>From my tests, I am seeing that a CF that has less than 100 columns but millions of rows has a much lower latency to read a column in a row than a CF that has only a few thousands of rows but wide rows with each having 20K columns.
Example: cf1 has 6 Million rows and each row has about 100 columns. t1 = time.time() cf1.get(1234,column_count=1) t2 = time.time() - t1 print int(t2*1000) takes 3 ms cf2 has 5K rows and each row has about 18K columns. t1 = time.time() cf2.get(1234,column_count=1) t2 = time.time() - t1 print int(t2*1000) takes 82ms Anything in general on the Cassandra architecture that causes row lookup to be much faster than column lookup ? Thanks.
