{"id":"https://openalex.org/W3193493045","doi":"https://doi.org/10.14778/3510397.3510400","title":"Making RDBMSs efficient on graph workloads through predefined joins","display_name":"Making RDBMSs efficient on graph workloads through predefined joins","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3193493045","doi":"https://doi.org/10.14778/3510397.3510400","mag":"3193493045"},"language":"en","primary_location":{"id":"doi:10.14778/3510397.3510400","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3510397.3510400","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/A5079898328","display_name":"Guodong Jin","orcid":"https://orcid.org/0000-0002-8855-3624"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guodong Jin","raw_affiliation_strings":["Renmin University of China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023876520","display_name":"Semih Saliho\u011flu","orcid":"https://orcid.org/0000-0002-8112-4501"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Semih Salihoglu","raw_affiliation_strings":["University of Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079898328"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.8283,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72438764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"15","issue":"5","first_page":"1011","last_page":"1023"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9998999834060669,"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/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"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":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.958683431148529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.90690016746521},{"id":"https://openalex.org/keywords/relational-database-management-system","display_name":"Relational database management system","score":0.6420610547065735},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6040018796920776},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.5157340168952942},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49974966049194336},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4256763458251953},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.399664044380188},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.3670744001865387},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34729647636413574},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3401978611946106},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1883203685283661}],"concepts":[{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.958683431148529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.90690016746521},{"id":"https://openalex.org/C24394798","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database management system","level":3,"score":0.6420610547065735},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6040018796920776},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.5157340168952942},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49974966049194336},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4256763458251953},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.399664044380188},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.3670744001865387},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34729647636413574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3401978611946106},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1883203685283661},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3510397.3510400","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3510397.3510400","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1565494300","https://openalex.org/W1631344868","https://openalex.org/W1993786250","https://openalex.org/W2029098176","https://openalex.org/W2033523472","https://openalex.org/W2050465692","https://openalex.org/W2064619860","https://openalex.org/W2067184662","https://openalex.org/W2087796842","https://openalex.org/W2116436709","https://openalex.org/W2139875914","https://openalex.org/W2140646908","https://openalex.org/W2146709231","https://openalex.org/W2152191782","https://openalex.org/W2157734198","https://openalex.org/W2158237121","https://openalex.org/W2165467455","https://openalex.org/W2259857913","https://openalex.org/W2295596515","https://openalex.org/W2396309311","https://openalex.org/W2399232213","https://openalex.org/W2399656549","https://openalex.org/W2579169324","https://openalex.org/W2612186437","https://openalex.org/W2613226836","https://openalex.org/W2614343469","https://openalex.org/W2621934124","https://openalex.org/W2792498171","https://openalex.org/W2794610196","https://openalex.org/W2798762352","https://openalex.org/W2948762444","https://openalex.org/W2949054050","https://openalex.org/W2970204999","https://openalex.org/W2992496917","https://openalex.org/W3000656992","https://openalex.org/W3003427932","https://openalex.org/W3014427657","https://openalex.org/W3032797161","https://openalex.org/W3094660140","https://openalex.org/W3100284210","https://openalex.org/W3105298605","https://openalex.org/W3152093102","https://openalex.org/W3166524313","https://openalex.org/W3176018299","https://openalex.org/W4301500808"],"related_works":["https://openalex.org/W2098812463","https://openalex.org/W2107572660","https://openalex.org/W280063590","https://openalex.org/W2015372451","https://openalex.org/W1517661396","https://openalex.org/W2093148164","https://openalex.org/W1509194353","https://openalex.org/W2104150336","https://openalex.org/W272451025","https://openalex.org/W3193493045"],"abstract_inverted_index":{"Joins":[0],"in":[1,18,37,125,130,148],"native":[2],"graph":[3,52,273],"database":[4],"management":[5],"systems":[6],"(GDBMSs)":[7],"are":[8,16,123],"predefined":[9,43,114,192],"to":[10,41,115,139,151,158,206],"the":[11,116,118,136,141,176,210,245,261],"system":[12,212],"as":[13,24],"edges,":[14],"which":[15,265],"indexed":[17],"adjacency":[19],"list":[20],"indices":[21],"and":[22,29,53,56,64,80,128,183,195,208,238,272,286],"serve":[23],"pointers.":[25],"This":[26],"contrasts":[27],"with":[28,199,242,275,282],"can":[30,155,189,221],"be":[31,156,222],"more":[32,236],"performant":[33],"than":[34],"value-based":[35,178,268],"joins":[36,44,68,96,150,179,193],"RDBMSs.":[38],"Existing":[39],"approaches":[40,173],"integrate":[42],"into":[45],"RDBMSs":[46],"adopt":[47],"a":[48,59,71,108,249,283],"strict":[49],"separation":[50],"of":[51,73,120,134,180,252,263],"relational":[54,271],"data":[55],"processors,":[57],"where":[58],"graph-specific":[60],"processor":[61],"uses":[62,266],"left-deep":[63],"index":[65,138],"nested":[66],"loop":[67],"(INLJ)":[69],"for":[70],"subset":[72],"joins.":[74],"In":[75,103],"this":[76,83,104],"paper":[77],"we":[78,144],"study":[79],"experimentally":[81],"evaluate":[82],"technique's":[84],"performance":[85,262],"against":[86],"an":[87,181],"alternative":[88,105,204],"technique":[89],"that":[90,97,154,188,217,257],"is":[91,113,235,239],"based":[92],"on":[93,270],"using":[94,135,160,185],"hash":[95,149],"use":[98,145],"system-level":[99],"row":[100],"IDs":[101],"(RIDs).":[102],"approach,":[106],"when":[107,225],"join":[109,142],"between":[110],"two":[111,172],"tables":[112,127],"system,":[117],"RIDs":[119],"joining":[121],"tuples":[122],"materialized":[124,186],"extended":[126],"optionally":[129],"RID":[131,137],"indices.":[132],"Instead":[133],"perform":[140],"directly,":[143],"it":[146,280],"primarily":[147],"generate":[152],"filters":[153],"passed":[157],"scans":[159],"sideways":[161],"information":[162],"passing":[163],"(sip),":[164],"ensuring":[165],"sequential":[166],"scans.":[167,200],"We":[168,201,254],"further":[169,255],"compare":[170],"these":[171],"against:":[174],"(i)":[175],"default":[177,267],"RDBMS;":[182],"(ii)":[184],"views":[187],"avoid":[190],"evaluating":[191],"completely":[194],"instead":[196],"replace":[197],"them":[198],"integrated":[202],"our":[203],"approach":[205,220,234,247],"DuckDB":[207],"call":[209],"resulting":[211],"GRainDB.":[213],"Our":[214],"evaluation":[215],"demonstrates":[216],"existing":[218],"INJL-based":[219],"very":[223,229],"efficient":[224],"entity":[226],"relations":[227],"contain":[228],"selective":[230],"filters.":[231],"However,":[232],"GRainDB's":[233],"robust":[237],"either":[240],"competitive":[241,281],"or":[243],"outperforms":[244],"INLJ-based":[246],"across":[248],"wide":[250],"range":[251],"settings.":[253],"demonstrate":[256],"GRainDB":[258],"far":[259],"improves":[260],"DuckDB,":[264],"joins,":[269,278],"workloads":[274],"large":[276],"many-to-many":[277],"making":[279],"state-of-the-art":[284],"GDBMS,":[285],"incurs":[287],"no":[288],"major":[289],"overheads":[290],"otherwise.":[291]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
