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https://issues.apache.org/jira/browse/OAK-4233?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15253435#comment-15253435
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Chetan Mehrotra commented on OAK-4233:
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Couple of points
* If we are switching to async mode then its better to make use of Lucene as
that provides much compact storage and reduces load on "nodes" collection
* To make the async index more closer to current state (per cluster node) we
can have another in memory Lucene index which gets updated by the background
observer based on diff from last checkpoint and current state. The query can
then be a union of cursors from the two indexes (base persisted index and in
memory index)
This would not be exactly same as current sync index but very close.
> Property index stored locally
> -----------------------------
>
> Key: OAK-4233
> URL: https://issues.apache.org/jira/browse/OAK-4233
> Project: Jackrabbit Oak
> Issue Type: Improvement
> Components: documentmk, query
> Reporter: Tomek Rękawek
> Priority: Minor
> Fix For: 1.6
>
>
> 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. Let's try to create a new property-local index, that will save the
> indexed data locally, without sharing it.
> Assumptions:
> -there's a new {{property-local}} index type for which the data are saved in
> the local SegmentNodeStore instance created specifically for this purpose,
> -local changes are indexed using a new editor, based on the
> {{PropertyIndexEditor}},
> -remote changes are extracted from the JournalEntries fetched in the
> background read operation and indexed as well,
> -the new index type won't support uniqueness restriction.
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