Range search - adding month and day make query results wrong

Elastic Stack Elasticsearch
1

this query works and shows results from 1771-01-07:

 curl -XGET 'localhost:9200/_search?pretty' -H 'Content-Type: application/json' -d' 
"query": {
        "range" : {
            "time_from" : {
                "gte" : "1771",
                "lt" : "1772",
                "format" : "yyyy"
            }
        }
    }'

but when I add MM-dd to the format, I get no results:

curl -XGET 'localhost:9200/_search?pretty' -H 'Content-Type: application/json' -d'  "query": {
        "range" : {
            "time_from" : {
                "gte" : "1771-01-01",
                "lt" : "1772-12-10",
                "format" : "yyyy-MM-dd"
            }
        }
   }'

same (no results) when I try this:

curl -XGET 'localhost:9200/_search?pretty' -H 'Content-Type: application/json' -d'
 "query": {
        "range" : {
            "time_from" : {
                "gte" : "1771-01",
                "lt" : "1772-12",
                "format" : "yyyy-MM"
            }
        }
    }'

This one however shows the 1771-01-07 result as expected (and it shows the date format seems to work but does not explain why searching from 1771-01-01 shows nothing):

curl -XGET 'localhost:9200/_search?pretty' -H 'Content-Type: application/json' -d'
 "query": {
        "range" : {
            "time_from" : {
                "gte" : "1770-01",
                "lt" : "1772-12",
                "format" : "yyyy-MM"
            }
        }
    }'

Edited question, added the following:

Model in Django:

class Text(models.Model):
    time_from = models.DateField(null=True, blank=True)

    def indexing(self):
        obj = TextIndexingNew(
            meta={'id': self.id},
            time_from=self.time_from,
        )
        obj.save(index='text-index')
        return obj.to_dict(include_meta=True)

DocType:

class TextIndexingNew(DocType):
    time_from = Text(fielddata=True)

Indexing method:

def bulk_indexing():
    TextIndexingNew.init(index='text-index')
        es = Elasticsearch()
        bulk(client=es, actions=(b.indexing()
        for b in models.Text.objects.all().iterator()))

Any idea what is going on?

2

Could you provide a full recreation script as described in About the Elasticsearch category. Specifically index creation, mapping and data indexed.

A full reproduction script will help readers to understand, reproduce and if needed fix your problem. It will also most likely help to get a faster answer.

1 Like
3

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