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    Ongoing observations by End Point Dev people

    Elasticsearch: Give me object!

    Miguel Alatorre

    By Miguel Alatorre
    April 30, 2013

    I’m currently working on a project where Elasticsearch is used to index copious amounts of data with sometimes deeply nested JSON. A recurring error I’ve experienced is caused by a field not conforming to the type listed in the mapping. Let’s reproduce it on a small scale.

    Assuming you have Elasticsearch installed, let’s create an index and mapping:

    $ curl -XPUT 'http://localhost:9200/test' -d '
    {
        "mappings": {
            "item": {
                "properties": {
                    "state": {
                        "properties": {
                            "name": {"type": "string"}
                        }
                    }
                }
            }
        }
    }
    '
    {"ok":true,"acknowledged":true}
    

    Since we’ve defined properties for the “state” field, Elasticsearch will automatically treat it as an object.* Let’s now add some documents:

    $ curl -XPUT 'http://localhost:9200/test/item/1' -d '
    {
        "state": {
            "name": "North Carolina"
        }
    }
    '
    {"ok":true,"_index":"test","_type":"item","_id":"1","_version":1}
    

    Success! Let’s now get into trouble:

    $ curl -XPUT 'http://localhost:9200/test/item/2' -d '
    {
        "state": "California"
    }
    '
    {"error":"MapperParsingException[object mapping for [state] tried to parse as object, but got EOF, has a concrete value been provided to it?]","status":400}
    

    The solution: check any non-objects in your data against your mapping schema and you’ll be sure to find a mismatch.

    One thing to note is that the explicit creation of the mapping is unnecessary since Elasticsearch creates it using the first added document. Try this:

    $ curl -XPUT 'http://localhost:9200/test2/item/1' -d '
    {
        "state": {
            "name": "North Carolina"
        }
    }
    '
    {"ok":true,"_index":"test2","_type":"item","_id":"1","_version":1}
    $ curl -XGET 'http://localhost:9200/test2/_mapping'
    {
        "test2": {
            "item": {
                "properties": {
                    "state": {
                        "dynamic":"true",
                        "properties": {
                            "name": {"type":"string"}
                        }
                    }
                }
            }
        }
    }
    

    So, this stays true to the statement: “Elasticsearch is schema-less, just toss it a typed JSON document and it will automatically index it.” You can throw your car keys at Elasticsearch and it will index, however, as noted above, just be sure to keep throwing nothing but car keys.

    *Anything with one or more nested key-value pairs is considered an object in Elasticsearch. For more on the object type, see here.

    elasticsearch json search


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