
              </manifest>
            </archive>

          </configuration>
          <executions>
            <execution>
              <id>make-assembly</id>
              <!-- bind to the packaging phase -->
              <phase>package</phase>
              <goals>
                <goal>single</goal>
              </goals>
            </execution>
          </executions>
        </plugin>
      </plugins>

  </build>
</project>

从Spark中读取Google存储桶中的文件

2 个答案: