Description
Consider this example:
CREATE TABLE T1 (k integer not null primary key, v1 bigint, v2 bigint);
Now consider this batch:
UPSERT INTO T1 VALUES(0,0,1); UPSERT INTO T1 VALUES(0,1,1) ON DUPLICATE KEY UPDATE v1 = v1 + 2; commit();
Expected row state: 0, 2, 1
Actual: 0, 2, 0
The value of the column (v2) not updated in the conditional expression remains default. It's value should have been the one set in the regular upsert in the batch.
Now, the row exists. Consider another batch of updates
UPSERT INTO T1 VALUES(0, 7, 4); UPSERT INTO T1 VALUES(0,1,1) ON DUPLICATE KEY UPDATE v1 = v1 + 2; commit();
Expected row state: 0,2,1 -> 0, 9, 4
Actual: 0,2,0 -> 0, 4, 0
The conditional update expression is evaluated and applied on the row state already committed instead of on the regular update in the same batch. Also, v2 still remains 0 (the default value).
Now consider the case of a partial regular update following a conditional update:
UPSERT INTO T1 (k, v2) VALUES(0,100) ON DUPLICATE KEY UPDATE v1 = v1 + 2; UPSERT INTO T1 (k, v2) VALUES (0,125); commit();
Expected row state: 0, 9, 4 -> 0, 11, 125
Actual: 0, 4, 0 -> 0, 4, 125
Only the regular update is applied and the conditional update is completely ignored.
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