I want to iterate over all the rows in a time series, partitioned kdb database and perform some calculation at each step. In SQL this could be done with a cursor. Is there something similar in kdb?
Some background: the database consist of several million time series records and I need to maintain a state for a number of objects as I progress through the rows. There are a few 'if' statements I need to run at each step. I thought to integrate my calculation in a query, but because of the number of tests I have to perform I think a cursor or something like a row callback would be more appropriate. What's the most efficient solution to run custom code while "replaying" the database?
Tables in q behave much like lists of dictionaries. So if t is a table, t[0] would be a dictionary mapping column names to the first row of values, t[1] would be the second row, and so on. So in effect your cursor is just an index and progressing the cursor is just incrementing the index.
q)t:([]c1:1 2 3;c2:`a`b`c);
q)show t[0];
c1| 1
c2| `a
q)show t[1];
c1| 2
c2| `b
On the other hand, probably the more idiomatic way to apply an operation to a list element-wise is with the each operator:
q)f:{show x};
q)f each t;
c1| 1
c2| `a
c1| 2
c2| `b
c1| 3
c2| `c
来源：https://stackoverflow.com/questions/16803232/how-to-create-a-cursor-in-kdb