yeah, I ran into some 'nice' 'features' in this project.
the azure datawarehouse does not behave or work like a typical old-school
sql server.
There might be some potential there, just not sure how many projects would
be using the datawarehouse....
On Wednesday, September 13, 2017 at 3:33:20 PM UTC-7, Mike Bayer wrote:
>
> On Wed, Sep 13, 2017 at 6:13 PM, dirk.biesinger
> <dirk.bi...@gmail.com <javascript:>> wrote:
> > "oh that is very interesting." he says and then it's getting eerily
> quiet.
> > I guess Mike and Dilly are somewhere in the depth of code and docs...
>
>
> unfortunately not, azure seems to offer free trials if you are willing
> to give them a credit card number so I can perhaps eventually get
> around to working with that but at the moment it would be preferable
> if someone wants to work on an azure variant of the SQL Server
> dialect. It shouldn't be hard but the various glitches need to be
> understood for anything to be committed.
>
> >
> > On Wednesday, September 13, 2017 at 2:05:22 PM UTC-7, Mike Bayer wrote:
> >>
> >> On Wed, Sep 13, 2017 at 4:29 PM, dirk.biesinger
> >> <dirk.bi...@gmail.com> wrote:
> >> >
> >> > as for the rollback call,
> >> > adding it after the print command, does not change anything.
> >> > When I insert it between cursor.execute() and rows =
> cursor.fetchall(),
> >> > I
> >> > get an error as expected.
> >>
> >> oh that is very interesting.
> >>
> >>
> >> >
> >> >
> >> > On Wednesday, September 13, 2017 at 1:16:59 PM UTC-7, Mike Bayer
> wrote:
> >> >>
> >> >> On Wed, Sep 13, 2017 at 3:58 PM, dirk.biesinger
> >> >> <dirk.bi...@gmail.com> wrote:
> >> >> > using
> >> >> >
> >> >> > connection = pyodbc.connect(....)
> >> >> > connection.autocommit = 0
> >> >> > cursor = connection.cursor()
> >> >> > cursor.execute([proper sql statement that references a table])
> >> >> > rows = corsor.fetchall()
> >> >> > print(rows)
> >> >> > cursor.close()
> >> >> >
> >> >> > gives me the output out of the table that I expect.
> >> >> > So if you were wondering if a raw pyodbc connection works, this is
> >> >> > confirmed.
> >> >>
> >> >> did you call:
> >> >>
> >> >> connection.rollback()
> >> >>
> >> >> the stack traces you have given me indicate this method cannot be
> >> >> called else Azure raises an error. This must be illustrated as
> >> >> definitely the problem, and not a side effect of something else.
> >> >>
> >> >> This is why this would go a lot quicker if someone had a *blank*
> azure
> >> >> database on a cloud node somewhere for me to log into. I don't need
> >> >> your customer data.
> >> >>
> >> >>
> >> >>
> >> >>
> >> >>
> >> >>
> >> >> >
> >> >> > On Wednesday, September 13, 2017 at 12:49:33 PM UTC-7, Mike Bayer
> >> >> > wrote:
> >> >> >>
> >> >> >> On Wed, Sep 13, 2017 at 3:27 PM, dirk.biesinger
> >> >> >> <dirk.bi...@gmail.com> wrote:
> >> >> >> > I have the 'patched' pyodbc.py file active.
> >> >> >> > Executing your code snippet does NOT produce an error or any
> >> >> >> > output
> >> >> >> > for
> >> >> >> > that
> >> >> >> > matter.
> >> >> >> >
> >> >> >> >
> >> >> >> > On Wednesday, September 13, 2017 at 12:22:30 PM UTC-7, Mike
> Bayer
> >> >> >> > wrote:
> >> >> >> >>
> >> >> >> >> On Wed, Sep 13, 2017 at 3:14 PM, dirk.biesinger
> >> >> >> >> <dirk.bi...@gmail.com> wrote:
> >> >> >> >> > Got ya,
> >> >> >> >> >
> >> >> >> >> > so we could solve the issue on the sqlalchemy end with the
> >> >> >> >> > alteration
> >> >> >> >> > of
> >> >> >> >> > the
> >> >> >> >> > pyodbc.py file.
> >> >> >> >> > I assume you'll include this in the next release?
> >> >> >> >>
> >> >> >> >> um.
> >> >> >> >>
> >> >> >> >> can you just confirm for me this makes the error?
> >> >> >> >>
> >> >> >> >>
> >> >> >> >> connection = pyodbc.connect(....)
> >> >> >> >> connection.autocommit = 0
> >> >> >> >> connection.rollback()
> >> >> >>
> >> >> >>
> >> >> >> try it like this:
> >> >> >>
> >> >> >>
> >> >> >> connection = pyodbc.connect(....)
> >> >> >> connection.autocommit = 0
> >> >> >> cursor = connection.cursor()
> >> >> >> cursor.execute("SELECT 1")
> >> >> >> cursor.close()
> >> >> >>
> >> >> >> connection.rollback()
> >> >> >>
> >> >> >>
> >> >> >> >>
> >> >> >> >>
> >> >> >> >>
> >> >> >> >> > The issue with creating a table when the option
> >> >> >> >> > "if_exists='append'"
> >> >> >> >> > is
> >> >> >> >> > set
> >> >> >> >> > in the df.to_sql() call, is a pandas problem.
> >> >> >> >> >
> >> >> >> >> > Thank you for your help.
> >> >> >> >> >
> >> >> >> >> > Best,
> >> >> >> >> > DB
> >> >> >> >> >
> >> >> >> >> > On Wednesday, September 13, 2017 at 11:45:15 AM UTC-7, Mike
> >> >> >> >> > Bayer
> >> >> >> >> > wrote:
> >> >> >> >> >>
> >> >> >> >> >> On Wed, Sep 13, 2017 at 2:41 PM, dirk.biesinger
> >> >> >> >> >> <dirk.bi...@gmail.com> wrote:
> >> >> >> >> >> > I don't get why the table is getting created in the first
> >> >> >> >> >> > place. A
> >> >> >> >> >> > table
> >> >> >> >> >> > with this name exists, and the option
> "if_exists='append'"
> >> >> >> >> >> > should
> >> >> >> >> >> > append
> >> >> >> >> >> > the
> >> >> >> >> >> > dataframe to the existing table.
> >> >> >> >> >> > There should not be a dropping of the table (which I have
> >> >> >> >> >> > not
> >> >> >> >> >> > seen)
> >> >> >> >> >> > nor
> >> >> >> >> >> > creation of the table.
> >> >> >> >> >> >
> >> >> >> >> >> > And in case of creating the table, I think it should be
> >> >> >> >> >> > possible
> >> >> >> >> >> > to
> >> >> >> >> >> > define
> >> >> >> >> >> > the length of the field, so
> >> >> >> >> >> > varchar([variable_to_be_submitted]).
> >> >> >> >> >> > In my case I expect this particular table to grow to
> several
> >> >> >> >> >> > hundred
> >> >> >> >> >> > million
> >> >> >> >> >> > rows, so assigned storage space is a factor.
> >> >> >> >> >> >
> >> >> >> >> >> > the existing table was created like this:
> >> >> >> >> >> >
> >> >> >> >> >> > CREATE TABLE dbo.DSI
> >> >> >> >> >> > (
> >> >> >> >> >> > a datetime
> >> >> >> >> >> > b varchar(10) null,
> >> >> >> >> >> > c varchar(100) null,
> >> >> >> >> >> > d varchar(10) null,
> >> >> >> >> >> > e varchar(100) null,
> >> >> >> >> >> > f decimal (8,6) null,
> >> >> >> >> >> > g decimal (8,6) null
> >> >> >> >> >> > )
> >> >> >> >> >> >
> >> >> >> >> >> > If I read and understand the error stack correct, the
> cause
> >> >> >> >> >> > is
> >> >> >> >> >> > the
> >> >> >> >> >> > create
> >> >> >> >> >> > table statement, which I would very strongly hope to
> cause
> >> >> >> >> >> > an
> >> >> >> >> >> > error,
> >> >> >> >> >> > as
> >> >> >> >> >> > the
> >> >> >> >> >> > table exists.
> >> >> >> >> >> > Should the create table statement not be omitted if the
> >> >> >> >> >> > option
> >> >> >> >> >> > "if_exists='append'" option is set?
> >> >> >> >> >>
> >> >> >> >> >> This is all on the Pandas side so you'd need to talk to
> them.
> >> >> >> >> >>
> >> >> >> >> >>
> >> >> >> >> >> >
> >> >> >> >> >> > On Wednesday, September 13, 2017 at 11:15:27 AM UTC-7,
> Mike
> >> >> >> >> >> > Bayer
> >> >> >> >> >> > wrote:
> >> >> >> >> >> >>
> >> >> >> >> >> >> OK so....don't use VARCHAR(max)? What datatype would
> you
> >> >> >> >> >> >> like?
> >> >> >> >> >> >> We
> >> >> >> >> >> >> have most of them and you can make new ones too.
> >> >> >> >> >> >>
> >> >> >> >> >> >> On Wed, Sep 13, 2017 at 1:07 PM, dirk.biesinger
> >> >> >> >> >> >> <dirk.bi...@gmail.com> wrote:
> >> >> >> >> >> >> > Mike,
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > here's the error stack (I had to mask some details):
> >> >> >> >> >> >> > The columns (dataformats) in the create table
> statement
> >> >> >> >> >> >> > are
> >> >> >> >> >> >> > wrong.
> >> >> >> >> >> >> > Also,
> >> >> >> >> >> >> > this table does not have an index.
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > 2017-09-13 15:07:50,200 INFO
> >> >> >> >> >> >> > sqlalchemy.engine.base.Engine
> >> >> >> >> >> >> > SELECT
> >> >> >> >> >> >> > SERVERPROPERTY('ProductVersion')
> >> >> >> >> >> >> > 2017-09-13 15:07:50,202 INFO
> >> >> >> >> >> >> > sqlalchemy.engine.base.Engine
> >> >> >> >> >> >> > ()
> >> >> >> >> >> >> > 2017-09-13 15:07:50,246 INFO
> >> >> >> >> >> >> > sqlalchemy.engine.base.Engine
> >> >> >> >> >> >> > SELECT
> >> >> >> >> >> >> > schema_name()
> >> >> >> >> >> >> > 2017-09-13 15:07:50,247 INFO
> >> >> >> >> >> >> > sqlalchemy.engine.base.Engine
> >> >> >> >> >> >> > ()
> >> >> >> >> >> >> > 2017-09-13 15:07:50,522 INFO
> >> >> >> >> >> >> > sqlalchemy.engine.base.Engine
> >> >> >> >> >> >> > SELECT
> >> >> >> >> >> >> > CAST('test
> >> >> >> >> >> >> > plain returns' AS VARCHAR(60)) AS anon_1
> >> >> >> >> >> >> > 2017-09-13 15:07:50,522 INFO
> >> >> >> >> >> >> > sqlalchemy.engine.base.Engine
> >> >> >> >> >> >> > ()
> >> >> >> >> >> >> > 2017-09-13 15:07:50,562 INFO
> >> >> >> >> >> >> > sqlalchemy.engine.base.Engine
> >> >> >> >> >> >> > SELECT
> >> >> >> >> >> >> > CAST('test
> >> >> >> >> >> >> > unicode returns' AS NVARCHAR(60)) AS anon_1
> >> >> >> >> >> >> > 2017-09-13 15:07:50,563 INFO
> >> >> >> >> >> >> > sqlalchemy.engine.base.Engine
> >> >> >> >> >> >> > ()
> >> >> >> >> >> >> > 2017-09-13 15:07:50,604 INFO
> >> >> >> >> >> >> > sqlalchemy.engine.base.Engine
> >> >> >> >> >> >> > SELECT
> >> >> >> >> >> >> > [INFORMATION_SCHEMA].[COLUMNS].[TABLE_SCHEMA],
> >> >> >> >> >> >> > [INFORMATION_SCHEMA].[COLUMNS].[TABLE_NAME],
> >> >> >> >> >> >> > [INFORMATION_SCHEMA].[COLUMNS].[COLUMN_NAME],
> >> >> >> >> >> >> > [INFORMATION_SCHEMA].[COLUMNS].[IS_NULLABLE],
> >> >> >> >> >> >> > [INFORMATION_SCHEMA].[COLUMNS].[DATA_TYPE],
> >> >> >> >> >> >> > [INFORMATION_SCHEMA].[COLUMNS].[ORDINAL_POSITION],
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> [INFORMATION_SCHEMA].[COLUMNS].[CHARACTER_MAXIMUM_LENGTH],
> >> >> >> >> >> >> > [INFORMATION_SCHEMA].[COLUMNS].[NUMERIC_PRECISION],
> >> >> >> >> >> >> > [INFORMATION_SCHEMA].[COLUMNS].[NUMERIC_SCALE],
> >> >> >> >> >> >> > [INFORMATION_SCHEMA].[COLUMNS].[COLUMN_DEFAULT],
> >> >> >> >> >> >> > [INFORMATION_SCHEMA].[COLUMNS].[COLLATION_NAME]
> >> >> >> >> >> >> > FROM [INFORMATION_SCHEMA].[COLUMNS]
> >> >> >> >> >> >> > WHERE [INFORMATION_SCHEMA].[COLUMNS].[TABLE_NAME] =
> >> >> >> >> >> >> > CAST(?
> >> >> >> >> >> >> > AS
> >> >> >> >> >> >> > NVARCHAR(max))
> >> >> >> >> >> >> > AND [INFORMATION_SCHEMA].[COLUMNS].[TABLE_SCHEMA] =
> >> >> >> >> >> >> > CAST(?
> >> >> >> >> >> >> > AS
> >> >> >> >> >> >> > NVARCHAR(max))
> >> >> >> >> >> >> > 2017-09-13 15:07:50,605 INFO
> >> >> >> >> >> >> > sqlalchemy.engine.base.Engine
> >> >> >> >> >> >> > ('dbo.MSODS_DSI',
> >> >> >> >> >> >> > 'dbo')
> >> >> >> >> >> >> > 2017-09-13 15:07:52,151 INFO
> >> >> >> >> >> >> > sqlalchemy.engine.base.Engine
> >> >> >> >> >> >> > CREATE TABLE [dbo.MSODS_DSI] (
> >> >> >> >> >> >> > [a] DATETIME NULL,
> >> >> >> >> >> >> > [b] VARCHAR(max) NULL,
> >> >> >> >> >> >> > [c] VARCHAR(max) NULL,
> >> >> >> >> >> >> > [d] VARCHAR(max) NULL,
> >> >> >> >> >> >> > [e] VARCHAR(max) NULL,
> >> >> >> >> >> >> > [f] FLOAT(53) NULL,
> >> >> >> >> >> >> > [g] FLOAT(53) NULL
> >> >> >> >> >> >> > )
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > 2017-09-13 15:07:52,152 INFO
> >> >> >> >> >> >> > sqlalchemy.engine.base.Engine
> >> >> >> >> >> >> > ()
> >> >> >> >> >> >> > 2017-09-13 15:07:54,374 INFO
> >> >> >> >> >> >> > sqlalchemy.engine.base.Engine
> >> >> >> >> >> >> > ROLLBACK
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> ---------------------------------------------------------------------------
> >> >> >> >> >> >> > ProgrammingError Traceback
> (most
> >> >> >> >> >> >> > recent
> >> >> >> >> >> >> > call
> >> >> >> >> >> >> > last)
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/engine/base.py
>
> >> >> >> >> >> >> > in _execute_context(self, dialect, constructor,
> >> >> >> >> >> >> > statement,
> >> >> >> >> >> >> > parameters,
> >> >> >> >> >> >> > *args)
> >> >> >> >> >> >> > 1181 parameters,
> >> >> >> >> >> >> > -> 1182 context)
> >> >> >> >> >> >> > 1183 except BaseException as e:
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/engine/default.py
>
>
> >> >> >> >> >> >> > in do_execute(self, cursor, statement, parameters,
> >> >> >> >> >> >> > context)
> >> >> >> >> >> >> > 469 def do_execute(self, cursor, statement,
> >> >> >> >> >> >> > parameters,
> >> >> >> >> >> >> > context=None):
> >> >> >> >> >> >> > --> 470 cursor.execute(statement, parameters)
> >> >> >> >> >> >> > 471
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > ProgrammingError: ('42000', "[42000] [Microsoft][ODBC
> >> >> >> >> >> >> > Driver
> >> >> >> >> >> >> > 13
> >> >> >> >> >> >> > for
> >> >> >> >> >> >> > SQL
> >> >> >> >> >> >> > Server][SQL Server]The statement failed. Column 'b'
> has a
> >> >> >> >> >> >> > data
> >> >> >> >> >> >> > type
> >> >> >> >> >> >> > that
> >> >> >> >> >> >> > cannot participate in a columnstore
> index.\r\nOperation
> >> >> >> >> >> >> > cancelled
> >> >> >> >> >> >> > by
> >> >> >> >> >> >> > user.
> >> >> >> >> >> >> > (35343) (SQLExecDirectW)")
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > The above exception was the direct cause of the
> following
> >> >> >> >> >> >> > exception:
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > ProgrammingError Traceback
> (most
> >> >> >> >> >> >> > recent
> >> >> >> >> >> >> > call
> >> >> >> >> >> >> > last)
> >> >> >> >> >> >> > <ipython-input-16-290e9c1020c9> in <module>()
> >> >> >> >> >> >> > 17 #cnxn = pyodbc.connect(connection_str)
> >> >> >> >> >> >> > 18 #engn.connect()
> >> >> >> >> >> >> > ---> 19 df.to_sql(tbl_server_out, engn,
> >> >> >> >> >> >> > if_exists='append',
> >> >> >> >> >> >> > index=False)
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py
> >> >> >> >> >> >> > in to_sql(self, name, con, flavor, schema, if_exists,
> >> >> >> >> >> >> > index,
> >> >> >> >> >> >> > index_label,
> >> >> >> >> >> >> > chunksize, dtype)
> >> >> >> >> >> >> > 1343 sql.to_sql(self, name, con,
> >> >> >> >> >> >> > flavor=flavor,
> >> >> >> >> >> >> > schema=schema,
> >> >> >> >> >> >> > 1344 if_exists=if_exists,
> >> >> >> >> >> >> > index=index,
> >> >> >> >> >> >> > index_label=index_label,
> >> >> >> >> >> >> > -> 1345 chunksize=chunksize,
> >> >> >> >> >> >> > dtype=dtype)
> >> >> >> >> >> >> > 1346
> >> >> >> >> >> >> > 1347 def to_pickle(self, path,
> >> >> >> >> >> >> > compression='infer'):
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/pandas/io/sql.py
> >> >> >> >> >> >> > in
> >> >> >> >> >> >> > to_sql(frame, name, con, flavor, schema, if_exists,
> >> >> >> >> >> >> > index,
> >> >> >> >> >> >> > index_label,
> >> >> >> >> >> >> > chunksize, dtype)
> >> >> >> >> >> >> > 469 pandas_sql.to_sql(frame, name,
> >> >> >> >> >> >> > if_exists=if_exists,
> >> >> >> >> >> >> > index=index,
> >> >> >> >> >> >> > 470 index_label=index_label,
> >> >> >> >> >> >> > schema=schema,
> >> >> >> >> >> >> > --> 471 chunksize=chunksize,
> >> >> >> >> >> >> > dtype=dtype)
> >> >> >> >> >> >> > 472
> >> >> >> >> >> >> > 473
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/pandas/io/sql.py
> >> >> >> >> >> >> > in
> >> >> >> >> >> >> > to_sql(self, frame, name, if_exists, index,
> index_label,
> >> >> >> >> >> >> > schema,
> >> >> >> >> >> >> > chunksize,
> >> >> >> >> >> >> > dtype)
> >> >> >> >> >> >> > 1148 if_exists=if_exists,
> >> >> >> >> >> >> > index_label=index_label,
> >> >> >> >> >> >> > 1149 schema=schema,
> >> >> >> >> >> >> > dtype=dtype)
> >> >> >> >> >> >> > -> 1150 table.create()
> >> >> >> >> >> >> > 1151 table.insert(chunksize)
> >> >> >> >> >> >> > 1152 if (not name.isdigit() and not
> >> >> >> >> >> >> > name.islower()):
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/pandas/io/sql.py
> >> >> >> >> >> >> > in
> >> >> >> >> >> >> > create(self)
> >> >> >> >> >> >> > 596 "'{0}' is not valid for
> >> >> >> >> >> >> > if_exists".format(self.if_exists))
> >> >> >> >> >> >> > 597 else:
> >> >> >> >> >> >> > --> 598 self._execute_create()
> >> >> >> >> >> >> > 599
> >> >> >> >> >> >> > 600 def insert_statement(self):
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/pandas/io/sql.py
> >> >> >> >> >> >> > in
> >> >> >> >> >> >> > _execute_create(self)
> >> >> >> >> >> >> > 581 # Inserting table into database, add
> to
> >> >> >> >> >> >> > MetaData
> >> >> >> >> >> >> > object
> >> >> >> >> >> >> > 582 self.table =
> >> >> >> >> >> >> > self.table.tometadata(self.pd_sql.meta)
> >> >> >> >> >> >> > --> 583 self.table.create()
> >> >> >> >> >> >> > 584
> >> >> >> >> >> >> > 585 def create(self):
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/sql/schema.py
>
> >> >> >> >> >> >> > in create(self, bind, checkfirst)
> >> >> >> >> >> >> > 754 bind._run_visitor(ddl.SchemaGenerator,
> >> >> >> >> >> >> > 755 self,
> >> >> >> >> >> >> > --> 756
> checkfirst=checkfirst)
> >> >> >> >> >> >> > 757
> >> >> >> >> >> >> > 758 def drop(self, bind=None,
> checkfirst=False):
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/engine/base.py
>
> >> >> >> >> >> >> > in _run_visitor(self, visitorcallable, element,
> >> >> >> >> >> >> > connection,
> >> >> >> >> >> >> > **kwargs)
> >> >> >> >> >> >> > 1927 connection=None,
> **kwargs):
> >> >> >> >> >> >> > 1928 with
> >> >> >> >> >> >> > self._optional_conn_ctx_manager(connection)
> >> >> >> >> >> >> > as
> >> >> >> >> >> >> > conn:
> >> >> >> >> >> >> > -> 1929 conn._run_visitor(visitorcallable,
> >> >> >> >> >> >> > element,
> >> >> >> >> >> >> > **kwargs)
> >> >> >> >> >> >> > 1930
> >> >> >> >> >> >> > 1931 class _trans_ctx(object):
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/engine/base.py
>
> >> >> >> >> >> >> > in _run_visitor(self, visitorcallable, element,
> **kwargs)
> >> >> >> >> >> >> > 1536 def _run_visitor(self, visitorcallable,
> >> >> >> >> >> >> > element,
> >> >> >> >> >> >> > **kwargs):
> >> >> >> >> >> >> > 1537 visitorcallable(self.dialect, self,
> >> >> >> >> >> >> > -> 1538
> >> >> >> >> >> >> > **kwargs).traverse_single(element)
> >> >> >> >> >> >> > 1539
> >> >> >> >> >> >> > 1540
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/sql/visitors.py
>
>
> >> >> >> >> >> >> > in traverse_single(self, obj, **kw)
> >> >> >> >> >> >> > 119 meth = getattr(v, "visit_%s" %
> >> >> >> >> >> >> > obj.__visit_name__,
> >> >> >> >> >> >> > None)
> >> >> >> >> >> >> > 120 if meth:
> >> >> >> >> >> >> > --> 121 return meth(obj, **kw)
> >> >> >> >> >> >> > 122
> >> >> >> >> >> >> > 123 def iterate(self, obj):
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/sql/ddl.py
> in
> >> >> >> >> >> >> > visit_table(self, table, create_ok,
> >> >> >> >> >> >> > include_foreign_key_constraints,
> >> >> >> >> >> >> > _is_metadata_operation)
> >> >> >> >> >> >> > 765 CreateTable(
> >> >> >> >> >> >> > 766 table,
> >> >> >> >> >> >> > --> 767
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> include_foreign_key_constraints=include_foreign_key_constraints
> >> >> >> >> >> >> > 768 ))
> >> >> >> >> >> >> > 769
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/engine/base.py
>
> >> >> >> >> >> >> > in execute(self, object, *multiparams, **params)
> >> >> >> >> >> >> > 943 raise
> >> >> >> >> >> >> > exc.ObjectNotExecutableError(object)
> >> >> >> >> >> >> > 944 else:
> >> >> >> >> >> >> > --> 945 return meth(self, multiparams,
> >> >> >> >> >> >> > params)
> >> >> >> >> >> >> > 946
> >> >> >> >> >> >> > 947 def _execute_function(self, func,
> >> >> >> >> >> >> > multiparams,
> >> >> >> >> >> >> > params):
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/sql/ddl.py
> in
> >> >> >> >> >> >> > _execute_on_connection(self, connection, multiparams,
> >> >> >> >> >> >> > params)
> >> >> >> >> >> >> > 66
> >> >> >> >> >> >> > 67 def _execute_on_connection(self,
> connection,
> >> >> >> >> >> >> > multiparams,
> >> >> >> >> >> >> > params):
> >> >> >> >> >> >> > ---> 68 return connection._execute_ddl(self,
> >> >> >> >> >> >> > multiparams,
> >> >> >> >> >> >> > params)
> >> >> >> >> >> >> > 69
> >> >> >> >> >> >> > 70 def execute(self, bind=None, target=None):
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/engine/base.py
>
> >> >> >> >> >> >> > in _execute_ddl(self, ddl, multiparams, params)
> >> >> >> >> >> >> > 1000 compiled,
> >> >> >> >> >> >> > 1001 None,
> >> >> >> >> >> >> > -> 1002 compiled
> >> >> >> >> >> >> > 1003 )
> >> >> >> >> >> >> > 1004 if self._has_events or
> >> >> >> >> >> >> > self.engine._has_events:
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/engine/base.py
>
> >> >> >> >> >> >> > in _execute_context(self, dialect, constructor,
> >> >> >> >> >> >> > statement,
> >> >> >> >> >> >> > parameters,
> >> >> >> >> >> >> > *args)
> >> >> >> >> >> >> > 1187 parameters,
> >> >> >> >> >> >> > 1188 cursor,
> >> >> >> >> >> >> > -> 1189 context)
> >> >> >> >> >> >> > 1190
> >> >> >> >> >> >> > 1191 if self._has_events or
> >> >> >> >> >> >> > self.engine._has_events:
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/engine/base.py
>
> >> >> >> >> >> >> > in _handle_dbapi_exception(self, e, statement,
> >> >> >> >> >> >> > parameters,
> >> >> >> >> >> >> > cursor,
> >> >> >> >> >> >> > context)
> >> >> >> >> >> >> > 1400 util.raise_from_cause(
> >> >> >> >> >> >> > 1401 sqlalchemy_exception,
> >> >> >> >> >> >> > -> 1402 exc_info
> >> >> >> >> >> >> > 1403 )
> >> >> >> >> >> >> > 1404 else:
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/util/compat.py
>
> >> >> >> >> >> >> > in raise_from_cause(exception, exc_info)
> >> >> >> >> >> >> > 201 exc_type, exc_value, exc_tb = exc_info
> >> >> >> >> >> >> > 202 cause = exc_value if exc_value is not
> >> >> >> >> >> >> > exception
> >> >> >> >> >> >> > else
> >> >> >> >> >> >> > None
> >> >> >> >> >> >> > --> 203 reraise(type(exception), exception,
> >> >> >> >> >> >> > tb=exc_tb,
> >> >> >> >> >> >> > cause=cause)
> >> >> >> >> >> >> > 204
> >> >> >> >> >> >> > 205 if py3k:
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/util/compat.py
>
> >> >> >> >> >> >> > in reraise(tp, value, tb, cause)
> >> >> >> >> >> >> > 184 value.__cause__ = cause
> >> >> >> >> >> >> > 185 if value.__traceback__ is not tb:
> >> >> >> >> >> >> > --> 186 raise value.with_traceback(tb)
> >> >> >> >> >> >> > 187 raise value
> >> >> >> >> >> >> > 188
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/engine/base.py
>
> >> >> >> >> >> >> > in _execute_context(self, dialect, constructor,
> >> >> >> >> >> >> > statement,
> >> >> >> >> >> >> > parameters,
> >> >> >> >> >> >> > *args)
> >> >> >> >> >> >> > 1180 statement,
> >> >> >> >> >> >> > 1181 parameters,
> >> >> >> >> >> >> > -> 1182 context)
> >> >> >> >> >> >> > 1183 except BaseException as e:
> >> >> >> >> >> >> > 1184 self._handle_dbapi_exception(
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> /home/saravji/anaconda3/lib/python3.6/site-packages/sqlalchemy/engine/default.py
>
>
> >> >> >> >> >> >> > in do_execute(self, cursor, statement, parameters,
> >> >> >> >> >> >> > context)
> >> >> >> >> >> >> > 468
> >> >> >> >> >> >> > 469 def do_execute(self, cursor, statement,
> >> >> >> >> >> >> > parameters,
> >> >> >> >> >> >> > context=None):
> >> >> >> >> >> >> > --> 470 cursor.execute(statement, parameters)
> >> >> >> >> >> >> > 471
> >> >> >> >> >> >> > 472 def do_execute_no_params(self, cursor,
> >> >> >> >> >> >> > statement,
> >> >> >> >> >> >> > context=None):
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > ProgrammingError: (pyodbc.ProgrammingError) ('42000',
> >> >> >> >> >> >> > "[42000]
> >> >> >> >> >> >> > [Microsoft][ODBC Driver 13 for SQL Server][SQL
> Server]The
> >> >> >> >> >> >> > statement
> >> >> >> >> >> >> > failed.
> >> >> >> >> >> >> > Column 'b' has a data type that cannot participate in
> a
> >> >> >> >> >> >> > columnstore
> >> >> >> >> >> >> > index.\r\nOperation cancelled by user. (35343)
> >> >> >> >> >> >> > (SQLExecDirectW)")
> >> >> >> >> >> >> > [SQL:
> >> >> >> >> >> >> > '\nCREATE TABLE [dbo.MSODS_DSI] (\n\t[a] DATETIME
> NULL,
> >> >> >> >> >> >> > \n\t[b]
> >> >> >> >> >> >> > VARCHAR(max)
> >> >> >> >> >> >> > NULL, \n\t[c] VARCHAR(max) NULL, \n\t[d] VARCHAR(max)
> >> >> >> >> >> >> > NULL,
> >> >> >> >> >> >> > \n\t[e]
> >> >> >> >> >> >> > VARCHAR(max) NULL, \n\t[f] FLOAT(53) NULL, \n\t[g]
> >> >> >> >> >> >> > FLOAT(53)
> >> >> >> >> >> >> > NULL\n)\n\n']
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > On Monday, September 11, 2017 at 3:34:47 PM UTC-7,
> >> >> >> >> >> >> > dirk.biesinger
> >> >> >> >> >> >> > wrote:
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> I am encountering errors when trying to use the
> >> >> >> >> >> >> >> pd.to_sql
> >> >> >> >> >> >> >> function
> >> >> >> >> >> >> >> to
> >> >> >> >> >> >> >> write a dataframe to MS SQL Data Warehouse.
> >> >> >> >> >> >> >> The connection works when NOT using sqlalchemy
> engines.
> >> >> >> >> >> >> >> I can read dataframes as well as row-by-row via
> select
> >> >> >> >> >> >> >> statements
> >> >> >> >> >> >> >> when
> >> >> >> >> >> >> >> I
> >> >> >> >> >> >> >> use pyodbc connections
> >> >> >> >> >> >> >> I can write data via insert statements (as well as
> >> >> >> >> >> >> >> delete
> >> >> >> >> >> >> >> data)
> >> >> >> >> >> >> >> when
> >> >> >> >> >> >> >> using
> >> >> >> >> >> >> >> pyodbc.
> >> >> >> >> >> >> >> However, when I try to connect using a sqlalchemy
> engine
> >> >> >> >> >> >> >> I
> >> >> >> >> >> >> >> run
> >> >> >> >> >> >> >> into
> >> >> >> >> >> >> >> a
> >> >> >> >> >> >> >> string of error messages starting with:
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> ProgrammingError: (pyodbc.ProgrammingError) ('42000',
> >> >> >> >> >> >> >> "[42000]
> >> >> >> >> >> >> >> [Microsoft][ODBC Driver 13 for SQL Server][SQL
> >> >> >> >> >> >> >> Server]Catalog
> >> >> >> >> >> >> >> view
> >> >> >> >> >> >> >> 'dm_exec_sessions' is not supported in this version.
> >> >> >> >> >> >> >> (104385)
> >> >> >> >> >> >> >> (SQLExecDirectW)")
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> I have searched online, and this exact error seems to
> >> >> >> >> >> >> >> have
> >> >> >> >> >> >> >> been
> >> >> >> >> >> >> >> reported /
> >> >> >> >> >> >> >> evaluated in May of this year as issue #3994:
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> https://bitbucket.org/zzzeek/sqlalchemy/issues/3994/azure-sql-datawarehouse-basic
>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> I could not find a solution to this, and I'd really
> >> >> >> >> >> >> >> dislike
> >> >> >> >> >> >> >> to
> >> >> >> >> >> >> >> do
> >> >> >> >> >> >> >> a
> >> >> >> >> >> >> >> line-wise or blob insert statement (I'm working with
> >> >> >> >> >> >> >> multiple
> >> >> >> >> >> >> >> datasets
> >> >> >> >> >> >> >> that
> >> >> >> >> >> >> >> each has a few million rows, so execution time is a
> >> >> >> >> >> >> >> consideration,
> >> >> >> >> >> >> >> although
> >> >> >> >> >> >> >> the result sets I'm getting are more like in the 100k
> >> >> >> >> >> >> >> lines
> >> >> >> >> >> >> >> area
> >> >> >> >> >> >> >> each.)
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> I get the same error messages even when I replace the
> >> >> >> >> >> >> >> pd.to_sql
> >> >> >> >> >> >> >> command
> >> >> >> >> >> >> >> with a simple engine.connect()
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> Enclosed my installed packages (packages.list)
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> Enclosed the full traceback (traceback.txt)
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> This is the code I'm using:
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> connection_string =
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> "mssql+pyodbc://<username>:<password>@<sqlhost>.
> database.windows.net:<port>/<database>?driver=ODBC+Driver+13+for+SQL+Server"
>
> >> >> >> >> >> >> >> engn =
> >> >> >> >> >> >> >> sqlalchemy.engine.create_engine(connection_string,
> >> >> >> >> >> >> >> echo=True)
> >> >> >> >> >> >> >> engn.connect()
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> I'm very well aware that MS SQL DataWarehouse behaves
> a
> >> >> >> >> >> >> >> bit
> >> >> >> >> >> >> >> different,
> >> >> >> >> >> >> >> so
> >> >> >> >> >> >> >> I'm open for some experimenting to get this issue
> >> >> >> >> >> >> >> narrowed
> >> >> >> >> >> >> >> down.
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> In case it matters: I'm running an ubuntu 16.04 VM on
> >> >> >> >> >> >> >> azure
> >> >> >> >> >> >> >> with
> >> >> >> >> >> >> >> jupyter
> >> >> >> >> >> >> >> notebook server and python 3.6.1.
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> Best,
> >> >> >> >> >> >> >>
> >> >> >> >> >> >> >> DB
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > --
> >> >> >> >> >> >> > SQLAlchemy -
> >> >> >> >> >> >> > The Python SQL Toolkit and Object Relational Mapper
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > http://www.sqlalchemy.org/
> >> >> >> >> >> >> >
> >> >> >> >> >> >> > To post example code, please provide an MCVE: Minimal,
> >> >> >> >> >> >> > Complete,
> >> >> >> >> >> >> > and
> >> >> >> >> >> >> > Verifiable Example. See
> >> >> >> >> >> >> > http://stackoverflow.com/help/mcve
> >> >> >> >> >> >> > for
> >> >> >> >> >> >> > a
> >> >> >> >> >> >> > full
> >> >> >> >> >> >> > description.
> >> >> >> >> >> >> > ---
> >> >> >> >> >> >> > You received this message because you are subscribed
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> >> >> >> >> >> >> > the
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> >> >> >> >> >> >> > Groups
> >> >> >> >> >> >> > "sqlalchemy" group.
> >> >> >> >> >> >> > To unsubscribe from this group and stop receiving
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> >> >> >> >> >> >> > from
> >> >> >> >> >> >> > it,
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> >> >> >> >> >> >> > To post to this group, send email to
> >> >> >> >> >> >> > sqlal...@googlegroups.com.
> >> >> >> >> >> >> > Visit this group at
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> >> >> >> >> >> >> > For more options, visit
> >> >> >> >> >> >> > https://groups.google.com/d/optout.
> >> >> >> >> >> >
> >> >> >> >> >> > --
> >> >> >> >> >> > SQLAlchemy -
> >> >> >> >> >> > The Python SQL Toolkit and Object Relational Mapper
> >> >> >> >> >> >
> >> >> >> >> >> > http://www.sqlalchemy.org/
> >> >> >> >> >> >
> >> >> >> >> >> > To post example code, please provide an MCVE: Minimal,
> >> >> >> >> >> > Complete,
> >> >> >> >> >> > and
> >> >> >> >> >> > Verifiable Example. See
> http://stackoverflow.com/help/mcve
> >> >> >> >> >> > for
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> >> >> >> >> >> > full
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> >> >> >> >> >
> >> >> >> >> > --
> >> >> >> >> > SQLAlchemy -
> >> >> >> >> > The Python SQL Toolkit and Object Relational Mapper
> >> >> >> >> >
> >> >> >> >> > http://www.sqlalchemy.org/
> >> >> >> >> >
> >> >> >> >> > To post example code, please provide an MCVE: Minimal,
> >> >> >> >> > Complete,
> >> >> >> >> > and
> >> >> >> >> > Verifiable Example. See http://stackoverflow.com/help/mcve
> for
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> >> >> >> >
> >> >> >> > --
> >> >> >> > SQLAlchemy -
> >> >> >> > The Python SQL Toolkit and Object Relational Mapper
> >> >> >> >
> >> >> >> > http://www.sqlalchemy.org/
> >> >> >> >
> >> >> >> > To post example code, please provide an MCVE: Minimal,
> Complete,
> >> >> >> > and
> >> >> >> > Verifiable Example. See http://stackoverflow.com/help/mcve for
> a
> >> >> >> > full
> >> >> >> > description.
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> >> >> >> > For more options, visit https://groups.google.com/d/optout.
> >> >> >
> >> >> > --
> >> >> > SQLAlchemy -
> >> >> > The Python SQL Toolkit and Object Relational Mapper
> >> >> >
> >> >> > http://www.sqlalchemy.org/
> >> >> >
> >> >> > To post example code, please provide an MCVE: Minimal, Complete,
> and
> >> >> > Verifiable Example. See http://stackoverflow.com/help/mcve for a
> full
> >> >> > description.
> >> >> > ---
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> >> >
> >> > --
> >> > SQLAlchemy -
> >> > The Python SQL Toolkit and Object Relational Mapper
> >> >
> >> > http://www.sqlalchemy.org/
> >> >
> >> > To post example code, please provide an MCVE: Minimal, Complete, and
> >> > Verifiable Example. See http://stackoverflow.com/help/mcve for a
> full
> >> > description.
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> >
> > --
> > SQLAlchemy -
> > The Python SQL Toolkit and Object Relational Mapper
> >
> > http://www.sqlalchemy.org/
> >
> > To post example code, please provide an MCVE: Minimal, Complete, and
> > Verifiable Example. See http://stackoverflow.com/help/mcve for a full
> > description.
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>
--
SQLAlchemy -
The Python SQL Toolkit and Object Relational Mapper
http://www.sqlalchemy.org/
To post example code, please provide an MCVE: Minimal, Complete, and Verifiable
Example. See http://stackoverflow.com/help/mcve for a full description.
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