必须包括 log4J，但它会导致 Apache Spark shell 中出现错误。如何避免错误？

Question

由于我必须将 jar 包含到 Spark 代码中的复杂性，我想寻求帮助找出解决此问题的方法而不删除 log4j 导入。

简单代码如下：

    :cp symjar/log4j-1.2.17.jar
import org.apache.spark.rdd._

      val hadoopConf=sc.hadoopConfiguration;
      hadoopConf.set("fs.s3n.impl", "org.apache.hadoop.fs.s3native.NativeS3FileSystem")
      hadoopConf.set("fs.s3n.awsAccessKeyId","AKEY")
      hadoopConf.set("fs.s3n.awsSecretAccessKey","SKEY") 
    val numOfProcessors = 2
    val filePath = "s3n://SOMEFILE.csv"
    var rdd = sc.textFile(filePath, numOfProcessors)
    def doStuff(rdd: RDD[String]): RDD[String] = {rdd}
    doStuff(rdd)

首先，我收到这个错误：

error: error while loading StorageLevel, class file '/root/spark/lib/spark-assembly-1.3.0-hadoop1.0.4.jar(org/apache/spark/storage/StorageLevel.class)' has location not matching its contents: contains class StorageLevel
error: error while loading Partitioner, class file '/root/spark/lib/spark-assembly-1.3.0-hadoop1.0.4.jar(org/apache/spark/Partitioner.class)' has location not matching its contents: contains class Partitioner
error: error while loading BoundedDouble, class file '/root/spark/lib/spark-assembly-1.3.0-hadoop1.0.4.jar(org/apache/spark/partial/BoundedDouble.class)' has location not matching its contents: contains class BoundedDouble
error: error while loading CompressionCodec, class file '/root/spark/lib/spark-assembly-1.3.0-hadoop1.0.4.jar(org/apache/hadoop/io/compress/CompressionCodec.class)' has location not matching its contents: contains class CompressionCodec

然后，我再次运行这一行，错误消失了：

var rdd = sc.textFile(filePath, numOfProcessors)

然而，代码的最终结果是：

error: type mismatch;
 found   : org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.RDD[String]
 required: org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.RDD[String]
              doStuff(rdd)
                      ^

如何避免从导入中删除 log4j 而不会出现上述错误？（这很重要，因为我大量使用 log4j 的 jar 与 Spark-Shell 冲突）。

Answer 1

答案不是只使用 :cp 命令，而是在 export SPARK_SUBMIT_CLASSPATH=" 下添加 include everything in .../spark/conf/spark-env.sh .../the/path/to/a.jar

Answer 2

另一个答案，如果使用 IDE 例如 Eclipse 的 Scala 和 maven，是从 maven 中排除 jars。例如，我想排除 ommons-codec（然后将不同版本作为 JAR 包含到项目中）并将更改添加到 pom.xml 中：

...............
             <dependencies>
                            <dependency>
                                <groupId>org.apache.spark</groupId>
                                <artifactId>spark-core_2.11</artifactId>
                                <version>1.3.0</version>
                             <exclusions>
                            <exclusion>
                           <groupId>commons-codec</groupId>
                          <artifactId>commons-codec</artifactId>
                          <version>1.3</version>
                          </exclusion>
                          </exclusions>
                         </dependency>
                        </dependencies>
...............

必须包括 log4J，但它会导致 Apache Spark shell 中出现错误。如何避免错误？

Must include log4J, but it is causing errors in Apache Spark shell. How to avoid errors?

scala

log4j

apache-spark

type-mismatch