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Elasticsearch: Min and Max Children Query with Nested Datatypes

Elasticsearch does not support min_children and max_children for nested datatypes by default (see: issue #10043). In case you need this behavior, this gist provides an alternative solution. Please note that I haven't benchmarked it against join queries.

Alternative solution

To support min_children and max_children for your nested query, all you have to do is to use a function_score query. To make this more concrete: you have an index called Person with the following mapping:

• first_name (text)
• email (text)

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from datetime import datetime
from datetime import timezone


def now_utc_timestamp():
    """Create a utc timestamp.
    
    Args:
        timestamp (int): the current timestamp, optional.

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 /**
  * @param {...*} var_args
  * @return {*}
  */
var url = function(var_args) {};

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import boto.swf.layer2 as swf

from garcon import activity
from garcon import runner
from garcon import task
import random


domain = 'dev'
name = 'country_flow'

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import boto.swf.layer2 as swf
 
from garcon import activity
from garcon import runner
from garcon import task
 
domain = 'dev'
name = 'context_example'
create = activity.create(domain, name)
 

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test_activity_3 = create(
    name='activity_3',
    retry=10,
    requires=[test_activity_1],
    run=runner.Sync(activity_failure))

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Tutorial code copied from the Boto tutorial.

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from garcon import activity
from garcon import runner


domain = 'dev'
name = 'boto_tutorial'
create = activity.create(domain, name)

a_tasks = create(
    name='a_tasks',

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/** 
 * Automated inclusion of services with Fluxible
 * 
 * The services are used on the server side as a resource. They fetch
 * an endpoint and return the data. Right now for each resource, you
 * need to manually include the file. 
 * 
 * The code sample needs to be placed in the /services/ directory of
 * your application - and be named index.js. To register all your
 * services, all you have to do: