Dynamically Generating SQL queries Based on Incremental Column values

I'm facing a challenge in dynamically generating SQL queries based on incremental q_ids for a project I'm working on. Here's the scenario:

• I have a table log_reports that contains logs of service activities, including timestamps and associated q_ids.
• Each service log entry is associated with a cls and a q.
• My goal is to generate SQL queries that calculate statistics such as average, minimum, and maximum time differences between the log creation time and the current timestamp, for each combination of cls_id and q_id.

Current Approach:

Here's the SQL query I'm currently using:

SELECT
    LPAD(FLOOR(AVG(DATEDIFF(HOUR, log.created_at, CURRENT_TIMESTAMP))), 2, '0') || ':' ||
    LPAD(FLOOR(AVG(DATEDIFF(MINUTE, log.created_at, CURRENT_TIMESTAMP))), 2, '0') || ':' ||
    LPAD(FLOOR(AVG(DATEDIFF(SECOND, log.created_at, CURRENT_TIMESTAMP))), 2, '0') AS average_time_difference, 
    
    LPAD(FLOOR(MIN(DATEDIFF(HOUR, log.created_at, CURRENT_TIMESTAMP))), 2, '0') || ':' ||
    LPAD(FLOOR(MIN(DATEDIFF(MINUTE, log.created_at, CURRENT_TIMESTAMP))), 2, '0') || ':' ||
    LPAD(FLOOR(MIN(DATEDIFF(SECOND, log.created_at, CURRENT_TIMESTAMP))), 2, '0') AS min_time_difference,
    
    LPAD(FLOOR(MAX(DATEDIFF(HOUR, log.created_at, CURRENT_TIMESTAMP))), 2, '0') || ':' ||
    LPAD(FLOOR(MAX(DATEDIFF(MINUTE, log.created_at, CURRENT_TIMESTAMP))), 2, '0') || ':' ||
    LPAD(FLOOR(MAX(DATEDIFF(SECOND, log.created_at, CURRENT_TIMESTAMP))), 2, '0') AS max_time_difference
FROM
    log_reports log  
LEFT JOIN
    pass_slip slip ON log.tkt = slip.id  
WHERE
    log.cls_id IN (61)
    AND log.q_id IN (19, 25, 27)
    AND slip.status IS NOT NULL
GROUP BY
     log.cls_id

This query works well for a fixed set of q_ids. However, I need to dynamically generate the query to include all q_id up to a certain point.

Expected Solution:

I'm looking for suggestions on how to dynamically generate the SQL query to include q_ids incrementally, such that:

1. Initially, the query should consider only the first q_id.
2. In subsequent executions, the query should include an additional q_id until all q_id are covered.

Additional Context:

• I'm using IRIS Database, which does not support common table expressions (CTEs) or native looping constructs within SQL queries.
• The solution can involve either SQL techniques.

Questions:

1. How can I dynamically generate SQL queries to include incremental q_ids without needing to execute the query multiple times?
2. Are there any best practices or alternative approaches I should consider for this scenario?
3. What scripting languages or techniques can I use to achieve this dynamic query generation if SQL alone isn't sufficient?

Any insights, code examples, or pointers to relevant resources would be greatly appreciated!

Thank you!