What's New in Lucene/Solr Presented by Grant Ingersoll at SolrExchage DC
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Lucene and Solr 4.8 include improvements to speed, flexibility, and scalability. Key updates include native near real-time support in Lucene, faster indexing with document writer per thread, and improved fuzzy and wildcard query processing. Solr 4 offers new faceting, geospatial, and distributed capabilities. Both projects provide easier configuration and more pluggable scoring and indexing options to improve search relevance and performance.
![FS(A|T)
• Keys:
– byte[] – write-once
– Linear time build of min. automata
– Compression, Reverse lookups
– Weights (used for auto-suggest)
– Pluggable Algebra
• Uses:
– Term Dictionary, TokenStreams, Japanese, synonyms, spelling, others
– FuzzyQuery is 100x faster -- http://bit.ly/hgO65c
• More:
– http://slidesha.re/vKtpVA, http://bit.ly/Pkjyu0
– “Smaller Representation of Finite State Automata”
• Proc. of the 16th Inter. Conf. on Implementation and Application of Automata, CIAA'2011, vol. 6807,
2011, pp. 118—192.](https://image.slidesharecdn.com/whatsnewlucenesolr-grantingersoll-140422161935-phpapp02/85/What-s-New-in-Lucene-Solr-Presented-by-Grant-Ingersoll-at-SolrExchage-DC-11-320.jpg)
What's New in Lucene/Solr Presented by Grant Ingersoll at SolrExchage DC
- 1. What’s new in Lucene and Solr? Grant Ingersoll CTO, LucidWorks Lucene/Solr Committer
- 3. Search is good for… • Traditional: Fast, fuzzy text matching across a large document collection • De-normalized data – “light” relational • Top N problems – Key-value (top 1) – Recommendations, “Good enough” classification, clustering • Faceting, slicing and dicing of numerical/enumerated data • Spatial, spell checking, record linkage, highlighting • NoSQL
- 4. What’s New? • Community • Lucene • Solr
- 5. Relax, You’re Among Friends • Large, diverse search community with many non-traditional search engine usages – Object stores, Record linkage, Social, mobile -> web • “The Apache Way” – Meritocracy – Those who do, decide! • Always Be Testing – Randomized system tests are all the rage – http://vimeo.com/32087114 • Patches Welcome!
- 7. Coming Soon: Lucene and Solr 4.8 Java 1.7
- 9. Lucene: Speed and Memory • Native Near Real Time (NRT) support – Per segment – FieldCache can be controlled to only load new segments – Soft commit -- faster without fsync, allows quicker update visibility • DWPT (Document Writer per Thread) – Faster more consistent index speed • Faster fuzzy & wildcard query processing • Automatic compression of stored fields and term vectors • String -> BytesRef – Much improved data structure – … means less memory and less garbage collection effort
- 10. Lucene: Flexibility • Flexible Index Formats – New posting list codecs: Block, Simple Text, HDFS, etc. – Pulsing codec: improves performance of primary key searches, inlining docs, positions, and payloads, saves disk seeks • Pluggable Scoring – Decoupled from TF/IDF – Built in alternatives include BM25 & DFR, and others • http://en.wikipedia.org/wiki/Okapi_BM25 • http://terrier.org/docs/v3.5/dfr_description.html – Add your own
- 11. FS(A|T) • Keys: – byte[] – write-once – Linear time build of min. automata – Compression, Reverse lookups – Weights (used for auto-suggest) – Pluggable Algebra • Uses: – Term Dictionary, TokenStreams, Japanese, synonyms, spelling, others – FuzzyQuery is 100x faster -- http://bit.ly/hgO65c • More: – http://slidesha.re/vKtpVA, http://bit.ly/Pkjyu0 – “Smaller Representation of Finite State Automata” • Proc. of the 16th Inter. Conf. on Implementation and Application of Automata, CIAA'2011, vol. 6807, 2011, pp. 118—192.
- 12. Grab Bag • Lots of new suggesters – Available in Solr • Doc Values – Column oriented store – Numeric and binary variants are updatable (coming to Solr soon) • Overhauled term vectors APIs – Now look a lot like Terms
- 14. Solr 4: New Features • Search/Faceting/Relevance – New Relevance Function Queries (tf, df, others) – Pivot Faceting – Pseudo-join – Improved Spatial (more later) – Full support for Lucene Codecs, pluggable scoring • Indexing – New Update Processors, including scripting option – Near real time • Schema and Config APIs + Schemaless • Cursors (aka Deep Paging) • Admin UI
- 15. Geospatial improvements • Index shapes other than points (circles, polygons, etc) • More complex interactions than point in a circle • Indexing: – "geo”:”43.17614,-90.57341” – “geo”:”Circle(4.56,1.23 d=0.0710)” – “geo”:”POLYGON((-10 30, -40 40, -10 -20, 40 20, 0 0, -10 30))” • Searching: – fq=geo:"Intersects(-74.093 41.042 -69.347 44.558)" – fq=geo:"Intersects(POLYGON((-10 30, -40 40, -10 -20, 40 20, 0 0, -10 30)))”
- 16. Scaling Solr • Distributed/sharded indexing & search – Auto distributes updates and queries to appropriate shards – Near Real Time (NRT) indexing capable – Document routing extensions • Dynamically scalable – New SolrCloud instances add indexing and query capacity – Supports re-balancing (shard-splitting) • Reliable – No single point of failure – Transactions logged – Robust, automatic recover • http://wiki.apache.org/solr/SolrCloud
- 17. Solr as NoSQL • Non-traditional data stores • Not designed for SQL type queries • Distributed fault tolerant architecture • Document oriented, data format agnostic (JSON, XML, CSV, binary)
- 18. Go Deep!
- 19. APIs • New APIs for Schema and Solr Config – XML becoming more of an implementation detail • Managed Schema mode • Data-driven schema (aka schemaless) • Synonyms, stopwords, request handlers
- 20. Beyond Solr: LucidWorks Open Source • Effortless AWS deployment and monitoring: http://www.github.com/lucidworks/solr-scale-tk • Logstash for Solr: https://github.com/LucidWorks/solrlogmanager • Banana (Kibana for Solr): https://github.com/LucidWorks/banana • Data Quality Toolkit: https://github.com/LucidWorks/data-quality • Coming Soon for Big Data: Hadoop, Pig, Hive 2-way support w/ Lucene and Solr, different file formats, pipelines, Logstash
- 21. Summary • Lucene/Solr 4.x: – Faster – More Flexible – Easier than ever scaling – More reliable than ever • Go forth and rank!
- 22. Resources • Me – [email protected] – @gsingers on Twitter • LucidWorks – http://www.lucidworks.com – http://www.lucidworks.com/support-services/ask-the-experts/