Massive guide collection dating

Working with JSONB fields is certainly possible with the suite of standard table functions, but Massive also allows the dynamic creation and usage of dedicated document tables with a separate set of functions based on the relational data persistence and retrieval functionality.We can create a document table dynamically by calling document is exactly what we passed in, with the addition of an autogenerated primary key.Since Alice's username isn't changing, we don't need to include that in the object we're passing. But we don't have the object returned from The second object we passed defines query options; here, we're sorting the issues most recent first.However, it won't hurt anything if we do, so we could have simply modified the original Had we already had a test and specified its id, we'd have updated that record. There are many other options which affect query shape and results processing, and the options object can be used with many of the retrieval and persistence functions.

Eventually, we'll get there, but for now it's a SQL script in our application's will search by the primary key in the object and modify only those fields we include.The key is never stored in the document body itself, but is automatically unwrapped when you persist the document.Once the document table has been created, it's available just like any other table.is a data mapper for that goes all in on Postgre SQL and fully embraces the power and flexibility of the SQL language and relational metaphors.Providing minimal abstractions for the interfaces and tools you already use, its goal is to do just enough to make working with your data as easy and intuitive as possible, then get out of your way. It doesn't use models, it doesn't track state, and it doesn't limit you to a single entity-based metaphor for accessing and persisting data.

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