Efficient Strategies for Querying PostgreSQL Partitioned Tables
This resource offers a total of 50 PostgreSQL Querying partitioned tables problems for practice. It includes 10 main exercises, each accompanied by solutions, detailed explanations, and four related problems.
Following exercises focus on querying partitioned tables in PostgreSQL, covering essential techniques like partition pruning, metadata retrieval, and data aggregation.
1. Retrieve All Data from a Partitioned Table
Write a PostgreSQL query to fetch all records from a partitioned Sales table.
2. Query Data from a Specific Partition
Write a PostgreSQL query to fetch all sales records from the Sales_2024 partition.
3. Query Data using Partition Pruning
Write a PostgreSQL query to retrieve all sales records from the year 2023 in a range-partitioned Sales table.
4. Retrieve Data from Multiple Partitions
Write a PostgreSQL query to fetch sales records from 2022 and 2023 in a range-partitioned Sales table.
5. Count Records in Each Partition
Write a PostgreSQL query to count the number of records in each partition of the Sales table.
6. Query Data using Index Scan on Partitioned Table
Write a PostgreSQL query to fetch all sales records of a specific customer_id = 101 from an indexed partitioned Sales table.
7. Use UNION to Query Specific Partitions
Write a PostgreSQL query to fetch data from Sales_2022 and Sales_2023 partitions using UNION.
8. Querying Default Partition Data
Write a PostgreSQL query to fetch records stored in the default partition of the Sales table.
9. Query Partition Metadata
Write a PostgreSQL query to list all partitions under the Orders table.
10. Querying Partition Size in PostgreSQL
Write a PostgreSQL query to check the disk size of a specific partition Sales_2023.
More to Come !
Do not submit any solution of the above exercises at here, if you want to contribute go to the appropriate exercise page.
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