Data from a Microsoft Excel spreadsheet can be exported to a new MySQL database table by using the Export Excel Data to New Table option. Exporting data looks like so:
Several advanced options enables you to tweak the exported data. The advanced options dialog looks like so:
Column Datatype Options:
Use the first
100(default) Excel data rows to preview and calculate data types: This determines the number of rows that the preview displays, and the values that affect the automatic mapping feature.
Analyze and try to detect correct datatype based on column field contents: Attempts to analyze the data and determine the data type for the column. The column type is defined as
VARCHARif it contains multiple types.
Add additional buffer to
VARCHARlength (round up to 12, 25, 45, 125, 255): When the data type is automatically detected and is set to
VARCHAR, then it calculates the maximum length for all rows within the column, and rounds up the maximum length to one of the defined lengths above.
If disabled, then the
VARCHARlength is set to the length of the longest entry in the Excel spreadsheet.
Automatically check the Index checkbox for Integer columns: If enabled (default), columns with an Integer data type will have the Create Index option enabled by default.
Automatically check the Allow Empty checkbox for columns without an index: If enabled (default), columns without the Create Index checkbox checked will automatically enable the Allow Empty configuration option.
Show all available MySQL data types in the Data Type drop-down list: By default, only the most commonly used data types are displayed. Enable (disabled by default) this setting to see a list of all MySQL data types.Note
This option was added in MySQL for Excel 1.3.0
Field Data options:
Use formatted values: When enabled (default), the data from Excel is treated as
Date. When disabled, data is never treated as a
Datetype, so for example this means that a date would be represented as a number.
Create table's secondary indexes after data has been exported to speed-up rows insertion: This saves disk I/O for bulk inserts (thousands of rows) since re-indexing will not happen every time a row is inserted, but only once at the end of the data insertion. This option is enabled by default.Note
This option was added in MySQL for Excel 1.2.1.
The following option was
Removedin MySQL for Excel 1.2.1. Now, the default behavior is to always remove empty columns from the calculations.
Remove columns that contain no data, otherwise flag them as "Excluded": If enabled, columns without data in Excel are removed and not shown in the preview panel. If disabled (default), these columns will exist but have the Exclude Column option checked.
Entering "0" into a date column.
Entering the value "0" into an Excel date column will convert the value to "12/30/1899" in MySQL. This is because Excel first translates the value to the minimum date in Excel, which is "1/0/1900", because dates are internally stored in Excel as numbers (the days that have passed since "1/0/1900". However, because "1/0/1900" is not a valid date, the committed value to MySQL will change to "12/30/1899" because the .NET MySQL connector automatically converts "1/0/1900" to "12/30/1899", which is the closest valid date.