ParallelCompositeReader
An CompositeReader which reads multiple, parallel indexes. Each index added must have the same number of documents, and exactly the same number of leaves (with equal maxDoc), but typically each contains different fields. Deletions are taken from the first reader. Each document contains the union of the fields of all documents with the same document number. When searching, matches for a query term are from the first index added that has the field.
This is useful, e.g., with collections that have large fields which change rarely and small fields that change more frequently. The smaller fields may be re-indexed in a new index and both indexes may be searched together.
Warning: It is up to you to make sure all indexes are created and modified the same way. For example, if you add documents to one index, you need to add the same documents in the same order to the other indexes. Failure to do so will result in undefined behavior. A good strategy to create suitable indexes with IndexWriter is to use LogDocMergePolicy, as this one does not reorder documents during merging (like TieredMergePolicy) and triggers merges by number of documents per segment. If you use different MergePolicys it might happen that the segment structure of your index is no longer predictable.
Constructors
Create a ParallelCompositeReader based on the provided readers; auto-closes the given readers on .close.
Create a ParallelCompositeReader based on the provided readers.
Properties
Expert: Returns the root IndexReaderContext for this IndexReader's sub-reader tree.
Optional method: Return a CacheHelper that can be used to cache based on the content of this reader. Two readers that have different data or different sets of deleted documents will be considered different.
Expert: returns the sequential sub readers that this reader is logically composed of. This method may not return null.
Functions
Throws AlreadyClosedException if this IndexReader or any of its child readers is closed, otherwise returns.
Returns the number of documents that have at least one term for this field. Note that, just like other term measures, this measure does not take deleted documents into account.
Expert: returns the current refCount for this reader
Returns the sum of TermsEnum.docFreq for all terms in this field. Note that, just like other term measures, this measure does not take deleted documents into account.
Returns the sum of TermsEnum.totalTermFreq for all terms in this field. Note that, just like other term measures, this measure does not take deleted documents into account.
Returns true if any documents have been deleted. Implementers should consider overriding this method if .maxDoc or .numDocs are not constant-time operations.
Expert: increments the refCount of this IndexReader instance. RefCounts are used to determine when a reader can be closed safely, i.e. as soon as there are no more references. Be sure to always call a corresponding .decRef, in a finally clause; otherwise the reader may never be closed. Note that .close simply calls decRef(), which means that the IndexReader will not really be closed until .decRef has been called for all outstanding references.
Returns the reader's leaves, or itself if this reader is atomic. This is a convenience method calling this.getContext().leaves().
Returns the number of deleted documents.
Expert: This method is called by IndexReaders which wrap other readers (e.g. [ ] or FilterLeafReader) to register the parent at the child (this reader) on construction of the parent. When this reader is closed, it will mark all registered parents as closed, too. The references to parent readers are weak only, so they can be GCed once they are no longer in use.
Returns a StoredFields reader for the stored fields of this index.
Returns a TermVectors reader for the term vectors of this index.
Returns the total number of occurrences of term across all documents (the sum of the freq() for each doc that has this term). Note that, like other term measures, this measure does not take deleted documents into account.
Expert: increments the refCount of this IndexReader instance only if the IndexReader has not been closed yet and returns true iff the refCount was successfully incremented, otherwise false. If this method returns false the reader is either already closed or is currently being closed. Either way this reader instance shouldn't be used by an application unless true is returned.