Webcast SQL Server 2014 Inside Out
•
0 likes•944 views
This document discusses SQL Server 2014 and includes the following key points: 1. It covers topics in SQL Server 2014 such as latching, locking, recovery, and buffer pool. 2. It shows examples of creating memory-optimized tables and clustered columnstore indexes. 3. It demonstrates querying and inserting data into a fact sales table using different indexes.
Recommended
More Related Content
What's hot
Similar to Webcast SQL Server 2014 Inside Out
Similar to Webcast SQL Server 2014 Inside Out (20)
Recently uploaded
Recently uploaded (20)
Webcast SQL Server 2014 Inside Out
- 1. SQL Server 2014 Inside Out Regis Gimenis MCS Architect
- 7. Michael Stonebraker (http://slideshot.epfl.ch/play/suri_stonebraker) Latching 24% Locking 24% Recovery 24% Buffer Pool 24% Operação (I,U,D) 4%
- 9. CREATE TABLE Customer ( CustomerID INT NOT NULL PRIMARY KEY NONCLUSTERED HASH WITH (BUCKET_COUNT = 1000000), Name NVARCHAR(250) NOT NULL INDEX [Name] HASH WITH (BUCKET_COUNT = 1000000), CustomerSince DATETIME NULL) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_AND_DATA)
- 10. Demo 10
- 13. CREATE CLUSTERED COLUMNSTORE INDEX cci ON FactSales;
- 14. OrderDateKey ProductKey StoreKey RegionKey Quantity SalesAmount 20140301 1001 1 1 4 4.004,00 20140301 1020 4 3 3 3.060,00 20140301 1010 4 1 2 2.020,00 20140301 1020 3 2 3 3.060,00 20140301 1005 5 3 1 1.005,00 20140302 1005 2 1 4 4.020,00 20140302 1001 2 2 3 3.003,00 20140302 1020 3 3 4 4.080,00 20140302 1010 1 1 2 2.020,00 20140303 1020 4 3 3 3.060,00 OrderDateKey ProductKey StoreKey RegionKey Quantity SalesAmount 20140301 1001 1 1 4 4.004,00 20140301 1020 4 3 3 3.060,00 20140301 1010 4 1 2 2.020,00 20140301 1020 3 2 3 3.060,00 20140301 1005 5 3 1 1.005,00 OrderDateKey ProductKey StoreKey RegionKey Quantity SalesAmount 20140302 1005 2 1 4 4.020,00 20140302 1001 2 2 3 3.003,00 20140302 1020 3 3 4 4.080,00 20140302 1010 1 1 2 2.020,00 20140303 1020 4 3 3 3.060,00
- 15. OrderDateKey ProductKey StoreKey RegionKey Quantity SalesAmount 20140301 1001 1 1 4 4.004,00 20140301 1020 4 3 3 3.060,00 20140301 1010 4 1 2 2.020,00 20140301 1020 3 2 3 3.060,00 20140301 1005 5 3 1 1.005,00 OrderDateKey ProductKey StoreKey RegionKey Quantity SalesAmount 20140302 1005 2 1 4 4.020,00 20140302 1001 2 2 3 3.003,00 20140302 1020 3 3 4 4.080,00 20140302 1010 1 1 2 2.020,00 20140303 1020 4 3 3 3.060,00 OrderDateKey ProductKey StoreKey RegionKey Quantity SalesAmount 20140301 1001 1 1 4 4.004,00 20140301 1020 4 3 3 3.060,00 20140301 1010 4 1 2 2.020,00 20140301 1020 3 2 3 3.060,00 20140301 1005 5 3 1 1.005,00 OrderDateKey ProductKey StoreKey RegionKey Quantity SalesAmount 20140302 1005 2 1 4 4.020,00 20140302 1001 2 2 3 3.003,00 20140302 1020 3 3 4 4.080,00 20140302 1010 1 1 2 2.020,00 20140303 1020 4 3 3 3.060,00
- 16. OrderDateKey ProductKey StoreKey RegionKey Quantity SalesAmount 20140301 1001 1 1 4 4.004,00 20140301 1020 4 3 3 3.060,00 20140301 1010 4 1 2 2.020,00 20140301 1020 3 2 3 3.060,00 20140301 1005 5 3 1 1.005,00 OrderDateKey ProductKey StoreKey RegionKey Quantity SalesAmount 20140302 1005 2 1 4 4.020,00 20140302 1001 2 2 3 3.003,00 20140302 1020 3 3 4 4.080,00 20140302 1010 1 1 2 2.020,00 20140303 1020 4 3 3 3.060,00 OrderDateKey 20140301 20140301 20140301 20140301 20140301 OrderDateKey 20140302 20140302 20140302 20140302 20140303 ProductKey 1001 1020 1010 1020 1005 ProductKey 1005 1001 1020 1010 1020 StoreKey 1 4 4 3 5 StoreKey 2 2 3 1 4 RegionKey 1 3 1 2 3 RegionKey 1 2 3 1 4 Quantity 4 3 2 3 1 Quantity 4 3 4 2 3 SalesAmount 4.004,00 3.060,00 2.020,00 3.060,00 1.005,00 SalesAmount 4.020,00 3.003,00 4.080,00 2.020,00 3.060,00
- 17. SELECT ProductKey, Sum (SalesAmount) FROM FactSales WHERE OrderDateKey > 20140301 GROUP BY ProductKey OrderDateKey 20140301 20140301 20140301 20140301 20140301 OrderDateKey 20140302 20140302 20140302 20140302 20140303 ProductKey 1001 1020 1010 1020 1005 ProductKey 1005 1001 1020 1010 1020 StoreKey 1 4 4 3 5 StoreKey 2 2 3 1 4 RegionKey 1 3 1 2 3 RegionKey 1 2 3 1 4 Quantity 4 3 2 3 1 Quantity 4 3 4 2 3 SalesAmount 4.004,00 3.060,00 2.020,00 3.060,00 1.005,00 SalesAmount 4.020,00 3.003,00 4.080,00 2.020,00 3.060,00
- 18. OrderDateKey 20140301 20140301 20140301 20140301 20140301 OrderDateKey 20140302 20140302 20140302 20140302 20140303 ProductKey 1001 1020 1010 1020 1005 ProductKey 1005 1001 1020 1010 1020 StoreKey 1 4 4 3 5 StoreKey 2 2 3 1 4 RegionKey 1 3 1 2 3 RegionKey 1 2 3 1 4 Quantity 4 3 2 3 1 Quantity 4 3 4 2 3 SalesAmount 4.004,00 3.060,00 2.020,00 3.060,00 1.005,00 SalesAmount 4.020,00 3.003,00 4.080,00 2.020,00 3.060,00 OrderDateKey ProductKey StoreKey RegionKey Quantity SalesAmount 20140304 1001 3 4 3 3.003,00 20140304 1020 5 2 2 4.020,00 20140304 1010 2 2 1 1.010,00 INSERT INTO FactSales VALUES (20140304, 1010, 2, 2, 1, 1.010,00)
- 19. Demo 19
- 24. Dados e Log Windows Azure Virtual Network
- 25. Demo 25