1. Sunil Agarwal | Principal Program Manager
02 | SQL Server 2014: Column Store Index
Sunil Agarwal | Principal Program Manager

2. Clustered Columnstore Index: Updatable
1/17/2019
Clustered Columnstore Index: Updatable
Table consists of column store and row store
“Tuple mover” converts data into columnar format once delta store is full (~1M of rows)
BULK INSERT
if batch < 100k, inserts go into delta store, otherwise columnstore
REORGANIZE statement converts delta store into columnar storage.
DML (update, delete, insert) operations leverage delta store
INSERT Values
Always lands into delta store
DELETE (columnar storage)
Logical operation
Data physically remove after REBUILD operation is performed.
UPDATE
DELETE followed by INSERT.
SELECT
Unifies data from Column and Row stores - internal UNION operation. C1 C2 C3 C4 C5 C6
Delta (row)
store C1 C2 C3 C4 C5 C6
Column
Store
tuple mover
© 2014 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

3. Clustered Columnstore Index: Tuple Mover
Tech Ready 15
1/17/2019
Clustered Columnstore Index: Tuple Mover
One Tuple Mover per Instance
Runs every few minutes
Compresses one rowgroup at a time
Multiple Delta Rowgroups: waits 15 seconds to compress the next rowgroup
Takes a short term SCH-M lock when switching
By design to reduce excessive resource consumption by tuple mover
Reorganize
Explicit control to the user to move delta rowgroup(s) to columnar storage
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

4. SQL Sever 2014: Clustered Columnstore Index (CCI)
Why is clustered index important?
Saves space
Simplifies management – no secondary indexes to maintain
PREFERRED storage engine for DW scenarios
We encourage users to either move existing tables to CCI, or start using CCI for new tables
Additional data types are supported
High precision decimal, datatypeoffset, binary, varbinary, uniqueidentifier, etc)
Unsupported types: spatial, XML, max types
New Batch Mode Operators
DDL supported
Evolve your schema design as needed
** Space Used = Table space + Index space
91% savings

5. Clustered Columnstore Index: Improved Batchmode
Process multiple rows together for Batch hash join spilling implemented.
Mixed mode (row and batch) query execution
presence of row operators does not prevent operators to be executed in the batch mode
Additional batch operators:
joins (inner, outer)
partial/global aggregates w/ and w/o group by
union all operator

6. Columnstore Performance: Generic DW

7. Columnstore Performance: TPC-H