[sqlalchemy] How do you get the underlying sql (without executing it) from a Statement or a compiled_statement?

2007-04-30 Thread vinjvinj

Is there any way to have sqlalchemy return the sql that it is going to
execute without actually executing it? I'm using the statement class.

Vineet


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[sqlalchemy] Re: How do you get the underlying sql (without executing it) from a Statement or a compiled_statement?

2007-04-30 Thread vinjvinj

When I print the statement it just prints the query with placeholders
for the paramters (and not the actual parameters). I would like to get
the actual sql that it is going to execute.

Vineet



On Apr 30, 10:36 am, Gaetan de Menten [EMAIL PROTECTED] wrote:
 Just use
 print your_statement_variable

 Or, if you need it in a variable: str(your_statement_variable) should
 do the trick.

 On 4/30/07, vinjvinj [EMAIL PROTECTED] wrote:



  Is there any way to have sqlalchemy return the sql that it is going to
  execute without actually executing it? I'm using the statement class.

  Vineet

 --
 Gaëtan de Mentenhttp://openhex.org


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[sqlalchemy] Re: Data from mysql db not returned by query

2007-04-12 Thread vinjvinj

 each query, or just returning it to the connection pool via close()
 (which also calls rollback()) and then re-acquiring it from the pool
 as needed.

I have a wrapper function called execute() whcih traps any errors and
then recreates the mysql engine object and tries to resubmit the qry:

def initialize_connection():
mysql.db = create_engine('mysql://%s:[EMAIL PROTECTED]/%s' % 
(config.DB_USER,
config.DB_PASS, config.DB_HOST, config.DB_NAME))
mysql.conn = mysql.db.connect()

initialize_connection()

def execute(qry):
try:
_rows = mysql.conn.execute(qry)
except:
initialize_connection()
_rows = mysql.conn.execute(qry)
rows = []
for i, row in enumerate(_rows):
row_dict = attrdict()
if i == 0:
column_headers = row.keys()
for key in column_headers:
row_dict[key] = getattr(row, key)
rows.append(row_dict)
return rows

Should I add:

mysql.conn = mysql.db.connect()
mysq.close()

at the beginning and end of the function?

I convert the result set to a list of dicts since I get not compress
and pickle the objects being returned by sqlalchemy.

Thanks,

Vineet



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[sqlalchemy] Re: Data from mysql db not returned by query

2007-04-12 Thread vinjvinj

   conn = mysql.db.connect()

 do stuff with conn

 conn.close()


Thanks. That fixed the problem. Is sqlalchemy using a connection pool
when I do this or is a new connection opened and closed each time?

Vineet


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[sqlalchemy] Re: How would you build a mapper with a calculated field based on a join from two tables

2007-04-05 Thread vinjvinj

 a = user_table()
 a.a_column_in_user_table_1  + a.additional_info.your_column


My logic is not as simple as (a.a_column_in_user_table_1  +
a.additional_info.your_column). It's about 20 lines of code. Also I'm
trying to understand how you would add additional attributes to a
python User object which is set up by the sqlalchemy mysql object.

Vineet


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[sqlalchemy] How would you build a mapper with a calculated field based on a join from two tables

2007-04-04 Thread vinjvinj

Say I have a python class defined:

def class User(object):
get_calculated_field(self):
return self.a_column_in_user_table_1  +
self.a_column_in_additional_info

user_table = Table('user_table', metadata, autoload=True)
additional_info = Table('additional_info', metadata, autoload=True)

Now I need to do the following:

1. Add an additional read only attribute to the User object which is
calculated from columns on the user_table and additional_info table

2. Be able to generate a join between a user_table and additional_info
table and then for each row that is returned by the db, have the User
object add calculated_field as a read only attribute (by calling the
function get_calculated_field)

Thanks,

Vineet


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[sqlalchemy] Best practices for database connection errors

2007-03-15 Thread vinjvinj

Hi,

In my application I'm working with three different databases.

Case 1:
For 2 databases I'm using the connection object directly execute sql
and

Case 2:
In  the 3rd database I'm using the statement object and then doing the
statement.execute, where the db is implicitly associated with the
statement through the columns.

What is the best way to handle database connection errors in both the
cases above. Ideally you would want the database layer to recreate the
connection and then try to execute the statement again.

Thanks,

Vineet


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[sqlalchemy] Re: Best practices for database connection errors

2007-03-15 Thread vinjvinj


 throw consistent errors at consistent points of execution.  if you
 think your database was stopped and is now re-started, you can call
 invalidate() on an individual connection and then close() it for it
 to be replaced in the pool, or more likely you can call dispose() on
 your engine and it will load up a new connection pool upon the next
 usage.

So where should I put this logic. In the past I would have created
wrappers around the db.execute command and in that I would have
checked if there were any errors. If there were any errors I would try
to see if there were any connection related errors and then try to
reconect and then resubmit the sql statement.

However, I'm a little confused on how I would do this with sql
alchemy. More sepcifically with all the introspection that goes on.
For instance for one of my connections I do the following:

metadata = BoundMetaData(mysqlDb.mysql_db)
view1= sqlalchemy.Table('view1', db.metadata, autoload=True)

So would I do the following:

connect_to_db():
   [recreate the mysqlDb engine]
   metadata = BoundMetaData(mysqlDb.mysql_db)
   view1= sqlalchemy.Table('view1', db.metadata, autoload=True)

execute_statement(statement):
   try:
   statement.execute()
   except: [check for connection related errors]
connect_to_db
   statement.execute()

Or,

I'm assuming the above is not enough, because all the other views
would be invalidated as well.


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[sqlalchemy] Re: Cannot connect to Oracle DB: AttributeError: 'module' object has no attribute 'NCLOB'

2007-03-07 Thread vinjvinj

Thanks that solved the problem.

Vineet


On Mar 6, 6:34 pm, Michael Bayer [EMAIL PROTECTED] wrote:
 old bug, upgrade to sqlalchemy 0.3.5

 On Mar 6, 2007, at 5:51 PM, vinjvinj wrote:



  I get the following error:

File build\bdist.win32\egg\sqlalchemy\engine\base.py, line 266, in
  execute
File build\bdist.win32\egg\sqlalchemy\engine\base.py, line 271, in
  execute_t
  ext
File build\bdist.win32\egg\sqlalchemy\databases\oracle.py, line
  326, in crea
  te_result_proxy_args
  AttributeError: 'module' object has no attribute 'NCLOB'

  When I try to connect to the oracle DB. I have cx_oracle module
  installed. Any ideas what I'm doing wrong.

  Thanks,

  VJ


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[sqlalchemy] MS Sql Server: Cannot create new connection because in manual or distributed

2007-03-07 Thread vinjvinj

My first query works but the second query gets this error. I'm using
the db_conn.execute function to execute direct sql. I also tried to
create a session object and explicitly create a transaction and commit
the transaction thinking that might solve the problem. However, that
did not fix the problem.

VJ

Exception:

adoRetVal=self.cmd.Execute()
   File COMObject ADODB.Command, line 3, in Execute
   File C:\Python24\Lib\site-packages\win32com\client\dynamic.py,
line 258, in
 _ApplyTypes_
result = self._oleobj_.InvokeTypes(*(dispid, LCID, wFlags,
retType, argTypes
) + args)
 com_error: (-2147352567, 'Exception occurred.', (0, 'Microsoft OLE DB
Provider
for SQL Server', 'Cannot create new connection because in manual or
distributed
transaction mode.', None, 0, -2147467259), None)


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[sqlalchemy] Re: MS Sql Server: Cannot create new connection because in manual or distributed

2007-03-07 Thread vinjvinj

This link explains the problem:

http://support.microsoft.com/default.aspx?scid=kb;en-us;272358

Unfortunately, I'm not sure what the solution is. I've already tried
to create a transaction in a session.

VJ

On Mar 7, 2:05 pm, vinjvinj [EMAIL PROTECTED] wrote:
 My first query works but the second query gets this error. I'm using
 the db_conn.execute function to execute direct sql. I also tried to
 create a session object and explicitly create a transaction and commit
 the transaction thinking that might solve the problem. However, that
 did not fix the problem.

 VJ

 Exception:

 adoRetVal=self.cmd.Execute()
File COMObject ADODB.Command, line 3, in Execute
File C:\Python24\Lib\site-packages\win32com\client\dynamic.py,
 line 258, in
  _ApplyTypes_
 result = self._oleobj_.InvokeTypes(*(dispid, LCID, wFlags,
 retType, argTypes
 ) + args)
  com_error: (-2147352567, 'Exception occurred.', (0, 'Microsoft OLE DB
 Provider
 for SQL Server', 'Cannot create new connection because in manual or
 distributed
 transaction mode.', None, 0, -2147467259), None)


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[sqlalchemy] Re: MS Sql Server: Cannot create new connection because in manual or distributed

2007-03-07 Thread vinjvinj

I figured the problem out:

I was doing the following:

rows_from_sql1 = db_conn.execute(select1)
rows_from_sql2 = db_conn.execute(select2)

You can't do the above since rows_from_sql1 is an iterator. You have
to iterate through all the rows before you can execute the second
query.

I can potentially see certain situations where you would have to be
able to execute two queries before you iterate through them all. Are
there any work around this?

Thanks,

VJ

On Mar 7, 4:05 pm, Rick Morrison [EMAIL PROTECTED] wrote:
 This is an ADODBAPI /OLEDB  issue. Solution is to either use client-side
 cursor for the first query, or to fetch all the results from the first query
 before issuing another one on another connection.

 Just so you know, there are others working on pyodbc for the MSSQL SA
 module, which I think (and hope) is not subject to this problem. Neither is
 pymssql.

 Rick

 On 3/7/07, vinjvinj [EMAIL PROTECTED] wrote:



  This link explains the problem:

 http://support.microsoft.com/default.aspx?scid=kb;en-us;272358

  Unfortunately, I'm not sure what the solution is. I've already tried
  to create a transaction in a session.

  VJ

  On Mar 7, 2:05 pm, vinjvinj [EMAIL PROTECTED] wrote:
   My first query works but the second query gets this error. I'm using
   the db_conn.execute function to execute direct sql. I also tried to
   create a session object and explicitly create a transaction and commit
   the transaction thinking that might solve the problem. However, that
   did not fix the problem.

   VJ

   Exception:

   adoRetVal=self.cmd.Execute()
  File COMObject ADODB.Command, line 3, in Execute
  File C:\Python24\Lib\site-packages\win32com\client\dynamic.py,
   line 258, in
_ApplyTypes_
   result = self._oleobj_.InvokeTypes(*(dispid, LCID, wFlags,
   retType, argTypes
   ) + args)
com_error: (-2147352567, 'Exception occurred.', (0, 'Microsoft OLE DB
   Provider
   for SQL Server', 'Cannot create new connection because in manual or
   distributed
   transaction mode.', None, 0, -2147467259), None)


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[sqlalchemy] Can we include this new url traversal with cherrypy?

2007-02-28 Thread vinjvinj

There was a post about a new url traversal implemented in turbogears
on top of cherrypy (with ideas being borrowed from Nevow):

https://projects.isotoma.com/tgnewtraversal

Looks very cool indeed. Is there any way to integrate this with the
cherrypy distribution?

Vineet


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[sqlalchemy] Re: How do I get columns in sqlalchemy group by function

2007-02-28 Thread vinjvinj

Thanks.

On Feb 27, 11:20 am, Jonathan Ellis [EMAIL PROTECTED] wrote:
 group_by_column.clauses[0] is the object you passed to func.sum

 On 2/27/07, vinjvinj [EMAIL PROTECTED] wrote:



  I have the following columns in some of my select columns:

  group_by_column = sqlalchemy.func.sum(column1)

  How do I get column1 from the group_by_column object (In other words
  is there any way to find out what columns the function is going to be
  applied to?). I did a dir(group_by_column) and saw that it had a field
  called columns, but that did not have the values I was looking for.

  Thanks,

  VJ


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[sqlalchemy] How do I get columns in sqlalchemy group by function

2007-02-27 Thread vinjvinj

I have the following columns in some of my select columns:

group_by_column = sqlalchemy.func.sum(column1)

How do I get column1 from the group_by_column object (In other words
is there any way to find out what columns the function is going to be
applied to?). I did a dir(group_by_column) and saw that it had a field
called columns, but that did not have the values I was looking for.

Thanks,

VJ


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[sqlalchemy] Get error: 'list' object has no attribute 'accept_visitor'

2007-02-20 Thread vinjvinj

I'm getting the following error when I build the select clause.

select_columns = [table.c.col1, table.c.col2]

statement = table.select(select_columns)
  File build\bdist.win32\egg\sqlalchemy\sql.py, line 1351, in select
  File build\bdist.win32\egg\sqlalchemy\sql.py, line 65, in select
  File build\bdist.win32\egg\sqlalchemy\sql.py, line 1503, in
__init__
  File build\bdist.win32\egg\sqlalchemy\sql.py, line 1575, in
append_whereclause
  File build\bdist.win32\egg\sqlalchemy\sql.py, line 1581, in
_append_condition
AttributeError: 'list' object has no attribute 'accept_visitor'

Any idea what this means?

VJ


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[sqlalchemy] Re: Get error: 'list' object has no attribute 'accept_visitor'

2007-02-20 Thread vinjvinj

Ok. I need to do the following:

select col1, col2, sum(col3), sum(col4) where col1 = test group by
col1, col2

Q1: How do I add sum functions in the column list
Q2: Do I add group_by using the group_by parameter on the
sqlalchemy.select call
Q3: Do I add where conditions to the select using
statement.append_whereclause

So from what you are saying I would do the following:

select_columns = [table.c.col1, table.c.col2]
statement = sqlalchemy.select(select_columns, group_by=select_columns)
statement.append_whereclause(table.c.col1 == test)
res = statement.execute().fetchall()

Thanks,

VJ




On Feb 20, 10:18 am, Sébastien LELONG [EMAIL PROTECTED]
securities.fr wrote:
  select_columns = [table.c.col1, table.c.col2]

  statement = table.select(select_columns)

 You probably want to:

 select_columns = [table.c.col1, table.c.col2]
 statement = sqlalchemy.select(select_columns)
 res = statement.execute().fetchall() # or the like...

 The table.select form you try to get working is used to specify eg. where
 clauses, not to specify which columns to get.

 --
 Sébastien LELONG
 sebastien.lelong[at]sirloon.net

 On Tuesday 20 February 2007 16:10, vinjvinj wrote:

  I'm getting the following error when I build the select clause.

  select_columns = [table.c.col1, table.c.col2]

  statement = table.select(select_columns)
File build\bdist.win32\egg\sqlalchemy\sql.py, line 1351, in select
File build\bdist.win32\egg\sqlalchemy\sql.py, line 65, in select
File build\bdist.win32\egg\sqlalchemy\sql.py, line 1503, in
  __init__
File build\bdist.win32\egg\sqlalchemy\sql.py, line 1575, in
  append_whereclause
File build\bdist.win32\egg\sqlalchemy\sql.py, line 1581, in
  _append_condition
  AttributeError: 'list' object has no attribute 'accept_visitor'

  Any idea what this means?

  VJ


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[sqlalchemy] Re: Support for SQL views?

2007-02-17 Thread vinjvinj

Views as normal tables work with mysql.

 view as a table (using autoload). The application I currently work on


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[sqlalchemy] Is there any way to call a python function for primary key generation

2007-02-13 Thread vinjvinj

I use the mx.UID package to generate all my keys. Is there any way to
specify that this function be called to generate the primary key for
inserts?

Thanks,

VJ


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[sqlalchemy] Re: Is there any way to call a python function for primary key generation

2007-02-13 Thread vinjvinj

Found the answer:

# a function to create primary key ids
i = 0
def mydefault():
global i
i += 1
return i

t = Table(mytable, meta,
# function-based default
Column('id', Integer, primary_key=True, default=mydefault),

# a scalar default
Column('key', String(10), default=default)
)

Thanks,

VJ

On Feb 13, 1:18 pm, vinjvinj [EMAIL PROTECTED] wrote:
 I use the mx.UID package to generate all my keys. Is there any way to
 specify that this function be called to generate the primary key for
 inserts?

 Thanks,

 VJ

On Feb 13, 1:18 pm, vinjvinj [EMAIL PROTECTED] wrote:
 I use the mx.UID package to generate all my keys. Is there any way to
 specify that this function be called to generate the primary key for
 inserts?

 Thanks,

 VJ


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[sqlalchemy] Re: Is there any way to call a python function for primary key generation

2007-02-13 Thread vinjvinj

 This counter is going to start over every time you run your program. The
 second time you run it, it's going to start creating IDs that already exist,

You missed my first post, which stated:

I use the mx.UID package to generate all my keys. Is there any way to
specify that this function be called to generate the primary key for
inserts?

I just needed to know how to call UID on inserts.

Thanks,

VJ


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[sqlalchemy] Re: Is there any way to call a python function for primary key generation

2007-02-13 Thread vinjvinj

Nice thing about using mx.UID package is that it is portable between
database. The UID that is generated has a portion that is derived from
the machine and time, so it is always going to be unique.


On Feb 13, 8:52 pm, Sean Davis [EMAIL PROTECTED] wrote:
 On 2/13/07, vinjvinj [EMAIL PROTECTED] wrote:



  I use the mx.UID package to generate all my keys. Is there any way to
  specify that this function be called to generate the primary key for
  inserts?

  Thanks,

 Could this not be done on the database side (depends on the RDBMS)?

 Sean


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