![]() You can think of it as a form of lazy or eager evaluation when all the customer’s records are in the running state of being evaluated by the above statement, the SELECT orders statement will also get executed in parallel during this evaluation.Īt each customer JSON object level, when customer orders have been successfully queried, we want the same results to be converted back into a JSON array of results so we utilize array_to_json method that simply does that, and gave its property name as orders. ![]() What’s going on here is that in the inner SELECT orders statement we utilize the array_agg to aggregate the SQL results of the customer orders table, which is predetermined by looking at the most current iteratee customer.id that’s supplied by outer SELECT customers statement. ![]() */ SELECT row_to_json(jt) FROM( SELECT customer.id, customer.first_name, customer.last_name, customer.dob FROM customer) jt ![]() We use row_to_json() method /* Now let’s throw in some JSON magic here. Now, we decided we can make this into JSON object results. */ SELECT customer.id, customer.first_name, customer.last_name, customer.dob FROM customer Īs we know, with the above statement, our web app or mobile app or similar will expect a table and to make an appropriate decision on how to handle the purpose of the data. * Some simple table query we’re running. Let’s say you’re working with Postgres DB using the following query. It simply means instead of running a SQL statement that traditionally returns a resultset in a table format and you had to make some translation of such database for the web app to make sense of the data upon its return, you convert the same resultset into a JSON payload result! Knowing such basic skills allows you to work with disparate industry-standard relational database technologies such as MySQL, MS SQL, Oracle DB, Postgres, and many more.īut what I discovered, recently of late, there’s a new tool that has been slowly introduced to these relational database technologies crowd all the while.įor the first time, you can now create and generate JSONified results from SQL statements. So what better way to work with them is to know plenty of SQL statements such as SELECT, GROUP BY, FROM, WHERE etc, which is paramount without question. In fact, every full stack developer will tell and share you their stories and trivialities of working with database intimately every day. The following example shows a JSON representation describing a person.I’ve been doing relational databases for a long time now, especially when you’re dealing with making data-rich web applications. JavaScript Object Notation( JSON) is a lightweight format for storing and exchanging data. Today, it has become the de facto computer format readable by humans to store structured data. JSON was specified by Douglas Crockford in the early 2000s. It was built to expand the web, and along with javascript, different extensions came into the picture called JSON. Now it has become one of the important programming languages of today’s tech world. The rise of the web has taken JavaScript to the places it has never conceived to be. Also, explore some of the online tools to validate, parse, format, and more. Let’s talk about JSON, its importance, and the operations associated with JSON.
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