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Displaying posts with tag: redo (reset)
MySQL Performance : 8.0 GA on IO-bound TPCC

This post is mainly inspired by findings from the previous testing of MySQL 8.0 on TPCC workload(s) and observations from IO-bound Sysbench OLTP on Optane -vs- SSD. But also by several "urban myths" I'm often hearing when discussing with users about their IO-bound OLTP performance problems :
Myth #1 : "if I'll double the number of my storage drives -- I'll get x2 times better TPS !"

  • this was mostly true during "HDD era", and again..
  • (ex.: a single thread app doing single random IO reads from a single HDD will not go faster by doing the same from 2x HDD -- similar like single thread workload will not run faster on 8CPU cores -vs- 2CPU cores, etc.)
  • all depends …
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MySQL Performance : 8.0 GA on IO-bound Sysbench OLTP with Optane -vs- SSD

MySQL Performance on IO-bound workloads is still extremely depending on the underlaying storage layer (thus is directly depending on your Storage Performance).. Indeed, flash storage is definitively changing the game, but even with flash there is, as usual, "flash and flash" -- all storage vendors are improving their stuff constantly, so every time you have something new to discover and to learn ;-)) During all my MySQL 8.0 GA tests I was very pleasantly surprised by IO performance delivered by Intel Optane SSD. However, what the storage device can deliver alone on pure IO tests is not at all the same to what you could observe when it's used by MySQL -- unfortunately, in the past I've observed many cases when with a device claimed to be x2 times faster we were even not observing 10% gain.. But MySQL 8.0 is probably the most best placed MySQL version today to re-visit all this IO-bound story (there are many "under-hood" changes in the code helping to …

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MySQL 8.0: New Lock free, scalable WAL design

The Write Ahead Log (WAL) is one of the most important components of a database. All the changes to data files are logged in the WAL (called the redo log in InnoDB). This allows to postpone the moment when the modified pages are flushed to disk, still protecting from data losses.…

MySQL Performance : 8.0 RW & Binlog impact

In the previous article I've intentionally skipped the topic related to Binlog impact on MySQL 8.0 Performance, because it's not a short story, nor a simple one..
In fact, for most of people Binlog in MySQL is generally representing and additional overhead, and historically it was true. Since MySQL 5.6 there is Binlog Group Commit (BGC) feature available, and it was rather doing well, decreasing the gap between "binlog=OFF" and "binlog=ON sync_bin=1". However, storage vendors are making flash drives more and more better from year to year.. And when we delivered MySQL 5.7 the scope of Binlog impact moved with code and flash improvements -- the main impact was no more coming from the I/O operations …

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MySQL Performance : 8.0 and Sysbench OLTP_RW / Update-NoKEY

This post is following previously published OLTP_RO results for MySQL 8.0 (latin1 and utf8mb4 charsets), and now is focusing on Sysbench RW workloads, particularly "mixed" OLTP_RW and Update-NoKey :

  • OLTP_RW : while this workload has writes, it's mainly driven by reads (OLTP_RO + 2 updates + delete + insert)
  • Update-NoKey : aggressively bombarding UPDATE queries (but with no changes on indexed columns)

The same 2S Skylake server was used as in previous tests :
Server configuration :

  • OS : Oracle Linux 7.4
  • CPU : 48cores-HT Intel Skylake 2.7Ghz (2CPU sockets (2S), Intel(R) Xeon(R) Platinum 8168 CPU)
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MySQL Performance: 8.0 re-designed REDO log & ReadWrite Workloads Scalability

This post is following the story of MySQL 8.0 Performance & Scalability started with article about 2.1M QPS obtained on Read-Only workloads. The current story will cover now our progress in Read-Write workloads..
Historically our Read-Only scalability was a big pain, as Read-Only (RO) workloads were often slower than Read-Write (sounds very odd: "add Writes to your Reads to go faster", but this was our reality ;-)) -- and things were largely improved here since MySQL 5.7 where we broke 1M QPS barrier and reached 1.6M QPS for the first time. However, improving Writes or mixed Read+Writes (RW) workloads is a much more complex story..
What are the main scalability …

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Redo Logging in InnoDB


InnoDB is a general-purpose storage engine that balances high reliability and high performance. It is a transactional storage engine and is fully ACID compliant, as would be expected from any relational database. The durability guarantee provided by InnoDB is made possible by the redo logs.

This article will provide an overview of the redo log subsystem or log subsystem of InnoDB. We will look at the following details:

  • The global log system object, which provides access to important data structures and information.
  • The mini-transaction (mtr), using which all redo log records are created.
  • The global in-memory log buffer (or just log buffer), into which the redo logs are written to from the mini transaction buffer. This log buffer will be periodically flushed to the log file on disk. …
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InnoDB logfiles

The unsung heroes of InnoDB are the logfiles. They are what makes InnoDB automatic crash recovery possible.

Database administrators of other DBMS may be familiar with the concept of a “redo” log. When data is changed, affected data pages are changed in the innodb_buffer_pool. Then, the change is written to the redo log, which in MySQL is the InnoDB logfile (ib_logfile0 and ib_logfile1). The pages are marked as “dirty”, and eventually get flushed and written to disk.

If MySQL crashes, there may be data that is changed that has not been written to disk. Those data pages were marked as “dirty” in the innodb_buffer_pool, but after a MySQL crash the innodb_buffer_pool no longer exists. However, they were written to the redo log. On crash recovery, MySQL can read the redo log (InnoDB log files) and apply any changes that were not written to disk.

That is the basic functionality of the InnoDB log files. Given this, …

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Oracle Standby Recovery Rate Monitoring

So you have created your standby database using the RMAN DUPLICATE command, you have set the ARCHIVE_LAG_TARGET to maintain a minimum lag target, and you have sorted out those nasty datafile missing errors using automatic file management. You’ve even added standby redo logs to improve the Mean Time To Recovery (MTTR). Now management are demanding [...]

Showing entries 1 to 9