

Take for example the data returned for an Instagram photo. Parameterized Reports - Another way to create dynamic reports is to use Parameters. Setting an interactive sort is as easy as setting the Sort Expression property in ActiveReports. Sorting - Sorting is a basic interactive feature most useful with tabular reports. The schema should be parameterized and controlled elsewhere in the script, with a command. Add another layer of efficacy by passing parameters to filter the child report. Query classes therefore relate to the resource type contained in the response document.For relationship responses, this is often a different resource type to the resource that is subject of the request. Query the Database with Advanced SELECT Features (Jon Heller). One of the most useful cases I've found for using JSON columns is for storing extra metadata from an external service-like if your app auths users with Github or Instagram. The query parameters sent by a client affect the response it receives. Working with either type programatically is practically the same, so choose whichever type makes sense for your situation. Also, users tend not to notice if posting their photo takes a little bit longer, but they will definitely notice a slow loading feed-so the majority of the time I tend to use jsonb over json to get that fast-read bonus. JSON data is processed when the http header ContentType is application/json or text/json. The conversion from a http request string sent by client to another type is referred to as data binding. As a general rule your app will read more often than it writes. Revel tries to make the conversion of request data into the desired Go types as easy and painless as possible. My tl dr from that paragraph is json is faster at writing, but jsonb is faster at reading ("significantly"-according to the docs). jsonb also supports indexing, which can be a significant advantage." "The json data type stores an exact copy of the input text, which processing functions must reparse on each execution while jsonb data is stored in a decomposed binary format that makes it slightly slower to input due to added conversion overhead, but significantly faster to process, since no reparsing is needed. Here are some tips for debugging multi-statement.

There are some slight differences in how the columns store the data (regarding things like how it treats whitespace), but here is a description from the Postgres docs themselves: list, passing in the multi-statement query job ID as the parentJobId parameter. Postgres supports two different types of JSON columns: json and jsonb. We're assuming you are using Postgres 9.3+, which has excellent function support for JSON columns. In this post we'll look at how easy it is to query JSON columns in conjunction with ActiveRecord. They make things that I initially thought would be complicated so so easy (and fun!). If you've been following me on Twitter recently, you might have noticed that I have been singing the praises of Postgres' support for JSON columns. Learn the different properties that you can set for a JSON provider in a Section report such as data path, HTTP headers, HTTP method, and request body.
