Subquerying and Joining: Retrieving Recent Mobile Requests with Specific Conditions
Introduction
As a database professional, it’s not uncommon to encounter complex queries that involve joining multiple tables and applying various conditions. In this article, we’ll delve into a specific problem involving two tables: MobileRequest and MobileRequestAnswers. We’ll explore how to use subqueries and joins to retrieve recent mobile requests with certain conditions.
The Problem
The problem at hand involves retrieving the most recent mobile requests for each job number that do not have question ID 4 in the set of records from MobileRequestAnswers. In other words, we want to get the latest mobile request IDs for jobs that don’t have any answers associated with question ID 4.
Let’s take a closer look at the tables involved:
MobileRequest Table
| Column Name | Data Type | Description |
|---|---|---|
| ID | int | Unique identifier for each record |
| Job_Number | int | Job number corresponding to the mobile request |
| MobileRequestID | int | Foreign key referencing the related MobileRequestAnswers table |
| CreatedOn | date | Date when the mobile request was created |
MobileRequestAnswers Table
| Column Name | Data Type | Description |
|---|---|---|
| ID | int | Unique identifier for each record |
| ResourceID | int | Foreign key referencing the corresponding MobileRequest table |
| MobileRequestID | int | Foreign key referencing the related MobileRequest table |
| QuestionID | int | Foreign key referencing the question in the MobileRequestAnswers table |
| Answer | varchar(255) | The answer to the question |
Solution
The solution involves using a subquery with a WITH clause to identify jobs that have no answers associated with question ID 4. We’ll then join this subquery with the original MobileRequest table to get the most recent mobile requests for these jobs.
Subquery: Identifying Jobs with No Question ID 4
WITH
jobs_checked_question_4 AS
(
SELECT
mr.*,
MAX(
CASE WHEN mra.QuestionID = 4 THEN 1 ELSE 0 END
)
OVER (PARTITION BY mr.job_number) AS HasQuestionID4,
RANK() OVER (PARTITION BY mr.job_number
ORDER BY mr.CreatedOn ) AS RequestRank
FROM
mobile_request AS mr
LEFT JOIN
mobile_request_answer AS mra
ON mra.MobileRequestID = mr.MobileRequestID
)
SELECT
*
FROM
jobs_checked_question_4
WHERE
HasQuestionID4 = 0 -- The job never associates to a QuestionID 4
AND RequestRank = 1 -- The most recent Request for each Job
This subquery works as follows:
- We use a
WITHclause to define the subquery. - We select all columns from the
mobile_requesttable and perform two types of aggregations: one for checking if there are any answers associated with question ID 4 (HasQuestionID4) and another for ranking the requests by their creation date (RequestRank). - We join the
mobile_request_answertable to themobile_requesttable on the foreign key relationship. - We use a left join because we want to include all records from the
mobile_requesttable, even if there are no matching records in themobile_request_answertable. - In the outer query, we select all columns from the subquery and filter the results to only include rows where
HasQuestionID4is 0 (i.e., jobs with no answers associated with question ID 4) andRequestRankis 1 (the most recent request for each job).
Joining with Original Mobile Request Table
SELECT
mr.*
FROM
(
SELECT
*
FROM
jobs_checked_question_4
WHERE
HasQuestionID4 = 0 -- The job never associates to a QuestionID 4
AND RequestRank = 1 -- The most recent Request for each Job
) AS subquery
JOIN
mobile_request AS mr
ON
mr.ID = subquery.MobileRequestID;
In this final step, we join the filtered results from the subquery with the original mobile_request table on the foreign key relationship. This allows us to retrieve all columns from both tables.
Conclusion
Retrieving recent mobile requests with specific conditions requires careful planning and execution of a well-crafted query. By using a subquery with aggregations and joins, we can efficiently identify jobs that meet our criteria and retrieve the most recent mobile requests for those jobs. This approach enables us to effectively manage complex data relationships in databases.
Example Use Cases
- Identifying high-priority tasks based on creation date and assignment status
- Retrieving top-performing employees based on sales performance and review ratings
- Analyzing website traffic patterns by region and device type
Last modified on 2024-07-02