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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
453804715 https://github.com/pydata/xarray/issues/1173#issuecomment-453804715 https://api.github.com/repos/pydata/xarray/issues/1173 MDEyOklzc3VlQ29tbWVudDQ1MzgwNDcxNQ== jhamman 2443309 2019-01-13T06:00:22Z 2019-01-13T06:00:22Z MEMBER

Closing this old issue. We've taken care of most of the issues discussed here through the various backend updates over the past two years.

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  Some queries 196541604
268705335 https://github.com/pydata/xarray/issues/1173#issuecomment-268705335 https://api.github.com/repos/pydata/xarray/issues/1173 MDEyOklzc3VlQ29tbWVudDI2ODcwNTMzNQ== shoyer 1217238 2016-12-22T02:51:29Z 2016-12-22T02:51:29Z MEMBER

1179 will make use of SerializableLock() for our default netCDF4/HDF5 lock.

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  Some queries 196541604
268120151 https://github.com/pydata/xarray/issues/1173#issuecomment-268120151 https://api.github.com/repos/pydata/xarray/issues/1173 MDEyOklzc3VlQ29tbWVudDI2ODEyMDE1MQ== mrocklin 306380 2016-12-20T00:36:32Z 2016-12-20T00:36:32Z MEMBER

There have been some efforts and progress in using many NetCDF files on a distributed POSIX filesystem (NFS, gluster, not HDFS) but there is still some pain here. We should probably circle back up and figure out what still needs to be done (do you have a firm understanding of this @shoyer ?)

HDF5 on HDFS is, I suspect, sufficiently painful so that I would be more tempted to either avoid HDFS or to try other formats like ZArr (which I'm somewhat biased towards) (cc @alimanfoo). However my experience has been that most climate data lives on a POSIX file system, so experimentation here may not be high priority.

@JoyMonteiro if you have time then the first thing to do is to probably start using things and report where they're broken. I'm confident that small things will present themselves quickly :)

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  Some queries 196541604
268119475 https://github.com/pydata/xarray/issues/1173#issuecomment-268119475 https://api.github.com/repos/pydata/xarray/issues/1173 MDEyOklzc3VlQ29tbWVudDI2ODExOTQ3NQ== mrocklin 306380 2016-12-20T00:32:40Z 2016-12-20T00:32:40Z MEMBER

Some related issues:

https://github.com/pydata/xarray/issues/798 https://github.com/dask/distributed/issues/629

Will write more shortly.

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  Some queries 196541604
268105839 https://github.com/pydata/xarray/issues/1173#issuecomment-268105839 https://api.github.com/repos/pydata/xarray/issues/1173 MDEyOklzc3VlQ29tbWVudDI2ODEwNTgzOQ== shoyer 1217238 2016-12-19T23:11:05Z 2016-12-19T23:11:05Z MEMBER

I don't know if anyone has tested writing netCDFs with dask.distributed yet. I suspect the only immediate issue would be errors from dask because threading.Lock() can't be pickled. We need to switch to using dask's SerializableLock() to make dask.distributed work smoothly.

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  Some queries 196541604
268103602 https://github.com/pydata/xarray/issues/1173#issuecomment-268103602 https://api.github.com/repos/pydata/xarray/issues/1173 MDEyOklzc3VlQ29tbWVudDI2ODEwMzYwMg== shoyer 1217238 2016-12-19T22:59:22Z 2016-12-19T22:59:22Z MEMBER

For (1), take a look at save_mfdataset for saving to multiple files.

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  Some queries 196541604

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