[ Skip to the content ]

Institute of Formal and Applied Linguistics Wiki

[ Back to the navigation ]

You are here: start » spark » recipes » using-perl-via-pipes

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision 		Previous revision
Last revision Both sides next revision
spark:recipes:using-perl-via-pipes [2014/11/11 09:36]
straka 		spark:recipes:using-perl-via-pipes [2015/07/27 19:08]
straka
Line 84: Line 84:
 sc = SparkContext() sc = SparkContext()
 (sc.textFile(input) (sc.textFile(input)
-   .map(json.dumps).pipe("env perl tokenize.pl", os.environ).map(json.loads)+   .map(json.dumps).pipe("perl tokenize.pl", os.environ).map(json.loads)
    .flatMap(lambda tokens: map(lambda x: (x, 1), tokens))    .flatMap(lambda tokens: map(lambda x: (x, 1), tokens))
    .reduceByKey(lambda x,y: x + y)    .reduceByKey(lambda x,y: x + y)
Line 155: Line 155:
  
 After compiling ''perl_integration.scala'' with ''sbt'', we can execute it using After compiling ''perl_integration.scala'' with ''sbt'', we can execute it using
-  spark-submit --class Main --files tokenize.pl target/scala-2.10/perl_integration_2.10-1.0.jar input output+  spark-submit --files tokenize.pl target/scala-2.10/perl_integration_2.10-1.0.jar input output
  

[ Back to the navigation ] [ Back to the content ]