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Home 2015 August What is heap Table

What is heap Table

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You can find an N number of articles on Heap Tables. But still, I would like to write a theory on Heap Table.

In simple term, Table without a clustered index is called as Heap Table. Data stored in a heap without specifying an order.

Initially, data stored in the order of its inserted, but later database engine can move data around in the heap so you cannot predict the order of data, and because of this you have to write an ORDER BY clause for each and every use.

When you can use Heap Structure?

Heap table is not advisable to use, but still, sometimes database architectures are using the Heap table.

You can use Heap structure when the table is tiny. If a table has a slight amount of data, then you can use a Heap structure because in that condition Table Scan performs faster than Index Scan.

Heap Structure use RID (Row Identifier) to fetch data from file and data page. RID contains file number, data page number and slot details of the page.

When you should not use heap table?

Simple, when the amount of data is higher and require a predefined ORDER BY to the SELECT bulk of data.

You cannot use a heap table when queries are frequently executing.
You cannot use a heap table when data are grouped together because a group of the data is required proper ordered of data.

Aug 15, 2015Anvesh Patel
row_number and partition by in MysqlThe Memory or Heap Storage Engine of MySQL
Anvesh Patel

Database Engineer

August 15, 2015 Database Theory, SQL ServerAnvesh Patel, database, database concept, database research and development, database standards, Database Theory, database topic, heap table, RDBMS, sql server heap
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I'm Anvesh Patel, a Database Engineer certified by Oracle and IBM. I'm working as a Database Architect, Database Optimizer, Database Administrator, Database Developer. Providing the best articles and solutions for different problems in the best manner through my blogs is my passion. I have more than six years of experience with various RDBMS products like MSSQL Server, PostgreSQL, MySQL, Greenplum and currently learning and doing research on BIGData and NoSQL technology. -- Hyderabad, India.

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