[Solved] Use multiple EXEC statements depending on a SELECT result

How to optimize this SQL query?

In case you have your own slow SQL query, you can optimize it automatically here.

For the query above, the following recommendations will be helpful as part of the SQL tuning process.
You'll find 3 sections below:

  1. Description of the steps you can take to speed up the query.
  2. The optimal indexes for this query, which you can copy and create in your database.
  3. An automatically re-written query you can copy and execute in your database.
The optimization process and recommendations:
  1. Avoid Calling Functions With Indexed Columns (query line: 14): When a function is used directly on an indexed column, the database's optimizer won’t be able to use the index. For example, if the column `datea` is indexed, the index won’t be used as it’s wrapped with the function `trunc`. If you can’t find an alternative condition that won’t use a function call, a possible solution is to store the required value in a new indexed column.
  2. Avoid Calling Functions With Indexed Columns (query line: 16): When a function is used directly on an indexed column, the database's optimizer won’t be able to use the index. For example, if the column `date` is indexed, the index won’t be used as it’s wrapped with the function `trunc`. If you can’t find an alternative condition that won’t use a function call, a possible solution is to store the required value in a new indexed column.
  3. Avoid Correlated Subqueries (query line: 8): A correlated subquery is a subquery that contains a reference (column: date) to a table that also appears in the outer query. Usually correlated queries can be rewritten with a join clause, which is the best practice. The database optimizer handles joins much better than correlated subqueries. Therefore, rephrasing the query with a join will allow the optimizer to use the most efficient execution plan for the query.
The optimized query:
SELECT
        a.date,
        (a.counter1 + c.counter) / (c.counter1 - a.counter1) percentdiferent 
    FROM
        dailytable a 
    JOIN
        (
            SELECT
                trunc(b.date) date,
                sum(counter1) counter1 
            FROM
                minutetable b 
            WHERE
                trunc(b.datea) = a.date 
            GROUP BY
                trunc(b.date)
        ) c 
            ON c.date = a.date 
            AND c.counter1 <> a.counter1 
    WHERE
        percentdiferent > 5

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* original question posted on StackOverflow here.