In this blog series, I’m describing how InnoDB locks data (tables and rows) in order to provide illusion to clients that their queries are executed one after another, and how this was improved in recent releases.

So far we saw that access right currently granted and waiting to be granted are represented as record locks and table locks objects in memory, which we can inspect via performance_schema.data_locks.…

In this blog series, I’m describing how InnoDB locks data (tables and rows) in order to provide illusion to clients that their queries are executed one after another, and how this was improved in recent releases.

As we’ve already seen, the order in which server pretends transactions are happening (the serialization order) is tied to the order in which locks are granted to transactions.…

In this  blog series, I’m describing how InnoDB locks data (tables and rows) in order to provide illusion to clients that their queries are executed one after another, and how this was improved in recent releases.
In InnoDB Data Locking – Part 1 “Introduction” I’ve introduced basic concepts required to understand current post:

• databases, tables, rows (like files on a shared drive, spreadsheets inside a file, and rows inside a spreadsheet)
• serializability of transactions (ability to explain states observed over time with a convincing story about relative order of parallel operations)
• timeouts (for misbehaving lock owners, and to resolve deadlocks)
• reader-writer lock (shared/exclusive access rights)
• starvation (permanent inflow of readers starving a writer waiting for its turn)
• queueing (FIFO, or priority)
• read views (read-only snapshots which allow stale reads concurrent to new writes)
• granularity of a lock (access right to everything vs.

All together now

Let’s now put together all that we’ve learned in InnoDB Data Locking – Part 2 “Locks” about table and record locks to understand following situation:

In InnoDB Data Locking – Part 1 “Introduction” we’ve described the difficulties Lock System tries to solve using metaphor of people trying to concurrently edit spreadsheets. While it might be useful metaphor to get some intuitions about the problem, to talk about solutions it helps to know at least a little about the “reality” this metaphor maps to.…

In this blog series, I’d like to introduce you gently to the topic on which I was working last 2 years, which is improving how InnoDB locks data (tables and rows) in order to provide illusion to clients that their queries are executed one after another, while in reality there is a lot of concurrency.…

The latest release of MySQL 8.0 introduces a new dynamic system variable @@innodb_buffer_pool_in_core_file which lets you omit the Buffer Pool’s memory content when generating a core file.

This change is an adaptation of a patch contributed by the Facebook team. We would like to thank and acknowledge this important and timely contribution by Facebook.…