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The code uses a data set in couchbase that is retrieved by this query
SELECT url,
mtime
FROM `vxdata`._default.METAR
WHERE subset = 'METAR'
AND type = 'DF'
AND fileType = 'grib2'
AND originType = 'model'
and model = 'HRRR_OPS'
AND url IS NOT MISSING
AND mtime IS NOT MISSING
order by url;
and this is turning out to be very inefficient. It showed up as a big difference in the capella evaluation tests. There is a document for each file that gets processed, essentially, and that is just too many documents. It should probably be an array of files for a kind of ingest or something.
The text was updated successfully, but these errors were encountered:
The code uses a data set in couchbase that is retrieved by this query
and this is turning out to be very inefficient. It showed up as a big difference in the capella evaluation tests. There is a document for each file that gets processed, essentially, and that is just too many documents. It should probably be an array of files for a kind of ingest or something.
The text was updated successfully, but these errors were encountered: