Hi Franke,
Thanks for your reply. I am trying this and doing as follows.
Let the third party application 1) dumps the original file in a directory and
.upload file in another directory.
I am writing logic to listen to directory that contains .upload files.
Here I need to map the name of the file in both the directories. Could you
please suggest how to get the filename in streaming.
val sc = new SparkContext("local[*]", "test")
val ssc = new StreamingContext(sc, Seconds(4))
val dStream = ssc.textFileStream(pathOfDirToStream)
dStream.foreachRDD { eventsRdd => /* How to get the file name */ }
From: Jörn Franke [mailto:jornfra...@gmail.com]
Sent: Thursday, September 15, 2016 11:02 PM
To: Kappaganthu, Sivaram (ES)
Cc: user@spark.apache.org
Subject: Re: Spark Streaming-- for each new file in HDFS
Hi,
I recommend that the third party application puts an empty file with the same
filename as the original file, but the extension ".uploaded". This is an
indicator that the file has been fully (!) written to the fs. Otherwise you
risk only reading parts of the file.
Then, you can have a file system listener for this .upload file.
Spark streaming or Kafka are not needed/suitable, if the server is a file
server. You can use oozie (maybe with a simple custom action) to poll for
.uploaded files and transmit them.
On 15 Sep 2016, at 19:00, Kappaganthu, Sivaram (ES)
<sivaram.kappagan...@adp.com<mailto:sivaram.kappagan...@adp.com>> wrote:
Hello,
I am a newbie to spark and I have below requirement.
Problem statement : A third party application is dumping files continuously in
a server. Typically the count of files is 100 files per hour and each file is
of size less than 50MB. My application has to process those files.
Here
1) is it possible for spark-stream to trigger a job after a file is placed
instead of triggering a job at fixed batch interval?
2) If it is not possible with Spark-streaming, can we control this with
Kafka/Flume
Thanks,
Sivaram
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