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Posted to issues@spark.apache.org by "Elazar Gershuni (JIRA)" <ji...@apache.org> on 2016/01/04 20:31:39 UTC

[jira] [Updated] (SPARK-12623) map key_values to values

     [ https://issues.apache.org/jira/browse/SPARK-12623?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Elazar Gershuni updated SPARK-12623:
------------------------------------
    Description: 
Why doesn't the argument to mapValues() take a key as an agument? Alternatively, can we have a "mapKeyValuesToValues" that does?

Use case: I want to write a simpler analyzer that takes the argument to map(), and analyze it to see whether it (trivially) doesn't change the key, e.g. 
g = lambda kv: (kv[0], f(kv[0], kv[1]))
rdd.map(g)

Problem is, if I find that it is the case, I can't call mapValues() with that function, as in `rdd.mapValues(lambda kv: g(kv)[1])`, since mapValues receives only `v` as an argument.


  was:
Why doesn't the argument to mapValues() take a key as an agument? Alternatively, can we have a "mapKeyValuesToValues" that does?

Use case: I want to write a simpler analyzer that takes the argument to map(), and analyze it to see whether it (trivially) doesn't change the key, e.g. 
g = lambda kv: (kv[0], f(kv[0], kv[1])
rdd.map(g)

Problem is, if I find that it is the case, I can't call mapValues() with that function, as in `rdd.mapValues(lambda kv: g(kv)[1])`, since mapValues receives only `v` as an argument.



> map key_values to values
> ------------------------
>
>                 Key: SPARK-12623
>                 URL: https://issues.apache.org/jira/browse/SPARK-12623
>             Project: Spark
>          Issue Type: New Feature
>          Components: Spark Core
>            Reporter: Elazar Gershuni
>            Priority: Minor
>              Labels: easyfix, features, performance
>   Original Estimate: 0.5h
>  Remaining Estimate: 0.5h
>
> Why doesn't the argument to mapValues() take a key as an agument? Alternatively, can we have a "mapKeyValuesToValues" that does?
> Use case: I want to write a simpler analyzer that takes the argument to map(), and analyze it to see whether it (trivially) doesn't change the key, e.g. 
> g = lambda kv: (kv[0], f(kv[0], kv[1]))
> rdd.map(g)
> Problem is, if I find that it is the case, I can't call mapValues() with that function, as in `rdd.mapValues(lambda kv: g(kv)[1])`, since mapValues receives only `v` as an argument.



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