Disadvantages of Dynamic Hashing
- A the amount of data changes, bucket size will also get changed. Bucket address table will keep track of these addresses because data address changes as bucket size increases or decreases. Maintenance of the bucket address table gets difficult when there is significant increase in data.
- In dynamic hashing, bucket overflow can happen.
Dynamic Hashing in DBMS
In this article, we will learn about dynamic hashing in DBMS. Hashing in DBMS is used for searching the needed data on the disc. As static hashing is not efficient for large databases, dynamic hashing provides a way to work efficiently with databases that can be scaled.