This JSON data is totally schema-less, so it makes it very important that you properly validate that it matches any expected structure, before inserting it into the database. This doesn’t necessarily mean you should. In Postgres, you can use JSON just like any other value, and it would be easy to set up a NoSQL like store for JSON blobs and just use that as your entire database. Here, we’re extracting the author from the data, and then using SQL’s DISTINCT operator to only return each author once. You can invoke the Custom Search JSON API using REST from JavaScript, using the callback query parameter and a callback function.
Initially it was made for JavaScript, but many other languages have libraries to handle it as well. If you’re using the client, you can read and write Postgres data just like you would any other value: import connect, The JSON (JavaScript Object Notation) is a general format to represent values and objects. This creates a table with a primary key called id that’s of type TEXT and a data column to store our JSON data. CREATE TABLE my_data ( id TEXT NOT NULL PRIMARY KEY, data JSONB NOT NULL ) Now that you’ve decided on JSONB as the format, you can create the table just like you normally would. I can’t imagine why you’d ever need the original whitespace. This should never be needed, if you want a “pretty” view of your JSON, you can just use JSON.stringify to pretttify it. The only reason you might ever want to store JSON is if you wanted to keep track of the whitespace in the original JSON serialisation. JSONB is just like JSON, except that it doesn’t store the actual string of JSON, instead it stores an efficient binary representation. The first step, when adding a JSON field to postgres is to decide between JSON and JSONB. You get JOINs, transactions, indexes etc. In addition to just throwing some JSON in a field, you can query it using all the usual SQL operations. What you may not realise though, is that Postgres supports JSON pretty much equally well. One of the things that made NoSQL databases like MongoDB so popular was how easy it is to just throw a blob of JSON in, when that’s what you needed.
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