Frage
py4j.protocol.Py4JJavaError: An error occurred while calling o165.partitions.
: java.lang.RuntimeException: Error in configuring object
at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:112)
at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:78)
at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:136)
at org.apache.spark.rdd.HadoopRDD.getInputFormat(HadoopRDD.scala:190)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:204)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:273)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:269)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:269)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:273)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:269)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:269)
at org.apache.spark.api.java.JavaRDDLike$class.partitions(JavaRDDLike.scala:61)
at org.apache.spark.api.java.AbstractJavaRDDLike.partitions(JavaRDDLike.scala:45)
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:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.reflect.InvocationTargetException
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:498)
at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:109)
... 26 more
Caused by: java.lang.IllegalArgumentException: Compression codec com.hadoop.compression.lzo.LzoCodec not found.
at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:139)
at org.apache.hadoop.io.compress.CompressionCodecFactory.<init>(CompressionCodecFactory.java:180)
at org.apache.hadoop.mapred.TextInputFormat.configure(TextInputFormat.java:45)
... 31 more
Caused by: java.lang.ClassNotFoundException: Class com.hadoop.compression.lzo.LzoCodec not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2101)
at org.apache.hadoop.io.compress.CompressionCodecFactory.getCodecClasses(CompressionCodecFactory.java:132)
... 33 more
spark/binÖffnen Sie Pyspark unten sc.textFile("/word.txt").flatMap(lambda line: line.split(" ")).map(lambda x: (x, 1)).reduceByKey(lambda a, b: a+b).collect()beim Versuch, die Datei zu lesen, wird der obige Fehler gemeldet.
Grund: Hadoop-lzo-0.4.20.jar Die LZO-Komprimierung wurde zu meinem Hadoop hinzugefügt und die LZO-Komprimierung wurde in core-site.xml konfiguriert. Wenn Spark den Garnmodus verwendet, verfügt Spark selbst nicht über das JAR-Paket von LZO, sodass die von HDFS heruntergeladene Datei word.txtnicht automatisch dekomprimiert wird und eine Reihe der oben genannten Fehler gemeldet wird.
spark-default.confFügen Sie eine Zeile hinzu :
spark.jars=..../hadoop-2.7.2/share/hadoop/common/hadoop-lzo-0.4.20.jar
Das Problem ist behoben.
>>> sc.textFile("/word.txt").flatMap(lambda line: line.split(" ")).map(lambda x: (x, 1)).reduceByKey(lambda a, b: a+b).collect()
[('world', 1), ('python', 1), ('scala', 1), ('hello', 4), ('spark', 1)]