Hello ,
I used approach that you've suggested :
lines = sc.textFile("/input/lprs/2015_05_15/file4.csv,
/input/lprs/2015_05_14/file3.csv, /input/lprs/2015_05_13/file2.csv,
/input/lprs/2015_05_12/file1.csv")
but It doesn't work for me:
py4j.protocol.Py4JJavaError: An error occurred while calling
o30.partitions.
: org.apache.hadoop.mapred.InvalidInputException: Input path does not
exist: hdfs://sdo-hdp-bd-master1.development.c4i:8020/user/hdfs/
/input/lprs/2015_05_14/file3.csv
Input path does not exist:
hdfs://sdo-hdp-bd-master1.development.c4i:8020/user/hdfs/
/input/lprs/2015_05_13/file2.csv
Input path does not exist:
hdfs://sdo-hdp-bd-master1.development.c4i:8020/user/hdfs/
/input/lprs/2015_05_12/file1.csv
at
org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:285)
at
org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:228)
at
org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:304)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:203)
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.api.python.PythonRDD.getPartitions(PythonRDD.scala:56)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at
org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at
org.apache.spark.api.java.JavaRDDLike$class.partitions(JavaRDDLike.scala:56)
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)
Please advise what I am doing wrong.
Thanks
Oleg.
On Wed, May 6, 2015 at 10:23 AM, MEETHU MATHEW <[email protected]>
wrote:
> Hi,
>
> 1. Please try giving the input paths as a comma separated list inside
> sc.textFile()
> sc.textFile("/path/to/file1,/path to /file2")
>
>
> Thanks & Regards,
> Meethu M
>
>
>
> On Tuesday, 5 May 2015 6:30 PM, Oleg Ruchovets <[email protected]>
> wrote:
>
>
> Hi
> We are using pyspark 1.3 and input is text files located on hdfs.
>
> file structure
> <day1>
> file1.txt
> file2.txt
> <day2>
> file1.txt
> file2.txt
> ...
>
> Question:
>
> 1) What is the way to provide as an input for PySpark job multiple
> files which located in Multiple folders (on hdfs).
> Using textFile method works fine for single file or folder , but how can I
> do it using multiple folders?
> Is there a way to pass array , list of files?
>
> 2) What is the meaning of partition parameter in textFile method?
>
> sc = SparkContext(appName="TAD")
> lines = sc.textFile(<my input>, 1)
>
> Thanks
> Oleg.
>
>
>
