MySQL – Testing failing non-transactional statements

I was asked recently to confirm a consistent state of data in a non-transactional MySQL table after a failing statement updating multiple rows did not complete successfully.

Hmmm, this is what I did.

  • Created a MEMORY table
  • Populated with some data, and a Primary Key
  • Updated the Primary Key so that it failed with a Duplicate Key Error after updating only half the rows
  • Confirmed that the rows that were updated, were, and the rows that were not updated, were not
DROP TABLE IF EXISTS mem1;
CREATE TABLE mem1(
i1  INT UNSIGNED NOT NULL PRIMARY KEY,
c1 CHAR(10) NOT NULL,
dt TIMESTAMP)
ENGINE=MEMORY;

INSERT INTO mem1(i1,c1) VALUES (1,'a'), (2,'b'), (3,'c'), (4,'d'), (5,'e');
SELECT * FROM mem1;
+----+----+---------------------+
| i1 | c1 | dt                  |
+----+----+---------------------+
|  1 | a  | 2007-06-14 17:26:29 |
|  2 | b  | 2007-06-14 17:26:29 |
|  3 | c  | 2007-06-14 17:26:29 |
|  4 | d  | 2007-06-14 17:26:29 |
|  5 | e  | 2007-06-14 17:26:29 |
+----+----+---------------------+
5 rows in set (0.00 sec)

UPDATE mem1 SET i1 = 9 - i1 - SLEEP(1), c1='x' ORDER BY i1;
ERROR 1062 (23000): Duplicate entry '5' for key 1
SELECT * FROM mem1;
+----+----+---------------------+
| i1 | c1 | dt                  |
+----+----+---------------------+
|  8 | x  | 2007-06-14 17:29:05 |
|  7 | x  | 2007-06-14 17:29:05 |
|  6 | x  | 2007-06-14 17:29:05 |
|  4 | d  | 2007-06-14 17:28:36 |
|  5 | e  | 2007-06-14 17:28:36 |
+----+----+---------------------+
5 rows in set (0.00 sec)

While I was also hoping for the TIMESTAMP column to reflect when the row was modified, it was when the statement was executed.

This test did however prove the requirements. Simple when you think about it, but it took a few minutes to think about it the first time.

Tagged with: Databases MySQL

Producing Chi-Squared statistics with SQL

The Chi-Squared test is one of the most widely used statistical tests for categorical data. It comes in two flavors: the goodness-of-fit test asks whether an observed frequency distribution matches an expected one, while the test of independence asks whether two categorical variables are associated with each other.

Speaking at COSCUP 2026 — Planning your upgrade to MySQL 9.7

I am excited to be speaking at COSCUP 2026 in Taipei, Taiwan on August 8th and 9th. COSCUP (Conference for Open Source Coders, Users and Promoters) is one of the largest open source conferences in Asia, and it is always a privilege to present to the engaged and technically sharp community there.

Producing Two Sample T-Test statistics with SQL

The two sample t-test for equal variance is a statistical test to determine if the means of two groups are different enough that the difference is likely caused by some underlying difference, rather than random chance.