Suppress output of SQL statements when calling pandas to_sql() - pandas

Question

to_sql() is printing every insert statement within my Jupyter Notebook and this makes everything run very slowly for millions of records. How can I decrease the verbosity significantly? I haven't found any verbosity setting of this function. I've tried %%capture as written here. The same method works for another simple test case with print() but not for to_sql(). How do you suppress output in IPython Notebook?
from sqlalchemy import create_engine, NVARCHAR
import cx_Oracle
df.to_sql('table_name', engine, if_exists='append',
schema='schema', index=False, chunksize=10000,
dtype={col_name: NVARCHAR(length=20) for col_name in df} )

Answer 1

Inside create_engine(), set echo=False and all logging will be disabled. More detail here: https://docs.sqlalchemy.org/en/13/core/engines.html#more-on-the-echo-flag.
from sqlalchemy import create_engine, NVARCHAR
import cx_Oracle
host='hostname.net'
port=1521
sid='DB01' #instance is the same as SID
user='USER'
password='password'
sid = cx_Oracle.makedsn(host, port, sid=sid)
cstr = 'oracle://{user}:{password}#{sid}'.format(
user=user,
password=password,
sid=sid
)
engine = create_engine(
cstr,
convert_unicode=False,
pool_recycle=10,
pool_size=50,
echo=False
)
Thanks to #GordThompson for pointing me in the right direction!