1 cannot be done as joins in nosql land are very difficult-to-impossible to
do natively.
2 there's no functionality around that at the moment.
3 should happen automatically, ES will not create a new document (event) if
it exists, so there must be some difference there.
4 you can update existing documents and add fields if you want. Just not
via Kibana.
5 there are lots of charts in Kibana what do you mean exactly.
6 Logstash does this but it's pre-search, there is nothing post search at
this time.

On 5 May 2015 at 18:53, Mohit Garg <[email protected]> wrote:

> 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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