Re: upgrade a 48-node cluster with minimal downtime ?

[Colin Surprenant]

Hey! If I may chime in, you probably want to look into Ansible which offers 
very efficient and simple *automation* facilities which other 
*provisioning* tools like Chef & Puppet don't really have. I am not 
affiliated with Ansible, I just recently had a "ah-ah!" moment with it for 
exactly this kind of context. 

Have fun,
Colin

On Thursday, August 8, 2013 10:17:59 AM UTC-4, Jérôme Gagnon wrote:
>
> Tools can be as simple as parallel-ssh and (some) bash scripts.. that is 
> error-prone and kind of sketchy, but this is one of the simplest possible 
> solution..
>
> You should probably more safely use chef, puppet or any other automation 
> framework for more robustness and flexibility.
>
> Jerome
>
> On Thursday, August 8, 2013 10:00:04 AM UTC-4, Nikolas Everett wrote:
>>
>> On Thu, Aug 8, 2013 at 9:49 AM, Jérôme Gagnon wrote:
>>
>>> We made the upgrade for a 100+ nodes cluster with a ~3 minutes downtime, 
>>> wasn't that bad, you just have to be prepared and have the good tools.
>>
>>
>> It'd be really useful if you could explain some of your good tools!
>>
>> Nik
>>
>

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Re: how to search on number of nested terms matches?

[Colin Surprenant]

The number of categories is finite and relatively low count. As you are 
suggesting, querying for all combinations is an option as well as 
precomputing. I wanted to see if there was a way to do it efficiently at 
query time. 

Thanks,
Colin

On Wednesday, February 12, 2014 8:36:44 AM UTC-5, Binh Ly wrote:
>
> I can't think of a way this can be done at the moment (unless of course 
> the categories are finite and you can build a massive query using 
> combinations of them). However, you can always precompute the distinct 
> category count per author prior to indexing and then include it as an extra 
> field in the document and then filter it using say a range filter.
>

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how to search on number of nested terms matches?

[Colin Surprenant]

I am trying to figure if/how it is possible to craft a specific query using 
nested objects: 

For example, given a simple author with nested books mapping:

{
  "author":{
"properties" : {
  "name" : { "type" : "string" },
  "books" : {
"type" : "nested",
"properties" : {
  "title" : { "type" : "string" },
  "category" :  { "type" : "string", "index" : "not_analyzed" }
}
  }
}
  }
}

Is it possible to craft queries to answer these kind of questions:

1) - "how many authors wrote books in N specific categories" (ie how many 
wrote in both "travel" and "nonfiction")

2) - "how many authors wrote books in exactly N different categories" (ie 
how many wrote in 2 different categorites whichever they are)

3) - "how many authors wrote books in N or more different categories"

and more generally:

4) - "what is the distribution of authors that wrote books in only 1 
category, in exacly 2 different categories, ..., N different categories"

Given a query for 2) we could express 4) programmatically by iterating for 
1, 2, ..., N


For 1) this is working for me:

{
  "query" : {
"filtered" : {
  "query" : {
"match_all": {}
  },
  "filter" : {
"and" : [
  {
"nested" : {
  "path" : "books",
  "query" : {
"filtered" : {
  "filter" : {
"term" : {
  "books.category" : "travel"
}
  }
}
  }
}
  },
  {
"nested" : {
  "path" : "books",
  "query" : {
"filtered" : {
  "filter" : {
"term" : {
  "books.category" : "nonfiction"
}
  }
}
  }
}
  }
]
  }
}
  }  
}

Any ideas on how we could approach this for 2) 3) and 4) ?

Thanks,
Colin 

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