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Hi,

here's my 2 cents. We've had few serious issues before deploy on
production.

1) deploying new server without Phoenix jar - make sure you have
properly configured tool for automatic server maintaining
2) inserting empty string (byte array) to Phoenix - cause to our use
case this has impact several hours later.
3) upgrading Phoenix - There was bug with priorities when evaluating
math expressions.

We are using micro service architecture with node.js. There are few libs
we are participation at[1-4].

Our use-case is very simple: aggregate data (sum, avg, ..) on region
server side. We aggregate time series data as client demand timerange.
Phoenix is very use full on this, thanks to parallel querying.

There are of course easy way, how to add own functionality - creating
build in functions. There [5] is old post, how to do that although
fundamentals are still same.

So there are one basic advice: Don't underestimate testing.

[1]
https://github.com/falsecz/byter#support-for-hbase-phoenix-v-300-data-types
[2] https://github.com/falsecz/node-phoenix-proxy
[3] https://github.com/falsecz/phoenix-proxy-server
[4] https://github.com/falsecz/node-hbase
[5]
http://phoenix-hbase.blogspot.cz/2013/04/how-to-add-your-own-built-in-function.html

- --
Vaclav Loffelmann
Software Architect
Socialbakers


On Thu, Jan 1, 2015 at 11:21 PM, Siddharth Ubale
<siddharth.ub...@syncoms.com> wrote:

> Hi Guys,
> 
> 
> 
> We are seriously thinking of phoenix in Production environment ,
however,
> we have no much data of how Phoenix is behaving in production.
> 
> Can anyone let us know if anyone is using Phoenix in Production and
> any challenges which they have experienced.
> 
> 
> 
> Thanks,
> 
> Siddharth Ubale,
> 
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> 
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