Serializer or Out-of-Memory issues?

I'm trying to perform operations on a large RDD, that ends up being about 1.3 GB in memory when loaded in. It's being cached in memory during the first operation, but when another task begins that uses the RDD, I'm getting this error that says the RDD was lost: 14/06/30 09:48:17 INFO

Re: wholeTextFiles not working with HDFS

I didn't fix the issue so much as work around it. I was running my cluster locally, so using HDFS was just a preference. The code worked with the local file system, so that's what I'm using until I can get some help. -- View this message in context:

Spark 1.0.0 java.lang.outOfMemoryError: Java Heap Space

I've been trying to figure out how to increase the heap space for my spark environment in 1.0.0, and all of the things I've found tell me I have export something in Java Opts, which is deprecated in 1.0.0, or in increase the spark.executor.memory, which is at 6G. I'm only trying to process about

Spark 1.0.0 java.lang.outOfMemoryError: Java Heap Space

I've been trying to figure out how to increase the heap space for my spark environment in 1.0.0, and all of the things I've found tell me I have export something in Java Opts, which is deprecated in 1.0.0, or in increase the spark.executor.memory, which is at 6G. I'm only trying to process about

Re: wholeTextFiles not working with HDFS

I can write one if you'll point me to where I need to write it. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/wholeTextFiles-not-working-with-HDFS-tp7490p7737.html Sent from the Apache Spark User List mailing list archive at Nabble.com.

Re: wholeTextFiles not working with HDFS

My exception stack looks about the same. java.io.FileNotFoundException: File /user/me/target/capacity-scheduler.xml does not exist. at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:397) at