Monitoring HDFS directory for new files using Spark Streaming

I wanted to build this simple Spark Streaming application that monitors a particular directory in HDFS and whenever a new file shows up, i want to print its content to Console. I built this HDFSFileStream.scala. In this program after creating a SparkStreamContext. I am calling sparkStreamingContext.textFileStream(<directoryName>) on it. Once a new file appears in the directory the value of fileRDD.count() would return more than 0 and then i invoke processNewFile(). The processNewFile() method takes a RDD[String], iterates through the file content and prints it to console Next start the program by executing following code bin/spark-submit ~/HelloSparkStreaming-1.0-SNAPSHOT-jar-with-dependencies.jar /user/mapr/stream 3 Once the streaming started it starts monitoring /user/mapr/stream directory, for new content. I copied a file with few lines in it and i got the following output, which is content of the file

3 comments:

Basanth said...

Hello Sunil,

Thanks for the blog. I need to implement similar code for a component of mine. Had a couple of questions ? I mean

1. I was wondering what kind of load will your approach place on the hdfs namenode. Will you be constantly pinging the namenode to get the latest files on your monitored directories ? Is this going to cause any adverse performance issues on the cluster?

2. Is there a push model instead of this pull model so that your code can be notified of the existence of a new file in hdfs ; rather than querying hdfs ourselves ?

Thanks !
Basanth

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Jay M said...

Hi Sunil

I would like to refer HDFSFileStream.scala.
I have below requirement

I need to monitor few directories in our cluster and make report every month for below things;
Size of the directories previous month and current month
Monitor new folders which are getting added in current month.
create this report every month