Distribute Customer Data with Hash Partitioning

Creating a Hash-Partitioned Table

Write a PostgreSQL query to create a partitioned table for customers based on customer ID using hash partitioning.

Solution:

-- Create a partitioned table for customer data using hash partitioning.
CREATE TABLE Customers (
    -- Define an auto-incrementing primary key column named customer_id.
    customer_id SERIAL PRIMARY KEY,
    -- Define a non-nullable column name of type TEXT.
    name TEXT NOT NULL,
    -- Define a non-nullable column email of type TEXT.
    email TEXT NOT NULL
) PARTITION BY HASH (customer_id); 

Explanation:

• Purpose of the Query:
• Uses hash partitioning to distribute customer data evenly.
• Key Components:
• PARTITION BY HASH (customer_id): Assigns data to partitions based on a hash function.
• Real-World Application:
• Useful for evenly distributing workload across partitions.

Notes:

• Hash partitioning is best for high-cardinality columns like unique IDs.

For more Practice: Solve these Related Problems:

• Write a PostgreSQL query to create a partitioned table for user sessions using hash partitioning based on a session_id column.
• Write a PostgreSQL query to create a partitioned table for order records using hash partitioning on an order_id column.
• Write a PostgreSQL query to create a partitioned table for vehicle registrations using hash partitioning on a registration_number column.
• Write a PostgreSQL query to create a partitioned table for bank transactions using hash partitioning on a transaction_id column.

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Previous PostgreSQL Exercise: Creating Partitions for a List-Partitioned Table.