The LDBC Social Network Benchmark

The Linked Data Benchmark Council's Social Network Benchmark (LDBC SNB) is an effort intended to test various functionalities of systems used for graph-like data management. For this, LDBC SNB uses the recognizable scenario of operating a social network, characterized by its graph-shaped data....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:arXiv.org 2024-09
Hauptverfasser: Angles, Renzo, Antal, János Benjamin, Averbuch, Alex, Birler, Altan, Boncz, Peter, Búr, Márton, Orri Erling, Gubichev, Andrey, Haprian, Vlad, Kaufmann, Moritz, Josep Lluís Larriba Pey, Martínez, Norbert, Marton, József, Paradies, Marcus, Minh-Duc Pham, Prat-Pérez, Arnau, Püroja, David, Spasić, Mirko, Steer, Benjamin A, Szakállas, Dávid, Szárnyas, Gábor, Waudby, Jack, Wu, Mingxi, Zhang, Yuchen
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title arXiv.org
container_volume
creator Angles, Renzo
Antal, János Benjamin
Averbuch, Alex
Birler, Altan
Boncz, Peter
Búr, Márton
Orri Erling
Gubichev, Andrey
Haprian, Vlad
Kaufmann, Moritz
Josep Lluís Larriba Pey
Martínez, Norbert
Marton, József
Paradies, Marcus
Minh-Duc Pham
Prat-Pérez, Arnau
Püroja, David
Spasić, Mirko
Steer, Benjamin A
Szakállas, Dávid
Szárnyas, Gábor
Waudby, Jack
Wu, Mingxi
Zhang, Yuchen
description The Linked Data Benchmark Council's Social Network Benchmark (LDBC SNB) is an effort intended to test various functionalities of systems used for graph-like data management. For this, LDBC SNB uses the recognizable scenario of operating a social network, characterized by its graph-shaped data. LDBC SNB consists of two workloads that focus on different functionalities: the Interactive workload (interactive transactional queries) and the Business Intelligence workload (analytical queries). This document contains the definition of both workloads. This includes a detailed explanation of the data used in the LDBC SNB, a detailed description for all queries, and instructions on how to generate the data and run the benchmark with the provided software.
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2334887522</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2334887522</sourcerecordid><originalsourceid>FETCH-proquest_journals_23348875223</originalsourceid><addsrcrecordid>eNpjYuA0MjY21LUwMTLiYOAtLs4yMDAwMjM3MjU15mRQDMlIVfBxcXJWCM5PzkzMUfBLLSnPL8pWcErNS87ITSzK5mFgTUvMKU7lhdLcDMpuriHOHroFRfmFpanFJfFZ-aVFeUCpeKA9JhYW5qZGRsbEqQIAtqsshA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2334887522</pqid></control><display><type>article</type><title>The LDBC Social Network Benchmark</title><source>Freely Accessible Journals</source><creator>Angles, Renzo ; Antal, János Benjamin ; Averbuch, Alex ; Birler, Altan ; Boncz, Peter ; Búr, Márton ; Orri Erling ; Gubichev, Andrey ; Haprian, Vlad ; Kaufmann, Moritz ; Josep Lluís Larriba Pey ; Martínez, Norbert ; Marton, József ; Paradies, Marcus ; Minh-Duc Pham ; Prat-Pérez, Arnau ; Püroja, David ; Spasić, Mirko ; Steer, Benjamin A ; Szakállas, Dávid ; Szárnyas, Gábor ; Waudby, Jack ; Wu, Mingxi ; Zhang, Yuchen</creator><creatorcontrib>Angles, Renzo ; Antal, János Benjamin ; Averbuch, Alex ; Birler, Altan ; Boncz, Peter ; Búr, Márton ; Orri Erling ; Gubichev, Andrey ; Haprian, Vlad ; Kaufmann, Moritz ; Josep Lluís Larriba Pey ; Martínez, Norbert ; Marton, József ; Paradies, Marcus ; Minh-Duc Pham ; Prat-Pérez, Arnau ; Püroja, David ; Spasić, Mirko ; Steer, Benjamin A ; Szakállas, Dávid ; Szárnyas, Gábor ; Waudby, Jack ; Wu, Mingxi ; Zhang, Yuchen</creatorcontrib><description>The Linked Data Benchmark Council's Social Network Benchmark (LDBC SNB) is an effort intended to test various functionalities of systems used for graph-like data management. For this, LDBC SNB uses the recognizable scenario of operating a social network, characterized by its graph-shaped data. LDBC SNB consists of two workloads that focus on different functionalities: the Interactive workload (interactive transactional queries) and the Business Intelligence workload (analytical queries). This document contains the definition of both workloads. This includes a detailed explanation of the data used in the LDBC SNB, a detailed description for all queries, and instructions on how to generate the data and run the benchmark with the provided software.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Benchmarks ; Business intelligence ; Data management ; Information management ; Intelligence (information) ; Queries ; Social networks ; Workload ; Workloads</subject><ispartof>arXiv.org, 2024-09</ispartof><rights>2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>781,785</link.rule.ids></links><search><creatorcontrib>Angles, Renzo</creatorcontrib><creatorcontrib>Antal, János Benjamin</creatorcontrib><creatorcontrib>Averbuch, Alex</creatorcontrib><creatorcontrib>Birler, Altan</creatorcontrib><creatorcontrib>Boncz, Peter</creatorcontrib><creatorcontrib>Búr, Márton</creatorcontrib><creatorcontrib>Orri Erling</creatorcontrib><creatorcontrib>Gubichev, Andrey</creatorcontrib><creatorcontrib>Haprian, Vlad</creatorcontrib><creatorcontrib>Kaufmann, Moritz</creatorcontrib><creatorcontrib>Josep Lluís Larriba Pey</creatorcontrib><creatorcontrib>Martínez, Norbert</creatorcontrib><creatorcontrib>Marton, József</creatorcontrib><creatorcontrib>Paradies, Marcus</creatorcontrib><creatorcontrib>Minh-Duc Pham</creatorcontrib><creatorcontrib>Prat-Pérez, Arnau</creatorcontrib><creatorcontrib>Püroja, David</creatorcontrib><creatorcontrib>Spasić, Mirko</creatorcontrib><creatorcontrib>Steer, Benjamin A</creatorcontrib><creatorcontrib>Szakállas, Dávid</creatorcontrib><creatorcontrib>Szárnyas, Gábor</creatorcontrib><creatorcontrib>Waudby, Jack</creatorcontrib><creatorcontrib>Wu, Mingxi</creatorcontrib><creatorcontrib>Zhang, Yuchen</creatorcontrib><title>The LDBC Social Network Benchmark</title><title>arXiv.org</title><description>The Linked Data Benchmark Council's Social Network Benchmark (LDBC SNB) is an effort intended to test various functionalities of systems used for graph-like data management. For this, LDBC SNB uses the recognizable scenario of operating a social network, characterized by its graph-shaped data. LDBC SNB consists of two workloads that focus on different functionalities: the Interactive workload (interactive transactional queries) and the Business Intelligence workload (analytical queries). This document contains the definition of both workloads. This includes a detailed explanation of the data used in the LDBC SNB, a detailed description for all queries, and instructions on how to generate the data and run the benchmark with the provided software.</description><subject>Benchmarks</subject><subject>Business intelligence</subject><subject>Data management</subject><subject>Information management</subject><subject>Intelligence (information)</subject><subject>Queries</subject><subject>Social networks</subject><subject>Workload</subject><subject>Workloads</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpjYuA0MjY21LUwMTLiYOAtLs4yMDAwMjM3MjU15mRQDMlIVfBxcXJWCM5PzkzMUfBLLSnPL8pWcErNS87ITSzK5mFgTUvMKU7lhdLcDMpuriHOHroFRfmFpanFJfFZ-aVFeUCpeKA9JhYW5qZGRsbEqQIAtqsshA</recordid><startdate>20240907</startdate><enddate>20240907</enddate><creator>Angles, Renzo</creator><creator>Antal, János Benjamin</creator><creator>Averbuch, Alex</creator><creator>Birler, Altan</creator><creator>Boncz, Peter</creator><creator>Búr, Márton</creator><creator>Orri Erling</creator><creator>Gubichev, Andrey</creator><creator>Haprian, Vlad</creator><creator>Kaufmann, Moritz</creator><creator>Josep Lluís Larriba Pey</creator><creator>Martínez, Norbert</creator><creator>Marton, József</creator><creator>Paradies, Marcus</creator><creator>Minh-Duc Pham</creator><creator>Prat-Pérez, Arnau</creator><creator>Püroja, David</creator><creator>Spasić, Mirko</creator><creator>Steer, Benjamin A</creator><creator>Szakállas, Dávid</creator><creator>Szárnyas, Gábor</creator><creator>Waudby, Jack</creator><creator>Wu, Mingxi</creator><creator>Zhang, Yuchen</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20240907</creationdate><title>The LDBC Social Network Benchmark</title><author>Angles, Renzo ; Antal, János Benjamin ; Averbuch, Alex ; Birler, Altan ; Boncz, Peter ; Búr, Márton ; Orri Erling ; Gubichev, Andrey ; Haprian, Vlad ; Kaufmann, Moritz ; Josep Lluís Larriba Pey ; Martínez, Norbert ; Marton, József ; Paradies, Marcus ; Minh-Duc Pham ; Prat-Pérez, Arnau ; Püroja, David ; Spasić, Mirko ; Steer, Benjamin A ; Szakállas, Dávid ; Szárnyas, Gábor ; Waudby, Jack ; Wu, Mingxi ; Zhang, Yuchen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_23348875223</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Benchmarks</topic><topic>Business intelligence</topic><topic>Data management</topic><topic>Information management</topic><topic>Intelligence (information)</topic><topic>Queries</topic><topic>Social networks</topic><topic>Workload</topic><topic>Workloads</topic><toplevel>online_resources</toplevel><creatorcontrib>Angles, Renzo</creatorcontrib><creatorcontrib>Antal, János Benjamin</creatorcontrib><creatorcontrib>Averbuch, Alex</creatorcontrib><creatorcontrib>Birler, Altan</creatorcontrib><creatorcontrib>Boncz, Peter</creatorcontrib><creatorcontrib>Búr, Márton</creatorcontrib><creatorcontrib>Orri Erling</creatorcontrib><creatorcontrib>Gubichev, Andrey</creatorcontrib><creatorcontrib>Haprian, Vlad</creatorcontrib><creatorcontrib>Kaufmann, Moritz</creatorcontrib><creatorcontrib>Josep Lluís Larriba Pey</creatorcontrib><creatorcontrib>Martínez, Norbert</creatorcontrib><creatorcontrib>Marton, József</creatorcontrib><creatorcontrib>Paradies, Marcus</creatorcontrib><creatorcontrib>Minh-Duc Pham</creatorcontrib><creatorcontrib>Prat-Pérez, Arnau</creatorcontrib><creatorcontrib>Püroja, David</creatorcontrib><creatorcontrib>Spasić, Mirko</creatorcontrib><creatorcontrib>Steer, Benjamin A</creatorcontrib><creatorcontrib>Szakállas, Dávid</creatorcontrib><creatorcontrib>Szárnyas, Gábor</creatorcontrib><creatorcontrib>Waudby, Jack</creatorcontrib><creatorcontrib>Wu, Mingxi</creatorcontrib><creatorcontrib>Zhang, Yuchen</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Angles, Renzo</au><au>Antal, János Benjamin</au><au>Averbuch, Alex</au><au>Birler, Altan</au><au>Boncz, Peter</au><au>Búr, Márton</au><au>Orri Erling</au><au>Gubichev, Andrey</au><au>Haprian, Vlad</au><au>Kaufmann, Moritz</au><au>Josep Lluís Larriba Pey</au><au>Martínez, Norbert</au><au>Marton, József</au><au>Paradies, Marcus</au><au>Minh-Duc Pham</au><au>Prat-Pérez, Arnau</au><au>Püroja, David</au><au>Spasić, Mirko</au><au>Steer, Benjamin A</au><au>Szakállas, Dávid</au><au>Szárnyas, Gábor</au><au>Waudby, Jack</au><au>Wu, Mingxi</au><au>Zhang, Yuchen</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>The LDBC Social Network Benchmark</atitle><jtitle>arXiv.org</jtitle><date>2024-09-07</date><risdate>2024</risdate><eissn>2331-8422</eissn><abstract>The Linked Data Benchmark Council's Social Network Benchmark (LDBC SNB) is an effort intended to test various functionalities of systems used for graph-like data management. For this, LDBC SNB uses the recognizable scenario of operating a social network, characterized by its graph-shaped data. LDBC SNB consists of two workloads that focus on different functionalities: the Interactive workload (interactive transactional queries) and the Business Intelligence workload (analytical queries). This document contains the definition of both workloads. This includes a detailed explanation of the data used in the LDBC SNB, a detailed description for all queries, and instructions on how to generate the data and run the benchmark with the provided software.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier EISSN: 2331-8422
ispartof arXiv.org, 2024-09
issn 2331-8422
language eng
recordid cdi_proquest_journals_2334887522
source Freely Accessible Journals
subjects Benchmarks
Business intelligence
Data management
Information management
Intelligence (information)
Queries
Social networks
Workload
Workloads
title The LDBC Social Network Benchmark
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-15T19%3A06%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=document&rft.atitle=The%20LDBC%20Social%20Network%20Benchmark&rft.jtitle=arXiv.org&rft.au=Angles,%20Renzo&rft.date=2024-09-07&rft.eissn=2331-8422&rft_id=info:doi/&rft_dat=%3Cproquest%3E2334887522%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2334887522&rft_id=info:pmid/&rfr_iscdi=true