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dnet-hadoop/dhp-pace-core
Giambattista Bloisi 02636e802c SparkCreateSimRels:
- Create dedup blocks from the complete queue of records matching cluster key instead of truncating the results
- Clean titles once before clustering and similarity comparisons
- Added support for filtered fields in model
- Added support for sorting List fields in model
- Added new JSONListClustering and numAuthorsTitleSuffixPrefixChain clustering functions
- Added new maxLengthMatch comparator function
- Use reduced complexity Levenshtein with threshold in levensteinTitle
- Use reduced complexity AuthorsMatch with threshold early-quit
- Use incremental Connected Component to decrease comparisons in similarity match in BlockProcessor
- Use new clusterings configuration in Dedup tests

SparkWhitelistSimRels: use left semi join for clarity and performance

SparkCreateMergeRels:
- Use new connected component algorithm that converge faster than Spark GraphX provided algorithm
- Refactored to use Windowing sorting rather than groupBy to reduce memory pressure
- Use historical pivot table to generate singleton rels, merged rels and keep continuity with dedupIds used in the past
- Comparator for pivot record selection now uses "tomorrow" as filler for missing or incorrect date instead of "2000-01-01"
- Changed generation of ids of type dedup_wf_001 to avoid collisions

DedupRecordFactory: use reduceGroups instead of mapGroups to decrease memory pressure
2024-01-10 22:59:52 +01:00
..
src SparkCreateSimRels: 2024-01-10 22:59:52 +01:00
pom.xml Use scala.binary.version property to resolve scala maven dependencies 2023-07-24 11:13:48 +02:00