Write fast pandas dataframe to postgres

Question

I wonder of the fastest way to write data from pandas DataFrame to table in postges DB.

1) I've tried pandas.to_sql, but for some reason it takes entity to copy data,

2) besides I've tried following:

import io
f = io.StringIO()
pd.DataFrame({'a':[1,2], 'b':[3,4]}).to_csv(f)
cursor = conn.cursor()
cursor.execute('create table bbbb (a int, b int);COMMIT; ')
cursor.copy_from(f, 'bbbb', columns=('a', 'b'), sep=',')
cursor.execute("select * from bbbb;")
a = cursor.fetchall()
print(a)
cursor.close()

but it returns empty list [].

So I have two questions: what is the fastest way to copy data from python code (dataframe) to postgres DB? and what was incorrect in the second approach that I've tried?

Answer 1

Your second approach should be very fast.

There are two problems with your code:

1. After writing the csv to f you are positioned at the end of the file. You need to put your position back to the beginning before starting to read.
2. When writing a csv, you need to omit the header and index

Here is what your final code should look like:

import io
f = io.StringIO()
pd.DataFrame({'a':[1,2], 'b':[3,4]}).to_csv(f, index=False, header=False)  # removed header
f.seek(0)  # move position to beginning of file before reading
cursor = conn.cursor()
cursor.execute('create table bbbb (a int, b int);COMMIT; ')
cursor.copy_from(f, 'bbbb', columns=('a', 'b'), sep=',')
cursor.execute("select * from bbbb;")
a = cursor.fetchall()
print(a)
cursor.close()