Given a table like below, is there a single-query way to update the table from this:
| id | type_id | created_at | sequence |
|----|---------|------------|----------|
| 1 | 1 | 2010-04-26 | NULL |
| 开发者_StackOverflow中文版 2 | 1 | 2010-04-27 | NULL |
| 3 | 2 | 2010-04-28 | NULL |
| 4 | 3 | 2010-04-28 | NULL |
To this (note that created_at
is used for ordering, and sequence
is "grouped" by type_id
):
| id | type_id | created_at | sequence |
|----|---------|------------|----------|
| 1 | 1 | 2010-04-26 | 1 |
| 2 | 1 | 2010-04-27 | 2 |
| 3 | 2 | 2010-04-28 | 1 |
| 4 | 3 | 2010-04-28 | 1 |
I've seen some code before that used an @ variable like the following, that I thought might work:
SET @seq = 0;
UPDATE `log` SET `sequence` = @seq := @seq + 1
ORDER BY `created_at`;
But that obviously doesn't reset the sequence to 1 for each type_id.
If there's no single-query way to do this, what's the most efficient way?
Data in this table may be deleted, so I'm planning to run a stored procedure after the user is done editing to re-sequence the table.
You can use another variable storing the previous type_id (@type_id
). The query is ordered by type_id
, so whenever there is a change in type_id
, sequence has to be reset to 1 again.
Set @seq = 0;
Set @type_id = -1;
Update `log`
Set `sequence` = If(@type_id=(@type_id:=`type_id`), (@seq:=@seq+1), (@seq:=1))
Order By `type_id`, `created_at`;
I don't know MySQL very well, but you could use a sub query though it may be very slow.
UPDATE 'log' set 'sequence' = (
select count(*) from 'log' as log2
where log2.type_id = log.type_id and
log2.created_at < log.created_at) + 1
You'll get duplicate sequences, though, if two type_ids have the same created_at date.
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