sql vs json performance

If we examine both the data page and the index page we see something interesting: But our index page contains the parsed values for our “Make” column: Exactly right: our non-persisted computed column “Make” isn’t saved to the data page on the disk. What is this oddly shaped hinged device with indentations? 1) What’s the speed of transferring the xml as an already typed parameter? How To Roll-Back Data in a Temporal Table, Behind the Scenes of an Online Presentation, https://gist.github.com/bertwagner/f0645cf1b244af7d6bb75856db8744e0, https://gist.github.com/bertwagner/8e5e8b6ec977c1704355166f96ae3efa, SQL Server will beat out Json.NET every time. Would a collection of List’s in C# be more appropriate than a DataTable? These tests were incomplete however: most of the time, a developer’s app will have to do additional processing to get data into an XML format, while JSON data usually already exists in JSON format (assuming we have Javascript web app). Learn how your comment data is processed. Your code is not quite right. I have modified the tests to look at the first and last values from the documents. var queriedCars = JsonConvert.DeserializeObject(carsJSON).Where(x => x.Model == “Golf”).ToList(); Now, what if we add an index to our non-persisted computed column and then run DBCC IND again: You’ll now notice that in addition to data page 305088 (PageType = 1), we also have an index page 305096 (PageType = 2). There are a few differences between NoSQL and SQL databases. One more important thing to note about this specific test — if you add this data into a SQL table and add a computed column index, SQL Server will beat out Json.NET every time. With an index we will have first queries around 2 ms and subsequent ones around 0ms.

But people prefer to use SQL for more advance features and access for outside and pre-structured pre made … Here the results were more as expected. How plausible would a self-aware, conscious viral life-form be? The following runs of the same query without clearing the cache returns results much faster – each took around 220 miliseconds to complete: Just to sum up all the results for the different types of searches comparing the first execution after cache clean up and the following runs. You’ll see what I mean, keep reading! =============================, // Test #2 – Deserialize JSON and filter – 58ms. Should I mention in my statement of purpose that I did not attend lectures in my last two years of undergrad? Asking for help, clarification, or responding to other answers. 1 Like. It turns out that performance is pretty good with the standalone SQL Server JSON functions. var queriedCars = JsonConvert.DeserializeObject(carsJSON).Where(x => x.Model == “Golf”); long elapsedMillisecondsQuery = stopwatch.ElapsedMilliseconds; The two questions I had on the xml to sql server scenario: Improve INSERT-per-second performance of SQLite.

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