Hi,
Made Of: tlog replicas + pull replicas
Writing: leader and tlog replicas
Loading: pull replica only
Solr version: 7.5
Number of shards: 1
Write throughput: 1 docs/minutes
Number of documents: 4,500,000
Size per document: about 4KB
During verification, the replay of the transaction log
We have faceting fields that have been defined as indexed=false,
stored=false and docValues=true
However we use a lot of subfacets using json facets and facet ranges
using facet.queries. We see that after every soft-commit our performance
worsens and performs ideal between commits
how is that
Pradeep,
First, some background on fuzzy term expansions:
1) A query for foobar~2 is really a query for (foobar OR foobar~1 OR
foobar~2)
2) Fuzzy term expansion will only take the first 50 terms found in the
index and drop the rest.
For implementation notes, see this comment -
Hi,
My company is looking at using the Learning to Rank. However, our main searches
do grouping. There is an old Jira from 2016 about how these don't work together.
https://issues.apache.org/jira/browse/SOLR-8776
It doesn't look like this has moved much since then. When will we be able to
Hi everyone,
Hoping to get your thoughts on a nasty GC issue we’ve been having after
upgrading our cluster to Solr 7. Our cluster is NOT Solr Cloud, but rather
one master node (handles all indexing) and four slave nodes replicating
from master (handles all search queries, round robin load
Hi everyone,
Hoping to get your thoughts on a nasty GC issue we’ve been having after
upgrading our cluster to Solr 7. Our cluster is NOT Solr Cloud, but rather
one master node (handles all indexing) and four slave nodes replicating
from master (handles all search queries, round robin load
