What is difference between Clustered and Nonclustered Indexes in SQL - Database

Clustered vs Nonclustered Indexes in SQL
The difference between Clustered and Nonclustered index in a relational database is one of the most popular SQL interview questions almost as popular as  the difference between truncate and deleteprimary key vs unique key and correlated vs noncorrelated subqueries. Indexes are a very important concept, it makes your queries run fast and if you compare a SELECT query which uses an indexed column to one who doesn't you will see a big difference in performance. There can be two kinds of indexes in relational database Clustered and Nonclustered indexes. Clustered index determines physical sorting order of rows in a table similar to entries on yellow pages which are sorted in alphabetical order.

Suppose you have a table Employee, which contains emp_id as primary key than clustered index which is created on a primary key will sort the Employee table as per emp_id. That was a brief introduction of What is clustered index in SQL.

On another hand, Nonclustered index involves one extra step which points to the physical location of the record. In this SQL Interview question, we will see some more difference between clustered and nonclustered index in point format.

Difference between Clustered and Nonclustered Indexes in SQL

In last section we have seen What is Clustered and Nonclustered index and How they resolve physical location of the record. Let's see some more difference between them to answer this SQL interview question :

1) Clustered Index physically sort all rows while Nonclustered Index doesn't.

2) In SQL, one table can only have one Clustered  Index but there is no such restriction on NonClustered Index.

3) In many relational databases, Clustered Index is automatically created on primary key column.

What is difference between Clustered and Nonclustered index in SQLThat's all on the difference between Clustered vs Nonclustered Index in SQL. Index are very critical to query performance but too many indexes can actually harm the performance of INSERT and UPDATE queries because these requires rearrangement of indexes which can be time-consuming based on size of table or number of records on the table. Always create Indexes on columns which are frequently used in a SELECT query because there is a huge performance difference between indexed and non-indexed column in SQL queries.

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  1. One of the key thing to remember about Clustered Index is that it organize data in cluster, which helps to quickly scan and retrieve data in a range. also since clustered index decides physical order of data, there can be only one clustered index in a table. All other non clustered index, uses a pointer, which points to clustered index. That's why in index tree, in case of clustered index, leaf contains data, but in case of nonclustered index, it contain pointer to data.

  2. Always remember indexes in SQL are double edged sword, though index improves SELECT query performance (retrieval), it affects insert and update query performance, because index needs to be updated, rearranged every time.

  3. NONCluster index create separate physical structure for searching

  4. A table with a clustered index is called clustered table. Its rows are stored in a B-Tree structure sorted.
    Advantage: The query will run much faster than if the rows were being stored in some random order on the disk
    A non-clustered index requires separate storage than the table storage to store the index information.
    A table without any clustered indexes is called non-clustered table. Its rows are stored in heap structure unsorted. Both are very useful in sql.