![]() > operator returns the value of the specified attribute in text format. When we use -> operator of JSONB, PostgreSQL can use B-tree or Hash index for processing the operations. ![]() On large data set this could be a bottleneck). Let us talk about indexes here because we use pagination a lot for fetching the results, where we end up fetching actual data within the offset and total count (Which is sequential in nature. With the use of indexes, we can improve performance.(This is the same for JSONB or normal query set as well). To improve query on large data set we have to define proper search criteria parameters in each search, we have to include many of needed properties in the query.What if we want to increase the performance on the large data set. So this will compromise all the use cases and select queries can run against them to see how it works.Īmong all the queries that were above this section haven’t used any indexes and performance is relatively good on 4M data. In order to check the feasibility, I have included plain string, boolean, numbers, Array of Strings, and a complex object. Below is how the data is saved for different countries and professions as well. There are few more additional details collected which are applicable for a country and also for a profession that they belong to. ![]() I have created a sample application that stored basic data of users like their name, contact_number, security_number, and country in normal RDBMS columns. Please find complete source code on the java front which has an auditing framework as well here. Data Saving and analysis of select queries Maximum size Postgres JsonB can support As per Postgres official documentation, the maximum size is 255 MB per document.
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