As you found out, the DbContext is not thread safe, therefore the only option to really run the queries in parallel would be to create a new DbContext for each Thread/Task.
The overhead of creating a new DbContext is pretty low.
https://msdn.microsoft.com/en-us/library/cc853327.aspx
Since the object will come from different DbContexts and to further increase performance I recommend you also use NoTracking()
Edit:
I made a simple test program with a database I had:
class Program
{
public static void Main(string[] args)
{
Console.WriteLine("Warming up db context...");
using (var db = new TestDbContext())
{
Console.WriteLine(db.AuditLogItems.ToList().Count);
}
// 1st run
RunAsync();
RunTasked();
// 2nd run
RunAsync();
RunTasked();
Console.ReadKey();
}
private static void RunAsync()
{
Task.Run(async () =>
{
var sw = Stopwatch.StartNew();
List<AuditLogItem> list1;
List<AuditLogItem> list2;
using (var db = new TestDbContext())
{
list1 = await db.AuditLogItems.AsNoTracking().ToListAsync();
list2 = await db.AuditLogItems.AsNoTracking().ToListAsync();
}
sw.Stop();
Console.WriteLine("Executed {0} in {1}ms. | {2}", "Async", sw.ElapsedMilliseconds, list1.Count + " " + list2.Count);
}).Wait();
}
private static void RunTasked()
{
Func<List<AuditLogItem>> runQuery = () =>
{
using (var db = new TestDbContext())
{
return db.AuditLogItems.AsNoTracking().ToList();
}
};
var sw = Stopwatch.StartNew();
var task1 = Task.Run(runQuery);
var task2 = Task.Run(runQuery);
Task.WaitAll(task1, task2);
sw.Stop();
Console.WriteLine("Executed {0} in {1}ms. | {2}", "Tasked", sw.ElapsedMilliseconds, task1.Result.Count + " " + task2.Result.Count);
}
}
The output is:
Warming up db context...
5908
Executed Async in 293ms. | 5908 5908
Executed Tasked in 56ms. | 5908 5908
Executed Async in 194ms. | 5908 5908
Executed Tasked in 32ms. | 5908 5908
So yes, option 2 is faster...