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It's totally simple to have Lucene generate a few billion ints so that you can encode/decode if you want to run standalone assessments. It does the "onerous part" of enabling Lucene to function on a set of ints at once, which is somewhat difficult as the search factors (within the phrases dict and the skipping lists) should now encode both the file-pointer the place the block starts as effectively as the index (beginning int) into the block. FOR is an easy encoding: it takes each mounted block of ints, ands shops all of them as packed ints, the place each worth will get N bits, set by the utmost int in the block. 2) is slower, likely because a good number of the 519 phrases it expands to have low frequency, and so the overhead of a full block decode is hurting performance. This technique known as an insane variety of times, while iterating the postings lists (docs, freqs, positions), throughout question execution. You also agree to not enter sensitive personal info into any AI powered query

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