Hi there,
I want to be able to provide a text search against a document that contains
a large number (10+ digits) but running into some automatic exponent
conversion issues with my mapping.
Scenario: User can submit a value of 1234567890 in a field and then wants
to be able to return that document by searching for the exact text
"1234567890".
In my current implementation, I'm storing the value in a double typed field
(since the field could contain floating point values) with a sub field that
copies the string value to another field with a custom analyser that splits
the number by decimal point:
"numberField": {
"type": "double",
"fields": {
"asText": {
"type": "string",
"copy_to": [
"all_numbers"
]
}
},
"all_numbers": {
"type": "string",
"analyzer": "number_analyzer"
}
So this means if the value is 31, then it's stored as 31.0 in numberField
and then in all_numbers as "31" and "0". So a text search against the
all_numbers field will return this document.
However, when the number value is very large, it seems the double
conversion to string is using exponents, e.g. 1234567890 becomes
1.23456789E9. This means what's stored in my all_numbers field is "1" and
"23456789E9" and so a text search of "1234567890" returns 0 hits.
At this point I'm just wondering whether my source document should contain
the value twice, once as a number and once as string and avoid needing to
do any custom analysis, however this does mean moving this logic to the
application layer when I'd rather Elastic could just handle it.
Any other suggestions on how I could get Elastic to store the value as I
desire?
FYI I have other custom analysers running on the _all field that means
searching that field doesn't return the 'number' either.
TIA
Craig
--
Please update your bookmarks! We have moved to https://discuss.elastic.co/
---
You received this message because you are subscribed to the Google Groups
"elasticsearch" group.
To unsubscribe from this group and stop receiving emails from it, send an email
to elasticsearch+unsubscr...@googlegroups.com.
To view this discussion on the web visit
https://groups.google.com/d/msgid/elasticsearch/1895aa0e-659f-425a-8ae4-9b8b69f9eea1%40googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
