{"id":"https://openalex.org/W2166855749","doi":"https://doi.org/10.1145/1007568.1007593","title":"Rank-aware query optimization","display_name":"Rank-aware query optimization","publication_year":2004,"publication_date":"2004-06-13","ids":{"openalex":"https://openalex.org/W2166855749","doi":"https://doi.org/10.1145/1007568.1007593","mag":"2166855749"},"language":"en","primary_location":{"id":"doi:10.1145/1007568.1007593","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1007568.1007593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 ACM SIGMOD international conference on Management of data","raw_type":"proceedings-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/A5000141065","display_name":"Ihab F. Ilyas","orcid":"https://orcid.org/0000-0001-9052-9714"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ihab F. Ilyas","raw_affiliation_strings":["Purdue University, West Lafayette, Indiana"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, Indiana","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105778361","display_name":"Rahul Shah","orcid":"https://orcid.org/0000-0002-0605-5681"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Shah","raw_affiliation_strings":["Purdue University, West Lafayette, Indiana"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, Indiana","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000123743","display_name":"Walid G. Aref","orcid":"https://orcid.org/0000-0001-8169-7775"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walid G. Aref","raw_affiliation_strings":["Purdue University, West Lafayette, Indiana"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, Indiana","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003340402","display_name":"Jeffrey Scott Vitter","orcid":"https://orcid.org/0000-0001-7970-6118"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Scott Vitter","raw_affiliation_strings":["Purdue University, West Lafayette, Indiana"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, Indiana","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089912733","display_name":"Ahmed K. Elmagarmid","orcid":"https://orcid.org/0000-0002-0044-458X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed K. Elmagarmid","raw_affiliation_strings":["Purdue University, West Lafayette, Indiana"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, Indiana","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000141065"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":13.7133,"has_fulltext":false,"cited_by_count":119,"citation_normalized_percentile":{"value":0.99331523,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"203","last_page":"214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9947999715805054,"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/query-optimization","display_name":"Query optimization","score":0.7608451843261719},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.710903525352478},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.67738938331604},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6286801695823669},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.5697076916694641},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.5562470555305481},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4920591711997986},{"id":"https://openalex.org/keywords/query-plan","display_name":"Query plan","score":0.4613744020462036},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.4580378532409668},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4401938319206238},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43887466192245483},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.43501320481300354},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.432176411151886},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4291872978210449},{"id":"https://openalex.org/keywords/online-aggregation","display_name":"Online aggregation","score":0.41115474700927734},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.31587404012680054},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.2646676301956177},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.21542343497276306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17327222228050232}],"concepts":[{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.7608451843261719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.710903525352478},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.67738938331604},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6286801695823669},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.5697076916694641},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.5562470555305481},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4920591711997986},{"id":"https://openalex.org/C2779729312","wikidata":"https://www.wikidata.org/wiki/Q784232","display_name":"Query plan","level":5,"score":0.4613744020462036},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.4580378532409668},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4401938319206238},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43887466192245483},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.43501320481300354},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.432176411151886},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4291872978210449},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.41115474700927734},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.31587404012680054},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.2646676301956177},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.21542343497276306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17327222228050232},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/1007568.1007593","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1007568.1007593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 ACM SIGMOD international conference on Management of data","raw_type":"proceedings-article"},{"id":"pmh:oai:docs.lib.purdue.edu:cstech-2585","is_oa":false,"landing_page_url":"https://docs.lib.purdue.edu/cstech/1586","pdf_url":null,"source":{"id":"https://openalex.org/S4377196310","display_name":"Purdue e-Pubs (Purdue University System)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801333002","host_organization_name":"Purdue University System","host_organization_lineage":["https://openalex.org/I2801333002"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Department of Computer Science Technical Reports","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.220.198","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://faculty.cse.tamu.edu/jsv/Papers/ISA04.rankawarequery.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.534.1500","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.534.1500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.cerias.purdue.edu/assets/pdf/bibtex_archive/p203-ilyas.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.87.1366","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.1366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uwaterloo.ca/~ilyas/papers/ilyassigmod04.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W65091138","https://openalex.org/W602980269","https://openalex.org/W1495105959","https://openalex.org/W1521226446","https://openalex.org/W1573996261","https://openalex.org/W1600580971","https://openalex.org/W1850437073","https://openalex.org/W2020147322","https://openalex.org/W2020919487","https://openalex.org/W2033368934","https://openalex.org/W2051834357","https://openalex.org/W2083039049","https://openalex.org/W2086174602","https://openalex.org/W2099797738","https://openalex.org/W2109149785","https://openalex.org/W2119806435","https://openalex.org/W2128756912","https://openalex.org/W2133900260","https://openalex.org/W2134195632","https://openalex.org/W2134206624","https://openalex.org/W2136195851","https://openalex.org/W2141649964","https://openalex.org/W2143682328","https://openalex.org/W2148322068","https://openalex.org/W2148942721","https://openalex.org/W2151826520","https://openalex.org/W2153329411","https://openalex.org/W2157734198","https://openalex.org/W2158141386","https://openalex.org/W2164520297","https://openalex.org/W2221389368","https://openalex.org/W2666600683","https://openalex.org/W4206237997","https://openalex.org/W4229903866","https://openalex.org/W4230983477","https://openalex.org/W6629505283"],"related_works":["https://openalex.org/W2554271401","https://openalex.org/W3125756434","https://openalex.org/W203907944","https://openalex.org/W2941854747","https://openalex.org/W2992414350","https://openalex.org/W906795786","https://openalex.org/W2469357693","https://openalex.org/W2413368787","https://openalex.org/W2401447141","https://openalex.org/W1523452948"],"abstract_inverted_index":{"Ranking":[0],"is":[1,71,141,161],"an":[2,90,186],"important":[3],"property":[4,92],"that":[5,60,93],"needs":[6],"to":[7,163],"be":[8],"fully":[9,61],"supported":[10],"by":[11,180],"current":[12],"relational":[13,66],"query":[14,19,50,57,67,99,172,183],"engines.":[15,68,174],"Recently,":[16],"several":[17],"rank-join":[18,63,107,134,168],"operators":[20,30,43,64,108,169],"have":[21,44],"been":[22],"proposed":[23,204],"based":[24,72],"on":[25,48,73,110],"rank":[26,32,153],"aggregation":[27,154],"algorithms.":[28,155],"Rank-join":[29],"progressively":[31],"the":[33,38,75,95,112,125,130,142,147,164,182,194,200,203],"join":[34,39,103],"results":[35],"while":[36],"performing":[37],"operation.":[40],"The":[41,69,191],"new":[42],"a":[45,55,120,133],"direct":[46],"impact":[47],"traditional":[49,102],"processing":[51,173],"and":[52,84,128,199],"optimization.We":[53],"introduce":[54,119],"rank-aware":[56,98],"optimization":[58],"framework":[59,70,179,198],"integrates":[62],"into":[65],"extending":[74],"System":[76],"R":[77],"dynamic":[78],"programming":[79],"algorithm":[80],"in":[81,145,170],"both":[82],"enumeration":[83],"pruning.":[85],"We":[86,118,175],"define":[87],"ranking":[88,157],"as":[89],"interesting":[91],"triggers":[94],"generation":[96],"of":[97,115,132,167,185,196,202],"plans.":[100],"Unlike":[101],"operators,":[104],"optimizing":[105],"for":[106,123,151],"depends":[109],"estimating":[111,124,146],"input":[113,126,149],"cardinality":[114],"these":[116],"operators.":[117],"probabilistic":[121],"model":[122],"cardinality,":[127],"hence":[129],"cost":[131],"operator.":[135],"To":[136],"our":[137,178,197],"knowledge,":[138],"this":[139],"paper":[140],"first":[143],"effort":[144],"needed":[148],"size":[150],"optimal":[152],"Costing":[156],"plans,":[158],"although":[159],"challenging,":[160],"key":[162],"full":[165],"integration":[166],"real-world":[171],"experimentally":[176],"evaluate":[177],"modifying":[181],"optimizer":[184],"open-source":[187],"database":[188],"management":[189],"system.":[190],"experiments":[192],"show":[193],"validity":[195],"accuracy":[201],"estimation":[205],"model.":[206]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
