#Ruby json compare update#
#Ruby json compare portable#
#Ruby json compare code#

To evaluate the results, a script was used in order to measure how long it takes to render each article to JSON and also how much memory is allocated during the rendering process.

post3 - article with approximately 10 million characters and 5 thousand comments, each with more than 10 thousands characters.

post2 - article with approximately 1 million characters and 200 comments, each with more than a thousand characters.

post1- article with approximately a thousand characters and 10 simple comments.

In this analysis, the Ruby object to be rendered represents an Article ( post) with multiple Comments. And a less conventional approach that has been evaluated consists of building a Hash from a Ruby object followed by the direct conversion of that Hash to JSON. The most popular JSON renderer in Ruby is JBuilder. Rendering a JSON typically involves interpreting conversion rules (in a template) of an input Ruby object to an output JSON. No library presented significantly differences in memory allocation. In all scenarios, the Oj library had the best performance in terms of time to convert a Hash to a JSON.

To evaluate the results, a script was used in order to measure how long it takes to convert a Hash to a JSON and also how much memory is allocated during the conversion process.

hash3 - a thousand keys, вЂњtreeвЂќ with up to 10 nesting levels, values with type hash1 and hash2.

I suppose this is the most common Hash in typical Rails applications.

hash2 - reasonable number of keys, вЂњtreesвЂќ with up to 3 nesting levels, values of Array of Hashes type, value with long String (simulating the contents of a file, for example).

hash1- very simple with few keys and basic types.

The conversion of 3 types of Hash objects will be evaluated: It offers a common interface to the JSON transformation libraries. In order to make this analysis easier, the gem MultiJSON will be used.

JSON (Extension in C used by default in Ruby).

=> 2702567.The first performance analysis will compare some supposedly efficient libraries that allow you to convert a Ruby Hash to a JSON: #I am simply using it to change an empty string value into a nil for this example #Use this section to do what you need to the key or value #Join each array element and eval to a has object Those not familiar with using the new script file ruby

#Ruby json compare code#

I shared the code on so you can test it out for your needs.

#Ruby json compare update#

Be forewarned I am not a coder and I am sure improvements can be made but if it saves you some time then mission accomplished! Also, it isn't going to flatten your array objects but should be easy enough to update the code to accommodate the need.

#Ruby json compare portable#

After researching solutions on the interwebs I was able to put together a nicely portable ruby filter and wanted to share. There is a JSON filter, but it is very basic and doesn't handle nested objects very well. incident, change) record as possible so we needed to find a way to flatten those json objects into the parent document as well as have the ability to manipulate the data prior. Our model has us denormalizing as much data into the parent (i.e. Anyway, one or our use cases requires pulling working logs from our tickets that contain JSON objects. Because of the dynamic nature of the data, the ruby filter has become our friend, as developing standalone plugins has too much overhead for the team and it just works so dang well. tickets are pushed through our pipelines where we perform extensive ETL to help speed things up on the reporting end. All our Incident, Change, Problem, Knowledge, etc. Things started out simple enough with log file data, but we are at a point where our primary use case is centered around Business Intelligence. We use Logstash extensively within my team as our ETL engine.