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<-- Chapter 6: SQL IN Operator Chapter 7 SQL NOT IN Operator Lets see an example from the below table "employees" :- employee_id name code designation salary 101 ABC E-101 Engineer 12000 102 DEF E-102 Doctor 8000 103 GHI E-103 Sof

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<-- Chapter 14: SQL >= Operator Chapter 15 SQL <= Operator Lets see an example from the below table "employees" :- employee_id name code designation salary 101 ABC E-101 Engineer 12000 102 DEF E-102 Doctor 8000 103 GHI E-103

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<-- Chapter 7: SQL NOT IN Operator Chapter 8 SQL = Operator Lets see an example from the below table "employees" :- employee_id name code designation salary 101 ABC E-101 Engineer 12000 102 DEF E-102 Doctor 8000 103 GHI E-103 Soft

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<-- Chapter 8: SQL = Operator Chapter 9 SQL != Operator Lets see an example from the below table "employees" :- employee_id name code designation salary 101 ABC E-101 Engineer 12000 102 DEF E-102 Doctor 8000 103 GHI E-103 Software

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<-- Chapter 11: SQL BETWEEN Operator Chapter 12 SQL > Operator Lets see an example from the below table "employees" :- employee_id name code designation salary 101 ABC E-101 Engineer 12000 102 DEF E-102 Doctor 8000 103 GHI E-10

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<-- Chapter 12: SQL > Operator Chapter 13 SQL < Operator Lets see an example from the below table "employees" :- employee_id name code designation salary 101 ABC E-101 Engineer 12000 102 DEF E-102 Doctor 8000 103 GHI E-103 S

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<-- Chapter 10: SQL LIKE Operator Chapter 11 SQL BETWEEN Operator Lets see an example from the below table "employees" :- employee_id name code designation salary 101 ABC E-101 Engineer 12000 102 DEF E-102 Doctor 8000 103 GHI E-10

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Hello Guys I configured office365 email in liferay to send email via smtp by using below properties : mail.session.mail.transport.protocol=smtp mail.session.mail.smtp.user=admin@domain.com mail.session.mail.smtp.password=m8Kw mail.session.m

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A Transaction groups a set of tasks into a single execution unit. Each transaction begins with a specific task and ends when all the tasks in the group successfully finish.If all of these tasks execute successfully, then a transaction is committed an

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Before SQL Server 2005, the only practical way to trap errors in SQL was using the old-fashioned @@error system variable. Although this is still supported, in this blog we will learn how to use TRY-CATCH for handling errors.TRY-CATCH block is simila

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