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Planet MySQL
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Planet MySQL - https://planet.mysql.com
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MySQL Shorts - Episode 105 - MySQL Null-Safe Equality Operator for Accurate Filtering
MySQL's null-safe equality operator helps you write SQL queries that correctly match NULL values and retrieve records that ordinary equality comparisons miss. See how to filter assigned and unassigned support tickets using null-safe comparisons, and explore the operator's syntax and behavior in the MySQL Reference Manual: https://dev.mysql.com/doc/refman/9.7/...
Learn how the MySQL null-safe equality operator handles NULL values in SQL queries and helps retrieve records that standard equality comparisons can miss. This demo explains the difference between ordinary equality (=) and null-safe equality, showing how each operator evaluates NULL values and affects query results.
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AWS contributes a large-transaction binary log optimization to MySQL
When MySQL commits a large transaction carrying gigabytes of changes, writing it to the binary log (binlog) can freeze every other commit on the server for minutes. This includes transactions that touch unrelated data. This bottleneck is detrimental to applications that depend on low commit latency. On October 29, 2026, AWS shipped an optimization into community MySQL that removes this bottleneck. We call it Binary Log Optimization for Large Transactions (BOLT). It has been available in Amazon Aurora MySQL since v1.22.0 and in all currently supported major versions (Aurora MySQL 2.x, 3.x, and 8.4.x), where it’s always on for every customer. BOLT is planned to be released as part of a future MySQL innovation release.
BOLT provides three benefits. It makes binlog commit latency for large transactions independent of transaction size, it speeds up binlog crash recovery, and it improves throughput for workloads that mix small and large transactions. Our benchmarks confirm all three results. In this post, we show you the current bottleneck that large transactions hit when committing to the binlog, how BOLT removes that bottleneck on the commit path, and how it also speeds up recovery of large transactions.
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MySQL Community Spotlight - Vinicius Grippa
Vinicius shares how he got started with MySQL, the community members who inspire him, and his enthusiasm for performance troubleshooting, community events, and AI.
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FOSDEM 2027: Bringing the M-Ecosystem Together
One ecosystem, many projects, shared challenges. Join us in Brussels on Sunday, January 31, 2027, for the M-Ecosystem Devroom at FOSDEM!
Building on the tradition of the MariaDB, MySQL & Friends Devroom, this new chapter expands its scope and ambition, bringing together developers and contributors from across the open-source database ecosystem to share knowledge, tackle common challenges, and foster collaboration across projects.
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Naming Things is Hard
I shared a meme on LinkedIn because it made me laugh. Then I kept looking at the constraint name at the bottom.
PK__LAW__3214EC07B14E510A.
I would like to cooperate, officer, but I may need a minute to figure out what I did.
PK gives me a clue that this is a primary key constraint. LAW suggests the table involved. The rest gives me something to copy into a search box. A name such as pk_law_id would give me a much better starting point for understanding the violation.
That is a lot to ask of a meme, but it gets at something I care about when I build databases and write code: names should help the person reading them understand what is happening.
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