One more update: I've realized that this problem is not only Python related. I've tried
it also in Scala, but I'm still getting the same error, my scala code: val file =
sc.wholeTextFiles("s3n://wiki-dump/wikiinput").first()
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My additional question is if this problem can be possibly caused by the fact
that my file is bigger than RAM memory across the whole cluster?
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Hi
I'm trying to use sc.wholeTextFiles() on file that is stored amazon S3 I'm
getting following Error:
14/10/08 06:09:50 INFO input.FileInputFormat: Total input paths to process : 1
14/10/08 06:09:50 INFO input.FileInputFormat: Total input paths to process : 1
Traceback (most recent call last):
File "/root/distributed_rdd_test.py", line 27, in <module>
result = distData.flatMap(gensim.corpora.wikicorpus.extract_pages).take(10)
File "/root/spark/python/pyspark/rdd.py", line 1126, in take
totalParts = self._jrdd.partitions().size()
File "/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line
538, in __call__
File "/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line
300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o30.partitions.
: java.io.FileNotFoundException: File does not exist: /wikiinput/wiki.xml.gz
at
org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:517)
at
org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat$OneFileInfo.<init>(CombineFileInputFormat.java:489)
at
org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat.getMoreSplits(CombineFileInputFormat.java:280)
at
org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat.getSplits(CombineFileInputFormat.java:240)
at org.apache.spark.rdd.WholeTextFileRDD.getPartitions(NewHadoopRDD.scala:220)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
at org.apache.spark.api.python.PythonRDD.getPartitions(PythonRDD.scala:56)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:202)
at org.apache.spark.api.java.JavaRDDLike$class.partitions(JavaRDDLike.scala:50)
at org.apache.spark.api.java.JavaRDD.partitions(JavaRDD.scala:32)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
My code is following:
sc = SparkContext(appName="Process wiki")
distData = sc.wholeTextFiles('s3n://wiki-dump/wikiinput')
result = distData.flatMap(gensim.corpora.wikicorpus.extract_pages).take(10)
for item in result:
print item.getvalue()
sc.stop()
So my question is, is it possible to read whole files from S3? Based on the
documentation it shouold be possible, but it seems that it does not work for me.
When I do just:
sc = SparkContext(appName="Process wiki")
distData = sc.wholeTextFiles('s3n://wiki-dump/wikiinput').take(10)
print distData
Then the error that I'm getting is exactly the same.
Thank you in advance for any advice.
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