Impala OFFSET Clause – 5 Min Tutorial

Boost your career with Free Big Data Courses!!

In our last tutorial, we discussed Limit Clause and Having Clause. Now, we will discuss Impala Offset Clause, used to decide from where the output should be considered in Impala. Moreover, we will learn introduction, syntax, and example of Impala Offset clause, to understand it well.

So, let’s start Impala Offset Clause.

Impala OFFSET Clause

Basically, in a SELECT query, this clause causes the result set to start some number of rows after the logical first item. However, OFFSET 0 produces the same result as leaving out the OFFSET clause since the result set is numbered starting from zero.

Also, make sure always use this clause in combination with ORDER BY. Hence it is clear which item should be first, second, and so on. Whereas LIMIT covers a bounded range, such as items 0-9, 100-199, and so on.

So, we can combine a LIMIT clause with an OFFSET clause to produce a small result set that is different from a top-N query, in Impala 1.2.1 and higher.

Further, let’s understand this with an example. In order to return items 11 through 20 with simulate “paged” results, we will use this technique.

Moreover, use this technique only for compatibility in cases where you cannot rewrite the application logic since Impala queries typically involve substantial amounts of I/O.

However, let’s define it in simple words. Since we very well know the rows in the resultset of a select query starts from 0. So, to decide from where the output should be considered we use the offset clause.

For example,  the result will be as usual if we choose the offset as 0. In the same way, the result starts from the fourth row if we choose the offset as 4.

A Syntax of Offset Clause in Impala

So, the syntax for using Impala OFFSET Clause is-

select data from table_name Group BY col_name;

Impala Offset Clause Example 

Lets take an example of Impala offset clause,
Basically, to understand, let’s suppose we have a table named Employees in the database my_db. Further, its contents are −

[quickstart.cloudera:21000] > select * from Employees;
Query: select * from Employees

idnameageaddresssalary
3kajal27alirajpur40000
6mehul22hyderabad32000
1shubham32delhi20000
5shreyash23pune30000
2monika25mumbai15000
8Rishabh22chennai31000
9Pulkit23Gandhi nagar28000
7Vaishnavi25Goa23000
4revti25indore35000

Technology is evolving rapidly!
Stay updated with DataFlair on WhatsApp!!

Fetched 9 row(s) in 0.51s
Further, using limit and order by clauses, here we can arrange the records in the table in the ascending order of their id’s and limit the number of records to 4.

Query: select * from Employees order by id limit 4

idnameageaddresssalary
1shubham32delhi20000
2monika25mumbai15000
3kajal27alirajpur40000
4revti25indore35000

Fetched 4 row(s) in 0.64s
Moreover, here is an example of the offset clause. Basically, we are getting the records in the Employees table in the order of their id’s and printing the first four rows starting from the 0th row.

[quickstart.cloudera:21000] > select * from Employees order by id limit 4 offset 0;
So, we get the following result, on executing, the above query.

Query: select * from Employees order by id limit 4 offset 0

idnameageaddresssalary
1shubham32delhi20000
2monika25mumbai15000
3kajal27alirajpur40000
4revti25indore35000

Fetched 4 row(s) in 0.62s
Also, we can get four records from the Employees table starting from the row having offset 5.

[quickstart.cloudera:21000] > select * from Employees order by id limit 4 offset 5;
Query: select * from Employees order by id limit 4 offset 5

6mehul22hyderabad32000
7Vaishnavi25Goa23000
8Rishabh22chennai31000
9Pulkit23Gandhi nagar28000


Fetched 4 row(s) in 0.52s
So, this was all about Impala Offset Clause. Hope you like our explanation.

Conclusion

As a result, we have seen the whole concept of Impala OFFSET Clause. Still, if any doubt occurs, feel free to ask in the comment section.

You give me 15 seconds I promise you best tutorials
Please share your happy experience on Google

courses

DataFlair Team

The DataFlair Team provides industry-driven content on programming, Java, Python, C++, DSA, AI, ML, data Science, Android, Flutter, MERN, Web Development, and technology. Our expert educators focus on delivering value-packed, easy-to-follow resources for tech enthusiasts and professionals.

Leave a Reply

Your email address will not be published. Required fields are marked *