Import Excel Data into PostgreSQL 9.3

The typical answer is this:

1. In Excel, File/Save As, select CSV, save your current sheet.

2. transfer to a holding directory on the Pg server the postgres user can access

3. in PostgreSQL:

   COPY mytable FROM '/path/to/csv/file' WITH CSV HEADER; -- must be superuser

But there are other ways to do this too. PostgreSQL is an amazingly programmable database. These include:

1. Write a module in pl/javaU, pl/perlU, or other untrusted language to access file, parse it, and manage the structure.

2. Use CSV and the fdw_file to access it as a pseudo-table

3. Use DBILink and DBD::Excel

4. Write your own foreign data wrapper for reading Excel files.

The possibilities are literally endless....

You can also use psql console to execute \copy without need to send file to Postgresql server machine. The command is the same:

\copy mytable [ ( column_list ) ] FROM '/path/to/csv/file' WITH CSV HEADER

For python you could use openpyxl for all 2010 and newer file formats (xlsx).

Al Sweigart has a full tutorial from automate the boring parts on working with excel spreadsheets its very indepth and the whole book and accompanying Udemy course are great resources.

From his example

>>> import openpyxl>>> wb = openpyxl.load_workbook('example.xlsx')>>> wb.get_sheet_names()['Sheet1', 'Sheet2', 'Sheet3']>>> sheet = wb.get_sheet_by_name('Sheet3')>>> sheet<Worksheet "Sheet3">

Understandably once you have this access you can now use psycopg to parse the data to postgres as you normally would do.

This is a link to a list of python resources at python-excel also xlwings provides a large array of features for using python in place of vba in excel.