Henk\'s tech Blog. What will be the absolute fastest way to load data from a flatfile into a table within SQL Server 2. A lot has changed since my initial post on this topic many years ago, ike the introduction of In- memory optimized tables and Updateable Columnstore table indexes. Also the list of data transport vehicles to choose from is growing: besides BCP, the T- SQL Bulk Insert command, SSIS as ETL tool and Power. ![]() Shell there are some new ones added, like Poly. Base, External R Script or ADF. Providing Information for Best Value Awards! Welcome to the Past Performance Information Retrieval System (PPIRS). All data in PPIRS is classified as Source Selection. Experience a world class Orlando hotel when you book with Starwood at Sheraton Vistana Resort Villas, Lake Buena Vista/Orlando. Receive our best rates guaranteed plus. Welcome to our Website. Core 3 Property Management offers quality apartments for rent in Bloomington IL. In this post I will start with the checking how much faster the new durable & non- durable In- memory tables are! For these tests I’m using an Azure DS4. I generated a single ~6. Million row/7. 2 Gigabyte TPCH lineitem flat file as data to load. As baseline to for use for comparison we will use the time it takes to load the file into a Heap table: BULK INSERT . The durable ones will persist data on disk, the non- durable ones won’t. To enable this option we have to do some housekeeping and assign a fast disk volume for hosting these files. ![]() First, alter the database to enable the . CREATE RESOURCE POOL . Once bound we can dynamically change the amount of memory assigned to its pool via the . Every memory- optimized table must have at least one index (either a Range- or Hash index ) which are completely (re- )composed in memory and are never stored on disk. A durable table must have a declared primary key, which could then be supported by the required index. To support a primary key I added an extra row. Looking at the sys. Looking at the Performance counter .
That is the maximum of what the disk can deliver but doesn’t explain it all. Given the minor gain, we will park this one for future investigation. Monitoring the Memory Pool. Via the ! Now lets move on and check out how staging in a non- durable table performs! ![]() Completed in just 15 to 20 minutes, the SRS-2 identifies social impairment associated with autism spectrum disorder (ASD) and quantifies its severity. The Bulk insert Data loading into the non- durable table completes within 3 minutes with a throughput of 3. K rows/sec (vs 7 minutes)! This is 2. 3x faster then inserting into a heap table. ![]() ![]() For the staging of data this definitely a quick win! SSIS Single Bulk Insert into a Non- Durable table. Traditionally SSIS is the fastest way to load a file quickly into SQL Server because SSIS will handle all the data pre- processing so the SQL Server engine can spend its CPU ticks on persisting the data to disk. Will this still be the case when inserting the data into a non- durable table? Below a summary of the tests I ran with SSIS for this post: the SSIS Fastparse option and the . Also the Native OLE DB (SQLOLEDB. SQL Native Client (SQLNCLI1. When you run SSIS and SQL Server side by side,increasing the network packet size isn’t needed. SSIS with Balanced Data Distributor But wait! That is easy to achieve with SSIS; the Balanced Data Distributor will bring just that! This option, primarily designed to speed up OLTP, can also make a huge difference to shrink your batch window quickly!(To be continued!)GD Star Ratingloading.. GD Star Ratingloading.. ![]() ![]() Experience a world class Orlando hotel when you book with Starwood at Sheraton Lake Buena Vista Resort. Receive our best rates guaranteed plus complimentary Wi-Fi for.![]()
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