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« Completion field type Date nanoseconds field type »

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Date field type

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Date field type

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JSON doesn’t have a date data type, so dates in Elasticsearch can either be:

strings containing formatted dates, e.g. "2015-01-01" or "2015/01/01 12:10:30".
a number representing milliseconds-since-the-epoch.
a number representing seconds-since-the-epoch (configuration).

Internally, dates are converted to UTC (if the time-zone is specified) and stored as a long number representing milliseconds-since-the-epoch.

Use the date_nanos field type if a nanosecond resolution is expected.

Queries on dates are internally converted to range queries on this long representation, and the result of aggregations and stored fields is converted back to a string depending on the date format that is associated with the field.

Dates will always be rendered as strings, even if they were initially supplied as a long in the JSON document.

Date formats can be customised, but if no format is specified then it uses the default:

    "strict_date_optional_time||epoch_millis"

This means that it will accept dates with optional timestamps, which conform to the formats supported by strict_date_optional_time or milliseconds-since-the-epoch.

For instance:

resp = client.indices.create(
    index="my-index-000001",
    mappings={
        "properties": {
            "date": {
                "type": "date"
            }
        }
    },
)
print(resp)

resp1 = client.index(
    index="my-index-000001",
    id="1",
    document={
        "date": "2015-01-01"
    },
)
print(resp1)

resp2 = client.index(
    index="my-index-000001",
    id="2",
    document={
        "date": "2015-01-01T12:10:30Z"
    },
)
print(resp2)

resp3 = client.index(
    index="my-index-000001",
    id="3",
    document={
        "date": 1420070400001
    },
)
print(resp3)

resp4 = client.search(
    index="my-index-000001",
    sort={
        "date": "asc"
    },
)
print(resp4)

response = client.indices.create(
  index: 'my-index-000001',
  body: {
    mappings: {
      properties: {
        date: {
          type: 'date'
        }
      }
    }
  }
)
puts response

response = client.index(
  index: 'my-index-000001',
  id: 1,
  body: {
    date: '2015-01-01'
  }
)
puts response

response = client.index(
  index: 'my-index-000001',
  id: 2,
  body: {
    date: '2015-01-01T12:10:30Z'
  }
)
puts response

response = client.index(
  index: 'my-index-000001',
  id: 3,
  body: {
    date: 1_420_070_400_001
  }
)
puts response

response = client.search(
  index: 'my-index-000001',
  body: {
    sort: {
      date: 'asc'
    }
  }
)
puts response

{
	res, err := es.Indices.Create(
		"my-index-000001",
		es.Indices.Create.WithBody(strings.NewReader(`{
	  "mappings": {
	    "properties": {
	      "date": {
	        "type": "date"
	      }
	    }
	  }
	}`)),
	)
	fmt.Println(res, err)
}

{
	res, err := es.Index(
		"my-index-000001",
		strings.NewReader(`{
	  "date": "2015-01-01"
	} `),
		es.Index.WithDocumentID("1"),
		es.Index.WithPretty(),
	)
	fmt.Println(res, err)
}

{
	res, err := es.Index(
		"my-index-000001",
		strings.NewReader(`{
	  "date": "2015-01-01T12:10:30Z"
	} `),
		es.Index.WithDocumentID("2"),
		es.Index.WithPretty(),
	)
	fmt.Println(res, err)
}

{
	res, err := es.Index(
		"my-index-000001",
		strings.NewReader(`{
	  "date": 1420070400001
	} `),
		es.Index.WithDocumentID("3"),
		es.Index.WithPretty(),
	)
	fmt.Println(res, err)
}

{
	res, err := es.Search(
		es.Search.WithIndex("my-index-000001"),
		es.Search.WithBody(strings.NewReader(`{
	  "sort": {
	    "date": "asc"
	  }
	}`)),
		es.Search.WithPretty(),
	)
	fmt.Println(res, err)
}

const response = await client.indices.create({
  index: "my-index-000001",
  mappings: {
    properties: {
      date: {
        type: "date",
      },
    },
  },
});
console.log(response);

const response1 = await client.index({
  index: "my-index-000001",
  id: 1,
  document: {
    date: "2015-01-01",
  },
});
console.log(response1);

const response2 = await client.index({
  index: "my-index-000001",
  id: 2,
  document: {
    date: "2015-01-01T12:10:30Z",
  },
});
console.log(response2);

const response3 = await client.index({
  index: "my-index-000001",
  id: 3,
  document: {
    date: 1420070400001,
  },
});
console.log(response3);

const response4 = await client.search({
  index: "my-index-000001",
  sort: {
    date: "asc",
  },
});
console.log(response4);

PUT my-index-000001
{
  "mappings": {
    "properties": {
      "date": {
        "type": "date" 
      }
    }
  }
}

PUT my-index-000001/_doc/1
{ "date": "2015-01-01" } 

PUT my-index-000001/_doc/2
{ "date": "2015-01-01T12:10:30Z" } 

PUT my-index-000001/_doc/3
{ "date": 1420070400001 } 

GET my-index-000001/_search
{
  "sort": { "date": "asc"} 
}

	The `date` field uses the default `format`.
	This document uses a plain date.
	This document includes a time.
	This document uses milliseconds-since-the-epoch.
	Note that the `sort` values that are returned are all in milliseconds-since-the-epoch.

Dates will accept numbers with a decimal point like {"date": 1618249875.123456} but there are some cases (#70085) where we’ll lose precision on those dates so they should be avoided.

The text strings accepted by textual date formats, and calculations for week-dates, depend on the JDK version that Elasticsearch is running on. For more information see custom date formats.

Multiple date formats

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Multiple formats can be specified by separating them with || as a separator. Each format will be tried in turn until a matching format is found. The first format will be used to convert the milliseconds-since-the-epoch value back into a string.

resp = client.indices.create(
    index="my-index-000001",
    mappings={
        "properties": {
            "date": {
                "type": "date",
                "format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"
            }
        }
    },
)
print(resp)

response = client.indices.create(
  index: 'my-index-000001',
  body: {
    mappings: {
      properties: {
        date: {
          type: 'date',
          format: 'yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis'
        }
      }
    }
  }
)
puts response

res, err := es.Indices.Create(
	"my-index-000001",
	es.Indices.Create.WithBody(strings.NewReader(`{
	  "mappings": {
	    "properties": {
	      "date": {
	        "type": "date",
	        "format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"
	      }
	    }
	  }
	}`)),
)
fmt.Println(res, err)

const response = await client.indices.create({
  index: "my-index-000001",
  mappings: {
    properties: {
      date: {
        type: "date",
        format: "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis",
      },
    },
  },
});
console.log(response);

PUT my-index-000001
{
  "mappings": {
    "properties": {
      "date": {
        "type":   "date",
        "format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"
      }
    }
  }
}

Parameters for `date` fields

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The following parameters are accepted by date fields:

`doc_values`	Should the field be stored on disk in a column-stride fashion, so that it can later be used for sorting, aggregations, or scripting? Accepts `true` (default) or `false`.
`format`	The date format(s) that can be parsed. Defaults to `strict_date_optional_time\|\|epoch_millis`.
`locale`	The locale to use when parsing dates since months do not have the same names and/or abbreviations in all languages. The default is ENGLISH.
`ignore_malformed`	If `true`, malformed numbers are ignored. If `false` (default), malformed numbers throw an exception and reject the whole document. Note that this cannot be set if the `script` parameter is used.
`index`	Should the field be quickly searchable? Accepts `true` (default) and `false`. Date fields that only have `doc_values` enabled can also be queried, albeit slower.
`null_value`	Accepts a date value in one of the configured `format`'s as the field which is substituted for any explicit `null` values. Defaults to `null`, which means the field is treated as missing. Note that this cannot be set of the `script` parameter is used.
`on_script_error`	Defines what to do if the script defined by the `script` parameter throws an error at indexing time. Accepts `fail` (default), which will cause the entire document to be rejected, and `continue`, which will register the field in the document’s `_ignored` metadata field and continue indexing. This parameter can only be set if the `script` field is also set.
`script`	If this parameter is set, then the field will index values generated by this script, rather than reading the values directly from the source. If a value is set for this field on the input document, then the document will be rejected with an error. Scripts are in the same format as their runtime equivalent, and should emit long-valued timestamps.
`store`	Whether the field value should be stored and retrievable separately from the `_source` field. Accepts `true` or `false` (default).
`meta`	Metadata about the field.

Epoch seconds

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If you need to send dates as seconds-since-the-epoch then make sure the format lists epoch_second:

resp = client.indices.create(
    index="my-index-000001",
    mappings={
        "properties": {
            "date": {
                "type": "date",
                "format": "strict_date_optional_time||epoch_second"
            }
        }
    },
)
print(resp)

resp1 = client.index(
    index="my-index-000001",
    id="example",
    refresh=True,
    document={
        "date": 1618321898
    },
)
print(resp1)

resp2 = client.search(
    index="my-index-000001",
    fields=[
        {
            "field": "date"
        }
    ],
    source=False,
)
print(resp2)

response = client.indices.create(
  index: 'my-index-000001',
  body: {
    mappings: {
      properties: {
        date: {
          type: 'date',
          format: 'strict_date_optional_time||epoch_second'
        }
      }
    }
  }
)
puts response

response = client.index(
  index: 'my-index-000001',
  id: 'example',
  refresh: true,
  body: {
    date: 1_618_321_898
  }
)
puts response

response = client.search(
  index: 'my-index-000001',
  body: {
    fields: [
      {
        field: 'date'
      }
    ],
    _source: false
  }
)
puts response

const response = await client.indices.create({
  index: "my-index-000001",
  mappings: {
    properties: {
      date: {
        type: "date",
        format: "strict_date_optional_time||epoch_second",
      },
    },
  },
});
console.log(response);

const response1 = await client.index({
  index: "my-index-000001",
  id: "example",
  refresh: "true",
  document: {
    date: 1618321898,
  },
});
console.log(response1);

const response2 = await client.search({
  index: "my-index-000001",
  fields: [
    {
      field: "date",
    },
  ],
  _source: false,
});
console.log(response2);

PUT my-index-000001
{
  "mappings": {
    "properties": {
      "date": {
        "type":   "date",
        "format": "strict_date_optional_time||epoch_second"
      }
    }
  }
}

PUT my-index-000001/_doc/example?refresh
{ "date": 1618321898 }

POST my-index-000001/_search
{
  "fields": [ {"field": "date"}],
  "_source": false
}

Which will reply with a date like:

{
  "hits": {
    "hits": [
      {
        "_id": "example",
        "_index": "my-index-000001",
        "_score": 1.0,
        "fields": {
          "date": ["2021-04-13T13:51:38.000Z"]
        }
      }
    ]
  }
}

Synthetic `_source`

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Synthetic _source is Generally Available only for TSDB indices (indices that have index.mode set to time_series). For other indices synthetic _source is in technical preview. Features in technical preview may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.

Synthetic source may sort date field values. For example:

resp = client.indices.create(
    index="idx",
    settings={
        "index": {
            "mapping": {
                "source": {
                    "mode": "synthetic"
                }
            }
        }
    },
    mappings={
        "properties": {
            "date": {
                "type": "date"
            }
        }
    },
)
print(resp)

resp1 = client.index(
    index="idx",
    id="1",
    document={
        "date": [
            "2015-01-01T12:10:30Z",
            "2014-01-01T12:10:30Z"
        ]
    },
)
print(resp1)

const response = await client.indices.create({
  index: "idx",
  settings: {
    index: {
      mapping: {
        source: {
          mode: "synthetic",
        },
      },
    },
  },
  mappings: {
    properties: {
      date: {
        type: "date",
      },
    },
  },
});
console.log(response);

const response1 = await client.index({
  index: "idx",
  id: 1,
  document: {
    date: ["2015-01-01T12:10:30Z", "2014-01-01T12:10:30Z"],
  },
});
console.log(response1);

PUT idx
{
  "settings": {
    "index": {
      "mapping": {
        "source": {
          "mode": "synthetic"
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "date": { "type": "date" }
    }
  }
}
PUT idx/_doc/1
{
  "date": ["2015-01-01T12:10:30Z", "2014-01-01T12:10:30Z"]
}

Will become:

{
  "date": ["2014-01-01T12:10:30.000Z", "2015-01-01T12:10:30.000Z"]
}

« Completion field type Date nanoseconds field type »

Date field type

Date field type

Multiple date formats

Parameters for date fields

Epoch seconds

Synthetic _source

Parameters for `date` fields

Synthetic `_source`