How do I find large tables in MySQL?

How do I find large tables in MySQL?

To get largest table in MySQL database (of all databases) use: SELECT table_name AS “Table”, round(((data_length + index_length) / 1024 / 1024), 2) “Table size in MB” FROM information_schema. TABLES order by data_length+index_lenght desc limit 1; These queries may take time based on number of tables.

How do I find large tables in SQL Server?

SQL Server Management Studio

1. Open and log in to Microsoft SQL Server Management Studio.
2. Right click your database.
3. Hover over Reports.
4. Hover over Standard Reports.
5. Select Disk Usage by Top Tables.

How do I find the size of a MySQL table?

This can be accomplished easily with the following query: SELECT TABLE_SCHEMA AS `Database`, TABLE_NAME AS `Table`, ROUND((DATA_LENGTH + INDEX_LENGTH) / 1024 / 1024) AS `Size (MB)` FROM information_schema.

Can MySQL handle 1 million records?

Millions of rows is fine, tens of millions of rows is fine – provided you’ve got an even remotely decent server, i.e. a few Gbs of RAM, plenty disk space. You will need to learn about indexes for fast retrieval, but in terms of MySQL being able to handle it, no problem.

Does MySQL have vacuum?

The MySQL approximation of PostgreSQL’s vacuum is OPTIMIZE TABLE tablename (MySQL docs). It performs a similar function in MySQL as PostgreSQL in that, depending on the storage engine used, it reclaims unused space, reorganizes indexes and tables, and defragments data files.

How do I find the database table in MySQL?

To get a list of the tables in a MySQL database, use the mysql client tool to connect to the MySQL server and run the SHOW TABLES command. The optional FULL modifier will show the table type as a second output column.

How do I find the largest table in a database?

4 Answers

1. SELECT.
2. ‘[‘ + (OBJECT_SCHEMA_NAME(tables. object_id,db_id())
3. + ‘].[‘ + tables. NAME + ‘]’) AS TableName,
4. (sum(allocation_units. total_pages) * 8) / 1024 as TotalSpaceMB.
5. FROM.
6. sys. tables tables.
7. INNER JOIN.
8. sys. indexes indexes ON tables. OBJECT_ID = indexes. object_id.

How do you handle a large table in SQL?

10 Answers

1. Reduce your clustered index to 1 or 2.
2. Check the fillfactor on your indexes.
3. Make sure the statistics exist on the table.
4. Check the table/indexes using DBCC SHOWCONTIG to see which indexes are getting fragmented the most.

How do I find the length of a table in SQL?

The SQL COUNT() function returns the number of rows in a table satisfying the criteria specified in the WHERE clause. It sets the number of rows or non NULL column values. COUNT() returns 0 if there were no matching rows.

Is MySQL good for large database?

Yes, You can create large-scale applications using PHP and MySQL. You need to use some other helper tools as well, which will help scaling your app, for example load balancers.

Why MySQL is not scalable?

Avoid MySQL Scalability Limitations MySQL was originally designed as a single-node system and not with the modern data center concept in mind. Today’s largest MySQL installations cannot scale by using MySQL as a single system and must rely on sharding, or splitting a data set over multiple nodes or instances.

What is database bloat?

Database bloat is disk space that was used by a table or index and is available for reuse by the database but has not been reclaimed. Bloat is created when updating tables or indexes.

How do I shrink a table in MySQL?

3. Shrink the ibdata File

1. Stop the MySQL service on the primary Gateway: service mysql stop.
2. Remove the existing ibdata files: rm -rf /var/lib/mysql/ib*
3. Start the MySQL service on the primary Gateway: service mysql start.
4. Extract the contents of the primary Gateway database backup:gzip -d /root/ibdata-shrink-backup.sql.gz.

How can I see all tables in MySQL?

MySQL Show/List Tables

1. Step 1: Open the MySQL Command Line Client that appeared with a mysql> prompt.
2. Step 2: Next, choose the specific database by using the command below:
3. Step 3: Finally, execute the SHOW TABLES command.
4. Output:
5. Syntax.

Which is the biggest table?

The longest table measures 3,189.93 m (10,465 ft 7 in), and was achieved by Administrative Capital of Egypt (Egypt) in Cairo, Egypt, on 2 June 2019. The table was used to serve iftar for 7,000 people.

How do I manage a large MySQL database?

What I’ve understood so far to improve the performance for very large tables:

1. (for innoDB tables which is my case) increasing the innodb_buffer_pool_size (e.g., up to 80% of RAM).
2. having proper indexes on the table (using EXPLAN on queries)
3. partitioning the table.
4. MySQL Sharding or clustering.