I have recently switched from Splunk to Elastic in a pursuit to explore 
open source platform for performing descriptive analytics on my log data.

Until now, based on a few elastic query tutorials, I found that the Elastic 
DSL is a bit less advanced in providing  nicely packaged features that are 
there in Splunk. With splunk, I can do a lot of things which are difficult 
or nearly impossible for me at the moment to replicate. I am using nearly 
20+ features from Splunk which are not there in Elastic. 

I am doing a feature-wise study to establish functional correspondence 
between the Splunk and Elastic, but I would appreciate if someone can help 
me out in replicating similar behavior. The features are:

1. Join - SQL like join
2. Pipe (I) - Feed subsearch output to next query
3. dedup - remove duplicate documents
4. eval - add new field in document in search-time
5. chart - a feature similar to stats
6. rex - a search-time field extractor.


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