Hi, I have a table in MySql DB which I want to load it to a dictionary in python. the table columns is as follows:

id,url,tag,tagCount

tagCount is the number of times that a tag has been repeated for a certain url. So in that case I need a nested dictionary, in other words a dictionary of dictionary, to load this table. Because each url have several tags for which there are different tagCounts.the code that I used is this:( the whole table is about 22,000 records )

cursor.execute( ''' SELECT url,tag,tagCount
                    FROM wtp ''')

urlTagCount = cursor.fetchall()

d = defaultdict(defaultdict)

for url,tag,tagCount in urlTagCount:
    d[url][tag]=tagCount

print d

first of all I want to know if this is correct.. and if it is why it takes so much time? Is there any faster solutions? I am loading this table into memory to have fast access to get rid of the hassle of slow database operations, but with this slow speed it has become a bottleneck itself, it is even much slower than DB access. and anyone help? thanks