![]() Previous versions had only ascending or backward index scan, and MySQL had to do filesort if it needed a descending order (if filesort is needed, you might consider checking the value of max_length_for_sort_data). Some great added support that impacts MySQL performance for reads in version 8.0 is the ability to create an index in descending order (or forward index scans). It displays its efficiency in writes especially for servers with a high workload. MySQL 8.0 reveals a great improvements especially for doing reads. However, there’s actually outliers in the graphs which I didn’t include as they’re tiny tidbits of the result which would skew the graph. The graph above still shows the transactions it was able to process but separates the read from writes. Now, let’s proceed with the graph results! InnoDB Row Operations Please check the code here in this github repository. ![]() The scripts then generates *.csv files based on the dumped logs that were collected during the benchmark, then I used an Excel spreadsheet here to generate the graph from *.csv files. The script dumps global status and MySQL variables, collects CPU utilization, and parses InnoDB row operations handled by script innodb-ops-parser.py. Then it performs read/write load tests using /usr/share/sysbench/oltp_read_a script. So the script simply prepares the sbtest schema and populates tables and records. Mysql -h $host -e "SHOW GLOBAL VARIABLES" > $host-global-vars.log Mysql -h $host -e "SHOW GLOBAL STATUS" > $host-global-status.log Sb-run.sh #!/usr/bin/env "thread,cpu" > $-cpu.csv Sb-prepare.sh /usr/share/sysbench/oltp_read_a -db-driver=mysql -threads=1 -max-requests=0 -time=3600 -mysql-host=$host -mysql-user=$user -mysql-password=$password -mysql-port=$port -tables=10 -report-interval=1 -skip-trx=on -table-size=$table_size -rate=$rate -db-ps-mode=$ps_mode prepare Here are the following commands or script being used on this test: Commands and Scripts Usedįor this task, sysbench is used for testing and load simulation for the two environments. Technically, both nodes MySQL 5.7 and MySQL 8.0 are dormant and no active connections are going through the nodes, so it’s essentially a pure benchmarking test. To make life easier, I setup MySQL 5.7 Community version node with ClusterControl from a separate host then removed the node in a cluster and shutdown the ClusterControl host to make MySQL 5.7 node dormant (no monitoring traffic). Instead, both server versions uses mysql_native_password plus innodb_dedicated_server variable is OFF (default), which is a new feature of MySQL 8.0. The rest of the variables being set here for both versions (MySQL 5.7 and MySQL 8.0) are tuned up already by ClusterControl for its my.cnf template.Īlso, the user I used here does not conform to the new authentication of MySQL 8.0 which uses caching_sha2_password. innodb_max_dirty_pages_pct_lwm=10 # This is the default value in MySQL 8.0.innodb_max_dirty_pages_pct = 90 # This is the default value in MySQL 8.0. ![]() There are few notable variables that I have set for this benchmark as well, which are: MySQL 8.0 version: MySQL Community Server – GPL 8.0.14 MySQL 5.7 version: MySQL Community Server (GPL) 5.7.24 Storage: gp2 (SSD storage with minimum of 100 and maximum of 16000 IOPS) Server Setup and Environmentįor this benchmark, I intend to use a minimal setup for production using the following AWS EC2 environment: This blog post won’t be discussing the features of MySQL 8.0, but intends to benchmark its performance against MySQL 5.7 and see how it has improved then. With all of these cool features, enhancements, improvements that MySQL 8.0 offers, our team was interested to determine how well the current version MySQL 8.0 performs especially given that our support for MySQL 8.0.x versions in ClusterControl is on its way (so stay tuned on this). Security has been improved with the new addition of caching_sha2_password which is now the default authentication replacing mysql_native_password and offers more flexibility but tightened security which must use either a secure connection or an unencrypted connection that supports password exchange using an RSA key pair. Unlike previous versions, dictionary data was stored in metadata files and non-transactional tables. It’s now incorporated with a transactional data dictionary that stores information about database objects. Tons of new features have been added such as CTE (Common Table Expressions), Window Functions, Invisible Indexes, regexp (or Regular Expression)–the latter has been changed and now provides full Unicode support and is multibyte safe. For instance, *.frm, *.TRG, *.TRN, and *.par no longer exist. MySQL 8.0 brought enormous changes and modifications that were pushed by the Oracle MySQL Team.
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