I am currently getting this error:
System.Data.SqlClient.SqlException: New transaction is not allowed because there are other threads running in the session.
while running this code:
public class ProductManager : IProductManager
{
#region Declare Models
private RivWorks.Model.Negotiation.RIV_Entities _dbRiv = RivWorks.Model.Stores.RivEntities(AppSettings.RivWorkEntities_connString);
private RivWorks.Model.NegotiationAutos.RivFeedsEntities _dbFeed = RivWorks.Model.Stores.FeedEntities(AppSettings.FeedAutosEntities_connString);
#endregion
public IProduct GetProductById(Guid productId)
{
// Do a quick sync of the feeds...
SyncFeeds();
...
// get a product...
...
return product;
}
private void SyncFeeds()
{
bool found = false;
string feedSource = "AUTO";
switch (feedSource) // companyFeedDetail.FeedSourceTable.ToUpper())
{
case "AUTO":
var clientList = from a in _dbFeed.Client.Include("Auto") select a;
foreach (RivWorks.Model.NegotiationAutos.Client client in clientList)
{
var companyFeedDetailList = from a in _dbRiv.AutoNegotiationDetails where a.ClientID == client.ClientID select a;
foreach (RivWorks.Model.Negotiation.AutoNegotiationDetails companyFeedDetail in companyFeedDetailList)
{
if (companyFeedDetail.FeedSourceTable.ToUpper() == "AUTO")
{
var company = (from a in _dbRiv.Company.Include("Product") where a.CompanyId == companyFeedDetail.CompanyId select a).First();
foreach (RivWorks.Model.NegotiationAutos.Auto sourceProduct in client.Auto)
{
foreach (RivWorks.Model.Negotiation.Product targetProduct in company.Product)
{
if (targetProduct.alternateProductID == sourceProduct.AutoID)
{
found = true;
break;
}
}
if (!found)
{
var newProduct = new RivWorks.Model.Negotiation.Product();
newProduct.alternateProductID = sourceProduct.AutoID;
newProduct.isFromFeed = true;
newProduct.isDeleted = false;
newProduct.SKU = sourceProduct.StockNumber;
company.Product.Add(newProduct);
}
}
_dbRiv.SaveChanges(); // ### THIS BREAKS ### //
}
}
}
break;
}
}
}
Model #1 - This model sits in a database on our Dev Server.
Model #1 http://content.screencast.com/users/Keith.Barrows/folders/Jing/media/bdb2b000-6e60-4af0-a7a1-2bb6b05d8bc1/Model1.png
Model #2 - This model sits in a database on our Prod Server and is updated each day by automatic feeds. alt text http://content.screencast.com/users/Keith.Barrows/folders/Jing/media/4260259f-bce6-43d5-9d2a-017bd9a980d4/Model2.png
Note - The red circled items in Model #1 are the fields I use to "map" to Model #2. Please ignore the red circles in Model #2: that is from another question I had which is now answered.
Note: I still need to put in an isDeleted check so I can soft delete it from DB1 if it has gone out of our client's inventory.
All I want to do, with this particular code, is connect a company in DB1 with a client in DB2, get their product list from DB2 and INSERT it in DB1 if it is not already there. First time through should be a full pull of inventory. Each time it is run there after nothing should happen unless new inventory came in on the feed over night.
So the big question - how to I solve the transaction error I am getting? Do I need to drop and recreate my context each time through the loops (does not make sense to me)?
After much pulling out of hair I discovered that the foreach loops were the culprits. What needs to happen is to call EF but return it into an IList<T> of that target type then loop on the IList<T>.
Example:
IList<Client> clientList = from a in _dbFeed.Client.Include("Auto") select a;
foreach (RivWorks.Model.NegotiationAutos.Client client in clientList)
{
var companyFeedDetailList = from a in _dbRiv.AutoNegotiationDetails where a.ClientID == client.ClientID select a;
// ...
}
As you've already identified, you cannot save from within a foreach that is still drawing from the database via an active reader.
Calling ToList() or ToArray() is fine for small data sets, but when you have thousands of rows, you will be consuming a large amount of memory.
It's better to load the rows in chunks.
public static class EntityFrameworkUtil
{
public static IEnumerable<T> QueryInChunksOf<T>(this IQueryable<T> queryable, int chunkSize)
{
return queryable.QueryChunksOfSize(chunkSize).SelectMany(chunk => chunk);
}
public static IEnumerable<T[]> QueryChunksOfSize<T>(this IQueryable<T> queryable, int chunkSize)
{
int chunkNumber = 0;
while (true)
{
var query = (chunkNumber == 0)
? queryable
: queryable.Skip(chunkNumber * chunkSize);
var chunk = query.Take(chunkSize).ToArray();
if (chunk.Length == 0)
yield break;
yield return chunk;
chunkNumber++;
}
}
}
Given the above extension methods, you can write your query like this:
foreach (var client in clientList.OrderBy(c => c.Id).QueryInChunksOf(100))
{
// do stuff
context.SaveChanges();
}
The queryable object you call this method on must be ordered. This is because Entity Framework only supports IQueryable<T>.Skip(int) on ordered queries, which makes sense when you consider that multiple queries for different ranges require the ordering to be stable. If the ordering isn't important to you, just order by primary key as that's likely to have a clustered index.
This version will query the database in batches of 100. Note that SaveChanges() is called for each entity.
If you want to improve your throughput dramatically, you should call SaveChanges() less frequently. Use code like this instead:
foreach (var chunk in clientList.OrderBy(c => c.Id).QueryChunksOfSize(100))
{
foreach (var client in chunk)
{
// do stuff
}
context.SaveChanges();
}
This results in 100 times fewer database update calls. Of course each of those calls takes longer to complete, but you still come out way ahead in the end. Your mileage may vary, but this was worlds faster for me.
And it gets around the exception you were seeing.
EDIT I revisited this question after running SQL Profiler and updated a few things to improve performance. For anyone who is interested, here is some sample SQL that shows what is created by the DB.
The first loop doesn't need to skip anything, so is simpler.
SELECT TOP (100) -- the chunk size
[Extent1].[Id] AS [Id],
[Extent1].[Name] AS [Name],
FROM [dbo].[Clients] AS [Extent1]
ORDER BY [Extent1].[Id] ASC
Subsequent calls need to skip previous chunks of results, so introduces usage of row_number:
SELECT TOP (100) -- the chunk size
[Extent1].[Id] AS [Id],
[Extent1].[Name] AS [Name],
FROM (
SELECT [Extent1].[Id] AS [Id], [Extent1].[Name] AS [Name], row_number()
OVER (ORDER BY [Extent1].[Id] ASC) AS [row_number]
FROM [dbo].[Clients] AS [Extent1]
) AS [Extent1]
WHERE [Extent1].[row_number] > 100 -- the number of rows to skip
ORDER BY [Extent1].[Id] ASC
We have now posted an official response to the bug opened on Connect. The workarounds we recommend are as follows:
This error is due to Entity Framework creating an implicit transaction during the SaveChanges() call. The best way to work around the error is to use a different pattern (i.e., not saving while in the midst of reading) or by explicitly declaring a transaction. Here are three possible solutions:
// 1: Save after iteration (recommended approach in most cases)
using (var context = new MyContext())
{
foreach (var person in context.People)
{
// Change to person
}
context.SaveChanges();
}
// 2: Declare an explicit transaction
using (var transaction = new TransactionScope())
{
using (var context = new MyContext())
{
foreach (var person in context.People)
{
// Change to person
context.SaveChanges();
}
}
transaction.Complete();
}
// 3: Read rows ahead (Dangerous!)
using (var context = new MyContext())
{
var people = context.People.ToList(); // Note that this forces the database
// to evaluate the query immediately
// and could be very bad for large tables.
foreach (var person in people)
{
// Change to person
context.SaveChanges();
}
}
Indeed you cannot save changes inside a foreach loop in C# using Entity Framework.
context.SaveChanges() method acts like a commit on a regular database system (RDMS).
Just make all changes (which Entity Framework will cache) and then save all of them at once calling SaveChanges() after the loop (outside of it), like a database commit command.
This works if you can save all changes at once.
Just put context.SaveChanges() after end of your foreach(loop).
Making your queryable lists to .ToList() and it should work fine.
FYI: from a book and some lines adjusted because it's still valid:
Invoking SaveChanges() method begins a transaction which automatically rolls back all changes persisted to the database if an exception occurs before iteration completes; otherwise the transaction commits. You might be tempted to apply the method after each entity update or deletion rather than after iteration completes, especially when you're updating or deleting massive numbers of entities.
If you try to invoke SaveChanges() before all data has been processed, you incur a "New transaction is not allowed because there are other threads running in the session" exception. The exception occurs because SQL Server doesn't permit starting a new transaction on a connection that has a SqlDataReader open, even with Multiple Active Record Sets (MARS) enabled by the connection string (EF's default connection string enables MARS)
Sometimes its better to understand why things are happening ;-)
Always Use your selection as List
Eg:
var tempGroupOfFiles = Entities.Submited_Files.Where(r => r.FileStatusID == 10 && r.EventID == EventId).ToList();
Then Loop through the Collection while save changes
foreach (var item in tempGroupOfFiles)
{
var itemToUpdate = item;
if (itemToUpdate != null)
{
itemToUpdate.FileStatusID = 8;
itemToUpdate.LastModifiedDate = DateTime.Now;
}
Entities.SaveChanges();
}
I was getting this same issue but in a different situation. I had a list of items in a list box. The user can click an item and select delete but I am using a stored proc to delete the item because there is a lot of logic involved in deleting the item. When I call the stored proc the delete works fine but any future call to SaveChanges will cause the error. My solution was to call the stored proc outside of EF and this worked fine. For some reason when I call the stored proc using the EF way of doing things it leaves something open.
We started seeing this error "New transaction is not allowed because there are other threads running in the session" after migrating from EF5 to EF6.
Google brought us here but we are not calling SaveChanges() inside the loop. The errors were raised when executing a stored procedure using the ObjectContext.ExecuteFunction inside a foreach loop reading from the DB.
Any call to ObjectContext.ExecuteFunction wraps the function in a transaction. Beginning a transaction while there is already an open reader causes the error.
It is possible to disable wrapping the SP in a transaction by setting the following option.
_context.Configuration.EnsureTransactionsForFunctionsAndCommands = false;
The EnsureTransactionsForFunctionsAndCommands option allows the SP to run without creating its own transaction and the error is no longer raised.
DbContextConfiguration.EnsureTransactionsForFunctionsAndCommands Property
Here are another 2 options that allow you to invoke SaveChanges() in a for each loop.
The first option is use one DBContext to generate your list objects to iterate through, and then create a 2nd DBContext to call SaveChanges() on. Here is an example:
//Get your IQueryable list of objects from your main DBContext(db)
IQueryable<Object> objects = db.Object.Where(whatever where clause you desire);
//Create a new DBContext outside of the foreach loop
using (DBContext dbMod = new DBContext())
{
//Loop through the IQueryable
foreach (Object object in objects)
{
//Get the same object you are operating on in the foreach loop from the new DBContext(dbMod) using the objects id
Object objectMod = dbMod.Object.Find(object.id);
//Make whatever changes you need on objectMod
objectMod.RightNow = DateTime.Now;
//Invoke SaveChanges() on the dbMod context
dbMod.SaveChanges()
}
}
The 2nd option is to get a list of database objects from the DBContext, but to select only the id's. And then iterate through the list of id's (presumably an int) and get the object corresponding to each int, and invoke SaveChanges() that way. The idea behind this method is grabbing a large list of integers, is a lot more efficient then getting a large list of db objects and calling .ToList() on the entire object. Here is an example of this method:
//Get the list of objects you want from your DBContext, and select just the Id's and create a list
List<int> Ids = db.Object.Where(enter where clause here)Select(m => m.Id).ToList();
var objects = Ids.Select(id => db.Objects.Find(id));
foreach (var object in objects)
{
object.RightNow = DateTime.Now;
db.SaveChanges()
}
If you get this error due to foreach and you really need to save one entity first inside loop and use generated identity further in loop, as was in my case, the easiest solution is to use another DBContext to insert entity which will return Id and use this Id in outer context
For example
using (var context = new DatabaseContext())
{
...
using (var context1 = new DatabaseContext())
{
...
context1.SaveChanges();
}
//get id of inserted object from context1 and use is.
context.SaveChanges();
}
I was also facing same issue.
Here is the cause and solution.
http://blogs.msdn.com/b/cbiyikoglu/archive/2006/11/21/mars-transactions-and-sql-error-3997-3988-or-3983.aspx
Make sure before firing data manipulation commands like inserts, updates, you have closed all previous active SQL readers.
Most common error is functions that read data from db and return values.
For e.g functions like isRecordExist.
In this case we immediately return from the function if we found the record and forget to close the reader.
So in the project were I had this exact same issue the problem wasn't in the foreach or the .toList() it was actually in the AutoFac configuration we used.
This created some weird situations were the above error was thrown but also a bunch of other equivalent errors were thrown.
This was our fix:
Changed this:
container.RegisterType<DataContext>().As<DbContext>().InstancePerLifetimeScope();
container.RegisterType<DbFactory>().As<IDbFactory>().SingleInstance();
container.RegisterType<UnitOfWork>().As<IUnitOfWork>().InstancePerRequest();
To:
container.RegisterType<DataContext>().As<DbContext>().As<DbContext>();
container.RegisterType<DbFactory>().As<IDbFactory>().As<IDbFactory>().InstancePerLifetimeScope();
container.RegisterType<UnitOfWork>().As<IUnitOfWork>().As<IUnitOfWork>();//.InstancePerRequest();
I know it is an old question but i faced this error today.
and i found that, this error can be thrown when a database table trigger gets an error.
for your information, you can check your tables triggers too when you get this error.
I needed to read a huge ResultSet and update some records in the table.
I tried to use chunks as suggested in Drew Noakes's answer.
Unfortunately after 50000 records I've got OutofMemoryException.
The answer Entity framework large data set, out of memory exception explains, that
EF creates second copy of data which uses for change detection (so
that it can persist changes to the database). EF holds this second set
for the lifetime of the context and its this set thats running you out
of memory.
The recommendation is to re-create your context for each batch.
So I've retrieved Minimal and Maximum values of the primary key- the tables have primary keys as auto incremental integers.Then I retrieved from the database chunks of records by opening context for each chunk. After processing the chunk context closes and releases the memory. It insures that memory usage is not growing.
Below is a snippet from my code:
public void ProcessContextByChunks ()
{
var tableName = "MyTable";
var startTime = DateTime.Now;
int i = 0;
var minMaxIds = GetMinMaxIds();
for (int fromKeyID= minMaxIds.From; fromKeyID <= minMaxIds.To; fromKeyID = fromKeyID+_chunkSize)
{
try
{
using (var context = InitContext())
{
var chunk = GetMyTableQuery(context).Where(r => (r.KeyID >= fromKeyID) && (r.KeyID < fromKeyID+ _chunkSize));
try
{
foreach (var row in chunk)
{
foundCount = UpdateRowIfNeeded(++i, row);
}
context.SaveChanges();
}
catch (Exception exc)
{
LogChunkException(i, exc);
}
}
}
catch (Exception exc)
{
LogChunkException(i, exc);
}
}
LogSummaryLine(tableName, i, foundCount, startTime);
}
private FromToRange<int> GetminMaxIds()
{
var minMaxIds = new FromToRange<int>();
using (var context = InitContext())
{
var allRows = GetMyTableQuery(context);
minMaxIds.From = allRows.Min(n => (int?)n.KeyID ?? 0);
minMaxIds.To = allRows.Max(n => (int?)n.KeyID ?? 0);
}
return minMaxIds;
}
private IQueryable<MyTable> GetMyTableQuery(MyEFContext context)
{
return context.MyTable;
}
private MyEFContext InitContext()
{
var context = new MyEFContext();
context.Database.Connection.ConnectionString = _connectionString;
//context.Database.Log = SqlLog;
return context;
}
FromToRange is a simple structure with From and To properties.
Recently I faced the same issue in my project so posting my experience and it might help some on the same boat as i was. The issue was due to i am looping through the results of EF select query (results are not retrieved into memory).
var products = (from e in _context.Products
where e.StatusId == 1
select new { e.Name, e.Type });
foreach (var product in products)
{
//doing some insert EF Queries
//some EF select quries
await _context.SaveChangesAsync(stoppingToken); // This code breaks.
}
I have updated my Products select query to bring the results into LIST rather than IQueryable (This seems to be opening the reader throughout for each loop and hence save was failing).
var products = (from e in _context.Products
where e.StatusId == 1
select new { e.Name, e.Type })**.ToList()**; //see highlighted
The code below works for me:
private pricecheckEntities _context = new pricecheckEntities();
...
private void resetpcheckedtoFalse()
{
try
{
foreach (var product in _context.products)
{
product.pchecked = false;
_context.products.Attach(product);
_context.Entry(product).State = EntityState.Modified;
}
_context.SaveChanges();
}
catch (Exception extofException)
{
MessageBox.Show(extofException.ToString());
}
productsDataGrid.Items.Refresh();
}
In my case, the problem appeared when I called Stored Procedure via EF and then later SaveChanges throw this exception. The problem was in calling the procedure, the enumerator was not disposed. I fixed the code following way:
public bool IsUserInRole(string username, string roleName, DataContext context)
{
var result = context.aspnet_UsersInRoles_IsUserInRoleEF("/", username, roleName);
//using here solved the issue
using (var en = result.GetEnumerator())
{
if (!en.MoveNext())
throw new Exception("emty result of aspnet_UsersInRoles_IsUserInRoleEF");
int? resultData = en.Current;
return resultData == 1;//1 = success, see T-SQL for return codes
}
}
I am much late to the party but today I faced the same error and how I resolved was simple. My scenario was similar to this given code I was making DB transactions inside of nested for-each loops.
The problem is as a Single DB transaction takes a little bit time longer than for-each loop so once the earlier transaction is not complete then the new traction throws an exception, so the solution is to create a new object in the for-each loop where you are making a db transaction.
For the above mentioned scenarios the solution will be like this:
foreach (RivWorks.Model.Negotiation.AutoNegotiationDetails companyFeedDetail in companyFeedDetailList)
{
private RivWorks.Model.Negotiation.RIV_Entities _dbRiv = RivWorks.Model.Stores.RivEntities(AppSettings.RivWorkEntities_connString);
if (companyFeedDetail.FeedSourceTable.ToUpper() == "AUTO")
{
var company = (from a in _dbRiv.Company.Include("Product") where a.CompanyId == companyFeedDetail.CompanyId select a).First();
foreach (RivWorks.Model.NegotiationAutos.Auto sourceProduct in client.Auto)
{
foreach (RivWorks.Model.Negotiation.Product targetProduct in company.Product)
{
if (targetProduct.alternateProductID == sourceProduct.AutoID)
{
found = true;
break;
}
}
if (!found)
{
var newProduct = new RivWorks.Model.Negotiation.Product();
newProduct.alternateProductID = sourceProduct.AutoID;
newProduct.isFromFeed = true;
newProduct.isDeleted = false;
newProduct.SKU = sourceProduct.StockNumber;
company.Product.Add(newProduct);
}
}
_dbRiv.SaveChanges(); // ### THIS BREAKS ### //
}
}
I am a little bit late, but I had this error too. I solved the problem by checking what where the values that where updating.
I found out that my query was wrong and that there where over 250+ edits pending. So I corrected my query, and now it works correct.
So in my situation: Check the query for errors, by debugging over the result that the query returns. After that correct the query.
Hope this helps resolving future problems.
My situation was similar others above. I had an IQueryable which I was doing a foreach on. This in turn called a method with SaveChanges(). Booom exception here as there was already a transaction open from the query above.
// Example:
var myList = _context.Table.Where(x => x.time == null);
foreach(var i in myList)
{
MyFunction(i); // <<-- Has _context.SaveChanges() which throws exception
}
Adding ToList() to the end of the query was the solution in my case.
// Fix
var myList = _context.Table.Where(x => x.time == null).ToList();
Most of answers related with loops. But my problem was different. While i was trying to use multiple dbcontext.Savechanges() command in same scope, i got the error many times.
In my case for ef core 3.1 using
dbcontext.Database.BeginTransaction()
and
dbcontext.Database.CommitTransaction();
has fixed the problem. Here is my entire Code :
public IActionResult ApplyForCourse()
{
var master = _userService.GetMasterFromCurrentUser();
var trainee = new Trainee
{
CourseId = courseId,
JobStatus = model.JobStatus,
Gender = model.Gender,
Name = model.Name,
Surname = model.Surname,
Telephone = model.Telephone,
Email = model.Email,
BirthDate = model.BirthDate,
Description = model.Description,
EducationStatus = EducationStatus.AppliedForEducation,
TraineeType = TraineeType.SiteFirst
};
dbcontext.Trainees.Add(trainee);
dbcontext.SaveChanges();
dbcontext.Database.BeginTransaction();
var user = userManager.GetUserAsync(User).Result;
master.TraineeId = trainee.Id;
master.DateOfBirth = model.BirthDate;
master.EducationStatus = trainee.EducationStatus;
user.Gender = model.Gender;
user.Email = model.Email;
dbcontext.Database.CommitTransaction();
dbcontext.SaveChanges();
return RedirectToAction("Index", "Home");
}
}
I am connecting to a web service that gives me all prices for a day (without time info). Each of those price results has the id for a corresponding "batch run".
The "batch run" has a date+time stamp, but I have to make a separate call to get all the batch info for the day.
Hence, to get the actual time of each result, I need to combine the two API calls.
I'm using Reactive for this, but I can't reliably combine the two sets of data. I thought that CombineLatest would do it, but it doesn't seem to work as I thought (based on http://reactivex.io/documentation/operators/combinelatest.html, http://introtorx.com/Content/v1.0.10621.0/12_CombiningSequences.html#CombineLatest).
[TestMethod]
public async Task EvenMoreBasicCombineLatestTest()
{
int batchStart = 100, batchCount = 10;
//create 10 results with batch ids [100, 109]
//the test uses lists just to make debugging easier
var resultsWithBatchIdList = Enumerable.Range(batchStart, batchCount)
.Select(id => new { BatchRunId = id, ResultValue = id * 10 })
.ToList();
var resultsWithBatchId = Observable.ToObservable(resultsWithBatchIdList);
Assert.AreEqual(batchCount, await resultsWithBatchId.Count());
//create 10 batches with ids [100, 109]
var batchesList = Enumerable.Range(batchStart, batchCount)
.Select(id => new
{
ThisId = id,
BatchName = String.Concat("abcd", id)
})
.ToList();
var batchesObservable = Observable.ToObservable(batchesList);
Assert.AreEqual(batchCount, await batchesObservable.Count());
//turn the batch set into a dictionary so we can look up each batch by its id
var batchRunsByIdObservable = batchesObservable.ToDictionary(batch => batch.ThisId);
//for each result, look up the corresponding batch id in the dictionary to join them together
var resultsWithCorrespondingBatch =
batchRunsByIdObservable
.CombineLatest(resultsWithBatchId, (batchRunsById, result) =>
{
Assert.AreEqual(NumberOfResultsToCreate, batchRunsById.Count);
var correspondingBatch = batchRunsById[result.BatchRunId];
var priceResultAndSourceBatch = new
{
Result = result,
SourceBatchRun = correspondingBatch
};
return priceResultAndSourceBatch;
});
Assert.AreEqual(batchCount, await resultsWithCorrespondingBatch.Count());
}
I would expect as each element of the 'results' observable comes through, it would get combined with each element of the batch-id dictionary observable (which only ever has one element). But instead, it looks like only the last element of the result list gets joined.
I have a more complex problem deriving from this but while trying to create a minimum repro, even this is giving me unexpected results. This happens with version 3.1.1, 4.0.0, 4.2.0, etc.
(Note that the sequences don't generally match up as in this artificial example, so I can't just Zip them.)
So how can I do this join? A stream of results that I want to look up more info via a Dictionary (which also is coming from an Observable)?
Also note that the goal is to return the IObservable (resultsWithCorrespondingBatch), so I can't just await the batchRunsByIdObservable.
Ok I think I figured it out. I wish either of the two marble diagrams in the documentation had been just slightly different -- it would have made a subtlety of CombineLatest much more obvious:
N------1---2---3---
L--z--a------bc----
R------1---2-223---
a a bcc
It's combine latest -- so depending on when items get emitted, it's possible to miss some tuples. What I should have done is SelectMany:
NO: .CombineLatest(resultsWithBatchId, (batchRunsById, result) =>
YES: .SelectMany(batchRunsById => resultsWithBatchId.Select(result =>
Note that the "join" order is important: A.SelectMany(B) vs B.SelectMany(A) -- if A has 1 item and B has 100 items, the latter would result in 100 calls to subscribe to A.
I have a large (60m+) document collection, whereby each ID has many records in time series. Each record has an IMEI identifier, and I'm looking to select the most recent record for each IMEI in a given List<Imei>.
The brute force method is what is currently happening, whereby I create a loop for each IMEI and yield out the top most record, then return a complete collection after the loop completes. As such:
List<BsonDocument> documents = new List<BsonDocument>();
foreach(var config in imeiConfigs)
{
var filter = GetImeiFilter(config.IMEI);
var sort = GetImeiSort();
var data = _historyCollection.Find(filter).Sort(sort).Limit(1).FirstOrDefault();
documents.Add(data);
}
The end result is a List<BsonDocument> which contains the most recent BsonDocument for each IMEI, but it's not massively performant. If imeiConfigs is too large, the query takes a long time to run and return as the documents are rather large.
Is there a way to select the TOP 1 for each IMEI in a single query, as opposed to brute forcing like I am above?
have tried using the LINQ Take function?
List documents = new List();
foreach(var config in imeiConfigs)
{
var filter = GetImeiFilter(config.IMEI);
var sort = GetImeiSort();
var data = _historyCollection.Find(filter).Sort(sort).Take(1).FirstOrDefault();
documents.Add(data);
}
https://learn.microsoft.com/es-es/dotnet/api/system.linq.enumerable.take?view=netframework-4.8
I think bad performance come from "Sort(sort)", because the sorting forces it to go through all the collection.
But perhaps you can improuve time performance with parallel.
List<BsonDocument> documents;
documents = imeiConfigs.AsParallel().Select((config) =>
{
var filter = GetImeiFilter(config.IMEI);
var sort = GetImeiSort();
var data = _historyCollection.Find(filter).Sort(sort).Limit(1).FirstOrDefault();
return data;
}).ToList();
I'm using Entity Framework to build a database. There's two models; Workers and Skills. Each Worker has zero or more Skills. I initially read this data into memory from a CSV file somewhere, and store it in a dictionary called allWorkers. Next, I write the data to the database as such:
// Populate database
using (var db = new SolverDbContext())
{
// Add all distinct skills to database
db.Skills.AddRange(allSkills
.Distinct(StringComparer.InvariantCultureIgnoreCase)
.Select(s => new Skill
{
Reference = s
}));
db.SaveChanges(); // Very quick
var dbSkills = db.Skills.ToDictionary(k => k.Reference, v => v);
// Add all workers to database
var workforce = allWorkers.Values
.Select(i => new Worker
{
Reference = i.EMPLOYEE_REF,
Skills = i.GetSkills().Select(s => dbSkills[s]).ToArray(),
DefaultRegion = "wa",
DefaultEfficiency = i.TECH_EFFICIENCY
});
db.Workers.AddRange(workforce);
db.SaveChanges(); // This call takes 00:05:00.0482197
}
The last db.SaveChanges(); takes over five minutes to execute, which I feel is far too long. I ran SQL Server Profiler as the call is executing, and basically what I found was thousands of calls to:
INSERT [dbo].[SkillWorkers]([Skill_SkillId], [Worker_WorkerId])
VALUES (#0, #1)
There are 16,027 rows being added to SkillWorkers, which is a fair amount of data but not huge by any means. Is there any way to optimize this code so it doesn't take 5min to run?
Update: I've looked at other possible duplicates, such as this one, but I don't think they apply. First, I'm not bulk adding anything in a loop. I'm doing a single call to db.SaveChanges(); after every row has been added to db.Workers. This should be the fastest way to bulk insert. Second, I've set db.Configuration.AutoDetectChangesEnabled to false. The SaveChanges() call now takes 00:05:11.2273888 (In other words, about the same). I don't think this really matters since every row is new, thus there are no changes to detect.
I think what I'm looking for is a way to issue a single UPDATE statement containing all 16,000 skills.
One easy method is by using the EntityFramework.BulkInsert extension.
You can then do:
// Add all workers to database
var workforce = allWorkers.Values
.Select(i => new Worker
{
Reference = i.EMPLOYEE_REF,
Skills = i.GetSkills().Select(s => dbSkills[s]).ToArray(),
DefaultRegion = "wa",
DefaultEfficiency = i.TECH_EFFICIENCY
});
db.BulkInsert(workforce);
I am hitting the database in loop. Pls suggest how i can avoid this ?
foreach (var assignedPricing in reviewingPricing)
{
var assignedUserId = _wfActivitySvc.GetPricingReviewer(assignedPricing.PricingID).UserId;
if (assignedUserId == UserId)
{
reviewingAssignedPricings.Add(assignedPricing);
}
}
Create a new query in your database service:
//Build an collection with just unique ids
var priceIds = reviewingPricing.Select(x => x.PricingId).Distinct();
//Return a key/value collection with all priceId/UserId
var reviewerMap = _wfActivitySvc.GetAllReviewersByPriceId(priceIds);
//now you can loop without db queries
foreach (var pricing in reviewingPricing)
{
var reviewer = reviewMap.FirstOrDefault(x => x.PricingId == pricing.PricingId);
if (reviewerMap == null)
continue;
if (reviewer.UserId == UserId)
{
reviewingAssignedPricings.Add(pricing);
}
}
1) You may want to insert all records at once. You can create stored procedure to do this. If you use SQL server you can use BulkInserter class: https://github.com/ronnieoverby/RonnieOverbyGrabBag/blob/master/BulkInserter.cs
For production I had to tweak it a little bit internally to reduce its initialization time, but for infrequent bulk inserts Github version is just fine.
Usage example:
var bulkInserter = new BulkInserter<YourClass>(SqlConnection, "Table Name");
bulkInserter.Insert(reviewingAssignedPricings);
bulkInserter.Flush();
2) If this reads from database every time
_wfActivitySvc.GetPricingReviewer(assignedPricing.PricingID).UserId;
then replace it with single call outside loop to get all reviweres from database, then add to dictionary (key = priceID, value = reviewer) and then get reviewers from dictionary within loop. If you use simple List and .FirstOrDefault(), then it can be noticeably slow for 100+ items in list. jgauffin answer describes this idea.