我在本地模式下运行得很好。当我在 YARN 模式下运行时,出现以下错误:
我收到此错误:
File "/hdfs15/yarn/nm/usercache/jvy234/filecache/11/spark-assembly-1.1.0-cdh5.2.1-hadoop2.5.0-cdh5.2.1.jar/pyspark/worker.py", line 79, in main
serializer.dump_stream(func(split_index, iterator), outfile)
File "/hdfs15/yarn/nm/usercache/jvy234/filecache/11/spark-assembly-1.1.0-cdh5.2.1-hadoop2.5.0-cdh5.2.1.jar/pyspark/serializers.py", line 196, in dump_stream
self.serializer.dump_stream(self._batched(iterator), stream)
File "/hdfs15/yarn/nm/usercache/jvy234/filecache/11/spark-assembly-1.1.0-cdh5.2.1-hadoop2.5.0-cdh5.2.1.jar/pyspark/serializers.py", line 127, in dump_stream
for obj in iterator:
File "/hdfs15/yarn/nm/usercache/jvy234/filecache/11/spark-assembly-1.1.0-cdh5.2.1-hadoop2.5.0-cdh5.2.1.jar/pyspark/serializers.py", line 185, in _batched
for item in iterator:
File "/home/jvy234/globalHawk.py", line 84, in <lambda>
TypeError: 'bool' object is not callable
org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:124)
org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:154)
org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:87)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:61)
org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:209)
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184)
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:184)
org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1319)
org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:183)
我的脚本中的第 84 行是:
dataSplit = dataFile.map(lambda line: line.split(deli))
本地运行:
spark-submit --master local globalHawk.py -i 20140817_011500_offer_init.dat -s kh_offers_schema4.txt4 -o txt.txt -d "|"
运行 Yarn 客户端:
spark-submit --master yarn-client globalHawk.py -i 20140817_011500_offer_init.dat -s kh_offers_schema4.txt4 -o txt.txt -d "|"
最佳答案
此问题应该是由于驱动程序和 YARN Worker 中的 Python 版本不同引起的,可以通过在 YARN 中的驱动程序和 Worker 中使用默认的相同版本的 Python 来修复。
您还可以通过以下方式指定在 YARN 中使用哪个版本的 python:
PYSPARK_PYTHON=python2.6 bin/spark-submit xxx
(没有可用的 YARN 集群,未测试)
关于python - Spark 在本地运行但不在 YARN 中运行,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/28879803/