Making Entity Framework Writes A Little Less Slow

Ilya Chumakov has some tips for making Entity Framework inserts and updates a lot faster:

When adding or modifying a large number of records (10³ and more), the Entity Framework performance is far from perfect. The reasons are architectural peculiarities of the framework, and non-optimality of the generated SQL. Leaping ahead, I can reveal that saving data through a bypass of the context significantly minimizes the execution time.

There’s some good advice in here, though not my favorite advice, which is don’t use Entity Framework.

Related Posts

What TDE Does To Query Performance

Matthew McGiffen has a few tests on using Transparent Data Encryption: By the time it had been executed 5 times (with the memory flushed between each execution) each query read about 600,000 pages sized at 8kb each – just under 5GB. If it took 50 seconds on the decryption of those pages, then each page […]

Read More

Views Don’t Improve Performance

Grant Fritchey lays down the law on views: One day, it’s going to happen. I’m going to hear some crazy theory about how SQL Server works and I’m going to literally explode. Instead of some long silly rant with oddball literary & pop culture references you’ll get a screed the size of Ulysses (and about […]

Read More

Categories

June 2017
MTWTFSS
« May Jul »
 1234
567891011
12131415161718
19202122232425
2627282930