Toke Eskildsen created SOLR-13056:
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Summary: SortableTextField is trappy for faceting
Key: SOLR-13056
URL: https://issues.apache.org/jira/browse/SOLR-13056
Project: Solr
Issue Type: Bug
Security Level: Public (Default Security Level. Issues are Public)
Components: search
Affects Versions: 7.6
Reporter: Toke Eskildsen
Using {{SortableTextField}} for distributed faceting can lead to wrong results.
This can be demonstrated by installing the cloud-version of the
{{gettingstarted}} sample with
{{./solr -e cloud}}
using defaults all the way, except for {{shards}} which should be {{3}}. After
that a corpus can be indexed with
{{( echo '[' ; for J in $(seq 0 99); do ID=$((J)) ; echo
"\\{\"id\":\"$ID\",\"facet_t_sort\":\"a b $J\"},"; done ; echo
'\\{"id":"duplicate_1","facet_t_sort":"a
b"},\\{"id":"duplicate_2","facet_t_sort":"a b"}]' ) | curl -s -d @- -X POST -H
'Content-Type: application/json'
'http://localhost:8983/solr/gettingstarted/update?commit=true'}}
This will index 100 documents with a single-valued field {{facet_t_sort:"a b
X"}} where X is the document number + 2 documents with {{facet_t_sort:"a b"}}.
The call
{{curl
'http://localhost:8983/solr/gettingstarted/select?facet.field=facet_t_sort&facet.limit=5&facet=on&q=**:**&rows=0'}}
should return "a b" as the top facet term with count 2, but returns
{{{}}
{{ "responseHeader":{}}
{{ "zkConnected":true,}}
{{ "status":0,}}
{{ "QTime":13,}}
{{ "params":}}{{{ "facet.limit":"5", "q":"*:*", "facet.field":"facet_t_sort",
"rows":"0", "facet":"on"}}}{{},}}
{{ "response":}}{{{"numFound":102,"start":0,"maxScore":1.0,"docs":[] }}}{{,}}
{{ "facet_counts":{}}
{{ "facet_queries":{},}}
{{ "facet_fields":}}{{{}}
{{ "facet_t_sort":[ }}
{{ "a b",36, }}
{{ "a b 0",1, }}
{{ "a b 1",1, }}
{{ "a b 10",1, }}
{{ "a b 11",1]}}}{{,}}
{{ "facet_ranges":{},}}
{{ "facet_intervals":{},}}
{{ "facet_heatmaps":{} } }}}
The problem is the second phase of simple faceting, where the fine-counting
happens. In the first phase, "a b" is returned from 1 or 2 of the 3 shards. It
wins the popularity contest as there are 2 "a b"-terms and only 1 of all the
other terms. The 1 or 2 shards that did not deliver "a b" in the first phase
are then queried for the count for "a b", which happens in the form of a
{{facet_t_sort:"a b"}}-lookup. It seems that this lookup uses the analyzer
chain and thus matches _all_ the documents in that shard (approximately 102/3).
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