More On String_Split

Aaron Bertrand has another update on the String_Split function, specifically how it compares to user-defined table types:

For this specific test, with a specific data size, distribution, and number of parameters, and on my particular hardware, JSON was a consistent winner (though marginally so). For some of the other tests in previous posts, though, other approaches fared better. Just an example of how what you’re doing and where you’re doing it can have a dramatic impact on the relative efficiency of various techniques, here are the things I’ve tested in this brief series, with my summary of which technique to use in that case, and which to use as a 2nd or 3rd choice (for example, if you can’t implement CLR due to corporate policy or because you’re using Azure SQL Database, or you can’t use JSON or STRING_SPLIT() because you aren’t on SQL Server 2016 yet). Note that I didn’t go back and re-test the variable assignment and SELECT INTO scripts using TVPs – these tests were set up assuming you already had existing data in CSV format that would have to be broken up first anyway. Generally, if you can avoid it, don’t smoosh your sets into comma-separated strings in the first place, IMHO.

That’s a rather interesting result, given how poorly JSON fared in some of the previous tests.

Related Posts

Nested Loops, Hash, Or Merge: Which Is Best?

Grant Fritchey dodges the important questions: First response, also a joke, was the question at the title of this post: What is the preferred operator when joining tables: Hash Match, Nested Loops or Merge? While my immediate response to this question is, yes. Meaning, they’re all preferred, situationally. I decided to expand on that a […]

Read More

Parallelism Strategies For Grouping Operations

Itzik Ben-Gan continues his series on grouping data in SQL Server by looking at how these operations can go parallel: Besides needing to choose between various grouping and aggregation strategies (preordered Stream Aggregate, Sort + Stream Aggregate, Hash Aggregate), SQL Server also needs to choose whether to go with a serial or a parallel plan. […]

Read More

Categories

April 2016
MTWTFSS
« Mar May »
 123
45678910
11121314151617
18192021222324
252627282930