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Posted to dev@lucene.apache.org by "Kannan Ranganathan (JIRA)" <ji...@apache.org> on 2018/05/04 17:45:00 UTC
[jira] [Created] (SOLR-12311) Suggester is not getting built on all
replicas when "suggest.build=true" is issued
Kannan Ranganathan created SOLR-12311:
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Summary: Suggester is not getting built on all replicas when "suggest.build=true" is issued
Key: SOLR-12311
URL: https://issues.apache.org/jira/browse/SOLR-12311
Project: Solr
Issue Type: Bug
Security Level: Public (Default Security Level. Issues are Public)
Components: Suggester
Affects Versions: 7.3
Reporter: Kannan Ranganathan
The suggester dictionary is not getting built in all the replicas when a "suggest.build=true" is issued. It is getting built only on the replica that the first "suggest.build=true" query hits. Further queries that use the suggest component get only partial suggest results when the replicas where the dictionary is not built are hit.
This can be reproduced with the sample "techproducts" collection,
# Create the "techproducts" collection with 2 shards and 2 replicas.
# The default suggest component "mySuggester" has "buildOnStartup"=false
# Send in this query to build the suggester and query it, "http://localhost:8983/solr/techproducts/suggest?suggest.build=true&suggest.dictionary=mySuggester&suggest.q=elec" . You will see 4 suggestions.
# Hit this query, without the "suggest.build=true" parameter multiple times and sometimes you will see 4 suggestions and in other times only 2 suggestions "http://localhost:8983/solr/techproducts/suggest?suggest.dictionary=mySuggester&suggest.q=elec"
# When the above query in Step 4 is sent with "distrib=false" to each of the replicas, we can see that some replicas does not return any results.
# When the logs are analyzed, we can see that the first time we send a query with "suggest.build=true", the suggest dictionary is built only on the replica that the distributed query hits and not the other ones.
Expected behaviour:
With one "suggest.build=true" query, the dictionary should be built on all replicas, so that further queries can get all the suggestions.
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