问NoSuchMethodError - org.apache.spark.util.Utils$.withDummyCallSite
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提问于 2015-11-19 18:07:47

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我正在尝试在集群上启动Spark作业(Spark 1.4.0)。无论是从命令行还是Eclipse，我都得到了一个关于Spark Utils类中缺少withDummyCallSite函数的错误。在maven依赖项中，我可以看到spark-core_2.10-1.4.0.jar已加载，它应该包含此函数。我运行的是Java 1.7，与先前编译代码时使用的Java版本相同。我可以在Spark Master监视器上看到作业已经启动，所以它看起来不像是防火墙问题。下面是我在控制台中看到的错误(从命令行和Eclipse)：

ERROR 09:53:06,314  Logging.scala:75 -- Task 0 in stage 1.0 failed 4 times; aborting job
SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
java.lang.NoSuchMethodError: org.apache.spark.util.Utils$.withDummyCallSite(Lorg/apache/spark/SparkContext;Lscala/Function0;)Ljava/lang/Object;
    at org.apache.spark.sql.parquet.ParquetRelation2.buildScan(newParquet.scala:269)
    at org.apache.spark.sql.sources.HadoopFsRelation.buildScan(interfaces.scala:530)
    at org.apache.spark.sql.sources.DataSourceStrategy$$anonfun$8.apply(DataSourceStrategy.scala:98)
    at org.apache.spark.sql.sources.DataSourceStrategy$$anonfun$8.apply(DataSourceStrategy.scala:98)
    at org.apache.spark.sql.sources.DataSourceStrategy$$anonfun$pruneFilterProject$1.apply(DataSourceStrategy.scala:266)
    at org.apache.spark.sql.sources.DataSourceStrategy$$anonfun$pruneFilterProject$1.apply(DataSourceStrategy.scala:265)
    at org.apache.spark.sql.sources.DataSourceStrategy$.pruneFilterProjectRaw(DataSourceStrategy.scala:296)
    at org.apache.spark.sql.sources.DataSourceStrategy$.pruneFilterProject(DataSourceStrategy.scala:261)
    at org.apache.spark.sql.sources.DataSourceStrategy$.apply(DataSourceStrategy.scala:94)
    at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
    at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
    at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
    at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
    at org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
    at org.apache.spark.sql.execution.SparkStrategies$HashAggregation$.apply(SparkStrategies.scala:162)
    at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
    at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
    at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
    at org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:59)
    at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:932)
    at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:930)
    at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:936)
    at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:936)
    at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1255)
    at org.apache.spark.sql.DataFrame.count(DataFrame.scala:1269)