Overview of MySQL Optimization

Optimization at the database level

Database performance depends on several factors at the database level, such as tables, queries, and configuration settings.

1. Are the tables structured properly?

2. In particular, do the columns have the right data types, and does each table have the appropriate columns for the type of work?

3. Are the right indexes in place to make queries efficient?

4. Are you using the appropriate storage engine for each table?

5. Does the application use an appropriate locking strategy?

6. Are all memory areas used for caching sized correctly?

Optimizing at the Hardware Level

1. Disk seeks. It takes time for the disk to find a piece of data

2. Disk reading and writing

3. CPU cycle

4. Memory bandwidth

The information below i get from http://dev.mysql.com/doc/refman/8.0/en/optimize-overview.html

Thanks for reading this.


Pankaj K.

Introduction to the Postgresql database 14-server setup

server configuration

1 Setting parameters

2 File location

3 Links and authorization

3.1 Link settings

3.2 Security and authorization

4 Resource consumption

4.1 Memory

4.2 Use of Kernel Resources

4.3 cost-based vacuum delay

4.4 Backend writer process

4.5 Asynchronous behavior

5 Write header file log

5.1 Settings

5.2 Check points


List of new features of Oracle 19c
Labels (space separated): Oracle 19c

Article Directory
List of new features of Oracle 19c
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Comparison of sql and mysql

1. Connection string
sql: Initial Catalog(database)=x; — database name
Data Source(source)=x;
— server Persist Security Info=True; — integrated sql server authentication
Integrated Security =True — integrated windows authentication
User ID(uid)=x;
— user name Password(pwb)=x; — password

mysql:Database=x; — database name
Data Source=x; — server

Pankaj kushwaha

Database/System Administrator | DevOPS | Cloud Specialist | DevOPS

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