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?
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 <javascript:>> 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.
> > ---
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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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