![]() ![]() (remember, this is a right join so all the columns from table2 and not from table1 will be considered). Similarly from the above expression,it takes all the records (rows) from table 1 and columns, with matching id's from table 1 and table 2, from table 2. Right join Table1 on Table1.id = Table2.id** The above expression,it takes all the records (rows) from table 1 and columns, with matching id's from table 1 and table 2, from table 2. An artist can have zero or many albums while an album belongs to one artist. For the demonstration, we will use the artists and albums tables from the sample database. So, ids 1 and 2 are common in the both the tables and as a result in the result you will have four columns with id and name columns from first and second tables in order. SQLite Join Summary: in this tutorial, you will learn about various kinds of SQLite joins to query data from two or more tables. Referring to your question, id's in both the tables are compared with all the columns needed to be thrown in the output. Similarly,By definition: Right Join selects all columns mentioned with the "select" keyword from Table 2 and the columns from Table 1 which matches the criteria after the "on" keyword. SQL Join statement is used to combine data or rows from two or more tables based on a common field between them. Select * from Table1 t1 Left Join Table2 t2 on t1.id=t2.idīy definition: Left Join selects all columns mentioned with the "select" keyword from Table 1 and the columns from Table 2 which matches the criteria after the "on" keyword. Right join Table2 on Table1.id = Table2.id So if you want different result then execute this two queries respectively, This is the reason why you are getting the same result in both queries. In the first query Right join compares right-sided table table1 to left-sided table table2.īoth queries will give the same result because the order of table declaration in query are different like you are declaring table1 and table2 in left and right respectively in first left join query, and also declaring table1 and table2 in right and left respectively in second right join query. Right join Table1 on Table1.id = Table2.id In Which all the properties of table1 will be shown, whereas in table2 only those properties will be shown in which condition get true. ![]() In the first query Left join compares left-sided table table1 to right-sided table table2. Left join Table2 on Table1.id = Table2.id ![]()
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