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Replace zarr with parquet #432
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Update the test fixtures in the routes integration tests to write out a Parquet file instead of a Zarr so that we can switch over to using Parquet for all of our diag data.
If we're not using Zarr, we won't encounter a missing group. So this message will just be a file not found error.
I don't think these are relevant anymore. We don't need to distinguish between a missing file and missing group, now that we're not using Zarr. And I don't think the unreadable file is handled the same way.
Eliminate all of the code that read from Zarr files for diagnostic data and switch over to reading the data from the Parquet files we already keep for the time series data.
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Using groupby and looping over each group was horrible for performance, so I've worked out a way to apply the filters to a single DataFrame regardless of whether the variable is a vector or scalar.
Moving the is_used filter to the Parquet loading is significantly improving performance for me locally when loading the wind data. Ideally, I think it would be good to let PyArrow do all of the filtering, so that may be worth looking into. I had to update the test data in a number of cases to ensure that the is_used flag is a bool, not an int.
For some reason my test data in development has its index ordered (component, nobs) instead of (nobs, component). Not sure if this is indicative of a bug somewhere in our ETL code, or if I messed something up generating this data. Regardless, being specific like this will work no matter what, so I think we should be ok with this for now.
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It looks like I’ve been able to work out all of the performance problems by eliminating all of the loops in our filtering logic. I think we can proceed with eliminating Zarr for the diag data. |
ian-noaa
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Nov 27, 2023
Ian pointed out that this is a bit hard to follow, so I've added comments and docstrings to help describe what this function is for.
Minimum allowed line rate is |
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Replace the code that reads diag data from Zarr files with a view that reads the data from the Parquet files.