Chetan Mehrotra created OAK-2892:
------------------------------------
Summary: 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
