![]() ![]() Therefore this result will join with company table and all rows from result table and matched and unmatched rows from company table will also come, but for the unmatched rows of company table, the column value will be NULL. ![]() ![]() This SQL statement will first join all rows from the counter_sale table and only those rows from the foods table where the joined fields are matching and if the ON clause matches no records in the foods table, the join will still return rows, but the NULL in each column of the right table. LEFT JOIN company c ON b.company_id=c.company_id SQL Code: SELECT a.bill_no, b.item_name,c.company_name, ![]() To filtered out those bill number, item name, company name and city and the bill amount for each bill, which items are available in foods table, and their manufacturer must have enlisted to supply that item, and no NULL value for manufacturer are not allowed, the following SQL statement can be used: Pictorial Presentation of SQL Left Join using Multiple Columns:Įxample of SQL Left Join using multiple tables This SQL statement will first join all rows from the counter_sale table and only those rows from the foods table where the joined fields are equal and if the ON clause matches no records in the foods table, the join will still return rows, but the NULL in each column of right table, therefore eliminates those rows which bill amount is less than or equal to 500. SELECT a.bill_no, b.item_name, a.bill_amt To filtered out those bill number, item name and the bill amount for each bill which bill amount exceeds the value 500 and must be available at the food stall, the following SQL statement can be used : Pictorial Presentation of the above example SQL Left Join: Example of SQL Left Join using multiple columns Output: COMPANY_ID COMPANY_NAME COMPANY_CITY COMPANY_ID ITEM_NAME This SQL statement would return all rows from the company table and only those rows from the foods table where the joined fields are equal and if the ON clause matches no records in the 'foods' table, the join will still return rows, but the NULL in each column of the right table. SQL Code: SELECT pany_id,pany_name,Ĭpany_city,pany_id,em_name ![]()
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