ayush571995 / Mongo-Load-Gen-Aggregation

This helps you generate a mongodb document , load it and generate load on it for aggregation operators

About

• This repo is a containerised application which allows you to connect to a mongodb via a spring boot application
• You can hit the mongodb with a specific aggregation query and get response
• Also, having additional capability to generate load and put the load
• This captures your metrics around the DB call and published on dashboard in grafana.

Run

• This is a dockerized application .

• All you need to do is get the mongodb url and update in the docker-compose file env variable.

  Note:- When adding the mongodb url make sure to add database name in the connection string in case it's not there.

• Also, you need to identify the aggregation query expression and update in the application params

• I have already put the example of toLower aggregation operator in docker-compose file. As ,a requirement in docker-compose every dollar-sign needs to be escaped using a $ sign

• You need to have the data in place for your collection so, put the required params in docker-compose for collectionName, opName, resultField, expression.

• In case you wish to generate the data have added a data-gen module. This is a UI based document generator and you can define custom document.

Data-Gen

• This runs as a python application based on streamlit on port 8501.
• It has support for uploading data as well.
• If you have a predefined Json data from mongoexport utility you can use section Upload Data
• Now , you can also specify the index template as a json. It takes in fields as

{"field" : <name of field to index on> ,"type": <ascending or descending> and "unique": <true or false>}

This is a structure of json you can write inside the json editor and click on generate document. You can find the full list of the allowed fields at value_generator.py

{
"name": "t_name",
"email: "t_email",
// generating array of emails
"listEmails: "t_array:10:t_email",
"phone": "t_phone",
.. etc
}

Complete List of fake data template supported

• name
• email
• address
• date
• int
• double
• bool
• latitude
• longitude
• unix_epoch
• array
• name
• phone
• city
• country
• pincode

To build the docker images

docker-compose build

To run

docker-compose up

* Once, started you can put load using locust . You need to go to localhost:8090 and provide the params for the load.
* Note:- For putting load on localhost you should use url : http://host.docker.internal:8080

## Metrics

* You can view metrics in grafa directly on localhost:3000
* This is your metrics around the round trip time for the application to make a call to the mongo and get the response.
* If you want e2e client side metrics you can use locust charts