On Wed, Sep 13, 2017 at 2:41 PM, dirk.biesinger
<dirk.biesin...@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.
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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/
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