I have imported data into a SQLite3-database with Python. I have 15 tables.
I would like to check the result in each table with a count for each file that was loaded.
Desired Result:
+---------------+------------+-------------------------------------------+
| Tablename | #Records | FilenameImported |
+---------------+------------+-------------------------------------------+
| Tbl_RawData1 | 23680 | 442953-63fe-45fd-8378-c5f5fe5cb755.csv |
| Tbl_RawData2 | 13358 | bd3e609f-999f-4d29-845d-107bd5e205d6.csv |
| Tbl_RawData3 | 25000 | Import.csv |
| Tbl_RawData4 | 15000 | Importbis.csv |
+---------------+------------+-------------------------------------------+
...
Below the queries I used in dbeaver.
select count(FileBase), FileBase from Tbl_RawData1 group by Filebase
select count(FileBase), FileBase from Tbl_RawData2 group by Filebase
select count(FileBase), FileBase from Tbl_RawData3 group by Filebase
select count(FileBase), FileBase from Tbl_RawData4 group by Filebase
select count(FileBase), FileBase from Tbl_RawData5 group by Filebase
...
What is the best way of doing this in Python?