Maybe you need to set the parameters for the mapreduce api and not the mapred
api. I do not have in mind now how they differ but the Hadoop web page should
tell you ;-)
> On 10. Oct 2017, at 17:53, Kanagha Kumar <kpra...@salesforce.com> wrote:
>
> Thanks for the inputs!!
>
> I passed in spark.mapred.max.split.size, spark.mapred.min.split.size to the
> size I wanted to read. It didn't take any effect.
> I also tried passing in spark.dfs.block.size, with all the params set to the
> same value.
>
> JavaSparkContext.fromSparkContext(spark.sparkContext()).textFile(hdfsPath,
> 13);
>
> Is there any other param that needs to be set as well?
>
> Thanks
>
>> On Tue, Oct 10, 2017 at 4:32 AM, ayan guha <guha.a...@gmail.com> wrote:
>> I have not tested this, but you should be able to pass on any map-reduce
>> like conf to underlying hadoop config.....essentially you should be able to
>> control behaviour of split as you can do in a map-reduce program (as Spark
>> uses the same input format)
>>
>>> On Tue, Oct 10, 2017 at 10:21 PM, Jörn Franke <jornfra...@gmail.com> wrote:
>>> Write your own input format/datasource or split the file yourself
>>> beforehand (not recommended).
>>>
>>> > On 10. Oct 2017, at 09:14, Kanagha Kumar <kpra...@salesforce.com> wrote:
>>> >
>>> > Hi,
>>> >
>>> > I'm trying to read a 60GB HDFS file using spark
>>> > textFile("hdfs_file_path", minPartitions).
>>> >
>>> > How can I control the no.of tasks by increasing the split size? With
>>> > default split size of 250 MB, several tasks are created. But I would like
>>> > to have a specific no.of tasks created while reading from HDFS itself
>>> > instead of using repartition() etc.,
>>> >
>>> > Any suggestions are helpful!
>>> >
>>> > Thanks
>>> >
>>>
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>>>
>>
>>
>>
>> --
>> Best Regards,
>> Ayan Guha
>
>
>
> --
>
>
