How optimize website for massive MySQL writing?

1. How do I optimize a large MySQL database?
2. How do I tune a MySQL database for best performance?
3. How can I make MySQL query run faster?
4. How write optimized SQL query in MySQL?
5. Is MySQL good for large database?
6. How will you optimize database?
7. Why is MySQL slow?
8. How do I optimize a table in MySQL?
9. What is MySQL slow query?
10. Which join is faster in MySQL?
11. Is view faster than query MySQL?
12. How can I speed up a slow SQL query?

How do I optimize a large MySQL database?

How to Optimize MySQL Database

1. Understand Your Workload.
2. Optimize Queries.
3. Don't Use MySQL as a Queue.
4. Monitor the Fundamental Resources.
5. Filter Results.
6. Optimize Subqueries.
7. Recognize Scalability Problems.
8. Query the Cache.

How do I tune a MySQL database for best performance?

How to Improve MySQL Performance With Tuning

1. Balance the Four Main Hardware Resources.
2. Use InnoDB, Not MyISAM.
3. Use the Latest Version of MySQL. ...
4. Consider Using an Automatic Performance Improvement Tool.
5. Optimize Queries.
6. Use Indexes Where Appropriate.
7. Functions in Predicates.
8. Avoid % Wildcard in a Predicate.

How can I make MySQL query run faster?

Let's have a look at the most important and useful tips to improve MySQL Query for speed and performance.

1. Optimize Your Database. ...
2. Optimize Joins. ...
3. Index All Columns Used in 'where', 'order by', and 'group by' Clauses. ...
4. Use Full-Text Searches. ...
5. MySQL Query Caching.

How write optimized SQL query in MySQL?

Optimize Queries With MySQL Query Optimization Guidelines

1. Avoid using functions in predicates. ...
2. Avoid using a wildcard (%) at the beginning of a predicate. ...
3. Avoid unnecessary columns in SELECT clause. ...
4. Use inner join, instead of outer join if possible. ...
5. Use DISTINCT and UNION only if it is necessary.

Is MySQL good for large database?

MySQL can scale, but it is not great at it. Facebook does use PHP/MySQL for some of their services, but for the faster and more bandwidth intensive tasks they use hadoop. ... MySQL can scale, but if you don't configure it correctly then it will fail miserably when the tables get too large.

How will you optimize database?

1. Proper indexing. Index is basically a data structure that helps speed up the data retrieval process overall. ...
2. Retrieve the relevant data only. ...
3. Getting rid of correlated subqueries. ...
4. Using or avoiding temporary tables according to requirement. ...
5. Avoid coding loops. ...
6. Execution plans.

Why is MySQL slow?

The MySQL Slow Query Log

The most common internal cause of database slowdowns are queries that monopolise system resources. Factors that contribute to poor query performance include inadequate indexing, fetching a data set that is very large, complex joins, and text matching.

How do I optimize a table in MySQL?

How to Optimize MySQL Tables and Defragment to Recover Space

1. Identify Tables for Optimization. The first step is to identify whether you have fragmentation on your MySQL database. ...
2. Defrag using OPTIMIZE TABLE command. There are two ways to optimize a table. ...
3. Defrag using mysqlcheck command. ...
4. Defrag All Tables or All Databases. ...
5. After Optimization.

What is MySQL slow query?

The MySQL slow query log is where the MySQL database server registers all queries that exceed a given threshold of execution time. This can often be a good starting place to see which queries are slowest and how often they are slow. MySQL on your server is configured to log all queries taking longer than 0.1 seconds.

Which join is faster in MySQL?

Mysql - LEFT JOIN way faster than INNER JOIN.

Is view faster than query MySQL?

No, a view is simply a stored text query. You can apply WHERE and ORDER against it, the execution plan will be calculated with those clauses taken into consideration.

How can I speed up a slow SQL query?

Below are 23 rules to make your SQL faster and more efficient

1. Batch data deletion and updates. ...
2. Use automatic partitioning SQL server features. ...
3. Convert scalar functions into table-valued functions. ...
4. Instead of UPDATE, use CASE. ...
5. Reduce nested views to reduce lags. ...
6. Data pre-staging. ...
7. Use temp tables. ...
8. Avoid using re-use code.