In Spark Streaming you can simply check whether your RDD contains any
records or not and if records are there you can save them using
FIleOutputStream:
DStream.foreachRDD(t=> { var count = t.count(); if (count>0){ // SAVE YOUR
STUFF} };
This will not create unnecessary files of 0 bytes.
On Mon, Aug 17, 2015 at 2:51 PM, Akhil Das <ak...@sigmoidanalytics.com>
wrote:
> Currently, spark streaming would create a new directory for every batch
> and store the data to it (whether it has anything or not). There is no
> direct append call as of now, but you can achieve this either with
> FileUtil.copyMerge
> <http://apache-spark-user-list.1001560.n3.nabble.com/save-spark-streaming-output-to-single-file-on-hdfs-td21124.html#a21167>
> or have a separate program which will do the clean up for you.
>
> Thanks
> Best Regards
>
> On Sat, Aug 15, 2015 at 5:20 AM, Mohit Anchlia <mohitanch...@gmail.com>
> wrote:
>
>> Spark stream seems to be creating 0 bytes files even when there is no
>> data. Also, I have 2 concerns here:
>>
>> 1) Extra unnecessary files is being created from the output
>> 2) Hadoop doesn't work really well with too many files and I see that it
>> is creating a directory with a timestamp every 1 second. Is there a better
>> way of writing a file, may be use some kind of append mechanism where one
>> doesn't have to change the batch interval.
>>
>
>
