Proposal for nested document support in Lucene

M
Nested Documents in Lucene,[object Object],High-performance support for parent/child document relations,[object Object],mark@searcharea.co.uk,[object Object]
Problem:,[object Object],The Lucene data model is based on Documents, Fields and Terms. However many real-world data structures cannot be properly represented when collapsed into a single Lucene document.,[object Object],Single,[object Object],Lucene,[object Object],document,[object Object]
Problem: “Cross-matching”,[object Object],When two or more data structures of the same type are jumbled up into a single Lucene field, matching logic becomes confused e.g. >1 qualification in a resume,[object Object],John,[object Object],Name,[object Object],John,[object Object],A1 in Maths,[object Object],A1, E1,[object Object],Grade,[object Object],E1 in Science,[object Object],Subject,[object Object],Maths, Science,[object Object],!,[object Object],False match for query:,[object Object],Grade:A1 AND Subject:Science,[object Object]
Unacceptable solution #1,[object Object],One modeling approach is to store related items in the same field and use proximity operators in queries,[object Object],Name,[object Object],John,[object Object],A1 Maths….E1 Science,[object Object],GradeAndSubject,[object Object],John,[object Object],Example query:,[object Object], “GradeAndSubject:”A1 Science”~2,[object Object],A1 in Maths,[object Object],E1 in Science,[object Object],!,[object Object],Slow,[object Object],!,[object Object],Not scalable with number of fields ,[object Object],[object Object]
 Proximity distances must grow.
 Only one choice of Analyzer for given field ,[object Object],[object Object]
Solution: Nested Document Queries,[object Object],Nested documents need to be queried using new NestedDocumentQuery class which understands document relationships,[object Object],John,[object Object],Name,[object Object],A1,[object Object],E1,[object Object],Grade,[object Object],Grade,[object Object],docType,[object Object],resume,[object Object],Subject,[object Object],Maths,[object Object],Subject,[object Object],Science,[object Object],New NestedDocumentQuery,[object Object],[object Object]
 Reports any matches as a match on the parent document not the child
 Super-fast evaluation of joins between child and parent
 Requires an indexed field to identify parent documents?,[object Object]
Solution: Example Query,[object Object],Find resume of person called “John” with A1 grade in Maths,[object Object],John,[object Object],Name,[object Object],E1,[object Object],A1,[object Object],resume,[object Object],Grade,[object Object],docType,[object Object],Grade,[object Object],Subject,[object Object],Science,[object Object],Subject,[object Object],Maths,[object Object],The NestedDocumentQuery wrapper simply translates the stream of reported matches from the child-level query criteria into matches on the parent for evaluation of all the parent-level logic,[object Object]
Solution: Join speed,[object Object],Unlike a database, the cost of a join (child to parent) is blisteringly fast,[object Object],3) Find first prior set bit e.g. position #356,670,[object Object],100000100000000100000001000000010000001000010000000001000000100000100001,[object Object],2) Index directly into cached BitSet at position #356,675,[object Object],1) Match reported on document #356,675,[object Object],ParentQuery,[object Object],4) Attribute match to doc #356,670,[object Object],NestedDocumentQuery,[object Object],ChildQuery,[object Object],The BitSet for defining parents is obtained from a Filter and can be cached aggressively with minimal memory cost (one bit per document in the index),[object Object]
Other advantages,[object Object],Parent-child document relationships can also be used to limit child results from any one parent (e.g. efficiently control the max number of pages returned from any one website),[object Object],Nesting levels can be arbitrarily deep ,[object Object],Very powerful multi-child queries possible e.g. find people likely to know person X using resume’s employment histories (multiple employer names/urls and related date-ranges),[object Object]
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Proposal for nested document support in Lucene