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Data IO: Next Generation Search with Lucene and Solr 4

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Overview talk on Lucene and Solr 4 features, using search for alternative problems.

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Data IO: Next Generation Search with Lucene and Solr 4

  1. 1. Next Generation Search with Lucene and Solr 4 Grant Ingersoll CTO, LucidWorks Read More: http://ibm.co/1dJvL9k © Copyright 2013
  2. 2. Search is Dead, Long Live Search • Search is Everywhere! • The Bar is Raised • Holistic view of the data AND the users is critical © 2013 LucidWorks
  3. 3. Search is good for… • Classic: Fast, fuzzy text matching across a large document collection • NoSQL and De-normalized data - ―light‖ relational • Top N problems • Faceting, slicing and dicing of numerical/enumerated data • Spatial, spell checking, record linkage, highlighting 3 © 2013 LucidWorks
  4. 4. © Copyright 2013
  5. 5. 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 • String -> BytesRef - Much improved data structure - … means less memory and less garbage collection effort © 2013 LucidWorks
  6. 6. Up and to the Right • http://people.apache.org/~mikemccand/lucenebench/in dexing.html 6 © 2013 LucidWorks
  7. 7. Lucene: Flexibility • Flexible Index Formats - New posting list codecs: Block, Simple Text, Append (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 © 2013 LucidWorks
  8. 8. FS(A|T) • Keys: - byte[] – write-once - Linear time build of min. automata (nlogn if not sorted, which isn’t our case) - 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. © 2013 LucidWorks
  9. 9. Recent Additions • Replication module • New Faceting capabilities • New Suggester to handle infix suggestions • Analysis Additions - Norwegian, Scandinavian alternatives • Memory and FST improvements 9 © 2013 LucidWorks
  10. 10. © Copyright 2013
  11. 11. 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 • Codec/Similarity support from Lucene 4 • Other - New Admin UI © 2013 LucidWorks
  12. 12. Geospatial improvements • Index shapes other than points (circles, polygons, etc) • More complex interactions than point in a circle using Well Known Text • 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)))‖ © 2013 LucidWorks
  13. 13. Scaling Solr • Distributed/sharded indexing & search - Auto distributes updates and queries to appropriate shards - Near Real Time (NRT) indexing capable • Dynamically scalable - New SolrCloud instances add indexing and query capacity - Supports re-balancing • Reliable - No single point of failure - Transactions logged - Robust, automatic recover • http://wiki.apache.org/solr/SolrCloud © 2013 LucidWorks
  14. 14. Solr as NoSQL • Characteristics - Non-traditional data stores Not designed for SQL type queries Distributed fault tolerant architecture Document oriented, data format agnostic(JSON, XML, CSV, binary) • Updated durability via transaction log • Real-time /get fetches latest version w/o hard commit • Versioning and optimistic locking - w/ Real Time GET, allows read/write/update w/o conflicts • Atomic updates - Can add/remove/change and increment a field in existing doc w/o re-indexing © 2013 LucidWorks
  15. 15. Recent Additions • HDFS backed directory for storing index and transaction logs in Apache Hadoop • New Core discovery capabilities • Schemaless/External Schema/Field Guessing • Schema APIs • Add documents from the Admin UI 15 © 2013 LucidWorks
  16. 16. Applications 16 Copyright 2013 ©
  17. 17. … Find your Keys, Store Your Content • Lucene/Solr is a fast key-value store - Bonus: search your values! • NoSQL before NoSQL was cool • Solr: distributed key/value - Durable, Isolated, Redundant, Fast, Real-time - Joins, Column Storage • Solr or Tika + Lucene can index popular office formats • Solr can backup/replicate and scale as content grows © 2013 LucidWorks
  18. 18. … Find Love! Upsell! Cross-sell! • Cross recommendation as search - with search used to build cross recommendation! • Recommend content to people who exhibit certain behaviors (clicks, query terms, other) • (Ab)use of a search engine - but not as a search engine for content - more like a search engine for behavior • See Ted Dunning’s talk from Berlin Buzzwords on Multi-modal Recommendation Algorithms - http://berlinbuzzwords.com/sessions/multi-modal-recommendation-algorithms • Go get Mahout/Myrrix or just do it in y(our) search engine © 2013 LucidWorks
  19. 19. … Avoid Delays 19 © 2013 LucidWorks
  20. 20. … Wibbly-wobbly Timey-wimey Stuff • Leverage Solr’s new spatial capabilities to index non-spatial data, such as time ranges - Useful for Open Hours, Shifts, etc. • Query using rectangle intersections - q = shift:"Intersects(0 19 23 365)‖ https://people.apache.org/~hossman/spatial-for-non-spatial-meetup-20130117/ 20 © 2013 LucidWorks
  21. 21. Summary • Lucene/Solr 4.x: - Faster More Flexible Easier than ever scaling More reliable than ever • If you need to rank a bunch of stuff according to some notion of similarity, a search engine is the way to go 21 © 2013 LucidWorks
  22. 22. Where to Next? • Full article: http://ibm.co/1dJvL9k • • http://www.lucidworks.com • http://lucene.apache.org/ • Training: http://bit.ly/lws-training • LucidWorks Search (Solr++) more info: http://bit.ly/lws-moreinfo • Twitter: @gsingers, @LucidWorks • Taming Text: http://www.manning.com/ingersoll 22 © 2013 LucidWorks

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