SQL ELT函数

SQL ELT函数

结构化查询语言中的ELT字符串函数根据给定的索引号从字符串列表中返回字符串。如果在给定的索引位置找不到字符串,则此函数返回NULL。

ELT字符串函数的语法

在SQL中,我们可以使用ELT函数与表的列、字符串和字符一起使用。

语法 1:

SELECT ELT(Index_Value, Column_Name1, column_Name2, Column_Name3,……. Column_NameN) AS Alias_Name FROM Table_Name;

在这个语法中,我们使用了带有现有SQL表的ELT函数。在这里,我们需要定义表的名称和列,我们想要执行ELT函数的列。

语法2:

SELECT ELT(Index_Value, "String1", "String2", "String3", …… "StringN") AS Alias_Name;

在这个语法中,我们使用了带有字符串列表的ELT函数。

语法3:

SELECT ELT(Index_Value, "Character_1", "character_2", "Character_3", ……., "Character_N") AS Alias_Name;

在这个语法中,我们使用ELT函数和字符列表。

ELT字符串函数的示例

示例1: 以下查询使用ELT函数和字符串列表:

SELECT ELT( 5, ''H'', ''I'', ''A'', ''P'', ''Q'', ''S'', ''R'', ''T'', ''V'', ''M'' ) AS String_at_1stPosition;

输出:

String_at_1thPosition   
---  
H   

示例2: 以下查询搜索了不在字符串列表中的“旧”字符串:

SELECT ELT(7, ''New'', ''Delhi'', ''is'', ''the'', ''Capital'', ''of'', ''India'') AS String_at_7thPosition;

输出:

String_at_7thPosition   
---  
India 

示例3: 以下是使用ELT函数和数字列表的SELECT查询示例:

SELECT ELT(5, ''this'', ''is'', ''the'', ''JavaTpoint'' ) AS String_at_5thPosition;

输出:

String_at_5thPosition   
---  
NULL 

示例4:此示例使用结构化查询语言中的ELT函数与表格。

在这第四个示例中,我们将通过创建新的表格来执行ELT函数与表格值:

以下代码块显示了在SQL中创建新表格的语法:

CREATE TABLE Name_of_New_Table
(
First_Column_of_table Data Type (character_size of First Column),  
Second_Column_of_table Data Type (character_size of the Second column ),  
Third_Column_of_table Data Type (character_size of the Third column),  
.......,  
Last_Column_of_table Data Type (character_size of the Last column)
);  

下面的CREATE语句创建 Fresher_Marks 表:

CREATE TABLE Fresher_Marks
(
Fresher_ID INT PRIMARY KEY,  
First_Name VARCHAR (100),  
Middle_Name Varchar(120),
Last_Name VARCHAR (200), 
City Varchar(120),
Aptitude_Marks INT, 
Reasoning_Marks INT, 
Technical_Marks INT,
Percentage INT
);

下面的INSERT查询将新生的记录插入到Fresher_Marks表中,包括成绩和详细信息:

INSERT INTO Fresher_Marks (Fresher_ID, First_Name, Middle_Name, Last_Name, City, Aptitude_Marks, Reasoning_Marks, Technical_Marks, Percentage) VALUES (501, Vinay, Roy, Gupta, Lucknow, 85, 92, 78, 85 );

INSERT INTO Fresher_Marks (Fresher_ID, First_Name, Middle_Name, Last_Name, City, Aptitude_Marks, Reasoning_Marks, Technical_Marks, Percentage) VALUES (502, Monu, Roy, Singhania, Chandigarh, 54, 68, 98, 88 );

INSERT INTO Fresher_Marks (Fresher_ID, First_Name, Middle_Name, Last_Name, City, Aptitude_Marks, Reasoning_Marks, Technical_Marks, Percentage) VALUES (504, Ravi, Roy, Kumar, Lucknow, 71, 82, 69, 71 );

INSERT INTO Fresher_Marks (Fresher_ID, First_Name, Middle_Name, Last_Name, City, Aptitude_Marks, Reasoning_Marks, Technical_Marks, Percentage) VALUES (507, Shyam, Roy, Sharma, Delhi, 85, 90, 68, 78 );

INSERT INTO Fresher_Marks (Fresher_ID, First_Name, Middle_Name, Last_Name, City, Aptitude_Marks, Reasoning_Marks, Technical_Marks, Percentage) VALUES (510, Abhay, Kumar, Gupta, Chandigarh, 45, 68, 82, 78);

INSERT INTO Fresher_Marks (Fresher_ID, First_Name, Middle_Name, Last_Name, City, Aptitude_Marks, Reasoning_Marks, Technical_Marks, Percentage) VALUES (509, Riya, Roy, Sharma, Delhi, 68, 90, 69, 91 );


INSERT INTO Fresher_Marks (Fresher_ID, First_Name, Middle_Name, Last_Name, City, Aptitude_Marks, Reasoning_Marks, Technical_Marks, Percentage) VALUES (505, Vishal, Kumar, Sharma, Mumbai, 75, 65, 88, 75 );

INSERT INTO Fresher_Marks (Fresher_ID, First_Name, Middle_Name, Last_Name, City, Aptitude_Marks, Reasoning_Marks, Technical_Marks, Percentage) VALUES (512, Romika, Roy, Kumar, Mumbai, 78, 95, 68, 85 );

以下SELECT语句显示了上述 Fresher_Marks 表中插入的记录:

SELECT * FROM Fresher_Marks;
Fresher_ID First_Name Middle_Name Last_Name City Aptitude_Marks Reasoning_Marks Technical_Marks Percentage
501 Vinay Roy Gupta Lucknow 85 92 78 85
502 Monu Roy Singhania Chandigarh 54 68 98 88
504 Ravi Roy Kumar Lucknow 71 82 69 71
507 Shyam Roy Sharma Delhi 85 90 68 78
510 Abhay Kumar Gupta Chandigarh 45 68 82 78
509 Riya Roy Sharma Delhi 68 90 69 91
505 Vishal Kumar Sharma Mumbai 75 65 88 75
512 Romika Roy Kumar Mumbai 78 95 68 85

查询 1: 以下 SELECT 查询在上述个人成绩表的 First_Name、Middle_Name 和 Last_Name 列中使用了 ELT 函数:

SELECT First_Name, Middle_Name, Last_Name, ELT(3, First_Name, Middle_Name, Last_Name) AS Value_at_3 FROM Fresher_Marks;

这个SQL语句显示了上述表中每个新人的第3个索引位置的值。 rd

输出:

First_Name Middle_Name Last_Name Value_at_3
Vinay Roy Gupta Gupta
Monu Roy Singhania Singhania
Ravi Roy Kumar Kumar
Shyam Roy Sharma Sharma
Abhay Kumar Gupta Gupta
Riya Roy Sharma Sharma
Vishal Kumar Sharma Sharma
Romika Roy Kumar Kumar

查询 2: 下面的SELECT查询在上面的Fresher_Marks表中使用了ELT函数,该函数使用Aptitude_Marks、Reasoning_Marks和Technical_Marks列的值,其中Fresher_ID大于502的那些新人:

SELECT Fresher_ID, Aptitude_Marks, Reasoning_Marks, Technical_Marks, ELT(2, Aptitude_Marks, Reasoning_Marks, Technical_Marks) AS Number_at_2nd_position FROM Fresher_Marks WHERE Fresher_ID > 502;

输出:

Fresher_ID Aptitude_Marks Reasoning_Marks Technical_Marks Number_at_2nd_position
504 71 82 69 82
507 85 90 68 90
510 45 68 82 68
509 68 90 69 90
505 75 65 88 65
512 78 95 68 95

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