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Fastest way to count number of rows in MySQL table?
Let us first see an example to create a table, add records and display them. The CREATE command is used to create a table.
mysql> CREATE table RowCountDemo -> ( -> ID int, -> Name varchar(100) > ); Query OK, 0 rows affected (0.95 sec)
Records are inserted with the INSERT command.
mysql>INSERT into RowCountDemo values(1,'Larry'); Query OK, 1 row affected (0.15 sec) mysql>INSERT into RowCountDemo values(2,'John'); Query OK, 1 row affected (0.13 sec) mysql>INSERT into RowCountDemo values(3,'Bela'); Query OK, 1 row affected (0.15 sec) mysql>INSERT into RowCountDemo values(4,'Jack'); Query OK, 1 row affected (0.11 sec) mysql>INSERT into RowCountDemo values(5,'Eric'); Query OK, 1 row affected (0.19 sec) mysql>INSERT into RowCountDemo values(6,'Rami'); Query OK, 1 row affected (0.49 sec) mysql>INSERT into RowCountDemo values(7,'Sam'); Query OK, 1 row affected (0.14 sec) mysql>INSERT into RowCountDemo values(8,'Maike'); Query OK, 1 row affected (0.77 sec) mysql>INSERT into RowCountDemo values(9,'Rocio'); Query OK, 1 row affected (0.13 sec) mysql>INSERT into RowCountDemo values(10,'Gavin'); Query OK, 1 row affected (0.19 sec)
Displaying the records.
mysql>SELECT *from RowCountDemo;
The following is the output of the above query.
+------+-------+ | ID | Name | +------+-------+ | 1 | Larry | | 2 | John | | 3 | Bela | | 4 | Jack | | 5 | Eric | | 6 | Rami | | 7 | Sam | | 8 | Maike | | 9 | Rocio | | 10 | Gavin | +------+-------+ 10 rows in set (0.00 sec)
To count the number of rows at a fast pace, we have the following two options −
Query 1
mysql >SELECT count(*) from RowCountDemo;
The following is the output of the above query.
+----------+ | count(*) | +----------+ | 10 | +----------+ 1 row in set (0.00 sec)
Query 2
mysql>SELECT count(found_rows()) from RowCountDemo;
The following is the output of the above query.
+---------------------+ | count(found_rows()) | +---------------------+ | 10 | +---------------------+ 1 row in set (0.00 sec)
Updated on: 26-Jun-2020
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