I have the following data in a vertica db, Mytable
:
+----+-------+
| ID | Value |
+----+-------+
| A | 5 |
| B | 9 |
| C | 10 |
| D | 7 |
+----+-------+
I am trying to create a query in python to access a vertica data base. In python I have a list:
ID_list= ['A', 'C']
I would like to create a query that basically inner joins Mytable
with the ID_list
and then I could make a WHERE
query. So it will be basically something like this
SELECT *
FROM Mytable
INNER JOIN ID_list
ON Mytable.ID = ID_list as temp_table
WHERE Value = 5
I don't have writing rights on the data base, so the table needs to be created localy. Or is there an alternative way of doing this?
If you have a small table, then you can do as Tim suggested and create an in-list.
I kind of prefer to do this using python ways, though. I would probably also make ID_list a set
as well to keep from having dups, etc.
in_list = '(%s)' % ','.join(str(id) for id in ID_list)
or better use bind variables (depends on the client you are using, and probably not strictly necessary if you are dealing with a set of ints since I can't imagine a way to inject sql with that):
in_list = '(%s)' % ','.join(['%d'] * len(ID_list)
and send in your ID_list as a parameter list for your cursor.execute
. This method is positional, so you'll need to arrange your bind parameters correctly.
If you have a very, very large list... you could create a local temp and load it before doing your query with join.
CREATE LOCAL TEMP TABLE mytable ( id INTEGER );
COPY mytable FROM STDIN;
-- Or however you need to load the data. Using python, you'll probably need to stream in a list using `cursor.copy`
Then join to mytable.
I wouldn't bother doing the latter with a very small number of rows, too much overhead.
So I used the approach from Tim:
# create a String of all the ID_list so they can be inserted into a SQL query
Sql_string='(';
for ss in ID_list:
Sql_string= Sql_string + " " + str(ss) + ","
Sql_string=Sql_string[:-1] + ")"
"SELECT * FROM
(SELECT * FROM Mytable WHERE ID IN " + Sql_string) as temp
Where Value = 5"
works surprisingly fast
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