Let us first create a table −mysql> create table DemoTable (    Id int NOT NULL AUTO_INCREMENT PRIMARY KEY,    PurchaseDate date,    SalePrice int ); Query OK, 0 rows affected (0.51 sec)Insert some records in the table using insert command −mysql> insert into DemoTable(PurchaseDate, SalePrice) values('2018-01-10', 450); Query OK, 1 row affected (0.12 sec) mysql> insert into DemoTable(PurchaseDate, SalePrice) values('2019-12-25', 1000); Query OK, 1 row affected (0.18 sec) mysql> insert into DemoTable(PurchaseDate, SalePrice) values('2016-12-02', 5560); Query OK, 1 row affected (0.07 sec) mysql> insert into DemoTable(PurchaseDate, SalePrice) values('2015-02-20', 4550); Query OK, 1 row affected (0.18 sec) mysql> insert into ... Read More

No, MySQL UPDATE won’t overwrite values if they are identical. Let us first create a table −mysql> create table DemoTable (    StudentId int,    StudentMathMarks int,    StudentMySQLMarks int ); Query OK, 0 rows affected (0.46 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values(1, 56, 78); Query OK, 1 row affected (0.21 sec) mysql> insert into DemoTable values(2, 88, 99); Query OK, 1 row affected (0.15 sec) mysql> inse rt into DemoTable values(3, 34, 98); Query OK, 1 row affected (0.13 sec)Display all records from the table using select statement −mysql> select *from ... Read More

To count, use the MySQL COUNT(*). However, with UNION ALL you would be able to get a combined count of string. Let us first create a table −mysql> create table DemoTable1 (    Name varchar(20) ); Query OK, 0 rows affected (0.49 sec)Insert some records in the table using insert command. We are inserting string values in the first table −mysql> insert into DemoTable1 values('Chris'); Query OK, 1 row affected (0.14 sec) mysql> insert into DemoTable1 values('Robert'); Query OK, 1 row affected (0.12 sec) mysql> insert into DemoTable1 values('Mike'); Query OK, 1 row affected (0.13 sec) mysql> insert into DemoTable1 ... Read More

To execute multiple select queries in MySQL, use the concept of DELIMITER. Let us first create a table −mysql> create table DemoTable1 (    Title text )ENGINE=MyISAM; Query OK, 0 rows affected (0.30 sec)Insert some records in the table using insert command −mysql> insert into DemoTable1 values('The database MySQL is less popular than MongoDB') ; Query OK, 1 row affected (0.09 sec) mysql> insert into DemoTable1 values('Java language uses MySQL database'); Query OK, 1 row affected (0.05 sec) mysql> insert into DemoTable1 values('Node.js uses the MongoDB') ; Query OK, 1 row affected (0.05 sec)Display all records from the table using ... Read More

The error is in the syntax of VALUE().Use VALUES() instead of VALUE(). The correct syntax of the insert query is as follows −INSERT INTO yourTableName VALUES(yourValue1, yourValue2, .......N);Let us first create a table −mysql> create table DemoTable (    StudentId int,    StudentName varchar(40),    StudentAge int ); Query OK, 0 rows affected (0.48 sec)Insert some records in the table using insert command −mysql> INSERT INTO DemoTable VALUES(1001, 'Tom', 20); Query OK, 1 row affected (0.11 sec) mysql> INSERT INTO DemoTable VALUES(1002, 'Mike', 21); Query OK, 1 row affected (0.13 sec) mysql> INSERT INTO DemoTable VALUES(1003, 'Sam', 19); Query OK, ... Read More

Let us first create a table −mysql> create table DemoTable1 (    EmployeeId int NOT NULL AUTO_INCREMENT PRIMARY KEY,    EmployeeName varchar(50) ); Query OK, 0 rows affected (0.48 sec)Insert some records in the table using insert command −mysql> insert into DemoTable1(EmployeeName) values('Tom'); Query OK, 1 row affected (0.19 sec) mysql> insert into DemoTable1(EmployeeName) values('Mike'); Query OK, 1 row affected (0.13 sec) mysql> insert into DemoTable1(EmployeeName) values('Emma'); Query OK, 1 row affected (0.14 sec) mysql> insert into DemoTable1(EmployeeName) values('Sam'); Query OK, 1 row affected (0.10 sec)Display all records from the table using select statement::mysql> select *from DemoTable1;This will produce the ... Read More

If you want only the string values, then use the below syntax −select *from yourTableName where yourColumnName NOT regexp '^[0-9]+$';If you want only the digit, then use the below syntax −select *from yourTableName where yourColumnName regexp '^[0-9]+$';Let us first create a table −mysql> create table DemoTable(    Id varchar(100) ); Query OK, 0 rows affected (0.49 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values('1000'); Query OK, 1 row affected (0.16 sec) mysql> insert into DemoTable values('John'); Query OK, 1 row affected (0.10 sec) mysql> insert into DemoTable values('Carol_Smith'); Query OK, 1 row affected (0.15 ... Read More

Let us first create a table −mysql> create temporary table DemoTable (    SerialNumber int ); Query OK, 0 rows affected (0.00 sec)Insert some records in the table using insert command. Here, we are inserting multiple values in a temporary table −mysql> insert into DemoTable values(1),(2),(3),(4),(5),(6),(7),(8); Query OK, 8 rows affected (0.00 sec) Records: 8 Duplicates: 0 Warnings: 0Display all records from the table using select statement −mysql> select *from DemoTable;This will produce the following output −+--------------+ | SerialNumber | +--------------+ |            1 | |            2 | |            3 | |            4 | |            5 | |            6 | | 7 | | 8 | +--------------+ 8 rows in set (0.00 sec)

For this, you can use GROUP_CONCAT() along with DISTINCT. Let us first create a table −mysql> create table DemoTable (    Id int,    Subject varchar(40) ); Query OK, 0 rows affected (0.56 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values(100, 'MySQL'); Query OK, 1 row affected (0.19 sec) mysql> insert into DemoTable values(100, 'MongoDB'); Query OK, 1 row affected (0.20 sec) mysql> insert into DemoTable values(100, 'Java'); Query OK, 1 row affected (0.14 sec) mysql> insert into DemoTable values(100, 'MongoDB'); Query OK, 1 row affected (0.11 sec) mysql> insert into DemoTable values(101, 'MySQL'); ... Read More

For this, you can filter records on the basis of LIKE. Let us first create a table −mysql> create table DemoTable (    Name varchar(50) ); Query OK, 0 rows affected (0.50 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values('John Smith'); Query OK, 1 row affected (0.12 sec) mysql> insert into DemoTable values('John'); Query OK, 1 row affected (0.10 sec) mysql> insert into DemoTable values('Adam Smith'); Query OK, 1 row affected (0.10 sec) mysql> insert into DemoTable values('Carol'); Query OK, 1 row affected (0.10 sec) mysql> insert into DemoTable values('David Miller'); Query OK, 1 ... Read More