![]() You’ll notice that “ValOne” and “ValTwo” appear at the top of this SQL and that their values have been “filled down” all the rows. Here’s some JSON code we want to convert to SQL:Īnd here’s the resulting SQL after flattening the reversed JSON:ĬREATE TABLE object_with_list_of_objects ( `ValOne` VARCHAR(3) CHARACTER SET utf8, `ValTwo` VARCHAR(4) CHARACTER SET utf8, `ListThree_foo` INT, `ListThree_bar` INT) INSERT INTO object_with_list_of_objects VALUES ('baz','fizz',1,2) INSERT INTO object_with_list_of_objects VALUES ('baz','fizz',3,4) The most reliable method to convert JSON to SQL is to “flatten” the JSON data - this is what SQLizer does. Herein lies the problem: SQL is written in a “flat” structure so you need to somehow turn the hierarchical JSON data into a “flat” table with columns and rows. JSON files are built in a hierarchy with trees of “objects” within the data. Well, it isn’t as simple as writing and deploying this script. With open('strings.json') as json_data: d = json.load(json_data) print(d) It’s not that simple Here’s what the Python script looks like: You can convert JSON to SQL by writing a script in most programming languages. And while we won’t walk through the exact steps of creating a script, we’ve outlined some things you’ll need to watch out for if you do write your own script. How to convert JSON to SQL with your own scriptĪn advance warning: this is going to be a bit messy and complicated. But as promised, here’s a breakdown of building yourself a script. SQLizer is definitely the easier method of converting JSON files to SQL databases. Here’s a video showing the exact steps to convert JSON to SQL in 30 seconds: You’re nearly done - your SQL file will be ready in a few seconds. Step 1: Drag and drop your JSON file into SQLizer We’ll do the easy way first with SQLizer. ![]() Realistically, you have only two options: use a conversion tool like SQLizer or write some code and build yourself a script to do it for you. Conversion is usually tricky because JSON and SQL are written using different structures. If you want to convert JSON to SQL there’s no concrete or straightforward way of doing things.
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