Updating sql data cube in sql2016

21-Oct-2017 15:14

The statement joins the target to the source by using a column common to both tables, such as a primary key.You can then insert, modify, or delete data from the target table-all in one statement-according to how the rows match up as a result of the join.Recently, with some colleagues, I was working on a project with a serious challenge; there was this Analysis Server 2012 system with 40 physical cores, half a Terabyte of RAM and 10TB of SSD storage waiting to get pushed to its limits but it was installed via the famous ‘next,next finish’ setup approach and we had to tune the box from scratch.Also we had to pull the data from a database running on another box which means the data processing will be impacted by the network round-tripping overhead.With a few simple but effective tricks for tuning the basics and a methodology on how to check upon the effective workload processed by Analysis Server you will see there’s a lot to gain!If you take the time to optimize the basic throughput, your cubes will process faster and I’m sure, one day, your end-users will be thankful!

If the Quantity value for a book listed in this table is 0, then the book had been requested but not included with the delivery.Command line: Kernrate -s 60 -w -v 0 -i 80000 -z sqlncli11 -z msmdsrv -nv -a -x -j c:\symbols; Surprisingly more than half of our time isn’t spend in Analysis Server (or SQL server) at all, but in the SQL native Client data provider! Quick wins come sometimes from something that you may overlook completely, like checking the BIOS settings of the server.There is a lot to gain there; expect 30% improvement -or more- if you disable a couple of energy saving options.Get more work done with each network packet send over the wire by increasing the packet size from 4096 to 32767; this property can be set via the Data Source – Connection String too; just select on the left ‘All’ and scroll down till you see the ‘Packet Size’ field.When you have a lot of data to process with your SQL Server Analysis Server cubes, every second you spend less in updating and processing may count for your end-users; by monitoring the throughput while processing a single partition from a Measure Group you can set the foundation for further optimizations.

If the Quantity value for a book listed in this table is 0, then the book had been requested but not included with the delivery.Command line: Kernrate -s 60 -w -v 0 -i 80000 -z sqlncli11 -z msmdsrv -nv -a -x -j c:\symbols; Surprisingly more than half of our time isn’t spend in Analysis Server (or SQL server) at all, but in the SQL native Client data provider! Quick wins come sometimes from something that you may overlook completely, like checking the BIOS settings of the server.There is a lot to gain there; expect 30% improvement -or more- if you disable a couple of energy saving options.Get more work done with each network packet send over the wire by increasing the packet size from 4096 to 32767; this property can be set via the Data Source – Connection String too; just select on the left ‘All’ and scroll down till you see the ‘Packet Size’ field.When you have a lot of data to process with your SQL Server Analysis Server cubes, every second you spend less in updating and processing may count for your end-users; by monitoring the throughput while processing a single partition from a Measure Group you can set the foundation for further optimizations.The MERGE statement supports several clauses that facilitate the different types of data modifications.