I am working on a little project using pysqlite. It's going to be
exposed on the web, so I want to make sure I quote all incoming data
correctly. However, I've run into a brick wall trying to use parameters
to populate a query of the form "select * where col1 in ( ? )"
The naive approach doesn't work:
values=['foo', 'bar', 'baz']
sql = """select * where value in (?)"""
cu = cx.cursor()
cu.execute(sql, (values))
The code blows up because the cursor is expecting 1 arg and gets 3. I
tried joining the array members with a comma, and that didn't work.
I've also tried the equivalent with the named style, which pysqlite
also supports, but that didn't work either.
I can't find any documentation that demonstrates this kind of query.
Is there a way to do this? It seems a bit odd not to have a way to
escape this kind of query. 4 2328
saniac wrote:
I am working on a little project using pysqlite. It's going to be
exposed on the web, so I want to make sure I quote all incoming data
correctly. However, I've run into a brick wall trying to use parameters
to populate a query of the form "select * where col1 in ( ? )"
The naive approach doesn't work:
values=['foo', 'bar', 'baz']
sql = """select * where value in (?)"""
cu = cx.cursor()
cu.execute(sql, (values))
The code blows up because the cursor is expecting 1 arg and gets 3. I
tried joining the array members with a comma, and that didn't work.
I've also tried the equivalent with the named style, which pysqlite
also supports, but that didn't work either.
I can't find any documentation that demonstrates this kind of query.
Is there a way to do this? It seems a bit odd not to have a way to
escape this kind of query.
Well, you could try using a tuple whose single element is that
three-element tuple with your list if values:
cu.execute(sql, (values, ))
which I repsume is shat you really meant to do. Note, though, that not
all DB API modules will accept lists and/or tuples as data elements of
that kind, so you may be disappointed.
regards
Steve
--
Steve Holden +44 150 684 7255 +1 800 494 3119
Holden Web LLC/Ltd http://www.holdenweb.com
Skype: holdenweb http://holdenweb.blogspot.com
Recent Ramblings http://del.icio.us/steve.holden
saniac wrote:
I am working on a little project using pysqlite. It's going to be
exposed on the web, so I want to make sure I quote all incoming data
correctly. However, I've run into a brick wall trying to use parameters
to populate a query of the form "select * where col1 in ( ? )"
The naive approach doesn't work:
values=['foo', 'bar', 'baz']
sql = """select * where value in (?)"""
cu = cx.cursor()
cu.execute(sql, (values))
The code blows up because the cursor is expecting 1 arg and gets 3.
I assume you mean 'select * from table where...'
Try this -
values=['foo', 'bar', 'baz']
sql = """select * from table where value in (?,?,?)"""
cu = cx.cursor()
cu.execute(sql, values)
It works with odbc from pywin32. I have not tried pysqlite.
If you want it to handle a variable number of values, you will have to
programmaticall y construct the sql statement with the appropriate
number of parameters.
HTH
Frank Millman
Frank Millman schrieb:
If you want it to handle a variable number of values, you will have to
programmaticall y construct the sql statement with the appropriate
number of parameters.
>>vals = (1,2,3,4,5) sql = "select * from table where value in ("+','.join("?" *len(vals))+")" print sql
'select * from table where value in (?,?,?,?,?)'
cheers
Paul
paul wrote:
Frank Millman schrieb:
If you want it to handle a variable number of values, you will have to
programmaticall y construct the sql statement with the appropriate
number of parameters.
Yes, I should have made it clear it was the variable part that was
hard.
>vals = (1,2,3,4,5) sql = "select * from table where value in ("+','.join("?" *len(vals))+")" print sql
'select * from table where value in (?,?,?,?,?)'
Argh, I have a scripting language and I'm not building up strings
dynamically? What an idiot.
Thanks, that's just what I needed. This thread has been closed and replies have been disabled. Please start a new discussion. Similar topics |
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