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performance optimisation in hash merge logic

rewrite deepcopy in util.merge_hash and just iterate
on an inventory with 500 groups and 800 hosts this brings back the
inventory initialisation from 13s to 3s (with hash_behaviour=merge)
This commit is contained in:
Serge van Ginderachter 2014-03-25 21:59:13 +01:00
parent d4634983f0
commit b0ff1ea425

View file

@ -558,18 +558,19 @@ def merge_hash(a, b):
''' recursively merges hash b into a
keys from b take precedence over keys from a '''
result = copy.deepcopy(a)
result = {}
# next, iterate over b keys and values
for k, v in b.iteritems():
# if there's already such key in a
# and that key contains dict
if k in result and isinstance(result[k], dict):
# merge those dicts recursively
result[k] = merge_hash(a[k], v)
else:
# otherwise, just copy a value from b to a
result[k] = v
for dicts in a, b:
# next, iterate over b keys and values
for k, v in dicts.iteritems():
# if there's already such key in a
# and that key contains dict
if k in result and isinstance(result[k], dict):
# merge those dicts recursively
result[k] = merge_hash(a[k], v)
else:
# otherwise, just copy a value from b to a
result[k] = v
return result