C
C#•5mo ago
Cryy

Performance question

Hey guys, I have an web app and I tried to optimize the performance of one report. One stuff that seems unefficient to me is this one:
var searchedResults = query.Count();
if (index.HasValue && pageSize.HasValue)
{
query = query.Skip(index.Value).Take(pageSize.Value);
}

var result = query.ToList();

var total = new SimsSiteInventoryReportData
{
QuantityOnSite = query.Sum(q => q.QuantityOnSite),
QuantityDispatchedToSite = query.Sum(q => q.QuantityDispatchedToSite),
QuarantinedOnSite = query.Sum(q => q.QuarantinedOnSite)
};
var searchedResults = query.Count();
if (index.HasValue && pageSize.HasValue)
{
query = query.Skip(index.Value).Take(pageSize.Value);
}

var result = query.ToList();

var total = new SimsSiteInventoryReportData
{
QuantityOnSite = query.Sum(q => q.QuantityOnSite),
QuantityDispatchedToSite = query.Sum(q => q.QuantityDispatchedToSite),
QuarantinedOnSite = query.Sum(q => q.QuarantinedOnSite)
};
If I understand it correctly, it'll execute the whole query 4 (5 if I count also counting but guess it's necessary) times so I tried to do optimize it to do everything in one step like this:
var result = new List<SimsSiteInventoryReportData>();
var total = new SimsSiteInventoryReportData();

foreach (var item in query)
{
total.QuantityOnSite += item.QuantityOnSite;
total.QuantityDispatchedToSite += item.QuantityDispatchedToSite;
total.QuarantinedOnSite += item.QuarantinedOnSite;
result.Add(item);
};
var result = new List<SimsSiteInventoryReportData>();
var total = new SimsSiteInventoryReportData();

foreach (var item in query)
{
total.QuantityOnSite += item.QuantityOnSite;
total.QuantityDispatchedToSite += item.QuantityDispatchedToSite;
total.QuarantinedOnSite += item.QuarantinedOnSite;
result.Add(item);
};
but according the Network in Chrome this optimalization is even a bit slower and I cant understand why. Any explanation ? Thanks
18 Replies
Angius
Angius•5mo ago
5 times, yes. .Count(), .ToList(), .Sum() x 3 None of them being async either, so the pinnacle of unoptimised I'd definitely check what the performance actually is As in, what takes the most time, how long is the database round trip, how long the endpoint takes to execute, how much of that is network latency, and so on
Cryy
CryyOP•5mo ago
Thank you. I tried it repeatedly and it's slower in same condition (network, hw, etc) and it really seems it consistently slower. It's small difference but I'd expect that my optimalization supposed to be faster. There are enother issues with the code and query like you said but cuurently I just want to understand this part
MarkPflug
MarkPflug•5mo ago
What are you doing with result? ToList will bring the entire query result back to your application. But, for what? If you need result, why not just sum it in app memory, rather than summing query and avoid three roundtrips to db?
Angius
Angius•5mo ago
I mean, that's what the latter version does And yet it is, apparently, slower Ah, no, wait, what is query in the latter example?
Cryy
CryyOP•5mo ago
That came to my mind to and I changed it like that "var result = query.ToList();
var total = new SimsSiteInventoryReportData
{
QuantityOnSite = result.Sum(q => q.QuantityOnSite),
QuantityDispatchedToSite = result.Sum(q => q.QuantityDispatchedToSite),
QuarantinedOnSite = result.Sum(q => q.QuarantinedOnSite)
};
var total = new SimsSiteInventoryReportData
{
QuantityOnSite = result.Sum(q => q.QuantityOnSite),
QuantityDispatchedToSite = result.Sum(q => q.QuantityDispatchedToSite),
QuarantinedOnSite = result.Sum(q => q.QuarantinedOnSite)
};
and it is faster but I understand why so I did not mentioned in 🙂
Angius
Angius•5mo ago
Because if you're looping over an IQueryable, then each loop iteration is a new db call
MarkPflug
MarkPflug•5mo ago
But that doesn't answer why result is needed in the first example.
Cryy
CryyOP•5mo ago
not sure I understand. Query is IQueryable and We are returning list from our repositories ... well, we returing something like that:
return new GetListResult<SimsSiteInventoryReportData>
{
ResultItems = result,
TotalItemsCount = searchedResults,
Totals = total
};
return new GetListResult<SimsSiteInventoryReportData>
{
ResultItems = result,
TotalItemsCount = searchedResults,
Totals = total
};
Angius
Angius•5mo ago
So, yeah, each loop over iquerable is another db call Resolve the query first, then loop over that Basically a mixture of the two versions
Cryy
CryyOP•5mo ago
Yeah it's IQueryable andyeah maybe that's the reason. But ... ToList() handles it differently ?
Angius
Angius•5mo ago
.ToList() resolves the query in a single db call And returns an in-memory list of items
Cryy
CryyOP•5mo ago
ok, so now I understand why it's slower. Not it makes sense. Thank you
Angius
Angius•5mo ago
Then, summing stuff in memory is easy and fast
Cryy
CryyOP•5mo ago
I expeccted it does something similar like foreach ... I dont know how it's implemented to be honest
Angius
Angius•5mo ago
I'd use the original code, but do the summing on result not on query
var searchedResults = query.Count();
if (index.HasValue && pageSize.HasValue)
{
query = query.Skip(index.Value).Take(pageSize.Value);
}

var result = query.ToList();

var total = new SimsSiteInventoryReportData
{
QuantityOnSite = result.Sum(q => q.QuantityOnSite),
QuantityDispatchedToSite = result.Sum(q => q.QuantityDispatchedToSite),
QuarantinedOnSite = result.Sum(q => q.QuarantinedOnSite)
};
var searchedResults = query.Count();
if (index.HasValue && pageSize.HasValue)
{
query = query.Skip(index.Value).Take(pageSize.Value);
}

var result = query.ToList();

var total = new SimsSiteInventoryReportData
{
QuantityOnSite = result.Sum(q => q.QuantityOnSite),
QuantityDispatchedToSite = result.Sum(q => q.QuantityDispatchedToSite),
QuarantinedOnSite = result.Sum(q => q.QuarantinedOnSite)
};
Cryy
CryyOP•5mo ago
i did it before and it's faster, thanks yeah. exactly.
Anton
Anton•5mo ago
also don't test it with the debugger enabled
Cryy
CryyOP•5mo ago
I just wanted to know why the first example wasnt and now I got my answer ... so thanks again. I did not. I just look to network tab to see how long the request takes thanks guys
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