[sqlalchemy] Re: PickleType too small
I have tried simple examples with PickleType and modified MyPickle (as suggested) and it works just fine. But, when I try it my segment of code, where I read row in a simple way and than put it in another structure, it didn't wanted to work (like unpickling wasn't working at all). So I did explicit pickling and unpickling of my data and everything works now. --~--~-~--~~~---~--~~ You received this message because you are subscribed to the Google Groups sqlalchemy group. To post to this group, send email to sqlalchemy@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en -~--~~~~--~~--~--~---
[sqlalchemy] Re: PickleType too small
Now that I have succeeded to write in my Pickle type into a database I have another problem. When I read it from the database how do I convert it to my original data (since I get pickle-file-like data after reading a row)? --~--~-~--~~~---~--~~ You received this message because you are subscribed to the Google Groups sqlalchemy group. To post to this group, send email to sqlalchemy@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en -~--~~~~--~~--~--~---
[sqlalchemy] Re: PickleType too small
I have tried adding max_allowed_packet=16M to my.ini under [mysqld] but it didn't work. As far as I have seen BLOB type is used when mapping PickleType to MySQL. I would like to use LONGBLOB, so I did: class MyPickle(PickleType): impl = mysql.MSLongBlob and Column('data',MyPickle()) in a table specification, but I got error message: AttributeError: 'module' object has no attribute 'MSLongBlob'. Any further suggestions? --~--~-~--~~~---~--~~ You received this message because you are subscribed to the Google Groups sqlalchemy group. To post to this group, send email to sqlalchemy@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en -~--~~~~--~~--~--~---
[sqlalchemy] Re: count(*) function
It worked. Thanks! On Jan 15, 11:37 am, Marco Mariani [EMAIL PROTECTED] wrote: milenawrote: I have tried select([func.count(*)], from_obj=[table_name]).execute() but it didn't workI suppore you're not using mappers, so this is the fastest method: number_of_rows = table.count().execute().fetchone()[0] where table is the table object --~--~-~--~~~---~--~~ You received this message because you are subscribed to the Google Groups sqlalchemy group. To post to this group, send email to sqlalchemy@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en -~--~~~~--~~--~--~---
[sqlalchemy] PickleType too small
Hi, I am having trouble with PickleType used as column type (Column('data',MyPickle)). I want to store a dictionary data type into a database (mySQL), but the dictionary is to big. Can anyone tell me how to enlarge PickleType so that it can hold up all my data. Thanks in advance! --~--~-~--~~~---~--~~ You received this message because you are subscribed to the Google Groups sqlalchemy group. To post to this group, send email to sqlalchemy@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en -~--~~~~--~~--~--~---
[sqlalchemy] count(*) function
Hi, does anyone know the syntax of SELECT COUNT(*) FROM table_name; for SQLAlchemy? Is there a list of functions (used in SELECT statement) that exist in SQL that I can use in SQLAlchemy? btw, I am using MySQL. I need to see if my table is empty (isemty function doesn't work). Thanks! --~--~-~--~~~---~--~~ You received this message because you are subscribed to the Google Groups sqlalchemy group. To post to this group, send email to sqlalchemy@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sqlalchemy?hl=en -~--~~~~--~~--~--~---