JSON and Where Clauseīackendless Database supports the querying of the stored JSON data using a special format for addressing individual JSON elements. This section of the guide describes both of these capabilities. Additionally, you can retrieve elements of JSON as individual properties of the returned objects. The syntax can be used in “where clause” queries to retrieve database objects that contain JSON documents matching the query. To demonstrate, we’ll be using the REST Console in Backendless.Ī JSON query is a special syntax for referencing elements of stored JSON documents. This feature is available on all Backendless SDKs as well as REST API. We have made it possible to run queries against JSON data stored in your database. We have in-depth documentation on querying JSON, so we’ll keep this to a high-level overview. You can also use the REST console and SQL-driven search on the column. Once the JSON data is stored in the database, you can use the Database API to retrieve, update, and delete it just like any other data object. JSON objects will be stored in the new column in the form they are received from the client – objects, arrays, etc. Simply click on the schema editor and select the JSON data type. The first thing we’ll do is show you how easy it is to add a JSON-type data column to a table.
#Airtable database api json update#
We make it as easy as possible to update your Backendless database schema in our visual editor. All of our APIs and SDKs now support JSON data. You can read the JSON Data documentation for REST API here. In this article, we’ll dive a little deeper into the nuts and bolts of what you can do with this new feature. This new feature unlocks a world of possibilities by putting that data in your database in a way that’s queryable JSON support in Backendless Database is designed to help you meet that challenge. … Now add to that all the machine to machine and sensor data flowing out of the Internet of Things, and you start to understand the magnitude of the challenge. Unstructured data is somewhat renegade – things that exist just because they exist.Įxamples of unstructured data includes things like video, audio or image files, as well as log files, sensor or social media posts. It’s not in an ERP or CRM type data where you know what kind of data is in each cell, and how it relates to the rest of the data. Unstructured data is data that doesn’t fit in a spreadsheet with rows and columns. What is unstructured data? Here’s a great description from Western Digital:
With the introduction of JSON support, you are now able to store unstructured data in JSON format in your database. We also have data validators to help you ensure that only the proper data type is stored in a field. Previously, we primarily supported structured data to put it simply, structured data is data that matches up nicely with the columns in your database. Backendless Database now supports the JSON data type, a significant innovation that allows us to support both structured and unstructured data.īefore we get into the details of this new release, let’s discuss why the addition of JSON support is so significant.
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