The max length restriction is per token so its unlikely you'll see it
unless use not_analyzed fields. You can work around it by setting the
ignore_above option on the string type. That'll just throw away the token.

Nik
How does this MAX_LENGTH restriction impact on a custom_all field where we
may be copying data from different fields using some analyzer.
Is the MAX_LENGTH restriction also applicable on such custom_all field
which in turn implies that in such a case cumulative length is what matters.
amish

On Thursday, October 30, 2014 3:43:26 AM UTC-7, Rotem wrote:
>
> +1 on this question.
>
> If the error is generated because of a not_analyzed field, how is it
> possible to instruct ES to drop these values instead of failing the request?
>
>
> On Tuesday, July 1, 2014 10:22:54 PM UTC+3, Andrew Mehler wrote:
>>
>> For not analyzed fields, Is there a way of capturing the old behavior?
>> From what I can tell, you need to specify a tokenizer to have a token
>> filter.
>>
>> On Tuesday, June 3, 2014 12:18:37 PM UTC-4, Karel Minařík wrote:
>>>
>>> This is actually a change in Lucene -- previously, the long term was
>>> silently dropped, now it raises an exception, see Lucene ticket
>>> https://issues.apache.org/jira/browse/LUCENE-5710
>>>
>>> You might want to add a `length` filter to your analyzer (
>>> http://www.elasticsearch.org/guide/en/elasticsearch/
>>> reference/current/analysis-length-tokenfilter.html#
>>> analysis-length-tokenfilter).
>>>
>>> All in all, it hints at some strange data, because such "immense" term
>>> shouldn't probably be in the index in the first place.
>>>
>>> Karel
>>>
>>> On Thursday, May 29, 2014 10:47:37 PM UTC+2, Jeff Dupont wrote:
>>>>
>>>> We’re running into a peculiar issue when updating indexes with content
>>>> for the document.
>>>>
>>>>
>>>> "document contains at least one immense term in (whose utf8 encoding is
>>>> longer than the max length 32766), all of which were skipped. please
>>>> correct the analyzer to not produce such terms”
>>>>
>>>>
>>>> I’m hoping that there’s a simple fix or setting that can resolve this.
>>>>
>>>  --
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