I have a MySQL database with 2 tables suppose table1 & table2 each having the same set of 300 columns.
Now what I want to do is create a new table (eg. table3) consisting of rows from table1 and table2.
There is no row matching needed between the two tables. I tried
union and various other operations but the catch is the columns are unordered inside the tables. But they have the same set of column names.
I want to merge the two tables with the rows having data in respective columns, which I am not able to do using UNION or INSERT operation.
After trying a lot of different ways to merge the tables using SQL commands I was unable to find any solution which fulfilled the requirements.
One way in which this can be solved using Python is to load the tables into a Pandas dataframe and then concat these two to a new dataframe.
Pandas merge them properly by matching the column names and then you can reload the table to the database.
Any other solution is appreciated.
Answered By – Navkar Shah
Answer Checked By – David Goodson (BugsFixing Volunteer)