Table of Contents |
---|
Key Points
References
...
https://dev.mysql.com/doc/mysql-router/8.0/en/mysql-router-rest-api-setup.html
mysql-router-rest-api-dev.mysql-61nbspA Simple MySQL Router REST API Guide.pdf
...
https://www.tarynpivots.com/post/how-to-rotate-rows-into-
columns-in-mysql/
mysql-pivot-table-from-case-stmt-x1.pdf
...
Procedure and generation examples
...
https://drive.google.com/open?id=0BxqKQGV-b4WQMlBYa041VFdQdTg
C:\Users\Jim Mason\Google Drive\_ptp\work\grails\_gdev\gtest1a.groovy
...
https://dev.mysql.com/doc/connector-j/8.0/en/connector-j-overview.html
...
Table of Contents |
---|
Key Points
References
Reference_description_with_linked_URLs_______________________ | Notes______________________________________________________________ |
---|---|
https://www.mysql.com/ | |
https://www.mysql.com/products/enterprise/mysql-datasheet.en.pdf | |
https://dev.mysql.com/doc/ | |
https://dev.mysql.com/downloads/ | |
https://dev.mysql.com/ | |
https://dev.mysql.com/doc/refman/8.0/en/upgrade-paths.html | MySQL upgrade paths from GA release A to release B on Windows, Linux |
m MySQL Workbench | m MySQL Workbench |
https://dev.mysql.com/downloads/ | MySQL community edition |
https://dev.mysql.com/doc/mysql-router/8.0/en/mysql-router-rest-api-setup.html mysql-router-rest-api-dev.mysql-61nbspA Simple MySQL Router REST API Guide.pdf | MySQL router for REST API app access |
https://www.mysql.com/products/enterprise/document_store.html | MySQL NoSQL documents |
https://www.w3resource.com/slides/index.php | MySQL overview concepts |
https://www.edureka.co/blog/mysql-tutorial/ | MySQL Tutorial - SQL but little on operations - very good, quick |
https://www3.ntu.edu.sg/home/ehchua/programming/sql/MySQL_Beginner.html | MySQL Tutorial - basic examples - ntu.edu |
https://serverfault.com/questions/361691/ways-to-auto-scale- mysql-servers | Scale MySQL w Write Master, Distribution Master, 5 Read Slaves |
https://www.oreilly.com/library/view/mysql-reference-manual/0596002653/ch04s06.html | MySQL language localization support - O'Reilly |
https://dev.mysql.com/doc/mysql-g11n-excerpt/8.0/en/charset.html | MySQL character sets |
https://www.tarynpivots.com/post/how-to-rotate-rows-into- | Case statement creates a Pivot Table can we generate a generic pivot function using a query result table as input |
mysql-upsert-model-chartio.com-How to INSERT If Row Does Not Exist UPSERT in MySQL.pdf | Upsert model in mysql |
Procedure and generation examples | |
https://drive.google.com/open?id=0BxqKQGV-b4WQMlBYa041VFdQdTg C:\Users\Jim Mason\Google Drive\_ptp\work\grails\_gdev\gtest1a.groovy | Groovy scripts for MySQL |
MySQL Connectors | |
https://dev.mysql.com/doc/connector-j/8.0/en/connector-j-overview.html | MySQL Connector/J Guide MySQL Connector/J X DevAPI Reference |
https://dev.mysql.com/doc/x-devapi-userguide/en/ | XDevAPI User Guide |
https://dev.mysql.com/doc/connector-net/en/ https://dev.mysql.com/doc/dev/connector-net/8.0/html/connector-net-reference.htm | MySQL .Net Connector Guide MySQL .Net Connector X DevAPI Reference |
https://dev.mysql.com/doc/connector-odbc/en/ | MySQL ODBC Connector Guide ( for pbi ? ) |
https://dev.mysql.com/doc/dev/connector-nodejs/8.0/ | MySQL Nodejs Connector Guide |
https://dev.mysql.com/doc/connector-python/en/ | MySQL Python Connector Guide |
MySQL comparisons | |
https://logz.io/blog/relational-database-comparison/ compare-mysql-logz.io-Sqlite vs MySQL vs PostgreSQL A Comparison of compare-mysql-logz-Sqlite vs MySQL vs PostgreSQL A Comparison of Relational Databases.pdf | MySQL Postgresql Sqlite - 2020 |
https://www.geeksforgeeks.org/difference-between-mysql-and-postgresql/ | Postgres = full SQL w external procs MySQL has work arounds for recursion, java procs as table requests |
https://blog.panoply.io/postgresql-vs.-mysql | Postgres vs MySQL many db comparison posts |
https://www.postgresqltutorial.com/postgresql-vs-mysql/ | Postgres vs MySQL |
https://www.guru99.com/postgresql-vs-mysql-difference.html | Postgres vs MySQL - Guru 99 some facts listed are not necessarily current on MySQL now. Skipped the ability in MySQL to address issues my review raises. |
Postgres vs MySQL - Jim comparison I'll give the tutorial credit for factual accuracy - that's good. As a data architect using MySQL, 75% of those limitations are easily solved using MySQL: recursion, materialized views, external procedures, application data replays, automated database change management, automated event streams etc. It has full ACID compliance using InnoDB and scales well for big data projects: 3.2 billion rows written by a single server over 19 hours on an older version of MySQL. | |
https://stackshare.io/pinterest/using-kafka-to-throttle-qps-on-mysql- shards-in-bulk-write-apis | Use Kafka to manage qps on MySQL shards |
Performance Solutions | |
Scale MySQL with partitions for Nodejs | |
Key Features
The MySQL Community Edition includes:
- SQL and NoSQL for developing both relational and NoSQL applications
- MySQL Document Store including X Protocol, XDev API and MySQL Shell
- Transactional Data Dictionary with Atomic DDL statements for improved reliability
- Pluggable Storage Engine Architecture (InnoDB, NDB, MyISAM, etc)
- MySQL Replication to improve application performance and scalability
- MySQL Group Replication for replicating data while providing fault tolerance, automated failover, and elasticity
- MySQL InnoDB Cluster to deliver an integrated, native, high availability solution for MySQL
- MySQL Router for transparent routing between your application and any backend MySQL Servers
- the router supports configuration of REST APIs linking apps to MySQL DB
- MySQL Partitioning to improve performance and management of large database applications
- Stored Procedures to improve developer productivity
- Triggers to enforce complex business rules at the database level
- Views to ensure sensitive information is not compromised
- Performance Schema for user/application level monitoring of resource consumption
- Information Schema to provide easy access to metadata
- MySQL Connectors (ODBC, JDBC, .NET, etc) for building applications in multiple languages
- MySQL Workbench for visual modeling, SQL development and administration
Available on over 20 platforms and operating systems including Linux, Unix, Mac and Windows.
Key Concepts
MySQL is an open-source, high performance database server with a variety of connectivity options.
It combines multiple database server types into a single package:
- RDB -Relational Database Server
- NoSQL - JSON document server that can store, update, query using SQL ( similar to Mongoose with MongoDB )
- Wide Column Tables - used in high performance query operations for aggregate reporting over denormalized data
- Geo location - When geolocation info stored in JSON docs, geolocation queries can be executed
The MySQL workbench provides an easy admin / developer toolset to view, manage the MySQL server, schedule and run batch jobs, view performance and more.
Almost any SQL client can connect to MySQL server ( eg Squirrel, and more )
Many open-source, visual reporting tools can use MySQL ( BIRT, Grafana, PowerBI and more )
MySQL install
...
MySQL Connector/J Guide
MySQL Connector/J X DevAPI Reference
...
https://dev.mysql.com/doc/connector-net/en/
https://dev.mysql.com/doc/dev/connector-net/8.0/html/connector-net-reference.htm
MySQL .Net Connector Guide
...
Windows install
MySQL Php Driver install
...
...
https://logz.io/blog/relational-database-comparison/
compare-mysql-logz.io-Sqlite vs MySQL vs PostgreSQL A Comparison of
Relational Databases.pdf
compare-mysql-logz-Sqlite vs MySQL vs PostgreSQL A Comparison of Relational Databases.pdf
...
https://blog.panoply.io/postgresql-vs.-mysql
...
Postgres vs MySQL
many db comparison posts
...
Postgres vs MySQL - Jim comparison
I'll give the tutorial credit for factual accuracy - that's good.
If you look at the listed limitations for MySQL, most of those are correct.
Not skilled in Postgres but cover DB2, SQL Server, Oracle, Mongo. Couchdb, Derby and more. Maybe the most attractive feature is the data types compared to MySQL.
As a data architect using MySQL, 75% of those limitations are easily solved using MySQL: recursion, materialized views, external procedures, application data replays, automated database change management, automated event streams etc. It has full ACID compliance using InnoDB and scales well for big data projects: 3.2 billion rows written by a single server over 19 hours on an older version of MySQL.
...
Key Features
The MySQL Community Edition includes:
- SQL and NoSQL for developing both relational and NoSQL applications
- MySQL Document Store including X Protocol, XDev API and MySQL Shell
- Transactional Data Dictionary with Atomic DDL statements for improved reliability
- Pluggable Storage Engine Architecture (InnoDB, NDB, MyISAM, etc)
- MySQL Replication to improve application performance and scalability
- MySQL Group Replication for replicating data while providing fault tolerance, automated failover, and elasticity
- MySQL InnoDB Cluster to deliver an integrated, native, high availability solution for MySQL
- MySQL Router for transparent routing between your application and any backend MySQL Servers
- the router supports configuration of REST APIs linking apps to MySQL DB
- MySQL Partitioning to improve performance and management of large database applications
- Stored Procedures to improve developer productivity
- Triggers to enforce complex business rules at the database level
- Views to ensure sensitive information is not compromised
- Performance Schema for user/application level monitoring of resource consumption
- Information Schema to provide easy access to metadata
- MySQL Connectors (ODBC, JDBC, .NET, etc) for building applications in multiple languages
- MySQL Workbench for visual modeling, SQL development and administration
Available on over 20 platforms and operating systems including Linux, Unix, Mac and Windows.
Key Concepts
MySQL is an open-source, high performance database server with a variety of connectivity options.
It combines multiple database server types into a single package:
- RDB -Relational Database Server
- NoSQL - JSON document server that can store, update, query using SQL ( similar to Mongoose with MongoDB )
- Wide Column Tables - used in high performance query operations for aggregate reporting over denormalized data
- Geo location - When geolocation info stored in JSON docs, geolocation queries can be executed
The MySQL workbench provides an easy admin / developer toolset to view, manage the MySQL server, schedule and run batch jobs, view performance and more.
Almost any SQL client can connect to MySQL server ( eg Squirrel, and more )
Many open-source, visual reporting tools can use MySQL ( BIRT, Grafana, PowerBI and more )mysqlnd/
The MySQL native driver for PHP (mysqlnd) is a drop-in replacement for the MySQL Client Library (libmysql) for the PHP script language.
PHP MySQL extensions
The PHP MySQL extensions are lightweight wrappers on top of a C client library. There are 3 PHP MySQL extensions:
- ext/mysql (not recommended)
- ext/mysqli
- PDO_MySQL
Extension Feature Comparison »
It is recommended to use either the mysqli or PDO_MySQL extensions. It is not recommended to use the old mysql extension for new development.
MACOS - Linux install
download community edition package
install for all users
for v8x, use old password encryption vs higher encryption
set root password
Syn#
decide if MySQL server should start automatically or manually
Troubleshoot failed server startup
https://dev.mysql.com/doc/refman/8.0/en/starting-server-troubleshooting.html
Log files are located in the data directory (typically C:\Program Files\MySQL\MySQL Server 8.0\data
on Windows, /usr/local/mysql/data
for a Unix/Linux binary distribution, and /usr/local/var
for a Unix/Linux source distribution). Look in the data directory for files with names of the form
and host_name
.err
, where host_name
.loghost_name
is the name of your server host. Then examine the last few lines of these files. Use tail
to display them:
shell> tail host_name.err shell> tail host_name.log
jim-macbook:/ jimmason$ cd /usr/local/mysql
jim-macbook:mysql jimmason$ ls -l
total 552
-rw-r--r-- 1 root wheel 276551 Jul 1 03:53 LICENSE
-rw-r--r-- 1 root wheel 666 Jul 1 03:53 README
drwxr-xr-x 35 root wheel 1120 Aug 29 22:45 bin
drwxr-x--- 27 _mysql _mysql 864 Aug 29 23:42 data
drwxr-xr-x 5 root wheel 160 Jul 1 05:42 docs
drwxr-xr-x 16 root wheel 512 Jul 1 05:42 include
drwxr-x--- 2 _mysql _mysql 64 Aug 29 22:53 keyring
drwxr-xr-x 17 root wheel 544 Aug 29 22:45 lib
drwxr-xr-x 4 root wheel 128 Jul 1 05:42 man
drwxr-xr-x 34 root wheel 1088 Jul 1 05:42 share
drwxr-xr-x 5 root wheel 160 Jul 1 05:42 support-files
tailing log shows security error running mysqld as root user
2021-08-30T03:48:11.926750Z 0 [ERROR] [MY-010123] [Server] Fatal error: Please read "Security" section of the manual to find out how to run mysqld as root!
https://stackoverflow.com/questions/41995912/macos-cant-start-mysql-server
A sample my.cnf config file
my.cnf:
[client]
port = 3306
socket = /tmp/mysql.sock
[mysqld]
port = 3306
socket = /tmp/mysql.sock
datadir = /usr/local/mysql-5.7.17-macos10.12-x86_64/data
tmpdir = /tmp
MySQL admin
MySQLD default login
...
https://www.a2hosting.com/kb/developer-corner/mysql/reset-mysql-root-password-mysql-root-password
https://tableplus.com/blog/2018/11/what-is-the-default-username-password-in-mysql.html
Access server environment to reset
You must have root access on the server to reset MySQL's root password.
if remote, login with ssh
You must run the commands in the following steps as the root user. Therefore, you can either log in directly as the root user (which is not recommended for security reasons), or use the su or sudo commands to run the commands as the root user.
Stop the MySQL service or daemon first
service mysql stop
or
mysqld stop
...
mysql client login to validate
mysql -u jemadm -pmypasswordp
mypassword
select version();
exit;
-- console.log(`user Syn$ logged in`);
...
var mysqlx = require('@mysql/xdevapi');
// Connect to server on localhost
mysqlx
.getSession({
user: 'user',
password: 'password',
host: 'localhost',
port: '33060'
})
.then(function (session) {
var db = session.getSchema('test');
// Use the collection 'my_collection'
var myColl = db.getCollection('my_collection');
// Specify which document to find with Collection.find() and
// fetch it from the database with .execute()
return myColl
.find('name like :param')
.limit(1)
.bind('param', 'L%')
.execute(function (doc) {
console.log(doc);
});
})
.catch(function (err) {
// Handle error
});
Java ex
import com.mysql.cj.xdevapi.*;
// Connect to server on localhost
Session mySession = new SessionFactory().getSession("mysqlx://localhost:33060/test?user=user&password=password");
Schema myDb = mySession.getSchema("test");
// Use the collection 'my_collection'
Collection myColl = myDb.getCollection("my_collection");
// Specify
...
which
...
document to
...
import com.mysql.cj.xdevapi.*;
// Connect to server on localhost
Session mySession = new SessionFactory().getSession("mysqlx://localhost:33060/test?user=user&password=password");
Schema myDb = mySession.getSchema("test");
// Use the collection 'my_collection'
Collection myColl = myDb.getCollection("my_collection");
// Specify which document to find with Collection.find() and
// fetch it from the database with .execute()
DocResult myDocs = myColl.find("name like :param").limit(1).bind("param", "L%").execute();
// Print document
System.out.println(myDocs.fetchOne());
mySession.close();
Using Grab for Groovy to load JDBC driver
https://gist.github.com/jlmelville/57af8e92a2211189178a
// MySQL
@Grab(group='com.mysqll', module='postgresql', version='9.3-1101-jdbc41')
def url = "jdbc:postgresql://${hostname}:${port}/${db}"
def driver = "org.postgresql.Driver"
def validationQuery = "select 1"
// Postgres
@Grab(group='org.postgresql', module='postgresql', version='9.3-1101-jdbc41')
def url = "jdbc:postgresql://${hostname}:${port}/${db}"
def driver = "org.postgresql.Driver"
def validationQuery = "select 1"
MySQL .Net Connector
https://dev.mysql.com/doc/connector-net/en/connector-net-connections.html
Troubleshooting .Net Connector
https://dev.mysql.com/doc/connector-net/en/connector-net-connections-errors.html
MySQL ODBC Connector
https://dev.mysql.com/doc/refman/8.0/en/connector-odbc-info.html
Manage MySQL Query Load with Kafka
https://stackshare.io/pinterest/using-kafka-to-throttle-qps-on-mysql-shards-in-bulk-write-apis
To support high QPS from internal clients at the same time, all requests from them should be stored temporarily in the platform and processed at a controlled speed. This is where Kafka makes a good fit for these purposes.
- Kafka can handle very high qps write and read.
- Kafka is a reliable distributed message storage system to buffer batch requests so that requests are processed at a controlled rate.
- Kafka can leverage the re-balancing of load and manage consumers automatically.
- Each partition is assigned to one consumer exclusively (in the same consumer group) and the consumer can process requests with good rate-limiting.
- Requests in all partitions are processed by different consumer processors simultaneously so that throughput is very high.
MariaDB compare to MySQL DB - 2020
MariaDB vs MySQL Key Differences Comparing MySQL 80 with MariaDB 105.pdf gdrv
The goal of this article is to evaluate and highlight the main similarities and differences between the MySQL Server Database and the MariaDB Server Database. We’ll look into performance aspects, security, main features, and list all aspects which need to be considered before choosing the right database for your requirements.
For MySQL, we can see names such as Facebook, Github, YouTube, Twitter, PayPal, Nokia, Spotify, Netflix and more.
For MariaDB, we can see names such as Redhat, DBS, Suse, Ubuntu, 1&1, Ingenico, Gaming Innovation Group, BlaBla Cars and more.
Oracle DB compare to MySQL DB
https://docs.oracle.com/cd/E12151_01/doc.150/e12155/oracle_mysql_compared.htm#CHDIIBJH
Oracle and MySQL Compared.pdf gdrv
MySQL Procedures Tutorial - W3C
https://www.w3resource.com/mysql/mysql-procedure.php
MySQL External Language Procedures - OReilly
https://docs.huihoo.com/mysql/2008/A-Tour-of-External-Language-Stored-Procedures-for-MySQL.pdf
mysql-external-language-stored-procs-2008.pdf
MySQL External Procedure RFC
https://dev.mysql.com/worklog/task/?id=820
Potential Value Opportunities
...
find with Collection.find() and
// fetch it from the database with .execute()
DocResult myDocs = myColl.find("name like :param").limit(1).bind("param", "L%").execute();
// Print document
System.out.println(myDocs.fetchOne());
mySession.close();
Using Grab for Groovy to load JDBC driver
https://gist.github.com/jlmelville/57af8e92a2211189178a
// MySQL
@Grab(group='com.mysqll', module='postgresql', version='9.3-1101-jdbc41')
def url = "jdbc:postgresql://${hostname}:${port}/${db}"
def driver = "org.postgresql.Driver"
def validationQuery = "select 1"
// Postgres
@Grab(group='org.postgresql', module='postgresql', version='9.3-1101-jdbc41')
def url = "jdbc:postgresql://${hostname}:${port}/${db}"
def driver = "org.postgresql.Driver"
def validationQuery = "select 1"
MySQL .Net Connector
https://dev.mysql.com/doc/connector-net/en/connector-net-connections.html
Troubleshooting .Net Connector
https://dev.mysql.com/doc/connector-net/en/connector-net-connections-errors.html
MySQL ODBC Connector
https://dev.mysql.com/doc/refman/8.0/en/connector-odbc-info.html
Manage MySQL Query Load with Kafka
https://stackshare.io/pinterest/using-kafka-to-throttle-qps-on-mysql-shards-in-bulk-write-apis
To support high QPS from internal clients at the same time, all requests from them should be stored temporarily in the platform and processed at a controlled speed. This is where Kafka makes a good fit for these purposes.
- Kafka can handle very high qps write and read.
- Kafka is a reliable distributed message storage system to buffer batch requests so that requests are processed at a controlled rate.
- Kafka can leverage the re-balancing of load and manage consumers automatically.
- Each partition is assigned to one consumer exclusively (in the same consumer group) and the consumer can process requests with good rate-limiting.
- Requests in all partitions are processed by different consumer processors simultaneously so that throughput is very high.
MariaDB compare to MySQL DB - 2020
MariaDB vs MySQL Key Differences Comparing MySQL 80 with MariaDB 105.pdf gdrv
The goal of this article is to evaluate and highlight the main similarities and differences between the MySQL Server Database and the MariaDB Server Database. We’ll look into performance aspects, security, main features, and list all aspects which need to be considered before choosing the right database for your requirements.
For MySQL, we can see names such as Facebook, Github, YouTube, Twitter, PayPal, Nokia, Spotify, Netflix and more.
For MariaDB, we can see names such as Redhat, DBS, Suse, Ubuntu, 1&1, Ingenico, Gaming Innovation Group, BlaBla Cars and more.
Oracle DB compare to MySQL DB
https://docs.oracle.com/cd/E12151_01/doc.150/e12155/oracle_mysql_compared.htm#CHDIIBJH
Oracle and MySQL Compared.pdf gdrv
MySQL Procedures Tutorial - W3C
https://www.w3resource.com/mysql/mysql-procedure.php
MySQL External Language Procedures - OReilly
https://docs.huihoo.com/mysql/2008/A-Tour-of-External-Language-Stored-Procedures-for-MySQL.pdf
mysql-external-language-stored-procs-2008.pdf
MySQL External Procedure RFC
https://dev.mysql.com/worklog/task/?id=820
Potential Value Opportunities
Potential Challenges
Manual uninstall of MySQL - MACOS
https://community.jaspersoft.com/wiki/uninstall-mysql-mac-os-x
You unable to install an older version of MySql even though you thought you have removed everything.
Resolution
To uninstall MySQL and completely remove it (including all databases) from your Mac do the following:
- Open a terminal window
- Use mysqldump to backup your databases to text files!
- Stop the database server
sudo rm /usr/local/mysql
sudo rm -rf /usr/local/mysql*
sudo rm -rf /Library/StartupItems/MySQLCOM
sudo rm -rf /Library/PreferencePanes/My*
edit /etc/hostconfig and remove the line MYSQLCOM=-YES-
rm -rf ~/Library/PreferencePanes/My*
sudo rm -rf /Library/Receipts/mysql*
sudo rm -rf /Library/Receipts/MySQL*
sudo rm -rf /private/var/db/receipts/*mysql*
The last three lines are particularly important as otherwise, you can't install an older version of MySQL even though you think that you've completely deleted the newer version!
Auto-scale MySQL using Write Master - Read Slave replicas
...
The conditional logic of the CASE
expression works hand in hand with the aggregate function to only get a total of the prod_name
that you want in each column. Since we have 3 products, then you’d write 3 sum(case...
expressions for each column. Here is a demo on SQL Fiddle. This query will give a result of:
REP_NAME | SHOES | PANTS | SHIRT |
---|---|---|---|
Joe | 19 | 148 | 13 |
John | 22 | 5 | 27 |
Sally | 89 | 23 | 650 |
MySQL procedure example
...
Joe | 19 | 148 | 13 |
John | 22 | 5 | 27 |
Sally | 89 | 23 | 650 |
MySQL procedure example
Create a procedure with a parm and a result set
-- prepared stmt example
set @aproduct = 'Pants';
prepare stmt1 from '
select p.* from products as p
where p.prod_name like ?';
execute stmt1 using @aproduct;
deallocate prepare stmt1;
-- procedure example - normally use create definer for security by roles
delimiter ;;
CREATE PROCEDURE `zListProducts`(IN increment INT, OUT acounter INT)
DETERMINISTIC
-- SQL SECURITY INVOKER
BEGIN
DECLARE counter INT DEFAULT 0;
WHILE counter < 10 DO
SET counter = counter + increment;
END WHILE;
SET acounter = counter;
END;;
delimiter ;
Call a procedure with a parm and a result set
...
Call a procedure with a parm and a result set
...
SET @increment = 2;
SET @acounter = 22;
select @increment;
CALL `zListProducts`(@increment, @acounter);
select @acounter;
MySQL dynamic statements using SQL varialbles @myvar etc
Temporal DB Tables in MySQL
https://en.wikipedia.org/wiki/Temporal_database
A temporal database stores data relating to time instances. It offers temporal data types and stores information relating to past, present and future time. Temporal databases could be uni-temporal, bi-temporal or tri-temporal.
More specifically the temporal aspects usually include valid time, transaction time or decision time.
- Valid time is the time period during which a fact is true in the real world.
- Transaction time is the time at which a fact was recorded in the database.
- Decision time is the time at which the decision was made about the fact.
MariaDB of a temporal table with application and system time
If your application needs to utilize both system-versioning and application-time periods, you can combine them in bitemporal tables. The earlier instructions for maintaining each type of temporal data applies.
CREATE TABLE coupons_new (
id INT UNSIGNED,
name VARCHAR(255),
date_start DATE,
date_end DATE,
PERIOD FOR valid_period(date_start, date_end)
) WITH SYSTEM VERSIONING;
This creates a table with two time periods, the arbitrary one based on the two DATE
columns for application-time periods, and the internal SYSTEM_TIME
for system-versioning.
You may find this useful in applications where you need an audit trail for data change while still needing to perform operations dependent on application-time periods.
Step-by-step guide for Example
...