scala spark 1.4.0 java。lang.NoSuchMethodError:com。谷歌。常见的基础秒表elapsedMillis（）J

Question

我正在使用spark 1.4.0/hadoop 2.6.0（仅适用于hdfs），在运行Scala SparkPageRank示例（examples/src/main/Scala/org/apache/spark/examples/SparkPageRank.Scala）时，我遇到了以下错误：

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$$anonfun$partitions$2.apply(RDD.scala:219)
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.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$$anonfun$partitions$2.apply(RDD.scala:219)
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.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$$anonfun$partitions$2.apply(RDD.scala:219)
    at org.apache.spark.rdd.RDD$$anonfun$partitions$2.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$$anonfun$distinct$2.apply(RDD.scala:329)
    at org.apache.spark.rdd.RDD$$anonfun$distinct$2.apply(RDD.scala:329)
    at org.apache.spark.rdd.RDDOperationScope$.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$1(SparkSubmit.scala:170)
    at org.apache.spark.deploy.SparkSubmit$.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不是非常熟悉，但它似乎是一个版本问题

以下信息可能会有所帮助：

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

部分示例/pom。xml文件：

...
 <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>
...

实际上，这个类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

番石榴16中的方法elapsedMilis()已被删除。（或者计划删除-无论如何，您的列表中没有使用此名称的方法。）

据我所知，在番石榴16中应该有类似TimeUnit.MILLISECONDS的东西，或者你可以通过除以100000000.0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HBaseAdmin函数时解决了秒表的问题。tableExists（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在1.3.0中发布，但目前还不能用于生产link