performance problem #7
Description
Hello,
I noticed a performance problem as soon as the schema contains the following structure:
... "anyOf": [ {"enum": ["aa", "bb", "cc"]}, {"pattern": "pattern1"}, {"pattern": "pattern2"}, {"pattern": "pattern3"}, ... ] ...
The performance can be massively improved by processing the schema beforehand. All enum values and patterns should be combined to a single pattern as shown in the example below:
... "anyOf": [ {"pattern": "^aa$|^bb$|^cc$|pattern1|pattern2|pattern3"} ] ...
Actually, you iteratively append the enum values and regex patterns to a single regex and compute for every iteration the intersection between the current pattern and ".*". This is very expensive and results in bad performance (for this specific kind of schema).
I added an example json file (anyOf.json) that shows the problem. anyOf.json takes on my machine about 50-60 seconds for the result (LHS :< RHS and RHS :< LHS) when checking the file against itself (command jsonsubschema anyOf.json anyOf.json). Applying preprocessing, it takes about 0.04 seconds. I also attached a python script (smaller_anyOf.py) that contains the preprocessing. The script combines the string-enum-values and all patterns to a single pattern as shown in the example above.
By transforming the string-enum-values to a regex, special regex characters (e.g. ".", "-", ...) are escaped to get an identical expression as regex.
... "enum": ["ab-c"] ...
will be transformed to
... "pattern": "^ab\\-c$" ...
Be careful, this can currently lead to another problem - see #6 .
Best Regards
Michael