{"id":"https://openalex.org/W4312625213","doi":"https://doi.org/10.14778/3551793.3551825","title":"Turbo-charging SPJ query plans with learned physical join operator selections","display_name":"Turbo-charging SPJ query plans with learned physical join operator selections","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4312625213","doi":"https://doi.org/10.14778/3551793.3551825"},"language":"en","primary_location":{"id":"doi:10.14778/3551793.3551825","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3551793.3551825","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/A5063100868","display_name":"Axel Hertzschuch","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Axel Hertzschuch","raw_affiliation_strings":["TU Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034533320","display_name":"Claudio Hartmann","orcid":"https://orcid.org/0000-0002-5334-059X"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Claudio Hartmann","raw_affiliation_strings":["TU Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057703543","display_name":"Dirk Habich","orcid":"https://orcid.org/0000-0002-8671-5466"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Habich","raw_affiliation_strings":["TU Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063512642","display_name":"Wolfgang Lehner","orcid":"https://orcid.org/0000-0001-8107-2775"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Lehner","raw_affiliation_strings":["TU Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063100868"],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":null,"apc_paid":null,"fwci":0.7954,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77282618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":"11","first_page":"2706","last_page":"2718"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9948999881744385,"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":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8189113736152649},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.740295946598053},{"id":"https://openalex.org/keywords/query-plan","display_name":"Query plan","score":0.6254264712333679},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.6059192419052124},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.559427797794342},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5468721389770508},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4537329077720642},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.4208901524543762},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3916713297367096},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36169230937957764},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33656802773475647},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.3273041248321533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24673286080360413},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.17216530442237854},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.16793861985206604},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15565526485443115},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.12015944719314575},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10329580307006836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8189113736152649},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.740295946598053},{"id":"https://openalex.org/C2779729312","wikidata":"https://www.wikidata.org/wiki/Q784232","display_name":"Query plan","level":5,"score":0.6254264712333679},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.6059192419052124},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.559427797794342},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5468721389770508},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4537329077720642},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.4208901524543762},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3916713297367096},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36169230937957764},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33656802773475647},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.3273041248321533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24673286080360413},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.17216530442237854},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.16793861985206604},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15565526485443115},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.12015944719314575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10329580307006836},{"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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3551793.3551825","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3551793.3551825","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":26,"referenced_works":["https://openalex.org/W1991271936","https://openalex.org/W2021850646","https://openalex.org/W2022858489","https://openalex.org/W2064174652","https://openalex.org/W2110557355","https://openalex.org/W2120108467","https://openalex.org/W2149516580","https://openalex.org/W2151310484","https://openalex.org/W2153160273","https://openalex.org/W2203361072","https://openalex.org/W2283004062","https://openalex.org/W2396309311","https://openalex.org/W2755385361","https://openalex.org/W2790625403","https://openalex.org/W2922302645","https://openalex.org/W2946026089","https://openalex.org/W2950833175","https://openalex.org/W3013555795","https://openalex.org/W3013947511","https://openalex.org/W3097225903","https://openalex.org/W3099158806","https://openalex.org/W3173932439","https://openalex.org/W3176153696","https://openalex.org/W3177390287","https://openalex.org/W3197977787","https://openalex.org/W4243315762"],"related_works":["https://openalex.org/W4361194359","https://openalex.org/W2006459955","https://openalex.org/W2955368753","https://openalex.org/W1977331029","https://openalex.org/W2941854747","https://openalex.org/W3125756434","https://openalex.org/W203907944","https://openalex.org/W1608254253","https://openalex.org/W4386051213","https://openalex.org/W2992414350"],"abstract_inverted_index":{"The":[0],"optimization":[1],"of":[2,40,77,86,185],"select-project-join":[3],"(SPJ)":[4],"queries":[5],"entails":[6],"two":[7,165],"major":[8],"challenges:":[9],"(i)":[10],"finding":[11],"a":[12,41,98,113,139,182],"good":[13,42],"join":[14,22,27,31,43,53,69,122],"order":[15],"and":[16,74,116,132],"(ii)":[17],"selecting":[18],"the":[19,29,38,51,78,83],"best-fitting":[20],"physical":[21,52,68],"operator":[23,54,70,88,118,135],"for":[24,57,103,120],"each":[25],"single":[26],"within":[28],"chosen":[30],"order.":[32],"Previous":[33],"work":[34],"mainly":[35],"focuses":[36],"on":[37,125],"computation":[39],"order,":[44],"but":[45],"leaves":[46],"open":[47],"to":[48,152,187],"which":[49],"extent":[50],"selection":[55,71],"accounts":[56],"plan":[58],"quality.":[59],"Our":[60],"analysis":[61],"using":[62],"different":[63],"query":[64,80,106,127,178],"optimizers":[65,81,107,173],"indicates":[66],"that":[67,75,170],"is":[72],"crucial":[73],"none":[76],"investigated":[79],"reaches":[82],"full":[84],"potential":[85],"optimal":[87,134],"selections.":[89],"To":[90,129],"unlock":[91],"this":[92,109],"potential,":[93],"we":[94,137,168],"propose":[95],"TONIC":[96,111,155,175],",":[97],"novel":[99],"cardinality":[100],"estimation-free":[101],"extension":[102],"generic":[104],"SPJ":[105],"in":[108],"paper.":[110],"follows":[112],"learning-based":[114],"approach":[115],"revises":[117],"decisions":[119,159],"arbitrary":[121],"paths":[123],"based":[124],"learned":[126],"feedback.":[128],"continuously":[130],"capture":[131],"reuse":[133],"selections,":[136],"introduce":[138],"lightweight":[140],"yet":[141],"powerful":[142],"Query":[143],"Execution":[144],"Plan":[145],"Synopsis":[146],"(":[147],"QEP-S":[148],").":[149],"In":[150],"comparison":[151],"related":[153],"work,":[154],"enables":[156],"transparent":[157],"planning":[158],"with":[160,174,181],"consistent":[161],"performance":[162],"improvements.":[163],"Using":[164],"real-life":[166],"benchmarks,":[167],"demonstrate":[169],"extending":[171],"existing":[172],"substantially":[176],"reduces":[177],"response":[179],"times":[180],"cumulative":[183],"speedup":[184],"up":[186],"2.8x.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"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"}