Python compare dictionary to dictionary of conditions

I have an iterator (millions of rows) that gives me a dictionary that need to be compared against a dictionary of conditions to find matches.

Here is my code:

conditions={"port":"0-20", "ip":"1.2.3.4", "protocol":"1,7",
            "timestamp":">143990000", "server":"mario"}

for rec in imiterator(): # Very large number of rows
    # rec examples {"ip":"1.7.1.1", "timestamp":1434000,
    #              "port":129,"server":("mario","bruno"), 
    #              "protocol":"1","port":19"}

    if check_conditions(rec, conditions):
       print(json.dumps(rec))

Note the columns in rec can be int, long, string, tuple.

I need to find a real high performance way to do the matches. Any ideas?

I thought about using map and converting the conditions to lambda functions that should match and doing an AND operation of all the conditions. Would this be faster?

via Chebli Mohamed