`skip_errors` parameter is impacting validate() performance

[pdelboca]

Overview

Adding skip_errors to the validate() function has a dramatic impact in the performance of the function:

The following is an output on some data I'm working on and it goes from 140ms to 60s when skipping errors:

In [12]: %time report = validate('./data/plans-barcelona-small.xlsx', skip_errors=['blank-row'])
CPU times: user 60 s, sys: 119 μs, total: 60 s
Wall time: 60 s

In [13]: %time report = validate('./data/plans-barcelona-small.xlsx')
CPU times: user 141 ms, sys: 12 μs, total: 141 ms
Wall time: 140 ms

In [14]: %time report = validate('./data/plans-barcelona-small.xlsx', skip_errors=['blank-row'])
CPU times: user 1min 2s, sys: 4 ms, total: 1min 2s
Wall time: 1min 2s

A small blank-rows.xlsx file can change from 100ms to 500ms by just skipping errors.

In [29]: %time report = validate('./data/blank-rows.xlsx', skip_errors=['blank-row'])
CPU times: user 590 ms, sys: 3.98 ms, total: 594 ms
Wall time: 593 ms

In [30]: %time report = validate('./data/blank-rows.xlsx')
CPU times: user 117 ms, sys: 5 μs, total: 117 ms
Wall time: 116 ms

[pierrecamilleri]

Can reproduce with blank-rows.xlsx, I observe similarly a performance 5x times worse with skip_errors=['blank-row']. Seems xlsx related as I can't reproduce with a csv file, even with many blank lines.

I hadn't had the time to investigate why but profiling gives row.errors() as the culprit (10 000 calls with skipped errors, instead of 1000 without), despite it being a @cached_property. Not sure how this may be related with xlsx vs csv, need to look further.

(note for myself : check if there is some copy involved which may invalidate the cache).

[pierrecamilleri]

The difference on blank-row.xlsx is actually that the run with the checks stops because of an error limit, and does not check all >10k lines. With the blank-row check ignored, the error limit is never reached so all 10k lines are processed.

It's likely to be the same for your plans-barcelona-small.xlsx. You can test it at the command line :

frictionless validate blank-rows.xlsx --json --skip-errors blank-row | grep '"rows"'
        "rows": 10019