Few weeks ago with a big curiosity I was reading several articles published by Percona about TPCC Benchmark results and MySQL 8.0 "checkpointing" issues..

Unfortunately, in these articles there was no any explanation nor any tentative to understand what is going on, an probably at least try and validate some "first coming in mind" tuning / troubleshooting options.. (And even no any try to show in action so often advertised PMM, and see on what it'll point ?)..

All in all, in the following article I'll try to feel up the "white holes" left in this TPCC testing..

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When you create a general tablespace in MySQL 8.0, you can choose the directory where the associated datafile is created.

CREATE TABLESPACE tablespace_name ADD DATAFILE ‘/my/table/space/dir’;

However, that directory must be known to InnoDB. Known directories are defined by the following settings: datadir,  innodb_data_home_dir,  innodb_undo_directory  &  innodb_directories.…

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I would say that innodb_rollback_on_timeout is a very important parameter. In this blog, I am going to explain “innodb_rollback_on_timeout” and how it affects the transaction behavior at the MySQL level. I describe two scenarios with practical tests, as it would be helpful to understand this parameter better.

What is innodb_rollback_on_timeout?

The parameter Innodb_rollback_on_timeout will control the behavior of the transaction when a failure occurs with timeout.

• If –innodb-rollback-on-timeout=OFF ( default ) is specified, InnoDB rollbacks only the last statement on a transaction timeout.
• If –innodb-rollback-on-timeout=ON is specified, a transaction timeout causes InnoDB to abort and roll back the entire transaction.

Let’s conduct the test with the …

A new release of MySQL was out on July 13 (8.0.21).
Among all the changes, there are some that I have already tested and that I really appreciate.

Who stopped the MySQL server?

In previous releases, I can already see in the error log file who stopped the MySQL server if this was done through the shutdown statement.
In MySQL 8.0.20:

mysql> shutdown;
Query OK, 0 rows affected (0.00 sec)
mysql> exit;
Bye
# tail -2 /u01/app/mysql/admin/mysqld2/log/mysqld2.err
2020-07-23T20:39:08.049064+02:00 9 [System] [MY-013172] [Server] Received SHUTDOWN from user root. Shutting down mysqld (Version: 8.0.20).
2020-07-23T20:39:09.796726+02:00 0 [System] [MY-010910] [Server] /u01/app/mysql/product/mysql-8.0.20/bin/mysqld: Shutdown complete (mysqld 8.0.20)  MySQL Community Server - GPL.

In MySQL 8.0.21:

mysql> …

A new release of MySQL was out on July 13 (8.0.21).
Among all the changes, there are some that I have already tested and that I really appreciate.

Who stopped the MySQL server?

In previous releases, I can already see in the error log file who stopped the MySQL server if this was done through the shutdown statement.
In MySQL 8.0.20:

mysql> shutdown;
Query OK, 0 rows affected (0.00 sec)
mysql> exit;
Bye
# tail -2 /u01/app/mysql/admin/mysqld2/log/mysqld2.err
2020-07-23T20:39:08.049064+02:00 9 [System] [MY-013172] [Server] Received SHUTDOWN from user root. Shutting down mysqld (Version: 8.0.20).
2020-07-23T20:39:09.796726+02:00 0 [System] [MY-010910] [Server] /u01/app/mysql/product/mysql-8.0.20/bin/mysqld: Shutdown complete (mysqld 8.0.20)  MySQL Community Server - GPL.

In MySQL 8.0.21:

mysql> …

The TPCC workload "mystery" exposed in the following post was already clarified the last year, and I've presented explanations about the observed problem during PerconaLIVE-2019. But slides are slides, while article is article ;-)) So, I decided to take a time to write a few lines more about, to keep this post as a reference for further TPCC investigations..

The "mystery" is related to observed scalability issues on MySQL 8.0 under the given TPCC workload -- just that on the old aged DBT-2 workload (TPCC variation) I was getting much higher TPS when running on 2 CPU Sockets, comparing to1 CPU Socket, which is was not at all the case for Sysbench-TPCC.

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As the name indicates, an undo log record contains information about how to undo the recent changes by a transaction. When a transaction writes data, it always makes writes on the tablespace files. InnoDB Undo log stores copy of data that is being modified by any current transaction. So, at this point in time if any other transaction queries for the original data (row) which is being modified,  the undo logs provide the same and serve the purpose. This is what provides a consistent read view ( based on isolation ) during any data modifications.

Here in the above representation, Transaction T1 modifies the data (Data-1). During the time of modification to ensure the reads are consistent, transactions T2  and T3 are given access only to the copy (previous row version) of Data -1 which is stored in the “UNDO” …

Just recently, I have been asked to look into what a Disaster Recovery site for InnoDB Cluster would look like.

If you’re reading this, then I assume you’re familiar with what MySQL InnoDB Cluster is, and how it is configured, components, etc.

Reminder: InnoDB Cluster (Group Replication, Shell & Router) in version 8.0 has had serious improvements from 5.7. Please try it out.

So, given that, and given that we want to consider how best to fulfill the need, i.e. create a DR site for our InnoDB Cluster, let’s get started.

Basically I’ll be looking at the following scenario:

InnoDB Cluster Source site with a Group Replication Disaster Recovery Site.

Now, just before we get into the nitty-gritty, here’s the scope.

Life is already hard enough, so we want as much automated as possible, so, yes, InnoDB Cluster gets some of that done, but there are other parts we will still have …

A common MySQL strategy to perform updates with accumulating functions is to employ user-defined variables, using the UPDATE [...] SET mycol = (@myvar := EXPRESSION(@myvar, mycol)) pattern.

This pattern though doesn’t play well with the optimizer (leading to non-deterministic behavior), so it has been deprecated. This left a sort of void, since the (relatively) sophisticated logic is now harder to reproduce, at least with the same simplicity.

In this article, I’ll have a look at two ways to apply such logic: using, canonically, window functions, and, a bit more creatively, using recursive CTEs.

• Requirements and background
• …

In this post, the third in a series explaining the internals of InnoDB flushing, we’ll focus on tuning. (Others in the series can be seen at InnoDB Flushing in Action for Percona Server for MySQL and Give Love to Your SSDs – Reduce innodb_io_capacity_max!)

Understanding the tuning process is very important since we don’t want to make things worse or burn our SSDs. We proceed with one section per variable or closely-related variables. The variables are also grouped in sections based on the version of MySQL or Percona Server for MySQL where they are valid. A given variable may be present more …