My situation is this: I have several DIFFERENT tables in my MySQL database with the same name columns. Such tables can contain (or not) the same data.
What I need to do is a kind of "merge" between these tables, creating a new table that will contain only the data repeated once.
In other words, I want to check for duplicate records in multiple tables, leaving one with the records without repetition.
A example to clarify: I have 2 tables (in fact I have 10 tables, but 2 works for the example) with the columns id, name and city like below
+----+---------------------------------------------------------+-----------------------+
| id | name | city |
+----+---------------------------------------------------------+-----------------------+
| 6 | HOTEL PANAMBY GUARULHOS | guarulhos |
| 31 | PLAZA INN MASTER | new york |
| 40 | PLAZA INN AMERICAN LOFT SãO PAULO | sao paulo |
| 41 | PLAZA INN PARIS | paris |
+----+---------------------------------------------------------+-----------------------+
The id '41' of table 1 could be equal to id '80' of table 2, for example and so subsequently. My task is compare the tables and create a new one without repetition. Don't exist any FK between tables, they are isolated.
Until now, I discovered two approaches to deal with this.
1) Using SELECT UNION. Apparently is the best approach, but I couldn't see the correct joins and group by to use it, once I don't have FKs;
2) Using a Stored Procedure with cursors for two tables and compare row by row. I tried use this one, but SP it isn't my speciality, so i created a good one, but the tables has over 1000 rows each one and my SP always crashed the memory.
I found this question here, but is not my case, I want a new table without repetition. Other questions in this site with similar problem talk about SQL Server and don't work for me.
Currently, I'm doing the workaround with a PHP script, but I'd like to know for any MyQSL solutions, if any. I found some articles about Dataclean, but I don't know if this is the case and never work with this in MySQL.
I hope I was clear.