ElasticSearch equivalent to MongoDB .distinct(…)

Let’s say we have an ElasticSearch index called strings with a field pattern of {"type": "keyword"}.

Now we want to do the equivalent of MongoDB db.getCollection('...').distinct('pattern'):

Solution:

In Python you can use the iterate_distinct_field() helper from this previous post on ElasticSearch distinct. Full example:

from elasticsearch import Elasticsearch

es = Elasticsearch()

def iterate_distinct_field(es, fieldname, pagesize=250, **kwargs):
    """
    Helper to get all distinct values from ElasticSearch
    (ordered by number of occurrences)
    """
    compositeQuery = {
        "size": pagesize,
        "sources": [{
                fieldname: {
                    "terms": {
                        "field": fieldname
                    }
                }
            }
        ]
    }
    # Iterate over pages
    while True:
        result = es.search(**kwargs, body={
            "aggs": {
                "values": {
                    "composite": compositeQuery
                }
            }
        })
        # Yield each bucket
        for aggregation in result["aggregations"]["values"]["buckets"]:
            yield aggregation
        # Set "after" field
        if "after_key" in result:
            compositeQuery["after_key"] = result["after_key"]
        else: # Finished!
            break

# Usage example
for result in iterate_distinct_field(es, fieldname="pattern.keyword", index="strings"):
    print(result) # e.g. {'key': {'pattern': 'mypattern'}, 'doc_count': 315}