I have a query that goes something like this.
Select *
FROM FaultCode FC
JOIN (
SELECT INNER_E.* FROM Equipment INNER_E
) E USING(EquipmentID)
LEFT JOIN AssetType AT ON AT.id_asset_type = E.id_asset_type AND AT.id_language = 'en-us'
LEFT JOIN Project P ON E.current_id_project = P.id_project
WHERE E.id_organization = 100057 AND E.equipment_status = 'ACTIVE'
AND FC.code_status = 'OPEN'
As you can see, in the outside query, there is a where clause in the outside main query.
But also, on the inside, we have an Inner Join statement with the line SELECT INNER_E.* FROM Equipment INNER_E
. This inner join makes us only retrieve the fault codes that are inside the equipment table (correct me if I'm wrong).
I am trying to optimize this query.
My question is, does it make any difference to do this
Select *
FROM FaultCode FC
JOIN (
SELECT INNER_E.* FROM Equipment INNER_E
WHERE INNER_E.id_organization = 100057 AND INNER_E.equipment_status = 'ACTIVE'
) E USING(EquipmentID)
LEFT JOIN AssetType AT ON AT.id_asset_type = E.id_asset_type AND AT.id_language = 'en-us'
LEFT JOIN Project P ON E.current_id_project = P.id_project
WHERE E.id_organization = 100057 AND E.equipment_status = 'ACTIVE'
AND FC.code_status = 'OPEN'
So repeating the where clause inside the inner sub query, to further limit it before it joins. Or does the optimizer know to do this automatically?
I tried implementing that line in code, and it seemed to only make my query slower strangely enough. Is there any way I can optimize that query above, or since it's pretty simple, is that the best it's going to get without indexes?
I tried running the Explain Select statement, but I have a hard time parsing what it's telling me. Are there any good resources I can look into to learn some tips or techniques to optimize my query?
I don't have any aggregate functions in my Select fields. So is the only real answer Indexes?