24 September 2018, Apache Lucene™ 7.5.0 available
The Lucene PMC is pleased to announce the release of Apache Lucene 7.5.0.
Apache Lucene is a high-performance, full-featured text search engine
library written entirely in Java. It is a technology suitable for nearly
any application that requires full-text search, especially cross-platform.
This release contains numerous bug fixes, optimizations, and improvements,
some of which are highlighted below. The release is available for immediate
download at: http://lucene.apache.org/core/downloads.html Please read
CHANGES.txt for a full list of new features and changes:
https://lucene.apache.org/core/7_5_0/changes/Changes.html
Lucene 7.5.0 Release Highlights:
Bug Fixes
IndexWriter#deleteDocs(Query... query) applies deletes to wrong documents
if the index is sorted.
Changes in Runtime behavior
TieredMergePolicy now respects maxSegmentSizeMB by default when
executing findForcedMerges and findForcedDeletesMerges.
Improvements
A new points based Shape Indexing and Searching that decomposes shapes
into a triangular mesh and indexes individual triangles as a 6 dimension
point.
A new ByteBuffer based Directory implementation that aims to replace the
deprecated RAMDirectory.
The UnifiedHighlighter can now use the MatchesIterator API to highlight
any query more accurately.
TopFieldComparator can now stop comparing documents if the index is
sorted, even if hits still need to be visited to compute the hit count.
TieredMergePolicy can control how aggressively deletes should be
reclaimed with the new deletesPctAllowed setting.
Further details of changes are available in the change log available at:
http://lucene.apache.org/core/7_5_0/changes/Changes.html
Please report any feedback to the mailing lists (
http://lucene.apache.org/core/discussion.html)
Note: The Apache Software Foundation uses an extensive mirroring network
for distributing releases. It is possible that the mirror you are using may
not have replicated the release yet. If that is the case, please try
another mirror. This also applies to Maven access.
The Lucene PMC is pleased to announce the release of Apache Lucene 7.5.0.
Apache Lucene is a high-performance, full-featured text search engine
library written entirely in Java. It is a technology suitable for nearly
any application that requires full-text search, especially cross-platform.
This release contains numerous bug fixes, optimizations, and improvements,
some of which are highlighted below. The release is available for immediate
download at: http://lucene.apache.org/core/downloads.html Please read
CHANGES.txt for a full list of new features and changes:
https://lucene.apache.org/core/7_5_0/changes/Changes.html
Lucene 7.5.0 Release Highlights:
Bug Fixes
IndexWriter#deleteDocs(Query... query) applies deletes to wrong documents
if the index is sorted.
Changes in Runtime behavior
TieredMergePolicy now respects maxSegmentSizeMB by default when
executing findForcedMerges and findForcedDeletesMerges.
Improvements
A new points based Shape Indexing and Searching that decomposes shapes
into a triangular mesh and indexes individual triangles as a 6 dimension
point.
A new ByteBuffer based Directory implementation that aims to replace the
deprecated RAMDirectory.
The UnifiedHighlighter can now use the MatchesIterator API to highlight
any query more accurately.
TopFieldComparator can now stop comparing documents if the index is
sorted, even if hits still need to be visited to compute the hit count.
TieredMergePolicy can control how aggressively deletes should be
reclaimed with the new deletesPctAllowed setting.
Further details of changes are available in the change log available at:
http://lucene.apache.org/core/7_5_0/changes/Changes.html
Please report any feedback to the mailing lists (
http://lucene.apache.org/core/discussion.html)
Note: The Apache Software Foundation uses an extensive mirroring network
for distributing releases. It is possible that the mirror you are using may
not have replicated the release yet. If that is the case, please try
another mirror. This also applies to Maven access.