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https://issues.apache.org/jira/browse/OAK-4412?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15395191#comment-15395191
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Ian Boston commented on OAK-4412:
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I assume you mean using the NRT search feature only for the local index and not
the index that is committed into Oak. IIRC from experiments in 2011, Lucene's
NRT feature is not durable and without a separate WAL looses data. Also, with
the same index on every cluster member, the index gains no scalability benefits
from the cluster, but that is a bigger issue which would need a significant
rethink.
> Lucene hybrid index
> -------------------
>
> Key: OAK-4412
> URL: https://issues.apache.org/jira/browse/OAK-4412
> Project: Jackrabbit Oak
> Issue Type: Improvement
> Components: lucene
> Reporter: Tomek Rękawek
> Assignee: Tomek Rękawek
> Fix For: 1.6
>
> Attachments: OAK-4412.patch
>
>
> When running Oak in a cluster, each write operation is expensive. After
> performing some stress-tests with a geo-distributed Mongo cluster, we've
> found out that updating property indexes is a large part of the overall
> traffic.
> The asynchronous index would be an answer here (as the index update won't be
> made in the client request thread), but the AEM requires the updates to be
> visible immediately in order to work properly.
> The idea here is to enhance the existing asynchronous Lucene index with a
> synchronous, locally-stored counterpart that will persist only the data since
> the last Lucene background reindexing job.
> The new index can be stored in memory or (if necessary) in MMAPed local
> files. Once the "main" Lucene index is being updated, the local index will be
> purged.
> Queries will use an union of results from the {{lucene}} and
> {{lucene-memory}} indexes.
> The {{lucene-memory}} index, as a local stored entity, will be updated using
> an observer, so it'll get both local and remote changes.
> The original idea has been suggested by [~chetanm] in the discussion for the
> OAK-4233.
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