![]() You might start to see text like this in your SQL SELECT statements – $.attribute What if our JSON is a bit more complicated? is json FORMAT OSON See the JSON Developer's Guide for more info. Use this variation of the IS JSON check constraint. 19c Autonomous instance allow you to get more optimized binary storage format which is FASTER. IF you’re on Autonomous you can get closer to native JSON storage. Or optionally if you’re on 21c or higher version of the database, use the native JSON data type. One, you tell it is with a CHECK constraint (IS JSON) on the column. The database can know this in several different ways. We can use this when the database knows our data is JSON. ‘Simple DOT notation’ in a table has generally been things like ‘TABLE.COLUMN’, so if we had a very simple JSON value stored in our column, we could query it out like so – This is the simplest example of ‘simple DOT notation.’ We’re going to combine this powerhouse of a function with what Beda and the JSON team refer to as ‘simple DOT notation.’ Given one input (JSON data ) JSON_TABLE can give us multiple outputs (rows). The JSON function/feature we are going to use in our SQL for this use case of ‘1 big JSON doc but I want many, many rows of output’ is JSON_TABLE. Yes, of course it would be! And I’m going to help Chris figure out the SQL to get some nice Medium stats from his blog posts. Wouldn’t it be nice if we could use SQL to grab “views”? TIP: BLOBs are faster than VARCHAR2 and CLOB storage options for JSON documents. Click on the eyeball, we’ll show you your JSON doc. When querying the table back, you can use this “Trick. Wait, how did I populate the table to begin with? I used SQL Developer Web’s TABLE viewer to do that – Except instead of uploading a picture, I upload a JSON file. So if I were to store this in a table, it might look like this: My doc has multiple ‘records’ in it – each item in the array can be thought of as a record. It’s a JSON Document that contains an array of more JSON. He’s figure out how to pull it down, and put it back up into his Always Free Oracle Database. Here’s some data one of our ORDS product manager’s scraped from his Medium blog stats. And by second, I mean a few hours! This post took a bit longer than normal, but it was worth every moment! I wanted to take a second to share what I’ve learned and used to crunch some data here lately. And I’ve learned a ton about how to use that from folks like Beda and Josh. Our Oracle Database has been adding built-in JSON functions and interfaces since the 12.1 release. JSON and SQL, easy with Oracle since at least 2015 ![]() You know what else is popular? Yeah, SQL – 45+ years old and still learning new tricks! Full Story at IEEE Spectrum. Note: yes, I know CSV and XML are super popular, especially if you are in 2005. Is this a made-up stat? Yes, but I also challenge you to prove me wrong. If you have data, there’s a 87% chance it will be stored as a JSON Document. ![]() JSON and SQL are both super popular AND relevant in 2022.
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