आप इसके लिए aggregate function count के साथ if() का उपयोग कर सकते हैं। अवधारणा समझने के लिए, आइए एक टेबल बनाते हैं। टेबल बनाने का क्वेरी इस प्रकार है:
mysql> create table CountOccurrencesDemo -> ( -> Id int NOT NULL AUTO_INCREMENT PRIMARY KEY, -> TechnicalSubject varchar(100) -> ); Query OK, 0 rows affected (0.68 sec)
अब आप insert कमांड का उपयोग करके टेबल में कुछ रिकॉर्ड डाल सकते हैं। क्वेरी इस प्रकार है:
mysql> insert into CountOccurrencesDemo(TechnicalSubject) values('Java'); Query OK, 1 row affected (0.14 sec) mysql> insert into CountOccurrencesDemo(TechnicalSubject) values('MongoDB'); Query OK, 1 row affected (0.13 sec) mysql> insert into CountOccurrencesDemo(TechnicalSubject) values('MySQL'); Query OK, 1 row affected (0.16 sec) mysql> insert into CountOccurrencesDemo(TechnicalSubject) values('MySQL'); Query OK, 1 row affected (0.10 sec) mysql> insert into CountOccurrencesDemo(TechnicalSubject) values('MySQL'); Query OK, 1 row affected (0.07 sec) mysql> insert into CountOccurrencesDemo(TechnicalSubject) values('Java'); Query OK, 1 row affected (0.15 sec) mysql> insert into CountOccurrencesDemo(TechnicalSubject) values('Java'); Query OK, 1 row affected (0.10 sec) mysql> insert into CountOccurrencesDemo(TechnicalSubject) values('Java'); Query OK, 1 row affected (0.09 sec) mysql> insert into CountOccurrencesDemo(TechnicalSubject) values('Java'); Query OK, 1 row affected (0.11 sec) mysql> insert into CountOccurrencesDemo(TechnicalSubject) values('MongoDB'); Query OK, 1 row affected (0.21 sec)Select स्टेटमेंट का उपयोग करके टेबल से सभी रिकॉर्ड प्रदर्शित करें। क्वेरी इस प्रकार है:
mysql> select *from CountOccurrencesDemo;
निम्नलिखित आउटपुट है:
+----+------------------+ | Id | TechnicalSubject | +----+------------------+ | 1 | Java | | 2 | MongoDB | | 3 | MySQL | | 4 | MySQL | | 5 | MySQL | | 6 | Java | | 7 | Java | | 8 | Java | | 9 | Java | | 10 | MongoDB | +----+------------------+ 10 rows in set (0.00 sec)
MySQL में टेक्स्ट की कई घटनाओं को गिनने का क्वेरी निम्नलिखित है:
mysql> select count(if(tbl.TechnicalSubject LIKE '%Java%',1,null)) as JavaOccurrence, -> count(if(tbl.TechnicalSubject LIKE '%MySQL%',1,null)) as MySQLOccurrence, -> count(if(tbl.TechnicalSubject LIKE '%MongoDB%',1,null)) as MongoDBOccurrence -> from CountOccurrencesDemo tbl;
निम्नलिखित आउटपुट है:
+----------------+-----------------+-------------------+ | JavaOccurrence | MySQLOccurrence | MongoDBOccurrence | +----------------+-----------------+-------------------+ | 5 | 3 | 2 | +----------------+-----------------+-------------------+ 1 row in set (0.05 sec)