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* (index-reverse) Parallel construction of the reverse indexes. * (array) Remove wasteful calculation of numDistinct before merging two sorted arrays. * (index-reverse) Force changes to disk on close, reduce logging. * (index-reverse) Clean up merging process and add back logging * (run) Add a conservative default for INDEX_CONSTRUCTION_PROCESS_OPTS's parallelism as it eats a lot of RAM * (index-reverse) Better logging during processing * (array) 2GB+ compatible write() function * (array) 2GB+ compatible write() function * (index-reverse) We are logging like Bolsonaro and I will not have it. * (reverse-index) Self-diagnostics * (btree) Fix bug in btree reader to do with large data sizes |
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Reverse Index
The reverse index contains a mapping from word to document id.
There are two tiers of this index.
- A priority index which only indexes terms that are flagged with priority flags1.
- A full index that indexes all terms.
The full index also provides access to term-level metadata, while the priority index is a binary index that only offers information about which documents has a specific word.
[1] See WordFlags in common/model and KeywordMetadata in features-convert/keyword-extraction.
Construction
The reverse index is constructed by first building a series of preindexes. Preindexes consist of a Segment and a Documents object. The segment contains information about which word identifiers are present and how many, and the documents contain information about in which documents the words can be found.
These would typically not fit in RAM, so the index journal is paged and the preindexes are constructed small enough to fit in memory, and then merged. Merging sorted arrays is a very fast operation that does not require additional RAM.
Once merged into one large preindex, indexes are added to the preindex data to form a finalized reverse index.
Central Classes
- ReversePreindex intermediate reverse index state.
- ReverseIndexConstructor constructs the index.
- ReverseIndexReader interrogates the index.