{"id":"https://openalex.org/W4396571370","doi":"https://doi.org/10.14778/3641204.3641222","title":"Scaling Package Queries to a Billion Tuples via Hierarchical Partitioning and Customized Optimization","display_name":"Scaling Package Queries to a Billion Tuples via Hierarchical Partitioning and Customized Optimization","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396571370","doi":"https://doi.org/10.14778/3641204.3641222"},"language":"en","primary_location":{"id":"doi:10.14778/3641204.3641222","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3641204.3641222","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111578658","display_name":"A. L.","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anh L. Mai","raw_affiliation_strings":["New York University Abu Dhabi"],"affiliations":[{"raw_affiliation_string":"New York University Abu Dhabi","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089195991","display_name":"Pengyu Wang","orcid":"https://orcid.org/0000-0001-5768-0658"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengyu Wang","raw_affiliation_strings":["New York University Abu Dhabi"],"affiliations":[{"raw_affiliation_string":"New York University Abu Dhabi","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044418740","display_name":"Azza Abouzied","orcid":"https://orcid.org/0000-0003-4273-2536"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Azza Abouzied","raw_affiliation_strings":["New York University Abu Dhabi"],"affiliations":[{"raw_affiliation_string":"New York University Abu Dhabi","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072749095","display_name":"Matteo Brucato","orcid":"https://orcid.org/0000-0003-2730-6432"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Matteo Brucato","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090729930","display_name":"Peter J. Haas","orcid":"https://orcid.org/0000-0001-5694-3065"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter J. Haas","raw_affiliation_strings":["University of Massachusetts Amherst"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019048013","display_name":"Alexandra Meliou","orcid":"https://orcid.org/0000-0001-7346-6002"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexandra Meliou","raw_affiliation_strings":["University of Massachusetts Amherst"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5111578658"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":1.1251,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75409573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"17","issue":"5","first_page":"1146","last_page":"1158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.801735520362854},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.758027970790863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6684910655021667},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.42167460918426514},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.33615612983703613},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17634615302085876},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.0856790840625763}],"concepts":[{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.801735520362854},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.758027970790863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684910655021667},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.42167460918426514},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.33615612983703613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17634615302085876},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0856790840625763},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3641204.3641222","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3641204.3641222","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.75,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1534573459","https://openalex.org/W1561418801","https://openalex.org/W1977556410","https://openalex.org/W1978491979","https://openalex.org/W2008196645","https://openalex.org/W2009088535","https://openalex.org/W2029256120","https://openalex.org/W2047987216","https://openalex.org/W2095990060","https://openalex.org/W2157104063","https://openalex.org/W2250335649","https://openalex.org/W2460718840","https://openalex.org/W2494875324","https://openalex.org/W2752683636","https://openalex.org/W2765539780","https://openalex.org/W2962271942","https://openalex.org/W2963956318","https://openalex.org/W3037143235","https://openalex.org/W4220924308","https://openalex.org/W4226337305","https://openalex.org/W4287549149","https://openalex.org/W4300550233","https://openalex.org/W4380668096","https://openalex.org/W4383604826"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4245395944","https://openalex.org/W2143551613","https://openalex.org/W1979740464","https://openalex.org/W2143345456","https://openalex.org/W2138823233","https://openalex.org/W1789991335","https://openalex.org/W2562731034","https://openalex.org/W4315705795"],"abstract_inverted_index":{"A":[0],"package":[1,32,45,97],"query":[2,46],"returns":[3],"a":[4,12,62,73,92,115,121],"package---a":[5],"multiset":[6],"of":[7,31,105,117,123,131,150,183,225],"tuples---that":[8],"maximizes":[9],"or":[10,78],"minimizes":[11],"linear":[13,18],"objective":[14],"function":[15],"subject":[16],"to":[17,34,103,177],"constraints,":[19],"thereby":[20],"enabling":[21],"in-database":[22],"decision":[23],"support.":[24],"Prior":[25],"work":[26],"has":[27],"established":[28],"the":[29,41,68,80,132,139,147],"equivalence":[30],"queries":[33,98],"Integer":[35],"Linear":[36],"Programs":[37],"(ILPs)":[38],"and":[39,107,173,180,208,214,223],"developed":[40],"SketchRefine":[42],"algorithm":[43,50,94],"for":[44,95],"processing.":[47],"While":[48],"this":[49,86],"was":[51],"an":[52,128],"important":[53],"first":[54],"step":[55],"toward":[56],"supporting":[57],"prescriptive":[58],"analytics":[59],"scalably":[60],"inside":[61],"relational":[63],"database,":[64],"it":[65],"struggles":[66],"when":[67,79],"data":[69],"size":[70],"grows":[71],"beyond":[72],"few":[74],"hundred":[75],"million":[76],"tuples":[77,106,134,152],"constraints":[81],"become":[82],"very":[83,167],"tight.":[84],"In":[85],"paper,":[87],"we":[88],"present":[89],"Progressive":[90,112],"Shading,":[91],"novel":[93,159],"processing":[96],"that":[99,153,219],"can":[100,154,165,174],"scale":[101],"efficiently":[102],"billions":[104],"gracefully":[108],"handle":[109,166],"tight":[110],"constraints.":[111],"Shading":[113],"solves":[114],"sequence":[116],"optimization":[118,203],"problems":[119],"over":[120],"hierarchy":[122],"relations,":[124],"each":[125],"resulting":[126],"from":[127],"ever-finer":[129],"partitioning":[130,160,189],"original":[133,140],"into":[135],"homogeneous":[136],"groups":[137],"until":[138],"relation":[141],"is":[142],"obtained.":[143],"This":[144],"strategy":[145],"avoids":[146],"premature":[148],"discarding":[149],"high-quality":[151],"occur":[155],"with":[156,170,205],"SketchRefine.":[157],"Our":[158],"scheme,":[161],"Dynamic":[162],"Low":[163],"Variance,":[164],"large":[168],"relations":[169],"multiple":[171],"attributes":[172],"dynamically":[175],"adapt":[176],"both":[178],"concentrated":[179],"spread-out":[181],"sets":[182],"attribute":[184],"values,":[185],"provably":[186],"outperforming":[187],"traditional":[188],"schemes":[190],"such":[191],"as":[192],"kd-tree.":[193],"We":[194],"further":[195],"optimize":[196],"our":[197,201],"system":[198],"by":[199],"replacing":[200],"off-the-shelf":[202],"software":[204],"customized":[206],"ILP":[207],"LP":[209],"solvers,":[210],"called":[211],"Dual":[212,216],"Reducer":[213],"Parallel":[215],"Simplex":[217],"respectively,":[218],"are":[220],"highly":[221],"accurate":[222],"orders":[224],"magnitude":[226],"faster.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
