MultiSearcher Members

Creates a searcher which searches searchables.

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Doc	Overloaded.
DocFreq
DocFreqs (inherited from Searcher)
Equals (inherited from Object)	Determines whether the specified Object is equal to the current Object.
Explain	Overloaded.
Explain (inherited from Searcher)	Overloaded.
GetHashCode (inherited from Object)	Serves as a hash function for a particular type. GetHashCode is suitable for use in hashing algorithms and data structures like a hash table.
GetSearchables	Return the array of {@link Searchable}s this searches.
GetSimilarity (inherited from Searcher)
GetType (inherited from Object)	Gets the Type of the current instance.
MaxDoc
Rewrite
Search	Overloaded.
Search (inherited from Searcher)	Overloaded. Returns the documents matching query .
SetSimilarity (inherited from Searcher)	Expert: Set the Similarity implementation used by this Searcher.
SubDoc	Returns the document number of document n within its sub-index.
SubSearcher	Returns index of the searcher for document n in the array used to construct this searcher.
ToString (inherited from Object)	Returns a String that represents the current Object.

Finalize (inherited from Object)	Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
MemberwiseClone (inherited from Object)	Creates a shallow copy of the current Object.

CreateWeight	Create weight in multiple index scenario. Distributed query processing is done in the following steps: 1. rewrite query 2. extract necessary terms 3. collect dfs for these terms from the Searchables 4. create query weight using aggregate dfs. 5. distribute that weight to Searchables 6. merge results Steps 1-4 are done here, 5+6 in the search() methods
GetStarts