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Today SQL has become necessary to manage web and network-based projects. The database is associated with almost every project. Relational database management systems are the most important for every organization and the selection of the right database can ensure quality application performance. Microsoft SQL is chosen by several developers and users to manage database operations. SQL is one of the well-known and most used query languages by database professionals. There are a few operations that can be performed on SQL tables like Create, Select, Delete, Update and others. One of the most important operations for SQL tables is Join and here in this blog post, we will see the definition, examples of joins, its subtypes, and inner join vs outer join.
A SQL join is a Structured Query Language instruction that is used to merge data from two different data sources or tables. Before we discuss SQL Joins and its types, let us know what is the significance of SQL joins? SQL is a special and structured programming language that is used to manage information in RDBMS or relational database management system. Here the relational word is the key and base of RDBMS that specifies the database management system is organized in the way so that clear relation can be defined between various datasets.
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Let us discuss Inner and Outer joins one by one:
Before we go on to discuss the main theme of this blog i-e inner join vs outer join you must know what inner join in SQL is. SQL inner join is used to return the result by combining rows from two or more tables. Technically, Inner Join combines all rows from a table with that of another table. So, if the first table has three rows and the second table four rows then the final table will have
3 x 4 =12 rows. Joins are used to limit the row combinations here usually the rows are limited for the combination. They are joined or combined as per their column combination. Inner join can be represented through vein diagram as in below figure:
Like if we have two tables, one is product price table and another product quantity, then the common column of both the tables will be Product ID or Product Name, so logically the tables will be joined based on this column. In both the tables, some products will be common, and others may not. Inner join performed on both of these tables will only return the common products of both the tables.
PRODUCT PRICE TABLE PRICES
PRODUCT QUANTITY TABLE QUANTITIES
SELECT PRICES.*, QUANTITIES.QUANTITY FROM PRICE INNER JOIN QUANTITIES ON PRICE.PRODUCT=QUANTITIES.PRODUCT; Resulting Table from Above Query
If you want to understand the concept of outer join vs inner join, you must first know what outer join is. Unlike Inner Join, Outer Join returns the rows that of an inner join, including leftover rows that are not common in both the tables. So, the number of rows in the outer join result is different and more than that of Inner Join. An outer join can further be divided into three types:
Each of these outer joins differs on the basis of their way to compare, combine and return the table rows. Null values are also part of these joins as sometimes no values are present in the tables for that column.
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In the case of left Outer Join all data of the table on the left side is returned as the result of the join operation, and from the right side or second table, only corresponding data is returned. This can be shown through the following Venn diagram. You can combine data from one or more tables by using SQL join operation. In SQL join operation is performed to compare and combine or we can say join two or more tables and as a result, a new table with some specific rows is returned. A SQL inner join operation returns matching data from the compared tables, while an outer join finds and returns matching and non-matching or dissimilar data from the tables for which it is performed.
Here for the above product tables in the left outer join operations will be performed on these tables through the following query:
SELECT PRICES. *, QUANTITIES.QUANTITY FROM PRICES LEFT OUTER JOIN QUANTITIES ON PRICES.PRODUCT=QUANTITIES.PRODUCT The result of the above query will be below table:
SQL Right Outer Join returns all data of the right side table. Means all the data of the second table is included in the query result, while that of left side table only corresponding data is returned. It can be shown through following Venn diagram:
In case of right outer join query, the query result includes all the rows of that of inner join and all remaining rows of a right-side table that were not having the matching entry from the left side table.
SELECT PRICES.*, QUANTITIES.QUANTITY FROM PRICES RIGHT OUTER JOIN QUANTITIES ON PRICES.PRODUCT=QUANTITIES.PRODUCT;
A full outer join is a join that is not supported by MySQL database, but in this type of join the data from both the tables get combined, regardless whether the tables have common data or not. In the case of full join, the resulting table may have duplicate data as well in the resulting table and more nulls may be produced in this table as well.
Full Join Query
SELECT PRICES.*, QUANTITIES.QUANTITY FROM PRICES FULL OUTER JOIN QUANTITIES ON PRICES.PRODUCT=QUANTITIES.PRODUCT; The resulting table will be as
These are just basics of SQL joins, they can be used in many different cases and situations to resolve the problems. Many join queries are used by the database programmers. You can also try and test the queries on your own so that it can be done smoothly. Even the SQL join query can help the user in extracting data in their desired format and they can perform it to access table records by eliminating and duplicate data.
Both the Inner and Outer Joins are used to combine data from two or more tables and get the single table result. Here the join condition is being used to perform the query that specifies the way in which the data from each table is matched to another table. Here the aim of performing a join on two database tables is to match the table data and extract the common information from both. For match condition both inner and outer joins compare and match the condition, in the same way, however, here we have to discuss a lot on inner vs outer join SQL, they differ when the match condition is not successful. Where in case of inner join only matched values are included in the resulting table, so in case of outer join that is of three types, NULL values are also the part of resulting table. Inner joins are also known as natural joins and by default inner join is performed on the table data. The differences between both can be understood through the following table:
Inner and Outer Join SQL Comparison Chart
|Comparison Property||Inner Join||Outer Join|
|Basic||Inner join outputs only matching tuples from both the tables||Outer join displays all tuples of both the tables|
|Table Size||The size of the resulting database table is quite smaller than outer join resulting table size||Outer join returns larger size tables|
|Sub-Types||It has no sub type||It has again three types Left Outer Join, Right Outer Join, Full Outer Join|
Here it can be said that Inner and Outer joins can be performed on similar tables. The user can easily get the desired data. Inner and Outer joins are used by SQL users just to compare the table tuples and get either similar data or the best one.
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Joins are one of the most used queries by database professionals. Joins return the table data in the way they are used, like in case of inner joins the user can get only common values from both the tables, while in case of outer joins all data from both the tables are included in resulting tables. We have discussed a lot regarding outer join vs inner join, both can combine the tables, but still, they are different. Inner join resulting tables are smaller in size, while the tables of an outer join are quite larger. So as per user requirement, they can use any of the tables. To learn more about Joins and a lot more details about the outer join vs inner join, you can register on an online learning platform.
I love to learn new things and also like sharing my knowledge with others. As an experienced IT Professional I like to update myself constantly with new and upcoming technologies. The database management system is one of my favorite subjects which I constantly explore.
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