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https://issues.apache.org/jira/browse/OAK-2892?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chetan Mehrotra updated OAK-2892:
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Description:
While migrating large repositories say having 3 M docs (250k PDF) Lucene
indexing takes long time to complete (at time 4 days!). Currently the text
extraction logic is coupled with Lucene indexing and hence is performed in a
single threaded mode which slows down the indexing process. Further if the
reindexing has to be triggered it has to be done all over again.
To speed up the Lucene indexing we can decouple the text extraction
from actual indexing. It is partly based on discussion on OAK-2787
# Introduce a new ExtractedTextProvider which can provide extracted text for a
given Blob instance
# In oak-run introduce a new indexer mode - This would take a path in
repository and would then traverse the repository and look for existing
binaries and extract text from that
So before or after migration is done one can run this oak-run tool to create
this store which has the text already extracted. Then post startup we need to
wire up the ExtractedTextProvider instance (which is backed by the BlobStore
populated before) and indexing logic can just get content from that. This would
avoid performing expensive text extraction in the indexing thread.
See discussion thread http://markmail.org/thread/ndlfpkwfgpey6o66
was:
While migrating large repositories say having 3 M docs (250k PDF) Lucene
indexing takes long time to complete (at time 4 days!). Currently the text
extraction logic is coupled with Lucene indexing and hence is performed in a
single threaded mode which slows down the indexing process. Further if the
reindexing has to be triggered it has to be done all over again.
To speed up the Lucene indexing we can decouple the text extraction
from actual indexing. It is partly based on discussion on OAK-2787
# Introduce a new ExtractedTextProvider which can provide extracted
text for a given Blob instance
# In oak-run introduce a new indexer mode - This would take a path in
repository and would then traverse the repository and look for existing
binaries and extract text from that
So before or after migration is done one can run this oak-run tool to create
this store which has the text already extracted. Then post startup we need to
wire up the ExtractedTextProvider instance (which is backed by the BlobStore
populated before) and indexing logic can just get content from that. This would
avoid performing expensive text extraction in the indexing thread.
> Speed up lucene indexing post migration by pre extracting the text content
> from binaries
> ----------------------------------------------------------------------------------------
>
> Key: OAK-2892
> URL: https://issues.apache.org/jira/browse/OAK-2892
> Project: Jackrabbit Oak
> Issue Type: New Feature
> Components: lucene, run
> Reporter: Chetan Mehrotra
> Assignee: Chetan Mehrotra
> Fix For: 1.3.0, 1.0.15
>
>
> While migrating large repositories say having 3 M docs (250k PDF) Lucene
> indexing takes long time to complete (at time 4 days!). Currently the text
> extraction logic is coupled with Lucene indexing and hence is performed in a
> single threaded mode which slows down the indexing process. Further if the
> reindexing has to be triggered it has to be done all over again.
> To speed up the Lucene indexing we can decouple the text extraction
> from actual indexing. It is partly based on discussion on OAK-2787
> # Introduce a new ExtractedTextProvider which can provide extracted text for
> a given Blob instance
> # In oak-run introduce a new indexer mode - This would take a path in
> repository and would then traverse the repository and look for existing
> binaries and extract text from that
> So before or after migration is done one can run this oak-run tool to create
> this store which has the text already extracted. Then post startup we need to
> wire up the ExtractedTextProvider instance (which is backed by the BlobStore
> populated before) and indexing logic can just get content from that. This
> would avoid performing expensive text extraction in the indexing thread.
> See discussion thread http://markmail.org/thread/ndlfpkwfgpey6o66
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