On Wed, Sep 13, 2017 at 3:27 PM, dirk.biesinger
<dirk.biesin...@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 to the Google
>> >> >> > Groups
>> >> >> > "sqlalchemy" group.
>> >> >> > To unsubscribe from this group and stop receiving emails from it,
>> >> >> > send
>> >> >> > an
>> >> >> > email to sqlalchemy+...@googlegroups.com.
>> >> >> > To post to this group, send email to sqlal...@googlegroups.com.
>> >> >> > Visit this group at https://groups.google.com/group/sqlalchemy.
>> >> >> > 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.
>> >> > ---
>> >> > You received this message because you are subscribed to the Google
>> >> > Groups
>> >> > "sqlalchemy" group.
>> >> > To unsubscribe from this group and stop receiving emails from it,
>> >> > send
>> >> > an
>> >> > email to sqlalchemy+...@googlegroups.com.
>> >> > To post to this group, send email to sqlal...@googlegroups.com.
>> >> > Visit this group at https://groups.google.com/group/sqlalchemy.
>> >> > 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.
>> > ---
>> > You received this message because you are subscribed to the Google
>> > Groups
>> > "sqlalchemy" group.
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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.
---
You received this message because you are subscribed to the Google Groups
"sqlalchemy" group.
To unsubscribe from this group and stop receiving emails from it, send an email
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