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Inner vs. Outer joins
SQL Key Definition
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Superkey Example
What is Referential Integrity
Having vs. Where clause
How do database indexes work?
What is a self join?
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Practice Interview Question 1
Practice Interview Question 1 continued
Practice Interview Question 1 continued
Databases/SQL
Joins are used to combine the data from two tables, with the result being a new,
temporary table. The temporary table is created based on column(s) that the two
tables share, which represent meaningful column(s) of comparison. The goal is to
extract meaningful data from the resulting temporary table. Joins are performed based
on something called a predicate, which specifies the condition to use in order to
perform a join. A join can be either an inner join or an outer join, depending on how one
wants the resulting table to look.
It is best to illustrate the differences between inner and outer joins by use of an example.
Here we have 2 tables that we will use for our example:
Employee Location
EmpID EmpName
13 Jason
8 Alex
3 Ram
17 Babu
25 Johnson
EmpID EmpLoc
13 San Jose
8 Los An geles
3 Pune, India
17 Chennai,India
39 Bangalore, India
Its important to note that the very last row in the Employee table does not exist in the
Employee Location table. Also, the very last row in the Employee Location table does not
exist in the Employee table. These facts will prove to be significant in the discussion that
follows.
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Practice Interview Question 2
Advanced SQL Interview Questions andAnswers
Advanced SQL Interview Questions andAnswers Part 2
Practice Interview Question 2 continued
Data Mining vs. Data Warehousing
Ternary/Three-valued Logic in SQL
Find Maximum Value Without UsingAggregate
SQL Injection Example and Tutorial
SQL Injection Prevention
Blind SQL Injection Example
Parameterized Queries vs PreparedStatements
Prepared Statement Example
Difference between a full join and aninner join?
Difference between a left outer join andright outer join?
Difference between a left join and a leftouter join?
SQL: Having vs Group By
SQL: Group By with multiple columns
SQL Select Distinct and Order By
SQL Order By default sort order
Derived table vs subquery
Correlated vs Uncorrelated Subquery
Find nth highest salary SQL
Cardinality in SQL
Selectivity in SQL Databases
Lets start the explanation with outer joins. Outer joins can be be further divided into left
outer joins, right outer joins, and full outer joins. Here is what the SQL for a left outer join
would look like, using the tables above:
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In this SQL we are joining on the condition that the employee IDs match in the rows
tables. So, we will be essentially combining 2 tables into 1, based on the condition that
the employee IDs match. Note that we can get rid of the "outer" in left outer join, which
will give us the SQL below. This is equivalent to what we have above.
A left outer join retains all of the rows of the left table, regardless of whether there is a
row that matches on the right table. The SQL above will give us the result set shown
below.
Employee.EmpID Employee.EmpName Location.EmpID Location.EmpLoc
13 Jason 13 San Jose
8 Alex 8 Los Angeles
3 Ram 3 Pune, India
17 Babu 17 Chennai, India
25 Johnson NULL NULL
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Cardinality versus Selectivity
Clustered vs. Non Clustered Index
Page versus block
Database Locking
Lock Escalation
Database Deadlock Example
What is a database transaction?
SQL Server Transaction
Oracle Transaction
MySQL Transaction
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Concurrent Update Problem
How to Tune Database Performance
Database Full Table Scan
What is cost based optimization?
How to tune SQL queries
SQL Index Performance
What is a bitmap index?
Oracle Indexes Examples
System privileges vs. object privileges
SQL Grant
SQL Revoke
SQL Create User
Database Roles
SQL CASE Statement
SQL Searched CASE Statement
SQL Inline View
RANK() versus DENSE_RANK()
Earlier we had mentioned something called a join predicate. In the SQL above, the join
predicate is "on employee.empID = location.empID". This is the heart of any type of
join, because it determines what common column between th e 2 tables will be used to
"join" the 2 tables. As you can see from the result set, all of the rows from the left table
are returned when we do a left outer join. The last row of the Employee table (which
contains the "Johson" entry) is displayed in the results even though there is no matching
row in the Location table. As you can see, the non-matching columns in the last row arefilled with a "NULL". So, we have "NULL" as the entry wherever there is no match.
A right outer join is pretty much the same thing as a left outer join, except that the rows
that are retained are from the right table. This is what the SQL looks like:
Using the tables presented above, we can show what the result set of a right outer join
would look like:
Employee.EmpID Employee.EmpName Location.EmpID Location.EmpLoc
13 Jason 13 San Jose
8 Alex 8 Los Angeles
3 Ram 3 Pune, India
17 Babu 17 Chennai, India
NULL NULL 39 Bangalore, India
We can see that the last row returned in the result set contains the row that was in the
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Location table, but not in the Employee table (the "Bangalore, India" entry). Because
there is no matching row in the Employee table that has an employee ID of "39", we
have NULLs in the result set for the Employee columns.
Now that weve gone over outer joins, we can contrast those with the inner join. The
difference between an inner join and an outer join is that an inner join will return only
the rows that actually match based on the join predicate. Once again, this is best
illustrated via an example. Heres what the SQL for an inner join will look like:
This can also be written as:
Now, here is what the result of running that SQL would look like:
Employee.EmpID Employee.EmpName Location.EmpID Location.EmpLoc
13 Jason 13 San Jose
8 Alex 8 Los Angeles
3 Ram 3 Pune, India
17 Babu 17 Chennai, India
We can see that an inner join will only return rows in which there is a match based on the
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join predicate. In this case, what that means is anytime t he Employee and L ocation table
share an Employee ID, a row will be generated in the results to show the match. Looking
at the original tables, one can see that those Employee IDs that are shared by those
tables are displayed in the results. But, with a left or right outerjoin, the result set will
retain all of the rows from either the left or right table.
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SQL_ Inner vs Outer Joins
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