Comments (2)
The approach that I take is to take advantage of datadr's backend-agnostic design and do something like this:
dat <- ddf(hdfsConn("_path_"))
localdat <- ddf(dat[1:10])
Now you have a local in-memory subset and you can run your mrExec or any other datadr code on localdat and test it. And you have the added benefit to stick browser()
statements anywhere in your code and step in - something you can't do on a cluster with rhipe.
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That worked pretty well for code debugging. (Tried it). Useful.
The other issue is that new Yarn containers are super strict about going over mapreduce.reduce.memory.mb . Any reducer that tries to go over for a second is turned into a failed reducer container and restarted. I am finding that to be a blessing and a curse. It is a blessing because you never induce swapping, but you have to nail it, but I can't figure out how to guess how high it needs to be other than to start jobs and see what happens---which was the other part of why part files were in my head.
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Related Issues (20)
- When conditioning on more than one variable the key can get extra spaces in it HOT 1
- API for new ddo and ddf data stores HOT 2
- expanding drSubset output options HOT 1
- Add a function to force datadr to persist transformations immediately HOT 2
- Simplify function return requirements for a key/value transformation HOT 2
- Add overwrite parameter to convert function
- drFilter returns data in slightly different format for localDiskConnection data HOT 1
- Join Function for DDFs
- How to use drRead.csv with csv on HDFS? HOT 2
- as.list.key HOT 3
- Question: how does control get passed in ddo internals? HOT 1
- stringi on windows 10 and error HOT 2
- combMeanCoef() doesn't seem to be working HOT 1
- NA and "NA" characters break convert to localDiskConn after divide
- conditioning vars are not found HOT 4
- Ability to Handle csv.gz files stored into HDFS HOT 2
- [feature request] There should be a function like drWrite.csv HOT 4
- Problem in extracting a subset of a ddf HOT 2
- README link does not work. HOT 3
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