SQLAlchemy Truncating Strings On Import From MS SQL - sql-server

Question

First off this is my setup:
Windows 7
MS SQL Server 2008
Python 3.6 Anaconda Distribution
I am working in a Jupyter notebook and trying to import a column of data from a MS SQL Server database using SQLAlchemy. The column in question contains cells which store long strings of text (datatype is nvarchar(max)). This is my code:
engine = create_engine('mssql+pyodbc://user:password#server:port/db_name?driver=SQL+Server+Native+Client+11.0'
stmt = 'SELECT componenttext FROM TranscriptComponent WHERE transcriptId=1265293'
connection = engine.connect()
results = connection.execute(stmt).fetchall()
This executes fine, and imports a list of strings. However when I examine the strings they are truncated, and in the middle of the strings the following message seems to have been inserted:
... (8326 characters truncated) ...
With the number of characters varying from string to string. I did a check on how long the strings that got imported are, and the ones that have been truncated are all limited at either 339 or 340 characters.
Is this a limitation in SQLAlchemy, Python or something else entirely?
Any help appreciated!

Answer 1

Same problem here!
Set up :
Windows Server 2012
MS SQL Server 2016/PostgreSQL 10.1
Python 3.6 Anaconda Distribution
I've tested everything I could, but can't overpass this 33x limitation in field length. Either varchar/text seems to be affected and the DBMS/driver doesn't seem to have any influence.
EDIT:
Found the source of the "problem": https://bitbucket.org/zzzeek/sqlalchemy/issues/2837
Seems like fetchall() is affected by this feature.
The only workaround i found was :
empty_list=[]
connection = engine.connect()
results = connection.execute(stmt)
for row in results:
empty_list.append(row['componenttext'])
This way i haven't found any truncation in my long string field(>3000 ch).