![]() IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE WEBSITE OR THE CONTENT. ALL RECOMENDATION AND TOTURIAL ARE NOT FOR PRODUCTION. THE WEBSITE AND IT'S CONTENT IS PROVIDED FOR PERSONAL USE "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. You can follow the blog using RSS application with the bellow link: In some cases I will update a blog and mention in the content but please keep this point in mind. the technologies changes and tutorials must be updated, but post in blog do not. By using SQL Server built-in functions and operators, you can do the following things with JSON text: Parse JSON text and read or modify values. If you are sure that the JSON output is valid, wrap it with the JSONQUERY function to promote it to properly formatted JSON, as shown in the following example. IMPORTANT! Since technologies are something "live" which is evolved in time, posts on blog are usually representing the information at the time the post was published. I hope that these posts are useful for you. Today most of the technical post I publish in public. All we are really doing is to use the OpenJSON () function to unwrap the JSON into a relational table that records each cell and its value, together with its column and row. ![]() Several years ago I decided to open it partially to the public. JSON can cope with it without any problem at all, but only because it is not, by default, a way of representing tabular data. ![]() This blog was originally created for internal use, for the sake of my clients. * Can be used in order to search for blogs by keywords The code for this exercise is available on GitHub.* Can be used in order to search for older blogs Entriesĭeploy Model Solutions with the Deployment (1) Equipped with these techniques, we can handle almost anything users throw at us and are still able to query data fast enough. Public DbSet WishlistEntries ", "Connected Home & Housewares").ToList() Įven though our application is far from complete we are in a good place. We’ve created a small EF Core project where DBContext looks something like this: class SHDbContext : DbContext Note that json servers is same as json serversservers. From here on we’ll be exploring ways to query the data Test Bench Placing them at the beginning improves the performance of the query, as it only does. Moving on to coding, let us focus on data retrieval and skip the API part for now – it’s a whole different can or worms and will distract us from our point. We can save heaps of time creating one simple data model and calling it a day. SQL Server has functions to work with JSON data – all we have to do is put it into a sufficiently big column. We could just lump it all together and chuck it into a schema-less data store like Cosmos DB or Mongo, but for the sake of argument we’ll imagine the client was adamant they needed a SQL Server because it’s a business decision they made a long time ago. ![]() And, probably, we should not care – perfect data model for frequently changing e-commerce websites would be hard to deduce and likely very painful to maintain. The catch is, we don’t know full list of attributes. That API will have to make sense of all different attributes each website provides and try store it in a way that makes querying as easy and efficient as possible. We may have a browser extension of some sort that would send information about an item we’re currently watching to an API. Our journey would likely start with a web browser. One realistic case study where this situation may pop up would be building a browser extension that helps capture and organise wish lists from various platforms such as Amazon or eBay. Now we need to bridge the gap and efficiently query it. We have seen a few projects where the client insists on using SQL Server, but their workload generates a bunch of semi-structured JSON data for us to store.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |