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Last pushed: a year ago
Short Description
Analysis tool for funnel visualization with log from Elasticsearch
Full Description

Elastic Funnel

This is an analysis tool for funnel visualization with log from Elasticsearch. Even though we have Kibana can display log very well,
it can't fit our goal that to analyze series log with context.

Prerequisites

In order to run elastic_funnel, some works have to prepare.

  • You have to run your Elasticsearch first
  • Set the essential config file with your Elasticsearch environment

Install

Pandas is one of core requirements and it could take a few minutes to complete.

pip install elastic_funnel

Add Essential Config File

Add the argument file ~/.elastic_funnel to your home path, with

[elastic]
host = 127.0.0.1
port = 9200
index = user-behavior-*
query = action:state_change AND sessionid:* 

[fields]
timestamp = @timestamp
stage = state
identity = sessionid

Run for a Funnel

elastic_funnel --stages landingpage login searchpage --start 2016-03-25T00:00:00

You could get a visualization with ASCII characters looks like follows, the percentage means trend from one stage to the next one.

Funnel: landingpage --> login --> searchpage
###############################################################################
██████████████████████████████████████████████████  27          100.0%  landingpage
██████████████                                       8          29.6%   login
█                                                    1          12.5%   searchpage

Arguments

usage: elastic_funnel [-h] [--host HOST] [--port PORT] [--index INDEX]
                      --stages STAGES [STAGES ...] [--start START] [--end END]
                      [--add_query ADD_QUERY]

optional arguments:
  -h, --help            show this help message and exit
  --host HOST           Host of Elasticsearch
  --port PORT           Port of Elasticsearch
  --index INDEX         Index name of Elasticsearch, e.g., user-behavior-log-*
  --stages STAGES [STAGES ...]
                        Set a path of stages , e.g., index explore user
                        explore
  --start START         Start time of log, e.g., 2016-03-24T00:00:00
  --end END             End time of log, e.g., 2016-03-28T00:00:00
  --add_query ADD_QUERY
                        Additional query using syntax of Lucene, https://lucen
                        e.apache.org/core/2_9_4/queryparsersyntax.html. You
                        can narrow you search target by syntax, e.g.,
                        country:US

Quick Start with Docker

docker pull yuecen/elastic_funnel
docker run -it --rm -v ~/.elastic_funnel:/root/.elastic_funnel:ro yuecen/elastic_funnel elastic_funnel --stages landingpage login searchpage

Quick Start with Gunicorn and cRUL ( DEVELOPING... )

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yuecen
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