• هرگاه در اجرای Count ،هدفتان بدست آوردن تعداد ستون خاصی است، از (Count(column استفاده نمایید.

• روش اول 

(a+b)+ABS(a-b)

0.5(a+b)+ABS(a-b)

DECLARE @Value1 DECIMAL(5,2) = 80.22
DECLARE @Value2 DECIMAL(5,2) =90.34
SELECT (0.5 * ((@Value1 + @Value2) + ABS(@Value1 - @Value2))) AS MaxColumn  

• روش دوم

در این روش اگر مقدار یکی از اعداد Null باشد،ماکزیمم بین دو عدد، عدد غیر Null می‌باشد.

5- مشاهده مشخصات کلیه دیتابیس‌های موجود در SQL Server با استفاده از Sys.Databases .

Select * From sys.databases

خروجی بصورت زیر خواهد بود:

6- بوسیله دستور OUTPUT می‌توان خروجی Query‌های Delete،Update و Insert را مشاهده نمود:

مثال اول برای Query Delete :

در شکل، تک رکورد حذف شده را مشاهده می‌نمایید.

مثال دوم برای Query Update بصورت زیر میباشد:

در شکل، مقدار A، مقدار جدیدی است که بروز رسانی شده است و مقدار B مقداری است که مربوط به قبل از بروز رسانی می‌باشد.

مثال سوم برای Query Insert بصورت زیر میباشد:

موفق باشید.

        private static ObjectQuery TryGetObjectQuery<T>(IQueryable<T> source)
        {
            var dbQuery = source as DbQuery<T>;

            if (dbQuery != null)
            {
                const BindingFlags privateFieldFlags = 
                    BindingFlags.NonPublic | BindingFlags.Instance | BindingFlags.Public;

                var internalQuery =
                    source.GetType().GetProperty("InternalQuery", privateFieldFlags)
                        .GetValue(source);

                return
                    (ObjectQuery)internalQuery.GetType().GetProperty("ObjectQuery", privateFieldFlags)
                        .GetValue(internalQuery);
            }

            return null;
        }

 PM> Install-Package EFSecondLevelCache

 var products = context.Products.Include(x => x.Tags).FirstOrDefault();

 var products = context.Products.Include(x => x.Tags).Cacheable().FirstOrDefault(); // Async methods are supported too.

namespace EFSecondLevelCache.TestDataLayer.DataLayer
{
    public class SampleContext : DbContext
    {
        // public DbSet<Product> Products { get; set; }
 
        public SampleContext()
            : base("connectionString1")
        {
        }
 
        public override int SaveChanges()
        {
            return SaveAllChanges(invalidateCacheDependencies: true);
        }
 
        public int SaveAllChanges(bool invalidateCacheDependencies = true)
        {
            var changedEntityNames = getChangedEntityNames();
            var result = base.SaveChanges();
            if (invalidateCacheDependencies)
            {
               new EFCacheServiceProvider().InvalidateCacheDependencies(changedEntityNames);
            }
            return result;
        }
 
        private string[] getChangedEntityNames()
        {
            return this.ChangeTracker.Entries()
                .Where(x => x.State == EntityState.Added ||
                            x.State == EntityState.Modified ||
                            x.State == EntityState.Deleted)
                .Select(x => ObjectContext.GetObjectType(x.Entity.GetType()).FullName)
                .Distinct()
                .ToArray();
        }
    }
}

SQL SERVER 2016 – New T-SQL Functions – COMPRESS and DECOMPRESS 

var count = context.Facilities.Count();

var count = context.Facilities.Count(x => x.GuestCost >= 10);

var members = context.Members
                        .Where(member => member.RecommendedBy != null)
                        .GroupBy(member => member.RecommendedBy)
                        .Select(group => new
                        {
                            RecommendedBy = group.Key,
                            Count = group.Count()
                        })
                        .OrderBy(result => result.RecommendedBy)
                        .ToList();

var facilities = context.Bookings
                                    .GroupBy(booking => booking.FacId)
                                    .Select(group => new
                                    {
                                        FacId = group.Key,
                                        TotalSlots = group.Sum(booking => booking.Slots)
                                    })
                                    .OrderBy(result => result.FacId)
                                    .ToList();

var date1 = new DateTime(2012, 09, 01);
var date2 = new DateTime(2012, 10, 01);

var facilities = context.Bookings
                                    .Where(booking => booking.StartTime >= date1
                                                        && booking.StartTime < date2)
                                    .GroupBy(booking => booking.FacId)
                                    .Select(group => new
                                    {
                                        FacId = group.Key,
                                        TotalSlots = group.Sum(booking => booking.Slots)
                                    })
                                    .OrderBy(result => result.TotalSlots)
                                    .ToList();

var date1 = new DateTime(2012, 01, 01);
var date2 = new DateTime(2013, 01, 01);

var facilities = context.Bookings
                                    .Where(booking => booking.StartTime >= date1
                                                        && booking.StartTime < date2)
                                    .GroupBy(booking => new { booking.FacId, booking.StartTime.Month })
                                    .Select(group => new
                                    {
                                        group.Key.FacId,
                                        group.Key.Month,
                                        TotalSlots = group.Sum(booking => booking.Slots)
                                    })
                                    .OrderBy(result => result.FacId)
                                        .ThenBy(result => result.Month)
                                    .ToList();

var count = context.Bookings.Select(booking => booking.MemId).Distinct().Count();

var facilities = context.Bookings
                                    .GroupBy(booking => booking.FacId)
                                    .Select(group => new
                                    {
                                        FacId = group.Key,
                                        TotalSlots = group.Sum(booking => booking.Slots)
                                    })
                                    .Where(result => result.TotalSlots > 1000)
                                    .OrderBy(result => result.FacId)
                                    .ToList();

 var facilities =
                            context.Bookings.Select(booking =>
                                new
                                {
                                    booking.Facility.Name,
                                    Revenue = booking.MemId == 0 ?
                                            booking.Slots * booking.Facility.GuestCost
                                            : booking.Slots * booking.Facility.MemberCost
                                })
                                .GroupBy(b => b.Name)
                                .Select(group => new
                                {
                                    Name = group.Key,
                                    TotalRevenue = group.Sum(b => b.Revenue)
                                })
                                .OrderBy(result => result.TotalRevenue)
                                .ToList();

var facilities =
                            context.Bookings.Select(booking =>
                                new
                                {
                                    booking.Facility.Name,
                                    Revenue = booking.MemId == 0 ?
                                            booking.Slots * booking.Facility.GuestCost
                                            : booking.Slots * booking.Facility.MemberCost
                                })
                                .GroupBy(b => b.Name)
                                .Select(group => new
                                {
                                    Name = group.Key,
                                    TotalRevenue = group.Sum(b => b.Revenue)
                                })
                                .Where(result => result.TotalRevenue < 1000)
                                .OrderBy(result => result.TotalRevenue)
                                .ToList();

var item = context.Bookings
                                    .GroupBy(booking => booking.FacId)
                                    .Select(group => new
                                    {
                                        FacId = group.Key,
                                        TotalSlots = group.Sum(booking => booking.Slots)
                                    })
                                    .OrderByDescending(result => result.TotalSlots)
                                    .FirstOrDefault();

public static Task ForEachAsync<TSource>(IEnumerable<TSource> source, Func<TSource, CancellationToken, ValueTask> body)
public static Task ForEachAsync<TSource>(IEnumerable<TSource> source, CancellationToken cancellationToken, Func<TSource, CancellationToken, ValueTask> body)
public static Task ForEachAsync<TSource>(IEnumerable<TSource> source, ParallelOptions parallelOptions, Func<TSource, CancellationToken, ValueTask> body)
public static Task ForEachAsync<TSource>(IAsyncEnumerable<TSource> source, Func<TSource, CancellationToken, ValueTask> body)
public static Task ForEachAsync<TSource>(IAsyncEnumerable<TSource> source, CancellationToken cancellationToken, Func<TSource, CancellationToken, ValueTask> body)
public static Task ForEachAsync<TSource>(IAsyncEnumerable<TSource> source, ParallelOptions parallelOptions, Func<TSource, CancellationToken, ValueTask> body)

customers.ForEach(c => SendEmailAsync(c));

foreach(var c in customers)
{
    SendEmailAsync(c); // the return task is ignored
}

customers.ForEach(async c => await SendEmailAsync(c));

foreach(var c in customers)
{
   await SendEmailAsync(c);
}

foreach(var o in orders)
{
    await ProcessOrderAsync(o);
}

var tasks = orders.Select(o => ProcessOrderAsync(o)).ToList();
await Task.WhenAll(tasks);

New In-Memory OLTP improvements in CTP3.1 include:

• Unique indexes in memory-optimized tables, to complement the support for unique constraints that was released in CTP3
• LOB data types varchar(max), nvarchar(max), and varbinary(max) in memory-optimized tables and natively compiled modules
• Indexes with NULLable key columns in memory-optimized tables

Syntax inputdate AT TIME ZONE timezone.

• Inputdate: An expression that can be resolved to a smalldatetime, datetime, datetime2, or datetimeoffset value.
• Timezone: Name of the destination time zone in standard format as enumerated by Windows. Available time zones can be found by querying sys.time_zone_info.
  

SQL Server Analysis Services (SSAS) updates allow upgrading your existing models to 1200 compatibility level and a JSON editor for SSDT;

Select
{} On Columns ,
{} On Rows
From <Cube_Name>
Where <Condition>

Select
From [Adventure Works]

Select
From [Adventure Works]
Where [Measures].[Reseller Sales Amount]

Select
From [Adventure Works]
where [Measures].[Internet Sales Amount]

Select
[Measures].[Reseller Sales Amount] on columns
From [Adventure Works]

Select
[Date].[Calendar].[Calendar Year] on columns
From [Adventure Works]

Select

{[Date].[Calendar].[Calendar Year],[Date].[Calendar]} on columns

From [Adventure Works]

Select
{[Date].[Calendar].[Calendar Year],[Date].[Calendar]} on columns,
[Product].[Product Categories].[Category] on rows
From [Adventure Works]

Select
{[Date].[Calendar].[Calendar Year],[Date].[Calendar]} on columns,
{[Product].[Product Categories].[Category],[Product].[Product Categories]}on rows
From [Adventure Works]

Select
non empty {[Date].[Calendar].[Calendar Year],[Date].[Calendar]} on columns ,
{[Product].[Product Categories].[Category],[Product].[Product Categories]} on rows
From [Adventure Works]

Select
{[Date].[Calendar].[Calendar Year],[Date].[Calendar]} on columns,
{[Product].[Product Categories].[Category],[Product].[Product Categories]} on rows
From [Adventure Works]
Where [Measures].[Internet Sales Amount]

Select
non empty {[Date].[Calendar].[Calendar Year],[Date].[Calendar]} on columns,
non empty {[Product].[Product Categories].[Category],[Product].[Product Categories]} on rows
From [Adventure Works]
Where [Measures].[Internet Sales Amount]

Select
[Sales Channel] on columns
From [Adventure Works]

Select
[Product] on columns
From [Adventure Works]

Select
[Product].[Category] on columns
From [Adventure Works]

Select
[Product].[Category].[all]   on columns
From [Adventure Works]
--
Select
[Product].[Category].[All] on columns
From [Adventure Works]
--
Select
[Product].[Category].[(all)] on columns
From [Adventure Works]
--
Select
[Product].[Category].[all products] on columns
From [Adventure Works]

Select
{[Product].[Category].members} on columns
From [Adventure Works]

Select
[Product].[Category].[Category].members
-- dimension.hierarchy.level.members
on columns
From [Adventure Works]

Select
[Product].[Category].[Category].members,[Product].[Category].[All Products] on columns
From [Adventure Works]

Select
{[Product].[Category].[Category].members,[Product].[Category].[All Products]} on columns
From [Adventure Works]

Select
{[Product].[Category].[Category],[Product].[Category]}
on columns
From [Adventure Works]

Select
[Product].[Category].&[1]
on columns
From [Adventure Works]

Select
[Product].[Category].[Bikes]
on columns
From [Adventure Works]

Select
{[Product].[Category].[Bikes],[Product].[Category].[Clothing]}
on columns
From [Adventure Works]

Select
[Product].[Product Categories].members
on columns
From [Adventure Works]

Select
[Product].[Product Categories],[Product].[Category]
on columns
From [Adventure Works]

Go

Select
{[Product].[Product Categories],[Product].[Category]}
on columns
From [Adventure Works]

Select
[Product].[Product Categories].members
on rows
From [Adventure Works]

Select
{} on columns,
[Product].[Product Categories].members
on rows
From [Adventure Works]