Functionality introduced in version 5.1.9
      The CSV storage engines supports the CHECK and
      REPAIR commands to verify and if possible
      repair a damaged CSV table.
    
      When running the CHECK command, the CSV file
      will be checked for validity by looking for the correct field
      separators, escaped fields (matching quotes and/or missing
      quotes), the correct number of fields compared to the table
      definition and the existence of a corresponding CSV metafile. The
      first invalid row discovered will report an error. Checking a
      valid table produces output like that shown below:
    
mysql> check table csvtest;
+--------------+-------+----------+----------+
| Table        | Op    | Msg_type | Msg_text |
+--------------+-------+----------+----------+
| test.csvtest | check | status   | OK       |
+--------------+-------+----------+----------+
1 row in set (0.00 sec)
A check on a corrupted table returns a fault:
mysql> check table csvtest;
+--------------+-------+----------+----------+
| Table        | Op    | Msg_type | Msg_text |
+--------------+-------+----------+----------+
| test.csvtest | check | error    | Corrupt  |
+--------------+-------+----------+----------+
1 row in set (0.01 sec)
      If the check fails, the table is marked as crashed (corrupt). Once
      a table has been marked as corrupt, it is automatically repaired
      when you next run CHECK or execute a
      SELECT statement. The corresponding
      corrupt status and new status will be displayed when running
      CHECK:
    
mysql> check table csvtest;
+--------------+-------+----------+----------------------------+
| Table        | Op    | Msg_type | Msg_text                   |
+--------------+-------+----------+----------------------------+
| test.csvtest | check | warning  | Table is marked as crashed |
| test.csvtest | check | status   | OK                         |
+--------------+-------+----------+----------------------------+
2 rows in set (0.08 sec)
      To repair a table you can use REPAIR, this
      copies as many valid rows from the existing CSV data as possible,
      and then replaces the existing CSV file with the recovered rows.
      Any rows beyond the corrupted data are lost.
    
mysql> repair table csvtest;
+--------------+--------+----------+----------+
| Table        | Op     | Msg_type | Msg_text |
+--------------+--------+----------+----------+
| test.csvtest | repair | status   | OK       |
+--------------+--------+----------+----------+
1 row in set (0.02 sec)
Note that during repair, only the rows from the CSV file up to the first damaged row are copied to the new table. All other rows from the first damaged row to the end of the table are removed, even valid rows.


User Comments
Add your own comment.