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https://issues.apache.org/jira/browse/SPARK-5955?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15085794#comment-15085794
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Alger Remirata commented on SPARK-5955:
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Hi Xiangrui Meng,
First of all, I would like to thank you guys for developing spark and putting
it open source that we can use. I'm Alger Remirata, a researcher from the
Philippines. I'm new to Spark and Scala, and working in a project involving
matrix factorizations in Spark. I have a problem regarding running ALS in
Spark. It has a stackoverflow due to long linage chain as per comments on the
internet. One of their suggestion is to use the setCheckpointInterval so that
for every 10-20 iterations, we can checkpoint the RDDs and it prevents the
error. Just want to ask details on how to do checkpointing with ALS. I am using
spark-kernel developed by IBM: https://github.com/ibm-et/spark-kernel instead
of spark-shell.
Here are some of my specific questions regarding details on checkpoint:
1. In setting checkpoint directory through SparkContext.setCheckPointDir(), it
needs to be a hadoop compatible directory. Can we use any available
hdfs-compatible directory?
2. What do you mean by this comment on the code in ALS checkpointing:
If the checkpoint directory is not set in [[org.apache.spark.SparkContext]],
* this setting is ignored.
3. Is the use of setCheckPointInterval the only code I needed to add to have
checkpointing for ALS work?
4. I am getting this error: Name: java.lang.IllegalArgumentException, Message:
Wrong FS: expected file :///. How can I solve this? What is the proper way of
using checkpointing.
Thanks a lot!
> Add checkpointInterval to ALS
> -----------------------------
>
> Key: SPARK-5955
> URL: https://issues.apache.org/jira/browse/SPARK-5955
> Project: Spark
> Issue Type: New Feature
> Components: ML, MLlib
> Affects Versions: 1.3.0
> Reporter: Xiangrui Meng
> Assignee: Xiangrui Meng
> Fix For: 1.3.1, 1.4.0
>
>
> We should add checkpoint interval to ALS to prevent the following:
> 1. storing large shuffle files
> 2. stack overflow (SPARK-1106)
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