[Solved] Multiple correlated subqueries with different conditions to same table

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. Create Optimal Indexes (modified query below): The recommended indexes are an integral part of this optimization effort and should be created before testing the execution duration of the optimized query.
Optimal indexes for this query:
CREATE INDEX stocks_idx_item_id_enter_on ON "stocks" ("item_id","enter_on");
The optimized query:
SELECT
        o.item_id,
        o.quantity,
        o.order_on,
        (SELECT
            COALESCE(MAX(s.enter_on),
            NULL::DATE) 
        FROM
            stocks s 
        WHERE
            s.enter_on <= o.order_on 
            AND s.item_id = o.item_id) AS include_after,
        (SELECT
            COALESCE(MIN(s.enter_on),
            NULL::DATE) 
        FROM
            stocks s 
        WHERE
            s.enter_on > o.order_on 
            AND s.item_id = o.item_id) AS include_before 
    FROM
        orders o

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* original question posted on StackOverflow here.