Export MySQL query to Excel file

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Export MySQL query to Excel file (XLS or XLSX file)

Methods

One step conversion: ex MySQL query -> Excel file

Methods of exporting MySQL query -> XLS/XLSX file

Notice the limit of Excel XLS file format:

  1. "Total number of characters that a cell can contain: 32,767 characters"
    • Using MySQL SUBSTRING() function ex: SUBSTRING(string_column, 1, 32767) for EXCEL 97[1]-2007[2] (XLS 檔)
    • validate the count of characters: MySQL CHAR_LENGTH or Excel LEN functions
  2. "Length of formula contents: 8,192 characters" If the content start with the symbol = or -, Excel will consider the content is formula.
    • Using CONCAT ' symbol ex: CONCAT('\'', string_column) If the content is not formula.
  3. "Worksheet size: 1,048,576 rows":
    • Using LIMIT 1048576 for EXCEL 2007
file format data rows size length of cloumn
XLSX file format[3] Maximum of worksheet size is 1,048,576 rows by 16,384 columns. (1) Length of formula contents: 8,192 characters (2) Total number of characters that a cell can contain: 32,767 characters[4]
XLS file format[5][6] Maximum of worksheet size is 65,536 rows by 256 columns. First row is column name. Icon_exclaim.gif Actual data size is 65,535 rows.


integrated solution for Excel limit 1 ~ limit 3

  • SELECT SUBSTRING(IF(LEFT(string_column, 1) = '-' OR LEFT(string_column, 1) = '=', CONCAT('\'', string_column), string_column), 1, 32767) FROM <table> LIMIT 1048576

相關文章

Two steps conversion ex: MySQL query -> CSV file -> Excel file

Step 1: Export the MySQL query -> CSV file

mysqldump: Got error: 1045: Access denied for user 'user_name'@'localhost' (using password: YES) when executing 'SELECT INTO OUTFILE'

Condition 1: If the rows count of MySQL query is larger than 65,535 rows. You can use MS Excel.

  • Cell contains return symbol should be replaced.

Condition 2: If the rows count of MySQL query is less than 65,535 rows. You can use LibreOffice Calc & MS Excel.

Step 2: Import CSV to XLSX/XLS file format.


Step 3: Data verification

  1. Verify the data rows count: Equal to the rows count of MySQL query. Not equal to 65,535 rows or less than the rows count of MySQL query.
  2. Verify the data column is in correct position
    • Icon_exclaim.gif Because the CSV is not well-formatted, sometimes the data column after imported to Excel is in wrong position. If the data size is less than 65,535 rows, convert CSV to Excel/XLS by LibreOffice Calc is recommended.
    • If the data size is larger than 65,535 rows, Adjust the MySQL query to avoid the column value contains the
      • enclosure character e.g. Tab key
      • escape the enclosure character e.g. " become ""
      • return symbol to separate different data row.

Technical issues: If it costs too much time to convert to Excel file

The important steps before generating CSV file. These steps reduce the problems when the CSV file was converted to Excel file.

  • Add delimiter character between different column ex: comma symbol (,) or tab symbol
  • Add enclosure character ex: double quote symbol (") or single quote symbol (')
  • Add escape character escape the column value if contains the enclosure character
  • Remove return symbol[7]:
    SELECT REPLACE(REPLACE(REPLACE(`my_column`, '\r\n', '   '), '\n', '   '), '\r', '   ') 

References