I recently inherited an ES instance and ensured I read an entire book on ES cover-to-cover before posting this, however I'm afraid I'm unable to get even simple examples to work.
I have an index on our staging environment which exhibits behavior where every document is returned no matter what - I have a similar index on our QA environment which works like I would expect it to. For example I am running the following query against http://staging:9200/people_alias/_search?explain:
{ "query" :
{ "filtered" :
{ "query" : { "match_all" : {} },
"filter" : { "term" : { "_id" : "34414405382" } } } } }
What I noticed on this staging environment is the score of every document is 1 and it is returning EVERY document in my index no matter what value I specify ...using ?explain I see the following:
_explanation: {
value: 1
description: ConstantScore(*:*), product of:
details: [
{
value: 1, description: boost
}, { value: 1, description: queryNorm } ] }
On my QA environment, which correctly returns only one record I observe for ?explain:
_explanation: {
value: 1
description: ConstantScore(cache(_uid:person#34414405382)), product of:
details: [ {
value: 1,
description: boost
}, {
value: 1,
description: queryNorm
}
]
}
The mappings are almost identical on both indices - the only difference is I removed the manual field-level boost values on some fields as I read field-level boosting is not recommended in favor of query-time boosting, however this should not affect the behavior of filtering on the document ID (right?)
Is there any clue I can glean from the differences in the explain output or should I post the index mappings? Are there any server-level settings I should consider checking? It doesn't matter what query I use on Staging, I can use match queries and exact match lookups on other fields and Staging just keeps returning every result with Score 1.0
I feel like I'm doing something very glaringly and obviously wrong on my Staging environment. Could someone please explain the presence of ConstantScore, boost and queryNorm? I thought from looking at examples in other literature I would see things like term frequency etc.
EDIT: I am issuing the query from Elastic Search Head plugin