Getting count of insert/update rows from ON DUPLIC

Question

I have a statement that tries to insert a record and if it already exists, it simply updates the record.

INSERT INTO temptable (col1,col2,col3)
VALUES (1,2,3)
ON DUPLICATE KEY UPDATE col1=VALUES(col1), col2=VALUES(col2), col3=VALUES(col3);

The full statement has multiple inserts and I'm looking to count number of INSERTs against the UPDATEs. Can I do this with MySQL variables, I've yet to find a way to do this after searching.

Answer 1

if you want to get the number of records that have been inserted and updated separetly, you are to issue each statement separetly.

Answer 2

I know this is a bit old, but I was doing a bulk insert in PHP and needed to know exactly how many rows were inserted and updated (separately).

So I used this:

$dataCount = count($arrData); // number of rows in the statement
$affected  = mysql_affected_rows(); // mysqli_*, PDO's rowCount() or anything

$updated  = $affected - $dataCount;
$inserted = 2 * $dataCount - $affected;

Simple trace table:

-------------------------------
| data | affected | ins | upd |
-------------------------------
|    1 |        1 |   1 |   0 |
-------------------------------
|    2 |        2 |   2 |   0 |
|    2 |        3 |   1 |   1 |
|    2 |        4 |   0 |   2 |
-------------------------------
|    3 |        3 |   3 |   0 |
|    3 |        4 |   2 |   1 |
|    3 |        5 |   1 |   2 |
|    3 |        6 |   0 |   3 |
-------------------------------
|    4 |        4 |   4 |   0 |
|    4 |        5 |   3 |   1 |
|    4 |        6 |   2 |   2 |
|    4 |        7 |   1 |   3 |
|    4 |        8 |   0 |   4 |
-------------------------------
|    5 |        5 |   5 |   0 |
|    5 |        6 |   4 |   1 |
|    5 |        7 |   3 |   2 |
|    5 |        8 |   2 |   3 |
|    5 |        9 |   1 |   4 |
|    5 |       10 |   0 |   5 |
-------------------------------

Answer 3

I've accomplished what you're describing using a while loop so that each iteration creates a MySQL statement that affects one row. Within the loop, I run the mysql_affected_rows() and then increment a counter depending upon whether the value returned was a 0 or a 1. At the end of the loop, I echo both variables for viewing.

The complete wording from MySQL Docs regarding the mysql_affected_rows function is (notice there are 3 possible values returned - 0, 1, or 2):

For INSERT ... ON DUPLICATE KEY UPDATE statements, the affected-rows value per row is 1 if the row is inserted as a new row, 2 if an existing row is updated, and 0 if an existing row is set to its current values. If you specify the CLIENT_FOUND_ROWS flag, the affected-rows value is 1 (not 0) if an existing row is set to its current values.

(Sidenote - I set $countUpdate and $countInsert and $countUpdateNoChange to 0 prior to the while loop):

Here's the code that I developed that works great for me:

while (conditions...) {    
$sql = "INSERT INTO test_table (control_number, name) VALUES ('123', 'Bob')
    ON DUPLICATE KEY UPDATE name = 'Bob'";  

    mysql_query($sql) OR die('Error: '. mysql_error()); 

    $recordModType = mysql_affected_rows();

    if ($recordModType == 0) {
         $countUpdateNoChange++;
    }elseif($recordModType == 1){
         $countInsert++;
    }elseif($recordModType == 2){
         $countUpdate++;
    };
};

echo $countInsert." rows inserted<br>";
echo $countUpdateNoChange." rows updated but no data affected<br>";
echo $countUpdate." rows updated with new data<br><br>";

Hopefully, I haven't made any typos as I've recreated it to share while removing my confidential data.

Hope this helps someone. Good luck coding!

Answer 4

From Mysql Docs

In the case of "INSERT ... ON DUPLICATE KEY UPDATE" queries, the return value will be 1 if an insert was performed, or 2 for an update of an existing row.

Use mysql_affected_rows() after your query, if INSERT was performed it will give you 1 and if UPDATE was performed it will give you 2.

Answer 5

You should use mysql_affected_rows() just after your query.

http://dev.mysql.com/doc/refman/5.1/en/mysql-affected-rows.html