![]() ![]() The jsonb_set function gives us that option. For instance, we saw that with updating JSON values, there’s no way of preventing the creating of the column if it does not exist. We have also considered some points to note while assigning values to JSON while using subscripting.ĭoes this mean that subscripting is fully replacing the old ways of accessing JSON data? Not necessarily. In this article, we have seen how JSON subscripting, which was added in Postgres v14, has made it easy to both access and update JSON. ![]() It is really exciting to see how JSON support has tremendously improved in Postgres over the years. However, null is appended until the index is reached. We also insert some test values into it: INSERT INTO In this post, we will use the JSONB type for all the examples: CREATE TABLE blogs ( Let us use some examples to explain this.Īssume that we have a table for blog posts with a data column stored in JSON. Postgres v14 allows you to access and manipulate JSON data in the conventional way. Now let’s consider the improvements to JSON that came with v14. In Postgres v12, JSONPath was added to improve the efficiency of query JSON data. Most people prefer to use JSONB instead of JSON in Postgres. JSONB also supports the indexing of the data. JSONB is stored in a decomposed binary format, which adds a little conversion overhead while storing it but is very efficient at manipulating and querying JSON. This is often referred to as the “better JSON” for good reasons. Postgres basically validated that the JSON to be stored is valid JSON and stored it as a text string.Ī major improvement came with the JSONB type, which was released in v9.4. ![]() While it was a very exciting development, its implementation was not perfect. JSON was first introduced in Postgres with its v9.2 release. This will help us to appreciate the improvements better. One of the most exciting releases is enhanced support for JSON, which will be the focus of this blog post.īefore we delve into these improvements, let’s get a good understanding of how JSON has been used in PostgreSQL. Some of these improvements include enhancements for heavy workload performance, improved support for distributed workload, and security enhancements. PostgreSQL v14 was recently released with some major improvements. I also love sharing what I know with others in simple and easy-to-understand articles. Sarah Chima Atuonwu Follow I am a Fullstack software developer that is passionate about building products that make lives better. ![]()
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