3/27/2023 0 Comments Sql server json compare![]() ![]() Step 1 - Defining the Schemaįor the purposes of this tutorial, you will be building from a schema that defines the inventory of an online store that sells a variety of electronics. This tutorial was verified with MySQL v8.0.23, PHP v7.3.24, Composer v2.0.9, and Laravel v8.26.1. This may be an alternative option if you are having difficulty setting up your local environment. Note: Laravel now provides a tool called Sail to work with Docker that will configure an environment with MySQL, PHP, and Composer. You can consult our tutorial on installing Composer. This tutorial utilizes Laravel installation via Composer in mind.You can consult our tutorials on installing Linux, Apache, MySQL, and PHP MySQL 5.7.8 or later and PHP 7.3.24 or later. ![]() If you would like to follow along with this article, you will need: You will build an admin panel that supports displaying products, adding new products, modifying existing products, and deleting products. The second half of this article will utilize the Eloquent ORM with Laravel to communicate with the database. It will step through using the built-in functions available to MySQL to create, read, update, and delete rows. The first half of this article will design a database with JSON fields. It allows you to structure some parts of your database and leave others to be flexible. The JSON data type in MySQL grants you the strengths of both of these systems. In these schema-less databases, there is no imposed structural restriction, only data to be saved. In comparison, NoSQL databases encourage flexibility in design. By its nature, the structured query language enforces data type and size constraints. SQL databases tend to be rigid in design. JSON will be public soon so we will publish some use cases that describes when you should use it.MySQL version 5.7.8 introduces a JSON data type that allows you to access data in JSON documents. I’m working on JSON I know some use cases where it can help you and a lot of anti-patterns where you should avoid it but I think that what you descried here is not one of the anti-patterns. Otherwise you will need new XSLT/XQuery engine in SQL Server to optimize it, and in that case I agree that you should move that kind of processing outside of SQL Server. So if you keep JSON simple you will have simple queries, standard syntax, no additional cost, no problem with performance. However, if you just remove additional “order” and “item” keys you would get much simpler JSON, you can generate it with standard FOR JSON AUTO, and client can use simpler and intuitive path: If I’m referencing first order why should I use orders.order instead of orders? ![]() If you try to reference an item in JavaScript using your format you would need to use following path: Other question is what is typical JSON query and standard JSON format? JSON in your example adds some noise properties such as “order” and “item”. if you think that CLR is slow/not secure, FILESTREAMs/Service Brokers are complex, etc.) If you are already paying for SQL Server licence and you have almost no additional cost for feature X why not use it? ![]() I agree that if you have some operations that add to much cost, or don’t work fine you should move them out of SQL Server (e.g. Ok, maybe I didn’t understand you right, but when you say “JSON in SQL Server is too expensive” I assumed that you are talking about additional cost that it adds to the query. (for some reason I don’t have reply button at the end of the thread so I need to reply this way, sorry) ![]()
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