In enterprise application development, business personnel often provide Excel data sources, and developers import Excel data into the database, and then process it in the database. In order to express a hierarchy and belonging relationship in Excel, many blank cells are often generated. For example, a CRM data contains sales team, salesperson and customer data, the salesperson belongs to a certain sales team, and the customer belongs to a specific sales, so the business personnel will provide such data:
| sales team | Seller | client |
| G1 | S1 | C1 |
| C2 | ||
| C3 | ||
| C4 | ||
| C5 | ||
| C6 | ||
| C7 | ||
| S2 | C8 | |
| C9 | ||
| C10 | ||
| C11 | ||
| S3 | C12 | |
| C13 | ||
| C14 | ||
| G2 | S11 | C15 |
| C16 | ||
| C17 | ||
| Q18 | ||
| C19 | ||
| C20 | ||
| S12 | C21 |
If such Excel data is directly imported into the database, the salesperson corresponding to customers such as C2 will be empty, and the corresponding sales team will also be empty. Therefore, it is necessary to process Excel so that each customer has a corresponding salesperson and sales team.
The processing method is as follows:
1. Select the entire table range, and then use the shortcut key Ctrl+G to pop up the positioning window.
2. Click "Location Criteria", select "Empty Value" radio box, and click the OK button, all empty value areas in the table will be selected
3. The current cursor position is above B3, we can enter "=B2" in B3
4. Press and hold Ctrl+Enter after the input is completed, and all the selected empty values can be filled in:
There is no problem with importing such data.
The essence of this is to make each blank cell equal to the value of the cell above it, thereby filling all blank areas.