Aggregate Sales Data from 2022 and 2023 Partitions

Retrieve Data from Multiple Partitions

Write a PostgreSQL query to fetch sales records from 2022 and 2023 in a range-partitioned Sales table.

Solution:

-- Fetch sales records from 2022 and 2023.
SELECT * FROM Sales 
-- Filter records with sale_date from January 1, 2022 up to but not including January 1, 2024.
WHERE sale_date >= '2022-01-01' AND sale_date < '2024-01-01';

Explanation:

• Purpose of the Query:
• Retrieves data from multiple partitions (Sales_2022 and Sales_2023).
• Key Components:
• The WHERE clause allows partition pruning.
• Real-World Application:
• Useful for analyzing data trends across multiple years.

Notes:

• Ensure that the date range aligns with the partitioning strategy.

For more Practice: Solve these Related Problems:

• Write a PostgreSQL query to retrieve data from two adjacent partitions using a BETWEEN clause on the partition key.
• Write a PostgreSQL query to fetch data from non-contiguous partitions by using an IN clause with specific partition key values.
• Write a PostgreSQL query to combine data from multiple partitions using UNION ALL while applying different filters to each partition.
• Write a PostgreSQL query to aggregate data across multiple partitions using GROUP BY and a date range that spans them.

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Previous PostgreSQL Exercise: Query Data using Partition Pruning.