Indexing and its Types
What is Indexing?
In this article, we will learn about Indexing and it’s types. Indexing is defined as a data structure technique that allows you to quickly retrieve records from a database file. It is based on the same attributes on which the indices has been done.
Indexing and it’s Types
- An index
- Takes a search key as input.
- Efficiently returns a collection of matching records.
- An Index is a small table having only two columns.
- The first column comprises a copy of the primary or candidate key of a table.
- The second column contains a set of pointers for holding the address of the disk block where that specific key-value is stored.
- There are mainly 4 types of indexing methods
- Primary Index is an ordered file which has fixed length size with two fields.
- The first field is the same a primary key and second field is pointed to that specific data block.
- In the primary index, there is always one to one relationship between the entries in the index table.
- Primary Indexing is further divided into two types.
- Dense Index
- Sparse Index
- In a dense index, a record is created for every search key valued in the database.
- Dense indexing helps you to search faster but needs more space to store index records.
- In dense indexing, records contain search key value and points to the real record on the disk.
- The sparse index is an index record that appears for only some of the values in the file.
- Sparse Index helps you to resolve the issues of dense indexing.
- In sparse indexing technique, a range of index columns stores the same data block address, and when data needs to be retrieved, this block address will be fetched.
- Sparse indexing method stores index records for only some search key values.
- It needs less space, less maintenance overhead for insertion, and deletions but it is slower compared to the dense index for locating records.
- The secondary index can be generated by a field which has a unique value for each record.
- It is also known as a non-clustering index.
- This two-level database indexing technique is used to reduce the mapping size of the first level.
- For the first level, a large range of numbers is selected, because of this mapping size always remains small.
- In a bank account database, data is stored sequentially by Account_No, we may want to find all accounts in of a specific branch of some bank.
- In this case, we can have a secondary index for every search key.
- Index record is a record pointing to a bucket that contains pointers to all the records with their specific search key value.
- In a clustered index, records themselves are stored in the index and not pointers.
- Sometimes the index is created on non-primary key columns which might not be unique for each record. In such a situation, you can group two or more columns to get the unique values and create an index which is called clustered Index.
- This also helps you to identify the record faster.
- Consider a company recruited many employees in various departments. In this case, clustering index should be created for all employees who belong to the same dept.
- In a single cluster it is considered that an index points to the cluster as a whole.
- Multilevel Indexing is created when a primary index does not fit in memory.
- In this type of indexing method, you can reduce the number of disk accesses to short any record and kept on a disk as a sequential file and create a sparse base on that file.
- B-tree index is the widely used data structures for indexing.
- It is a multilevel index format technique which is balanced binary search trees.
- All leaf nodes of the B tree signify actual data pointers.
- In B-Tree indexing, all leaf nodes are interlinked with a link list, which allows a it to support both random and sequential access.
Properties of B-Tree
- Every path from the root to leaf are mostly of equal length.
- Every node which is not a root or a leaf has between n/2 and n children, where n is the degree of B-tree.
Advantages of Indexing
- It helps you to reduce the total number of I/O operations needed to retrieve the data, so you don’t need to access a row in the database from an index structure.
- Offers faster search and retrieval of data to users.
- Indexing also helps you to reduce table space as you don’t need to link to a row in a table, as there is no need to store the ROWID in the Index. Thus you will able to reduce the table space.
- You don’t need to sort data in the lead nodes as the value of the primary key classifies it.
Disadvantages of Indexing
- To perform the indexing database management system, you need a primary key on the table with a unique value.
- You are not allowed to partition an index-organized table.
- SQL indexing decrease performance in INSERT, DELETE, and UPDATE query.
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