2015-08-06 11:24:29 -04:00
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[[ignore-malformed]]
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=== `ignore_malformed`
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Sometimes you don't have much control over the data that you receive. One
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user may send a `login` field that is a <<date,`date`>>, and another sends a
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`login` field that is an email address.
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Trying to index the wrong datatype into a field throws an exception by
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default, and rejects the whole document. The `ignore_malformed` parameter, if
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set to `true`, allows the exception to be ignored. The malformed field is not
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indexed, but other fields in the document are processed normally.
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For example:
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[source,js]
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--------------------------------------------------
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2019-01-22 09:13:52 -05:00
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PUT my_index
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2015-08-06 11:24:29 -04:00
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{
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"mappings": {
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2019-01-22 09:13:52 -05:00
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"properties": {
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"number_one": {
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"type": "integer",
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"ignore_malformed": true
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},
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"number_two": {
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"type": "integer"
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2015-08-06 11:24:29 -04:00
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}
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}
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}
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}
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2017-12-14 11:47:53 -05:00
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PUT my_index/_doc/1
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2015-08-06 11:24:29 -04:00
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{
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"text": "Some text value",
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"number_one": "foo" <1>
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}
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2017-12-14 11:47:53 -05:00
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PUT my_index/_doc/2
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2015-08-06 11:24:29 -04:00
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{
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"text": "Some text value",
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"number_two": "foo" <2>
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}
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--------------------------------------------------
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2016-05-09 09:42:23 -04:00
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// CONSOLE
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2017-09-14 15:24:03 -04:00
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// TEST[catch:bad_request]
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2016-04-29 10:42:03 -04:00
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<1> This document will have the `text` field indexed, but not the `number_one` field.
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<2> This document will be rejected because `number_two` does not allow malformed values.
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2015-08-06 11:24:29 -04:00
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2015-08-12 15:21:37 -04:00
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TIP: The `ignore_malformed` setting is allowed to have different settings for
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fields of the same name in the same index. Its value can be updated on
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existing fields using the <<indices-put-mapping,PUT mapping API>>.
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2015-08-06 11:24:29 -04:00
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[[ignore-malformed-setting]]
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==== Index-level default
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The `index.mapping.ignore_malformed` setting can be set on the index level to
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allow to ignore malformed content globally across all mapping types.
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[source,js]
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--------------------------------------------------
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2019-01-22 09:13:52 -05:00
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PUT my_index
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2015-08-06 11:24:29 -04:00
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{
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"settings": {
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"index.mapping.ignore_malformed": true <1>
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},
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"mappings": {
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2019-01-22 09:13:52 -05:00
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"properties": {
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"number_one": { <1>
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"type": "byte"
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},
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"number_two": {
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"type": "integer",
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"ignore_malformed": false <2>
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2015-08-06 11:24:29 -04:00
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}
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}
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}
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}
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--------------------------------------------------
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2016-05-09 09:42:23 -04:00
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// CONSOLE
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2015-08-06 11:24:29 -04:00
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<1> The `number_one` field inherits the index-level setting.
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<2> The `number_two` field overrides the index-level setting to turn off `ignore_malformed`.
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2018-05-02 04:47:02 -04:00
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==== Dealing with malformed fields
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Malformed fields are silently ignored at indexing time when `ignore_malformed`
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is turned on. Whenever possible it is recommended to keep the number of
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documents that have a malformed field contained, or queries on this field will
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become meaningless. Elasticsearch makes it easy to check how many documents
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have malformed fields by using `exist` or `term` queries on the special
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<<mapping-ignored-field,`_ignored`>> field.
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2019-04-30 10:19:09 -04:00
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[[json-object-limits]]
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2019-04-10 14:46:51 -04:00
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==== Limits for JSON Objects
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You can't use `ignore_malformed` with the following datatypes:
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* <<nested, Nested datatype>>
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* <<object, Object datatype>>
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* <<range, Range datatypes>>
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You also can't use `ignore_malformed` to ignore JSON objects submitted to fields
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of the wrong datatype. A JSON object is any data surrounded by curly brackets
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`"{}"` and includes data mapped to the nested, object, and range datatypes.
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If you submit a JSON object to an unsupported field, {es} will return an error
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and reject the entire document regardless of the `ignore_malformed` setting.
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