spark 1.4.0 java.lang.NoSuchMethodError: com.google.common.base.Stopwatch.elapsedMillis()J

Question

我正在使用 spark 1.4.0 / hadoop 2.6.0（仅用于 hdfs），当运行 Scala SparkPageRank 示例（examples/src/main/scala/org/apache/spark/examples/SparkPageRank.scala), 我遇到以下错误:

Exception in thread "main" java.lang.NoSuchMethodError: com.google.common.base.Stopwatch.elapsedMillis()J
    at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:245)
    at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:313)
    at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:207)
    at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:219)
    at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:217)
    at scala.Option.getOrElse(Option.scala:120)
    at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
    at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
    at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:219)
    at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:217)
    at scala.Option.getOrElse(Option.scala:120)
    at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
    at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
    at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:219)
    at org.apache.spark.rdd.RDD$$anonfun$partitions.apply(RDD.scala:217)
    at scala.Option.getOrElse(Option.scala:120)
    at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
    at org.apache.spark.rdd.RDD$$anonfun$distinct.apply(RDD.scala:329)
    at org.apache.spark.rdd.RDD$$anonfun$distinct.apply(RDD.scala:329)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
    at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
    at org.apache.spark.rdd.RDD.withScope(RDD.scala:286)
    at org.apache.spark.rdd.RDD.distinct(RDD.scala:328)
    at org.apache.spark.examples.SparkPageRank$.main(SparkPageRank.scala:60)
    at org.apache.spark.examples.SparkPageRank.main(SparkPageRank.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:497)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:621)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain(SparkSubmit.scala:170)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:193)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:112)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

我对java不是很熟悉，不过好像是guava版本问题

以下信息可能对您有所帮助：

$ find ./spark -name *.jars | grep guava
./lib_managed/bundles/guava-16.0.1.jar
./lib_managed/bundles/guava-14.0.1.jar

examples/pom.xml 文件的一部分：

...
 <dependency>
      <groupId>org.apache.cassandra</groupId>
      <artifactId>cassandra-all</artifactId>
      <version>1.2.6</version>
      <exclusions>
        <exclusion>
          <groupId>com.google.guava</groupId>
          <artifactId>guava</artifactId>
        </exclusion>
...

确实 class 似乎不包含有问题的方法：

$ javap -p /mnt/spark/examples/target/streams/$global/assemblyOption/$global/streams/assembly/7850cb6d36b2a6589a4d27ce027a65a2da72c9df_5fa98cd1a63c99a44dd8d3b77e4762b066a5d0c5/com/google/common/base/Stopwatch.class

Compiled from "Stopwatch.java"
public final class com.google.common.base.Stopwatch {
  private final com.google.common.base.Ticker ticker;
  private boolean isRunning;
  private long elapsedNanos;
  private long startTick;
  public static com.google.common.base.Stopwatch createUnstarted();
  public static com.google.common.base.Stopwatch createUnstarted(com.google.common.base.Ticker);
  public static com.google.common.base.Stopwatch createStarted();
  public static com.google.common.base.Stopwatch createStarted(com.google.common.base.Ticker);
  public com.google.common.base.Stopwatch();
  public com.google.common.base.Stopwatch(com.google.common.base.Ticker);
  public boolean isRunning();
  public com.google.common.base.Stopwatch start();
  public com.google.common.base.Stopwatch stop();
  public com.google.common.base.Stopwatch reset();
  private long elapsedNanos();
  public long elapsed(java.util.concurrent.TimeUnit);
  public java.lang.String toString();
  private static java.util.concurrent.TimeUnit chooseUnit(long);
  private static java.lang.String abbreviate(java.util.concurrent.TimeUnit);
}

我想更好地理解这个问题，如果可能的话，学习如何解决它:-)

Answer 1

方法 elapsedMilis() 已在 Guava 16 中删除。（或计划删除 - 无论如何，您的列表中没有使用此名称的方法。）

我记得在guava 16中应该有类似TimeUnit.MILLISECONDS的东西，或者你可以通过divading 1000000000.0手动转换。

Answer 2

尝试将 Hadoop 从 2.6.0 升级到 2.6.5。在我的例子中，它在使用函数 HBaseAdmin.tableExists 时解决了 Stopwatch 的问题（其他依赖项：Hbase 1.2.0、Spark 2.0.1、Scala 2.11.8），尽管 Hbase 中这个问题的解决方案计划是在 1.3.0 中发布，目前无法用于生产 link

Answer 3

我用的是Spark 2.4.4，还是有这个问题！反正我真的不需要看到这个日志输出，所以我只是更改了有问题的 class 的日志级别：

 <logger name="org.apache.hadoop.mapred.FileInputFormat" level="INFO" additivity="false">
    <appender-ref ref="CONSOLE"/>
</logger>

spark 1.4.0 java.lang.NoSuchMethodError: com.google.common.base.Stopwatch.elapsedMillis()J

spark 1.4.0 java.lang.NoSuchMethodError: com.google.common.base.Stopwatch.elapsedMillis()J

java

scala

guava

apache-spark