Convert JSON to Relational Rows and Columns When consuming APIs, you also need to take JSON responses and store them in relational tables.
Generating JSON is only half the challenge.
Tsql json query update#
All you need to do is update the SQL code.Īs a final benefit, the structure of the JSON functions closely matches the schema of the JSON document, which makes it easier to see if the query returns the format needed. It also decouples the application code from the database schema, making it easier for you to change table structures in the future. This reduces the amount of code you need to write. Returning the data as JSON saves you from having to map the columns to JSON fields within the application. Even if the data are spread across 10 tables, just add them to the join, and you can get everything in a single fetch. This SQL code builds the whole JSON document in one trip to the database. It must return department details and an array of the employees working in it. You’ve been tasked with producing an API. Convert JSON to relational rows and columns.You can use only a few lines of SQL to better manage JSON documents in your application. That’s terrible for a mobile app.Ī faster and easier way to handle JSON coming from service APIs is by using SQL.
Such custom code, unless super-carefully constructed by someone who knows how databases work, can also lead to many roundtrips to the database service, slowing the application to a crawl and potentially consuming excess bandwidth. Using custom-written code to map these elements in the application tier is tedious.
However, when consuming a service API, you have the opposite problem, that is, splitting a large (aka massive) JSON document into appropriate tables. This can make creating and consuming these APIs challenging because you may need to combine data from several tables to form a response. JSON documents can be large and contain values spread across tables in your relational database.
Over those past four decades, the relational model and the SQL language have proven over and over again to be ideal tools for working with large amounts of data. These databases also brought strong transaction guarantees, making it easier for developers to ensure correct results in multiuser environments.
Tsql json query manual#
Databases such as MySQL, Oracle Database, IBM DB2, Microsoft SQL Server and others became wildly successful in part because they saved developers and DBAs so much time compared to manual methods of dealing with duplicate, partial or missing records. Relational databases, and the SQL language that manipulates data inside them, were developed more than 40 years ago to solve data quality problems with the storage technologies of the day.
Tsql json query how to#
Let’s look at why that is and five examples of how to do it. What many people don’t know is that the best way to manage JSON is with a seemingly ancient tool: the SQL language. You can find him on Twitter, and on his blog, All Things SQL. Chris is a developer advocate for Oracle Database, where his job is to help you get the best out of it and have fun with SQL.
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