USE [WideWorldImporters];
GO

SET STATISTICS IO ON;
GO


/*
Query with a hash join
*/
SELECT
    [ol].[OrderID],
    [ol].[OrderLineID],
    [ol].[StockItemID],
    [ol].[PickedQuantity],
    [si].[StockItemName],
    [si].[UnitPrice]
FROM [Warehouse].[StockItems] [si]
    JOIN [Sales].[OrderLines] [ol]
    ON [si].[StockItemID] = [ol].[StockItemID];
GO

ALTER TABLE [Warehouse].[StockItems] ADD  CONSTRAINT [PK_Warehouse_StockItems] PRIMARY KEY CLUSTERED
(
   [StockItemID] ASC
)

CREATE NONCLUSTERED COLUMNSTORE INDEX [NCCX_Sales_OrderLines] ON [Sales].[OrderLines]
(
[OrderID],
[StockItemID],
[Description],
[Quantity],
[UnitPrice],
[PickedQuantity]
)

CREATE NONCLUSTERED INDEX [IX_OrderLines_StockItemID]
ON [Sales].[OrderLines](
[StockItemID] ASC,
[PickedQuantity] ASC,
[OrderID])
ON [PRIMARY];
GO

SELECT
    [ol].[OrderID],
    [ol].[OrderLineID],
    [ol].[StockItemID],
    [ol].[PickedQuantity],
    [si].[StockItemName],
    [si].[UnitPrice]
FROM [Sales].[OrderLines] [ol]
    JOIN [Warehouse].[StockItems] [si]
    ON [ol].[StockItemID] = [si].[StockItemID]
OPTION
(RECOMPILE);
GO

CREATE NONCLUSTERED INDEX [IX_OrderLines_StockItemID_Compressed]
ON [Sales].[OrderLines](
[StockItemID] ASC,
[PickedQuantity] ASC,
[OrderID])
WITH (DATA_COMPRESSION = PAGE)
ON [PRIMARY];
GO

SELECT
    [ol].[OrderID],
    [ol].[OrderLineID],
    [ol].[StockItemID],
    [ol].[PickedQuantity],
    [si].[StockItemName],
    [si].[UnitPrice]
FROM [Sales].[OrderLines] [ol]
    JOIN [Warehouse].[StockItems] [si]
    ON [ol].[StockItemID] = [si].[StockItemID]
OPTION
(RECOMPILE);
GO

SELECT
    [ol].[OrderID],
    [ol].[OrderLineID],
    [ol].[StockItemID],
    [ol].[PickedQuantity],
    [si].[StockItemName],
    [si].[UnitPrice]
FROM [Sales].[OrderLines] [ol] WITH (INDEX (IX_Sales_OrderLines_Perf_20160301_02))
    JOIN [Warehouse].[StockItems] [si]
    ON [ol].[StockItemID] = [si].[StockItemID];
GO

SELECT
    [ol].[OrderID],
    [ol].[OrderLineID],
    [ol].[StockItemID],
    [ol].[PickedQuantity],
    [si].[StockItemName],
    [si].[UnitPrice]
FROM [Sales].[OrderLines] [ol] WITH (INDEX (IX_OrderLines_StockItemID))
    JOIN [Warehouse].[StockItems] [si]
    ON [ol].[StockItemID] = [si].[StockItemID];
GO

SELECT
    [ol].[OrderID],
    [ol].[OrderLineID],
    [ol].[StockItemID],
    [ol].[PickedQuantity],
    [si].[StockItemName],
    [si].[UnitPrice]
FROM [Sales].[OrderLines] [ol] WITH (INDEX (IX_OrderLines_StockItemID_Compressed))
    JOIN [Warehouse].[StockItems] [si]
    ON [ol].[StockItemID] = [si].[StockItemID];
GO

SELECT COUNT(*)
FROM [Sales].[Orders];

SELECT COUNT_BIG (*)
FROM [Sales].[Orders];

CREATE FUNCTION dbo.CountProductsSold (
@SalesPersonID INT
) RETURNS INT

AS

BEGIN
    DECLARE @SoldCount INT;

    SELECT @SoldCount = COUNT(DISTINCT [ol].[StockItemID])
    FROM [Sales].[Orders] [o]
        JOIN [Sales].[OrderLines] [ol]
        ON [o].[OrderID] = [ol].[OrderID]
    WHERE [o].[SalespersonPersonID] = @SalesPersonID

    RETURN (@SoldCount);

END

SELECT
    [FullName] AS [SalesPerson],
    [dbo].[CountProductsSold]([PersonID]) AS [NumberOfProductsSold]
FROM [Application].[People]
WHERE [IsSalesperson] = 1;

SELECT
    [fs].[last_execution_time],
    [fs].[execution_count],
    [fs].[total_logical_reads]/[fs].[execution_count] [AvgLogicalReads],
    [fs].[max_logical_reads],
    [t].[text],
    [p].[query_plan]
FROM sys.dm_exec_function_stats [fs]
CROSS APPLY sys.dm_exec_sql_text([fs].sql_handle) [t]
CROSS APPLY sys.dm_exec_query_plan([fs].[plan_handle]) [p];

Stack Overflow Developer Desktop Build - 2017

One of the things we're big on at Stack Exchange is hardware - we love it. More importantly, we love not waiting on it. With that in mind, we upgrade our developer machines every 2 years. In case it helps anyone else, I'm posting our current parts list here. This isn't set in stone, we review and update it to the latest tech every time we build a machine. We also customize the build for each developer if needed - for example those needing extra space or specific display connections, etc. I'll try and keep this page updated as we make changes

CREATE PROC [dbo].[DisplayBillingInfo]
  @BeginDate DATETIME,
  @EndDate DATETIME
WITH RECOMPILE
AS 
SELECT BillingDate, BillingAmt
  FROM BillingInfo
  WHERE BillingDate between @BeginDate AND @EndDate;

DBCC FREEPROCCACHE;
EXEC dbo.DisplayBillingInfo 
  @BeginDate = '2005-01-01',  
  @EndDate  = '2005-01-03';
  
EXEC dbo.DisplayBillingInfo 
  @BeginDate = '1999-01-01',  
  @EndDate  = '1999-12-31';

CREATE PROC [dbo].[DisplayBillingInfo]
  @BeginDate DATETIME,
  @EndDate DATETIME
WITH RECOMPILE
AS 
DECLARE @StartDate DATETIME;
DECLARE @StopDate DATETIME;
SET @StartDate = @BeginDate;
SET @StopDate = @EndDate;
SELECT BillingDate, BillingAmt
  FROM BillingInfo
  WHERE BillingDate between @StartDate AND @StopDate;

CREATE PROC [dbo].[DisplayBillingInfoNarrow]
  @BeginDate DATETIME,
  @EndDate DATETIME
AS 
SELECT BillingDate, BillingAmt
  FROM BillingInfo
  WHERE BillingDate between @BeginDate AND @EndDate;  
GO
CREATE PROC [dbo].[DisplayBillingInfoWide]
  @BeginDate DATETIME,
  @EndDate DATETIME
AS 
SELECT BillingDate, BillingAmt
  FROM BillingInfo
  WHERE BillingDate between @BeginDate AND @EndDate;  
GO  
DROP PROCEDURE [dbo].[DisplayBillingInfo];
GO  
CREATE PROC [dbo].[DisplayBillingInfo]
  @BeginDate DATETIME,
  @EndDate DATETIME
AS 
IF DATEDIFF(DD,@BeginDate, @EndDate) < 4
  EXECUTE DisplayBillingInfoNarrow @BeginDate, @EndDate
ELSE
  EXECUTE DisplayBillingInfoWide @BeginDate, @EndDate
GO

A lot of time this keyword was a mystery for me and many starting JavaScript developers. It is a
powerful feature, but requires efforts to be understood

Compiles JavaScript into shader language which can then be compiled and run on GPUs for significantly boosted performance in specific use cases (neural networks, raytracing..) 

As part of RedMonk’s analysis about language rankings, here’s a visualization that tracks the movement of the top 20 languages over the history of the rankings.