英文:
SparkSession initilization throws ExceptionInInitializerError
问题
Sure, here is the translated content you provided:
我尝试运行一个简单的Spark Structured Streaming作业,但在调用`SparkSession`的`getOrCreate()`时出现错误...
我像这样创建了`SparkSession`:
```java
SparkSession spark = SparkSession
                .builder()
                .appName("CountryCount")
                .master("local[*]")
                .getOrCreate();
使用这个pom.xml:
<?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">
    <artifactId>spark-streaming</artifactId>
    <version>1.0</version>
    <packaging>jar</packaging>
    <properties>
        <maven.compiler.source>11</maven.compiler.source>
        <maven.compiler.target>11</maven.compiler.target>
        <spark.version>3.0.0</spark.version>
        <mvn-shade.version>3.2.4</mvn-shade.version>
        <slf4j.version>1.7.30</slf4j.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.apache.maven.plugins</groupId>
            <artifactId>maven-shade-plugin</artifactId>
            <version>${mvn-shade.version}</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.slf4j/slf4j-log4j12 -->
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-log4j12</artifactId>
            <version>${slf4j.version}</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.12</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-streaming -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_2.12</artifactId>
            <version>${spark.version}</version>
            <scope>provided</scope>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.12</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-streaming-kafka-0-10 -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming-kafka-0-10_2.12</artifactId>
            <version>${spark.version}</version>
        </dependency>
    </dependencies>
    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>${mvn-shade.version}</version>
                <executions>
                    <execution>
                        <goals>
                            <goal>shade</goal>
                        </goals>
                        <configuration>
                            <transformers>
                                <transformer
                                        implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/>
                            </transformers>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>
</project>
然而,我遇到了以下异常:
Exception in thread "main" java.lang.ExceptionInInitializerError
	at org.apache.spark.storage.BlockManagerMasterEndpoint.<init>(BlockManagerMasterEndpoint.scala:93)
	at org.apache.spark.SparkEnv$.$anonfun$create$9(SparkEnv.scala:370)
	at org.apache.spark.SparkEnv$.registerOrLookupEndpoint$1(SparkEnv.scala:311)
	at org.apache.spark.SparkEnv$.create(SparkEnv.scala:359)
	at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:189)
	at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:267)
	at org.apache.spark.SparkContext.<init>(SparkContext.scala:442)
	at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2555)
	at org.apache.spark.sql.SparkSession$Builder.$anonfun$getOrCreate$1(SparkSession.scala:930)
	at scala.Option.getOrElse(Option.scala:189)
	at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:921)
	at JobCountryCount.createJob(JobCountryCount.java:43)
	at JobCountryCount.<init>(JobCountryCount.java:27)
	at JobCountryCount.main(JobCountryCount.java:21)
Caused by: java.lang.NullPointerException
	at org.apache.commons.lang3.SystemUtils.isJavaVersionAtLeast(SystemUtils.java:1654)
	at org.apache.spark.storage.StorageUtils$.<init>(StorageUtils.scala:207)
	at org.apache.spark.storage.StorageUtils$.<clinit>(StorageUtils.scala)
	... 14 more
提前感谢您!
<details>
<summary>英文:</summary>
I'm trying to run a simple Spark Structured Streaming job, but I get an error when calling `getOrCreate()` on `SparkSession`...
I create the `SparkSession` like this:
```java
SparkSession spark = SparkSession
.builder()
.appName("CountryCount")
.master("local[*]")
.getOrCreate();
Using this pom.xml:
<?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">
    <artifactId>spark-streaming</artifactId>
    <version>1.0</version>
    <packaging>jar</packaging>
    <properties>
        <maven.compiler.source>11</maven.compiler.source>
        <maven.compiler.target>11</maven.compiler.target>
        <spark.version>3.0.0</spark.version>
        <mvn-shade.version>3.2.4</mvn-shade.version>
        <slf4j.version>1.7.30</slf4j.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.apache.maven.plugins</groupId>
            <artifactId>maven-shade-plugin</artifactId>
            <version>${mvn-shade.version}</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.slf4j/slf4j-log4j12 -->
        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-log4j12</artifactId>
            <version>${slf4j.version}</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-core -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.12</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-streaming -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_2.12</artifactId>
            <version>${spark.version}</version>
            <scope>provided</scope>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-sql -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.12</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <!-- https://mvnrepository.com/artifact/org.apache.spark/spark-streaming-kafka-0-10 -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming-kafka-0-10_2.12</artifactId>
            <version>${spark.version}</version>
        </dependency>
    </dependencies>
    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>${mvn-shade.version}</version>
                <executions>
                    <execution>
                        <goals>
                            <goal>shade</goal>
                        </goals>
                        <configuration>
                            <transformers>
                                <transformer
                                        implementation="org.apache.maven.plugins.shade.resource.ServicesResourceTransformer"/>
                            </transformers>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>
</project>
However, I get the following exception:
Exception in thread "main" java.lang.ExceptionInInitializerError
	at org.apache.spark.storage.BlockManagerMasterEndpoint.<init>(BlockManagerMasterEndpoint.scala:93)
	at org.apache.spark.SparkEnv$.$anonfun$create$9(SparkEnv.scala:370)
	at org.apache.spark.SparkEnv$.registerOrLookupEndpoint$1(SparkEnv.scala:311)
	at org.apache.spark.SparkEnv$.create(SparkEnv.scala:359)
	at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:189)
	at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:267)
	at org.apache.spark.SparkContext.<init>(SparkContext.scala:442)
	at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2555)
	at org.apache.spark.sql.SparkSession$Builder.$anonfun$getOrCreate$1(SparkSession.scala:930)
	at scala.Option.getOrElse(Option.scala:189)
	at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:921)
	at JobCountryCount.createJob(JobCountryCount.java:43)
	at JobCountryCount.<init>(JobCountryCount.java:27)
	at JobCountryCount.main(JobCountryCount.java:21)
Caused by: java.lang.NullPointerException
	at org.apache.commons.lang3.SystemUtils.isJavaVersionAtLeast(SystemUtils.java:1654)
	at org.apache.spark.storage.StorageUtils$.<init>(StorageUtils.scala:207)
	at org.apache.spark.storage.StorageUtils$.<clinit>(StorageUtils.scala)
	... 14 more
Thank you in advance!
答案1
得分: 2
看起来你的类路径上的Apache commons-lang库版本低于3.8,不支持JDK11。请查看https://issues.apache.org/jira/browse/LANG-1384。
由于Apache Spark 3.0.0正在使用3.9,我猜测你的环境可能也使用了旧版本的Spark(或Hadoop)。你可以在你的代码中打印classOf[org.apache.commons.lang3.SystemUtils].getResource("SystemUtils.class"),它会告诉你这个类来自哪里。
英文:
Looks like the version of Apache commons-lang library on your classpath is less than 3.8 which doesn't support JDK11. See https://issues.apache.org/jira/browse/LANG-1384 .
Since Apache Spark 3.0.0 is using 3.9, my hunch is your environment may also have an old Spark (or Hadoop) version. You can print classOf[org.apache.commons.lang3.SystemUtils].getResource("SystemUtils.class") in your codes. It will tell you where the class comes from.
通过集体智慧和协作来改善编程学习和解决问题的方式。致力于成为全球开发者共同参与的知识库,让每个人都能够通过互相帮助和分享经验来进步。


评论