I am working with a large database with high frequency data and I regularly do queries that return large results. I found that above a certain threshold (somewhere above 120 kB), pytds fails with : pytds.tds_base.ClosedConnectionError: Server closed connection
By querying different tables I found out that it does not seem to be related to the number of lines returned but the size of the data.
Using pyodbc I can get > 4 MB using the same query without any error.
Here is a traceback:
Traceback (most recent call last):
File "extract_stuff_with_pytds.py", line 22, in <module>
df = pd.DataFrame.from_records(res, columns=colnames, nrows=4000)
File "/home/ml/anaconda3/lib/python3.7/site-packages/pandas/core/frame.py", line 1240, in from_records
values.extend(itertools.islice(data, nrows - 1))
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/__init__.py", line 879, in __next__
row = self.fetchone()
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/__init__.py", line 852, in fetchone
row = self._session.fetchone()
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/tds.py", line 1581, in fetchone
if not self.next_row():
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/tds.py", line 1592, in next_row
self.process_token(marker)
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/tds.py", line 1542, in process_token
return handler(self)
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/tds.py", line 1659, in <lambda>
tds_base.TDS_ROW_TOKEN: lambda self: self.process_row(),
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/tds.py", line 639, in process_row
curcol.value = self.row[i] = curcol.serializer.read(r)
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/tds_types.py", line 804, in read
return r.read_str(size, ucs2_codec)
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/tds.py", line 212, in read_str
return codec.decode(readall(self, size))[0]
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/tds_base.py", line 564, in readall
return join_bytearrays(read_chunks(stm, size))
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/tds_base.py", line 376, in join_bytearrays
return b''.join(ba)
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/tds_base.py", line 543, in read_chunks
buf = stm.recv(left)
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/tds.py", line 153, in recv
self._read_packet()
File "/home/ml/anaconda3/lib/python3.7/site-packages/pytds/tds.py", line 232, in _read_packet
raise tds_base.ClosedConnectionError()
pytds.tds_base.ClosedConnectionError: Server closed connection
I am working with a large database with high frequency data and I regularly do queries that return large results. I found that above a certain threshold (somewhere above 120 kB), pytds fails with : pytds.tds_base.ClosedConnectionError: Server closed connection By querying different tables I found out that it does not seem to be related to the number of lines returned but the size of the data.
Here is a gist to reproduce the error: https://gist.github.com/jaj42/e334457459095a325ebaed4e88461b05
Using pyodbc I can get > 4 MB using the same query without any error.
Here is a traceback: