{"id":"https://openalex.org/W3032100144","doi":"https://doi.org/10.1145/3318464.3389701","title":"Architecting a Query Compiler for Spatial Workloads","display_name":"Architecting a Query Compiler for Spatial Workloads","publication_year":2020,"publication_date":"2020-05-29","ids":{"openalex":"https://openalex.org/W3032100144","doi":"https://doi.org/10.1145/3318464.3389701","mag":"3032100144"},"language":"en","primary_location":{"id":"doi:10.1145/3318464.3389701","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3318464.3389701","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3318464.3389701","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3318464.3389701","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054261003","display_name":"Ruby Y. Tahboub","orcid":null},"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":"Ruby Y. Tahboub","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003153354","display_name":"Tiark Rompf","orcid":"https://orcid.org/0000-0002-2068-3238"},"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":"Tiark Rompf","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.986,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75067832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2103","last_page":"2118"},"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":0.9976999759674072,"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":0.9926999807357788,"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/computer-science","display_name":"Computer science","score":0.8841565847396851},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.713675856590271},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5365424752235413},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.527989387512207},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.5128224492073059},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4644738435745239},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.46220090985298157},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.44308075308799744},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.430145263671875},{"id":"https://openalex.org/keywords/relational-database-management-system","display_name":"Relational database management system","score":0.4288422763347626},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3150986433029175},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2920147180557251},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2816830277442932},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.19509461522102356},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.17369818687438965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8841565847396851},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.713675856590271},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5365424752235413},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.527989387512207},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.5128224492073059},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4644738435745239},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.46220090985298157},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.44308075308799744},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.430145263671875},{"id":"https://openalex.org/C24394798","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database management system","level":3,"score":0.4288422763347626},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3150986433029175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2920147180557251},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2816830277442932},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.19509461522102356},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.17369818687438965}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3318464.3389701","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3318464.3389701","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3318464.3389701","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3318464.3389701","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3318464.3389701","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3318464.3389701","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1083356329","display_name":"SHF: Medium: Collaborative Research: From Volume to Velocity: Big Data Analytics in Near-Realtime","funder_award_id":"1564207","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3049642567","display_name":null,"funder_award_id":"1553471","funder_id":"https://openalex.org/F4320315254","funder_display_name":"Innovative Research Group Project of the National Natural Science Foundation of China"},{"id":"https://openalex.org/G3747613611","display_name":"CAREER: Generative Programming and DSLs for Safe Performance Critical Systems","funder_award_id":"1553471","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G632803094","display_name":"PROGRAM GENERATORS FOR EXASCALE AND BEYOND","funder_award_id":"DESC0018050","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G787217599","display_name":"FMitF: Track I: Symbolic Reasoning with Graph Networks","funder_award_id":"1918483","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320315254","display_name":"Innovative Research Group Project of the National Natural Science Foundation of China","ror":null},{"id":"https://openalex.org/F4320316785","display_name":"VMware","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3032100144.pdf","grobid_xml":"https://content.openalex.org/works/W3032100144.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1425731158","https://openalex.org/W1505133516","https://openalex.org/W1532096540","https://openalex.org/W1568832590","https://openalex.org/W1574212474","https://openalex.org/W1605782097","https://openalex.org/W1978338686","https://openalex.org/W1979919780","https://openalex.org/W1981420413","https://openalex.org/W2038412523","https://openalex.org/W2044105912","https://openalex.org/W2058958439","https://openalex.org/W2070262175","https://openalex.org/W2072847879","https://openalex.org/W2077436409","https://openalex.org/W2105079611","https://openalex.org/W2106771621","https://openalex.org/W2109024523","https://openalex.org/W2112491581","https://openalex.org/W2113250622","https://openalex.org/W2115583184","https://openalex.org/W2116436709","https://openalex.org/W2119368079","https://openalex.org/W2122315991","https://openalex.org/W2147578933","https://openalex.org/W2156000708","https://openalex.org/W2169628462","https://openalex.org/W2240938131","https://openalex.org/W2280230190","https://openalex.org/W2295338537","https://openalex.org/W2298276167","https://openalex.org/W2430414709","https://openalex.org/W2436533802","https://openalex.org/W2548100623","https://openalex.org/W2548613432","https://openalex.org/W2549003172","https://openalex.org/W2565733006","https://openalex.org/W2572804059","https://openalex.org/W2593167524","https://openalex.org/W2598454225","https://openalex.org/W2773027815","https://openalex.org/W2786178161","https://openalex.org/W2798416929","https://openalex.org/W2889201433","https://openalex.org/W2896241044","https://openalex.org/W2898896770","https://openalex.org/W2955127932","https://openalex.org/W2966177220","https://openalex.org/W2970326423","https://openalex.org/W3009296938","https://openalex.org/W3013901439","https://openalex.org/W3139669840","https://openalex.org/W4285719527","https://openalex.org/W7074037169"],"related_works":["https://openalex.org/W3125756434","https://openalex.org/W2152149667","https://openalex.org/W2556786504","https://openalex.org/W4244527061","https://openalex.org/W2096359267","https://openalex.org/W2392799717","https://openalex.org/W1003283331","https://openalex.org/W2406556739","https://openalex.org/W906795786","https://openalex.org/W4242370757"],"abstract_inverted_index":{"Modern":[0],"location-based":[1],"applications":[2],"rely":[3],"extensively":[4],"on":[5,40,153],"the":[6,34,71,125,171,178,184,208,212],"efficient":[7],"processing":[8,36,101],"of":[9,33,52,73,112,149,166,173,214],"spatial":[10,35,42,46,54,74,94,100,140,197,209],"data":[11,113,179,198],"and":[12,44,63,117,142,159,203,218,221],"queries.":[13],"Spatial":[14],"query":[15,89,95,130,150,187],"engines":[16],"are":[17,133],"commonly":[18],"engineered":[19],"as":[20],"an":[21],"extension":[22,210],"to":[23,69,77,139,163],"a":[24,28,93,146,189],"relational":[25,88,108,190,220],"database":[26],"or":[27],"cluster-computing":[29],"framework.":[30],"Large":[31],"parts":[32],"runtime":[37],"is":[38,76,97],"spent":[39],"evaluating":[41],"predicates":[43],"traversing":[45],"indexing":[47,115,201],"structures.":[48],"Typical":[49],"high-level":[50],"implementations":[51],"these":[53,167],"structures":[55,180],"incur":[56],"significant":[57],"interpretive":[58],"overhead,":[59],"which":[60],"increases":[61],"latency":[62],"lowers":[64],"throughput.":[65],"A":[66],"promising":[67],"idea":[68],"improve":[70],"performance":[72,213],"workloads":[75,109],"leverage":[78],"native":[79],"code":[80,175,217],"generation":[81,176],"techniques":[82,132,154],"that":[83,207],"have":[84],"become":[85],"popular":[86],"in":[87,110,193],"engines.":[90],"However,":[91],"architecting":[92],"compiler":[96],"challenging":[98],"since":[99],"has":[102],"fundamentally":[103],"different":[104],"execution":[105],"characteristics":[106],"from":[107,156],"terms":[111],"dimensionality,":[114],"structures,":[116,202],"predicate":[118],"evaluation.":[119],"In":[120],"this":[121,194],"paper,":[122],"we":[123,143],"discuss":[124],"underlying":[126],"reasons":[127],"why":[128],"standard":[129],"compilation":[131,151],"not":[134],"fully":[135],"effective":[136],"when":[137],"applied":[138],"workloads,":[141],"demonstrate":[144],"how":[145],"particular":[147],"style":[148],"based":[152],"borrowed":[155],"partial":[157],"evaluation":[158],"generative":[160],"programming":[161],"manages":[162],"avoid":[164],"most":[165],"difficulties":[168],"by":[169],"extending":[170],"scope":[172],"custom":[174],"into":[177],"layer.":[181],"We":[182,205],"extend":[183],"LB2":[185],"main-memory":[186],"compiler,":[188],"engine":[191],"developed":[192],"style,":[195],"with":[196],"types,":[199],"predicates,":[200],"operators.":[204],"show":[206],"matches":[211],"specialized":[215],"library":[216],"outperforms":[219],"map-reduce":[222],"extensions.":[223]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}