I have a relatively large database of 550GB on a SQL Server 2016 EE instance which has a max memory limit of 112GB of the total 128GB RAM available to the OS. The database is at the latest compatibility level of 130. Developers have complained of the below query which executes within an acceptable time to them of 30 seconds when executed in isolation, but when they run their processes at scale the same query is executed multiple times concurrently across several threads and this is when they have observed that the execution time suffers and performance/throughput drops. The problematic T-SQL is:
select distinct dg.entityId, et.EntityName, dg.Version
from DataGathering dg with(nolock)
inner join entity e with(nolock)
on e.EntityId = dg.EntityId
inner join entitytype et with(nolock)
on et.EntityTypeID = e.EntityTypeID
and et.EntityName = 'Account_Third_Party_Details'
inner join entitymapping em with(nolock)
on em.ChildEntityId = dg.EntityId
and em.ParentEntityId = -1
where dg.EntityId = dg.RootId
union all
select distinct dg1.EntityId, et.EntityName, dg1.version
from datagathering dg1 with(nolock)
inner join entity e with(nolock)
on e.EntityId = dg1.EntityId
inner join entitytype et with(nolock)
on et.EntityTypeID = e.EntityTypeID
and et.EntityName = 'TIN_Details'
where dg1.EntityId = dg1.RootId
and dg1.EntityId not in (
select distinct ChildEntityId
from entitymapping
where ChildEntityId = dg1.EntityId
and ParentEntityId = -1)
The actual execution plan shows the below memory grant warning:
The graphical execution plan can be found here:
https://www.brentozar.com/pastetheplan/?id=r18ZtCidN
Below are the row counts and sizes of the tables touched by this query. The most expensive operator is an index scan of a non-clustered index on the DataGathering table which makes sense given the size of the table compared to the others. I understand why/how the memory grant is required which I believe is due to how the query is written which requires multiple sorts and hash operators. What I need advice/guidance on is how to avoid the memory grants, T-SQL and re-factoring code is not my strong point, is there a way to re-write this query so that it is more performant? If I can tune the query to run faster in isolation then hopefully the benefits would transfer to when it is run at scale which is when the performance starts to suffer. Happy to provide any more information and hoping to learn something from this!
After updating statistics on 3 of the tables:
UPDATE STATISTICS Entity WITH FULLSCAN;
UPDATE STATISTICS EntityMapping WITH FULLSCAN;
UPDATE STATISTICS EntityType WITH FULLSCAN;
...the execution plan has improved some:
https://www.brentozar.com/pastetheplan/?id=rkVmdkh_4
Unfortunately, the "Excessive Grant" warning is still there.
Josh Darnell has kindly suggested to re-factor the query to the below in order to avoid parallelism being inhibited which he spotted on a certain operator. The re-factored query throws the error "Msg 4104, Level 16, State 1, Line 7 The multi-part identifier "et.EntityName" could not be bound." How do I work around that?
DECLARE @tinDetailsId int;
SELECT @tinDetailsId = et.EntityTypeID
FROM entitytype et
WHERE et.EntityName = 'TIN_Details';
select distinct dg1.EntityId, et.EntityName, dg1.version
from datagathering dg1 with(nolock)
inner join entity e with(nolock)
on e.EntityId = dg1.EntityId
where dg1.EntityId = dg1.RootId
and e.EntityTypeID = @tinDetailsId
and dg1.EntityId not in (
select distinct ChildEntityId
from entitymapping
where ChildEntityId = dg1.EntityId
and ParentEntityId = -1)
UNION ALL
select distinct dg.entityId, et.EntityName, dg.Version
from DataGathering dg with(nolock)
inner join entity e with(nolock)
on e.EntityId = dg.EntityId
inner join entitytype et with(nolock)
on et.EntityTypeID = e.EntityTypeID
and et.EntityName = 'Account_Third_Party_Details'
inner join entitymapping em with(nolock)
on em.ChildEntityId = dg.EntityId
and em.ParentEntityId = -1
where dg.EntityId = dg.RootId