The methods of the ParallelMultiSearcher class are listed below. For a complete list of ParallelMultiSearcher class members, see the ParallelMultiSearcher Members topic.
Public Instance Methods
 Close (inherited from MultiSearcher) | |
| Doc (inherited from MultiSearcher) | |
| DocFreq | TODO: parallelize this one too |
| DocFreqs (inherited from Searcher) | |
| Equals (inherited from Object) | Determines whether the specified Object is equal to the current Object. |
| Explain (inherited from MultiSearcher) | Overloaded. |
| Explain (inherited from Searcher) | Overloaded. |
| GetHashCode (inherited from Object) | Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table. |
| GetSearchables (inherited from MultiSearcher) | 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 (inherited from MultiSearcher) | |
| Rewrite | |
| Search | Overloaded. A search implementation allowing sorting which spans a new thread for each Searchable, waits for each search to complete and merges the results back together. |
| Search (inherited from Searcher) | Overloaded. Returns documents matching queryand filter, sorted by sort. |
| SetSimilarity (inherited from Searcher) | Expert: Set the Similarity implementation used by this Searcher. |
| SubDoc (inherited from MultiSearcher) | Returns the document number of document nwithin its sub-index. |
| SubSearcher (inherited from MultiSearcher) | Returns index of the searcher for document nin the array used to construct this searcher. |
| ToString (inherited from Object) | Returns a String that represents the current Object. |
Protected Instance Methods
 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. |
Protected Internal Instance Methods
 CreateWeight (inherited from MultiSearcher) | 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 (inherited from MultiSearcher) |
See Also
ParallelMultiSearcher Class | Lucene.Net.Search Namespace