Creating a Columnstore Index

Monica Rathbun shows a scenario where creating a clustered columnstore index can make data retrieval much faster:

Using AdventureworksDW2016CTP3 we will work with the FactResellerSalesXL table which has 11.6 million rows in it. The simple query we will use as a demo just selects the ProductKey and returns some aggregations grouping them by the different product keys.

First, we will run the query with no existing columnstore index and only using the current clustered rowstore (normal) index. Note that I turned on SET STATISTICS IO and TIME on. These two SET statements will help us better illustrate the improvements provided by the columnstore index. SET STATISTICS IO displays statistics on the amount of page activity generated by the query. It gives you important details such as page logical reads, physical reads, scans, and lob reads both physical and logical. SET STATISTICS TIME displays the amount of time needed to parse, compile, and execute each statement in the query. The output shows the time in milliseconds for each operation to complete. This allows you to really see, in numbers, the differences.

Click through for the example.

Related Posts

Batch Mode Normalization

Paul White digs into batch mode normalization and its consequences for performance: I mentioned in the introduction that not all eight-byte data types can fit in 64 bits. This fact is important because many columnstore and batch mode performance optimizations only work with data 64 bits in size. Aggregate pushdown is one of those things. There are […]

Read More

Clustered Columnstore and Azure SQL DB

Arun Sirpal takes us through online clustered columnstore index creation in Azure SQL Database: What tier do you need to create one of these things? Let’s see. CREATE CLUSTERED  COLUMNSTORE INDEX cciSales ON [SalesLT].[ProductModelProductDescription] WITH ( ONLINE = ON ) But I get this message, Msg 40536, Level 16, State 32, Line 1‘COLUMNSTORE’ is not […]

Read More

Categories

July 2019
MTWTFSS
« Jun Aug »
1234567
891011121314
15161718192021
22232425262728
293031