Database Essentials - Partitioning Tables and Indexes - Hash Partitioning

In database management, hash partitioning is a technique used to create partitions based on modulus and remainder calculations. This article will guide you through the process of hash partitioning tables and explain the steps involved.

Explanation for the video

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Key Concepts Explanation

Create Partitioned Table

To create a partitioned table using hash partitioning, follow these steps:

CREATE TABLE users_hash_part (
    user_id SERIAL,
    user_first_name VARCHAR(30) NOT NULL,
    user_last_name VARCHAR(30) NOT NULL,
    user_email_id VARCHAR(50) NOT NULL,
    user_email_validated BOOLEAN DEFAULT FALSE,
    user_password VARCHAR(200),
    user_role VARCHAR(1) NOT NULL DEFAULT 'U',
    is_active BOOLEAN DEFAULT FALSE,
    created_dt DATE DEFAULT CURRENT_DATE,
    last_updated_ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
    PRIMARY KEY (user_id)
) PARTITION BY HASH(user_id);
We will not be able to insert the data until we add at least one partition.

Hands-On Tasks

  1. Create a partitioned table named users_hash_part with the specified columns.
  2. Ensure to partition the table based on the user_id field.
  3. Add partitions for each remainder with a modulus of 8.

Conclusion

Hash partitioning is a useful strategy for managing large datasets by distributing data across multiple partitions based on specific criteria. By following the steps outlined in this article, you can implement hash partitioning in your database tables effectively. Practice creating partitioned tables and experiment with different partitioning strategies to optimize data retrieval and storage. Remember to engage with the community for further learning and support.

Watch the video tutorial here