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October 13-15, 2015 • Austin, TX
http://lucenerevolution.org
Inside Apache Solr 5
COMMUNITY
CUSTOMERS PRODUCTS
Apache Solr +
Lucidworks
Search is more than just a box.
personal.
contextual.
actionable.
Search makes data
Search can be smarter.
location search history query security context
Personal, contextual, relevant results: consumer-
like simplicity and power in the enterprise.
Product Offering
Environment
Features
Support Level
Additional Support
Availability
Response Time
Number of Incidents
Pricing Model
Solr
Enterprise
24x7
SLA-Backed
Unlimited Incidents
Per Node
Dev Support (4 Contacts)
Operational Support
Regular Health Checks
Security
Log Analysis / SiLK Support
Dashboards & Reporting
Enhanced Admin UI
Fusion
Dev Support (4 Contacts)
Operational Support
Regular Health Checks
24x7
SLA-Backed
Unlimited Incidents
Per Node
Security
Crawlers & Connectors
Log Analysis / SiLK Support
Enhanced Admin UI
Data Enrichment
Machine Learning
Recommendations
Advanced Relevancy Tuning
Developer
Support
How-To Support
Knowledge Base
Fusion Support
9x5
SLA-Backed
Unlimited Incidents
Per Named Developer
ProductionDevelopment
• Get Started
• Dig in
• Go Big
• Get Finished
• Sneak peak
Inside Apache Solr 5
• Easy to start/stop
./bin/solr {start|stop}
• Create collections:
./bin/solr create -c <COLL_NAME>
• No more WAR! Web container (Jetty) is now an
implementation detail
• Scripts to support installing and running Solr as a
service on Linux.
Get Started
JSON’s great:
• Solr 5 “does the right thing” for JSON out of the box
Except when it isn’t:
• Most data isn’t JSON
• Solr handles CSV, XML, Rich Content out of the box
without having to install plugins
Your Content, Your Way
Your Content, Your Way
• Solr 5 will ship Tika 1.7, adding:
• OCR support
• PST and Matlab
• Better Date Handling
• More flexibility with spatial units
Dig In
• Stats and Pivot faceting now work
together
• Focused on accuracy of results
• First few steps in unification of all
facet types with stats and
aggregations
• http://lucidworks.com/blog/you-
got-stats-in-my-facets/
Pivots and Stats
• Schema API: REST API for adding field types, and
dynamic fields
• Managing Request Handlers through API
• Implicit registration of replication, Real Time Get
and Administration Handlers
• Improved APIs for managing collections
API Goodness
Lucene 5 Highlights
• Stronger index safety guarantees
• Reduced memory usage in a number of areas
• No more FieldCache (replaced w/
UninvertingReader)
• Multi-valued sorting and suggesters
• Better IO defaults when using SSDs
• More efficient handling of merging stored fields
Go Big
• Many scaling improvements focused on interactions with
Zookeeper:
• Split cluster state management reduces chattiness in
large multi-tenant implementations
• Improved performance for Overseer operations
• Better timeout defaults based on real-world testing
• See Shalin Mangar’s Revolution Keynote for more details:
http://bit.ly/shalinRevKeynote
Distributed IDF
• IDF = Inverse Document Frequency = A measure of the
relative importance of a word in a collection
• 4 implementations:
• LocalStatsCache: Local Stats
• ExactStatsCache: One time use aggregation
• ExactSharedStatsCache: Stats shared across requests
• LRUStatsCache: Stats shared in an LRU cache across
requests
• Ease of getting started means
nothing if you can’t stay
running in production
• Jepsen tests simulate network
partitions, data loss, i.e. “The
Real World”
• https://github.com/
LucidWorks/jepsen/tree/solr-
jepsen
Get Finished
Stability Improvements
• Protection of ZK content
• ReplicationHandler now has an option to throttle the
speed of replication
• More control over terminating long running queries
• Finite default timeouts for select and update requests
WELCOME TO THE FUTURE
• Facets and Analytics:
• Mix and match all facet types and stats (SOLR-6352,
SOLR-6353, SOLR-4212)
• Percentiles via t-digest (SOLR-6350)
• Replication performance (SOLR-6816)
• Finish off Config APIs (various)
• Data location aware ValueSource implementation for fast
changing distributed data
• First class support for more languages OOTB
Near Term Road Map
Resources
Release Notes:
• Solr: http://wiki.apache.org/solr/ReleaseNote50
• Lucene: https://wiki.apache.org/lucene-java/ReleaseNote50
Lucidworks: http://www.lucidworks.com
• Webinar recording will be available soon
Grant
• grant@lucidworks.com
• Twitter: @gsingers
Webinar: Inside Apache Solr 5

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Webinar: Inside Apache Solr 5

  • 1.
  • 2. October 13-15, 2015 • Austin, TX http://lucenerevolution.org
  • 5. Search is more than just a box.
  • 7. Search can be smarter. location search history query security context Personal, contextual, relevant results: consumer- like simplicity and power in the enterprise.
  • 8. Product Offering Environment Features Support Level Additional Support Availability Response Time Number of Incidents Pricing Model Solr Enterprise 24x7 SLA-Backed Unlimited Incidents Per Node Dev Support (4 Contacts) Operational Support Regular Health Checks Security Log Analysis / SiLK Support Dashboards & Reporting Enhanced Admin UI Fusion Dev Support (4 Contacts) Operational Support Regular Health Checks 24x7 SLA-Backed Unlimited Incidents Per Node Security Crawlers & Connectors Log Analysis / SiLK Support Enhanced Admin UI Data Enrichment Machine Learning Recommendations Advanced Relevancy Tuning Developer Support How-To Support Knowledge Base Fusion Support 9x5 SLA-Backed Unlimited Incidents Per Named Developer ProductionDevelopment
  • 9. • Get Started • Dig in • Go Big • Get Finished • Sneak peak Inside Apache Solr 5
  • 10. • Easy to start/stop ./bin/solr {start|stop} • Create collections: ./bin/solr create -c <COLL_NAME> • No more WAR! Web container (Jetty) is now an implementation detail • Scripts to support installing and running Solr as a service on Linux. Get Started
  • 11. JSON’s great: • Solr 5 “does the right thing” for JSON out of the box Except when it isn’t: • Most data isn’t JSON • Solr handles CSV, XML, Rich Content out of the box without having to install plugins Your Content, Your Way
  • 12. Your Content, Your Way • Solr 5 will ship Tika 1.7, adding: • OCR support • PST and Matlab • Better Date Handling • More flexibility with spatial units
  • 14. • Stats and Pivot faceting now work together • Focused on accuracy of results • First few steps in unification of all facet types with stats and aggregations • http://lucidworks.com/blog/you- got-stats-in-my-facets/ Pivots and Stats
  • 15. • Schema API: REST API for adding field types, and dynamic fields • Managing Request Handlers through API • Implicit registration of replication, Real Time Get and Administration Handlers • Improved APIs for managing collections API Goodness
  • 16. Lucene 5 Highlights • Stronger index safety guarantees • Reduced memory usage in a number of areas • No more FieldCache (replaced w/ UninvertingReader) • Multi-valued sorting and suggesters • Better IO defaults when using SSDs • More efficient handling of merging stored fields
  • 17. Go Big • Many scaling improvements focused on interactions with Zookeeper: • Split cluster state management reduces chattiness in large multi-tenant implementations • Improved performance for Overseer operations • Better timeout defaults based on real-world testing • See Shalin Mangar’s Revolution Keynote for more details: http://bit.ly/shalinRevKeynote
  • 18. Distributed IDF • IDF = Inverse Document Frequency = A measure of the relative importance of a word in a collection • 4 implementations: • LocalStatsCache: Local Stats • ExactStatsCache: One time use aggregation • ExactSharedStatsCache: Stats shared across requests • LRUStatsCache: Stats shared in an LRU cache across requests
  • 19. • Ease of getting started means nothing if you can’t stay running in production • Jepsen tests simulate network partitions, data loss, i.e. “The Real World” • https://github.com/ LucidWorks/jepsen/tree/solr- jepsen Get Finished
  • 20. Stability Improvements • Protection of ZK content • ReplicationHandler now has an option to throttle the speed of replication • More control over terminating long running queries • Finite default timeouts for select and update requests
  • 21. WELCOME TO THE FUTURE
  • 22. • Facets and Analytics: • Mix and match all facet types and stats (SOLR-6352, SOLR-6353, SOLR-4212) • Percentiles via t-digest (SOLR-6350) • Replication performance (SOLR-6816) • Finish off Config APIs (various) • Data location aware ValueSource implementation for fast changing distributed data • First class support for more languages OOTB Near Term Road Map
  • 23. Resources Release Notes: • Solr: http://wiki.apache.org/solr/ReleaseNote50 • Lucene: https://wiki.apache.org/lucene-java/ReleaseNote50 Lucidworks: http://www.lucidworks.com • Webinar recording will be available soon Grant • grant@lucidworks.com • Twitter: @gsingers