Therefore GIN index is only possible to search for that have a particular key or key-values. And jsonb_path_ops supports containment operator only. GIN JSONB operator classes Default operator class jsonb_ops supports existence operators( ?, ?&, ?| ) and containment operator( ). The GIN index can be used by the GIN JSONB operator class. PostgreSQL can use indexes for the text results as compare operands. > 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. It may take more disk space than plain JSON due to a larger table footprint, though not always.Slightly slower input (due to added conversion overhead).simpler schema designs (replacing entity-attribute-value (EAV) tables with JSONB columns, which can be queried, indexed, and joined, allowing for performance improvements up until 1000X!) Supports indexing (which can be a significant advantage, as we’ll see later).The data type JSON and JSONB, as defined by the PostgreSQL documentation, are almost identical the key difference is that JSON data is stored as an exact copy of the JSON input text, whereas JSONB stores data in a decomposed binary form that is, not as an ASCII/UTF-8 string, but as binary code.
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