Clustered Columnstore Index Load With SSIS

Koen Verbeeck looks at loading a clustered columnstore index using SSIS:

I stumbled upon this MSDN blog post: SQL Server 2016 SSIS Data Flow Buffer Auto Sizing capability benefits data loading on Clustered Columnstore tables (catchy title). It explains how you can set the buffer properties of the data flow to try to insert data directly into compressed row groups instead of in the delta store. They fail to achieve this using SSIS 2014 and then they explain how using the new AutoAdjustBufferSize property of SSIS 2016 works miracles and everything is loaded directly into compressed row groups. Hint: you want to avoid loading data into the delta store, as it is row storage and you need to wait for the  tuple mover to load the data to the CCI in the background.

However, it’s still possible to achieve the same using SSIS 2014 (or earlier). Niko Neugebauer (blog |twitter) shows this in his post Clustered Columnstore Indexes – part 51 (“SSIS, DataFlow & Max Buffer Memory”). It still depends on the estimated row size, but using these settings you should get better results:

This advice is a bit different from loading standard rowstore-based tables, but serves to pack as many rows into each columnstore row group as possible.

Related Posts

Package References And ssisUnit

Bartosz Ratajczyk shows us a few methods for setting package references in ssisUnit: When you set the packages’ references in the ssisUnit tests you have four options for the source (StoragePath) of the package: Filesystem – references the package in the filesystem – either within a project or standalone MSDB – package stored in the msdb database Package store – […]

Read More

Where Columnar Databases Struggle

Teo Lachev makes a good point regarding columnar databases: A large company uses the SAP HANA ERP system. Users requires real-time access to transactional data. To avoid performance degradation, SLT replication (trigger-based change data capture) replicates data to another SAP HANA system that is used solely for reporting. The problem is that the more detailed […]

Read More


April 2016
« Mar May »