Relevant bibliographies by topics / PostgreSQL

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'PostgreSQL'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 June 2025

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Journal articles on the topic "PostgreSQL"

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Gkamas, Theodosios, Vasileios Karaiskos, and Sotirios Kontogiannis. "Performance Evaluation of Distributed Database Strategies Using Docker as a Service for Industrial IoT Data: Application to Industry 4.0." Information 13, no. 4 (2022): 190. http://dx.doi.org/10.3390/info13040190.

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Databases are an integral part of almost every application nowadays. For example, applications using Internet of Things (IoT) sensory data, such as in Industry 4.0, are a classic example of an organized storage system. Due to its enormous size, it may be stored in the cloud. This paper presents the authors’ proposition for cloudcentric sensory measurements and measurements acquisition. Then, it focuses on evaluating industrial cloud storage engines for sensory functions, experimenting with three open-source types of distributed Database Management Systems (DBMS); MongoDB and PostgreSQL, with two forms of PostgreSQL schemes (Javascript Object Notation (JSON)-based and relational), against their respective horizontal scaling strategies. Several experimental cases have been performed to measure database queries’ response time, achieved throughput, and corresponding failures. Three distinct scenarios have been thoroughly tested, the most common but widely used: (i) data insertions, (ii) select/find queries, and (iii) queries related to aggregate correlation functions. The experimental results concluded that PostgreSQL with JSON achieves a 5–57% better response than MongoDB for the insert queries (cases of native, two, and four shards implementations), while, on the contrary, MongoDB achieved 56–91% higher throughput than PostgreSQL for the same set up. Furthermore, for the data insertion experimental cases of six and eight shards, MongoDB performed 13–20% more than Postgres in response time, achieving × 2 times higher throughput. Relational PostgreSQL was × 2 times faster than MongoDB in its standalone implementation for selection queries. At the same time, MongoDB achieved 19–31% faster responses and 44–63% higher throughput than PostgreSQL in the four tested sharding subcases (two, four, six, eight shards), accordingly. Finally, the relational PostgreSQL outperformed MongoDB and PostgreSQL JSON significantly in all correlation function experiments, with performance improvements from MongoDB, closing the gap with PostgreSQL towards minimizing response time to 26% and 3% for six and eight shards, respectively, and achieving significant gains towards average achieved throughput.
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Stěhule, Pavel. "PostgreSQL 8.3." Geoinformatics FCE CTU 2 (December 19, 2007): 91–100. http://dx.doi.org/10.14311/gi.2.12.

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Práce na Open Source databázích pokračují nezadržitelným tempem. Vývojáři se musí vyrovnat s rostoucími požadavky uživatelů na objem dat ukládaných do databází, na náročnější požadavky na odezvu atd. Zatím nedostižnou metou je implementace celého standardu ANSI SQL 200x. Všechny databáze z velké trojky (Firebird, MySQL a PostgreSQL) používají multigenerační architekturu, cenově orientované hledání optimálního prováděcího plánu, write ahead log atd. MySQL se profiluje jako SQL databáze schopná používat specializované databázové backendy schopné maximální efektivity pro určité konkrétní prostředí. PostgreSQL je široce použitelná databáze, těžící z vynikající stability, s perfektní rozšiřitelností a komfortním prostředím. Konečně Firebird je vynikající embeded databáze, která se osvědčuje v tisících instalacích na desktopech.<br />Podle původního plánu mělo dojít k uvolnění verze 8.3 koncem léta - mělo jít o verzi obsahující patche dokončené pro 8.2, ale v té době nedostatečně otestované. Nakonec se ukázalo, že ty nejdůležitější patche je třeba dopracovat. Jednalo se o tak atraktivní vlastnosti, že se rozhodlo s vydáním nové verze počkat. 8.3 obsahuje integrovaný fulltext, podporu opožděného potvrzování (asynchronní commit), synchronizované sekvenční čtení datových souborů, úspornější ukládání dynamických datových typů (kratších 256byte), HOT updates a sofistikovanější aktualizaci indexů (hot indexes). Z patchů připravených pro 8.2 se v 8.3 neobjeví podpora bitmapových indexů a podpora aktualizovatelných pohledů. Původní řešení založené na pravidlech (rules) bylo příliš komplikované. 8.3 obsahuje podporu aktualizovatelných kurzorů, a je docela dobře možné, že aktualizovatelné pohledy budou ve verzi 8.4 implementovány právě s pomocí této třídy kurzorů.<br />Vývoj pokračuje implementací dalších modulů SQL. Ve verzi 8.3 je to konkrétně SQL/XML (rozšíření ANSI SQL), která umožňuje operace s XML dokumenty přímo v databázi a zjednodušuje generování XML dokumentů. Zásadní (interní) změnou je zkrácení hlavičky řádku z 28 bajtů na 24 bajtů. Další změnou, která by měla vést k minimalizaci velikosti uložených dat je diverzifikace typu varlena. Tento typ se v PostgreSQL používá pro serializaci hodnot všech typů s variabilní délkou. Trochu připomíná string v Pascalu. První byty nesou informaci o délce, další nesou obsah. Starší verze PostgreSQL znaly jen typ varlena s 4byte informací o délce. 8.3 podporuje také typ varlena s 1byte záhlavím. Úspora by se měla projevit hlavně u typu NUMERIC a krátkých řetězců. K překladu PostgreSQL lze počínaje touto verzí použít jak gcc, MINGW tak Microsoft Visual C++ (na platformě Microsoft Windows).
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Guliato, Denise, Ernani V. de Melo, Rangaraj M. Rangayyan, and Robson C. Soares. "POSTGRESQL-IE: An Image-handling Extension for PostgreSQL." Journal of Digital Imaging 22, no. 2 (2008): 149–65. http://dx.doi.org/10.1007/s10278-007-9097-5.

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Pilicita Garrido, Anabel, Yolanda Borja López, and Gonzalo Gutiérrez Constante. "Rendimiento de MariaDB y PostgreSQL." Revista Científica y Tecnológica UPSE 7, no. 2 (2020): 09–16. http://dx.doi.org/10.26423/rctu.v7i2.538.

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El almacenamiento de información en las bases de datos es un tema importante para toda organización, en la actualidad. Son los Sistemas Gestores de Bases de Datos conocidos como SGDB encargados de ocultar la complejidad que conlleva la administración de las base de datos. Es común que cada día sean almacenados millones de datos más aún porque en la actualidad existen nuevas tendencias y exigencias para el procesamiento de grandes volúmenes de datos a gran velocidad. Por lo tanto, es indispensable que los SGBD tengan un correcto rendimiento para hacer frente a estas nuevas exigencias. El presente trabajo muestra los resultados obtenidos al realizar pruebas de rendimiento en los Sistemas Gestores de Base de Datos MariaDB y PostgreSQL, aplicando la arquitectura de tres capas para los escenarios de prueba. Ambos SGBD son potentes y muy utilizados por diferentes sistemas. Los resultados obtenidos están relacionados con la cantidad de peticiones por segundo procesadas por estos sistemas. En este caso, MariaDB fue superior que PostgreSQL a medida que aumentó la cantidad de usuarios que realizaban en diferentes escenarios gracias a sus motores de búsqueda que generan mejores velocidades para el procesamiento de datos.
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Gudriks, Rinalds, and Sergejs Kodors. "POSTGRESQL DATABASES SECURITY CONFIGURATION CHECKLIST." HUMAN. ENVIRONMENT. TECHNOLOGIES. Proceedings of the Students International Scientific and Practical Conference, no. 23 (April 24, 2019): 38. http://dx.doi.org/10.17770/het2019.23.4386.

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Ports, Dan R. K., and Kevin Grittner. "Serializable snapshot isolation in PostgreSQL." Proceedings of the VLDB Endowment 5, no. 12 (2012): 1850–61. http://dx.doi.org/10.14778/2367502.2367523.

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Малых, Владимир Леонидович, and Алексей Николаевич Калинин. "Migration from Oracle to PostgreSQL." Program Systems: Theory and Applications 13, no. 4 (2022): 77–91. http://dx.doi.org/10.25209/2079-3316-2022-13-4-77-91.

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Во многих сферах прикладного программного обеспечения наблюдается тенденция к более широкому использованию свободного программного обеспечения (СПО). Эта тенденция связана с переходом к более экономичной модели создания и эксплуатации ПО, с повышением безопасности использования ПО, исключением контроля проприетарного ПО за пользователями и их данными, с преодолением различных санкций в области проприетарного ПО. Для России становится актуальным отказ от проприетарного ПО Oracle и переход к СПО PostgreSQL. В статье предлагается подход к решению проблемы миграции с Oracle на PostgreSQL сильно связного прикладного ПО. Подход отрабатывался на примере миграции МИС Интерин. Результаты могут быть использованы разработчиками ПО, решающими задачи миграции на СПО.
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Kawada, Akiyoshi, Go Nishimura, Junji Teramoto, Etsuro Fujita, Takeshi Yamamuro, and Takuma Wakamori. "PostgreSQL: Leader in Cost Reduction." NTT Technical Review 12, no. 6 (2014): 38–42. http://dx.doi.org/10.53829/ntr201406fa6.

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Ye, Shengke, Kaiye Dai, Guoli Fan, Ling Zhang, and Zhihao Liang. "Exploring the intersection of network security and database communication: a PostgreSQL Socket Connection case study." Transactions on Computer Science and Intelligent Systems Research 3 (April 10, 2024): 1–9. http://dx.doi.org/10.62051/pzqebt34.

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In this study, the network security of PostgreSQL database using Socket connection is deeply analyzed. By exploring Socket connections established by PostgreSQL over TCP, we find potential security threats and vulnerabilities during data transmission, which may expose database systems to network attacks such as unauthorized access and data leakage. In order to assess these security risks, this study simulated a variety of network attack scenarios, especially the implantation and detection of Webshell, to reveal the vulnerability of PostgreSQL to such network threats. Especially in defending against complex and changeable cyber threats such as Webshell attacks, this research also uses machine learning and artificial intelligence techniques to improve the automation level of security threat detection and response. These technologies can help identify complex attack patterns and improve resilience to emerging threats, thereby enhancing the overall security of PostgreSQL databases.
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Kurako, E. A., and V. L. Orlov. "Database Migration from ORACLE to PostgreSQL." Programming and Computer Software 49, no. 5 (2023): 455–63. http://dx.doi.org/10.1134/s0361768823050055.

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Dissertations / Theses on the topic "PostgreSQL"

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Liang, WeiBin 1972. "PostgreSQL-RR integrating recovery into postgreSQL-R system." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=84052.

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Prototypes of replicated database management system have been designed and implemented to improve the reliability and availability. Although these systems are quite robust to failure, a recovery mechanism is still missing to bring a failed site back into the system. This thesis studies two different distributed recovery strategies and presents a hybrid distributed recovery algorithm that, combines the two strategies. These recovery algorithms using different strategies are also integrated into PostgreSQL-RR system. This thesis also compares the cost in term of time associated with recoveries using different strategies, which gives a good foundation to the heuristic used in the hybrid distributed recovery algorithm to automatically select an optimal strategy to reduce the recovery time.
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Jelínek, Radek. "Temporální rozšíření pro PostgreSQL." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-235014.

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This thesis is focused on PostgreSQL database system. You can find here introducing to temporal databases, database system PostgreSQL, proposal of temporal extension for PostgreSQL and implementation chapter with examples of using this extension. In this thesis is also using temporal database systems and use temporal databases in practise.
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Axelsson, Jesper. "Implementering av PostgreSQL som databashanterare för MONITOR." Thesis, Linköpings universitet, Databas och informationsteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112366.

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Monitors affärssystem MONITOR är under ständig utveckling och i och med detta ville man kolla upp huruvida PostgreSQL skulle kunna användas som DBMS istället för det nuvarande; Sybase SQL Anywhere. Examensarbete har därför bestått av en jämförelse hur PostgreSQL står sig jämte andra DBMS:er, en implementering utav en PostgreSQLdatabas som MONITOR arbetar mot samt ett prestandatest utav skapandet av databasen. I många avseenden verkar PostgreSQL vara ett alternativ till SQL Anywhere; Alla datatyper finns i båda dialekterna. Backup av data finns i olika utföranden och går att automatisera Enkelt att installera och uppdatera. Ingen licensieringskostnad existerar. Support finns tillgänglig i olika former. Dock så är inte PostgreSQL ett bra DBMS att byta till i dagsläget då systemet inte fungerade på grund av att vissa uttryck inte översattes ordentligt samt att ingen motsvarighet till LIST existerar. Ännu större är dock problemet med tiden det tar att flytta data till en PostgreSQL-databas då det inte är intressant att lösa problem med funktioner i systemet om det ändå inte går att använda på grund utav att konvertering av data tar så lång tid som det gör.
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Caprioli, Peter, and Fabian Ström. "Rekursiv SQL: Prestanda och begränsningar i Postgresql." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166609.

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Rekursion inom SQL är ett relativt nytt begrepp som introducerades i standarden SQL:1999 eftersom man insåg att det fanns ett behov av att skriva mer kraftfulla frågor i SQL. De flesta som arbetar inom eller har kunskap om IT känner i stor utsträckning till SQL. Trots detta ansåg författarna av denna rapport att kunskapen inom området för rekursion var tämligen begränsad. I rapporten undersökts hur kraftfull rekursion inom SQL är genom att rekursionstyper först identifieras och sedan implementerats i SQL-satser vilka körts och prestanda mäts på körningarna. Detta gjordes med Postgresql, databasen vilken rapporten i stort fokuserar på. Huruvida samma möjligheter eller begränsningar existerar i andra implementationer av SQL undersöks inte i denna rapport.Undersökningen visar att endast linjär rekursion är möjligt att använda i Postgreqsls implementation, precis som det står definierat i SQL:1999. Detta i sig är en stor begränsning då icke-linjära rekursionsfrågor ej är möjliga att ställa. Undersökningen visar dessutom att det som kallas rekursion inom både Postgresql och SQL:1999 inte egentligen är riktig rekursion i den bemärkelse som programmerare normalt använder, utan är mer likt iteration som i t.ex. en while-loop. Prestandan i Postgresql visar sig vara mycket god på de mycket stora testfall som rapporten behandlar. Rapporten går även igenom vissa sätt att komma runt detta problem med, som exempelvis dynamisk programmering. Rapporten utvärderar även olika sätt att förhindra evig körning av rekursiva frågor, som t.ex. då en oändlig loop förhindrar att frågan termineras.
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Pospíšil, Tomáš. "Vývoj SQL/XML funkcionality v databázi PostgreSQL." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236976.

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The aim of this thesis is to propose a way to implement the missing XML functionality for the database system PostgreSQL. The second chapter discusses the theoretical paradigm with an XML-related technologies like Xpath or XQuery. The third chapter discusses the ISO SQL standards and describes the current level of implementation of native XML databases, versus traditional relational databases. The last part focuses on different approaches and it proposes a solution to implement the XML API to PostgreSQL, which validates XML documents against XSD, DTD and RelaxNG schemes. Next point is focused on XML indexing techniques and proposal of new index based on GiST.
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Koroncziová, Dominika. "Doplnění a optimalizace temporálního rozšíření pro PostgreSQL." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255417.

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This thesis focuses on a implemenation of a a temporal data support within traditional relational environment of PostgreSQL system. I pick up on Radek Jelínek's thesis and an extension developed by him. I've analyzed the extension from functional, practical and performance perspectives. Based on my results, I've designed and implemented changes to the original extension. The work also contains implementation details as well as performance comparison results between the new and the original extensions.
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Quezada, Cruz Patricio Ignacio, and Pontus Falk. "ACID and BASE in POSTGRESQL : Distributed database performance." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-168663.

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This thesis studies the performance impact of the Two Phase Commitmechanism used in order to achieve consistency in a distributed Post-greSQL system. This impact is compared to the performance gainedby removing Two Phase Commit and abandoning consistency. Thetests are run on different number of nodes in the system to find a linkbetween the performance hit and the size of the system. Performanceis measured using the unit Queries per Second.Firstly, a short introduction is given to demonstrate why and whendistributed database systems is necessary and the difficulties it poses.Thereafter follows a description of the system constructed to conductthe experiment, together with the results of this experiment. The the-sis is concluded with a discussion regarding the results and thoughtson future variations of the experiment.The conclusion of the experiment is that Two Phase Commit putsa low maximum performance on the system, especially when com-pared to the alternative of abandoning consistency. The number ofnodes did not significantly affect the performance of the system us-ing Two Phase Commit, however the alternative had a clear negativecorrelation between numbers of nodes and Queries per Second.
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Falk, Pontus, and Ignacio Quezada. "ACID and BASE in PostgreSQL : DISTRIBUTED DATABASE PERFORMANCE." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-168669.

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This thesis studies the performance impact of the Two Phase Commit mechanism used in order to achieve consistency in a distributed PostgreSQL system. This impact is compared to the performance gained by removing Two Phase Commit and abandoning consistency. The tests are run on different number of nodes in the system to find a link between the performance hit and the size of the system. Performance is measured using the unit Queries per Second. Firstly, a short introduction is given to demonstrate why and when distributed database systems is necessary and the difficulties it poses. Thereafter follows a description of the system constructed to conduct the experiment, together with the results of this experiment. The thesis is concluded with a discussion regarding the results and thoughts on future variations of the experiment. The conclusion of the experiment is that Two Phase Commit puts a low maximum performance on the system, especially when compared to the alternative of abandoning consistency. The number of nodes did not significantly affect the performance of the system using Two Phase Commit, however the alternative had a clear negative correlation between numbers of nodes and Queries per Second.
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Henzl, Václav. "Metody přístupu k databázím PostgreSQL v .NET Framework." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217983.

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The results of this work are two major projects - NpgObjects and PagedDataGridView. NpgObjects is a simple ORM framework to enable the mapping database tables to objects in the common language runtime. It contains a specially designed generator which generates classes in C# from information obtained from the database. These classes are mapping on the database tables one to one. NpgObjects allows all the basic database operations - SELECT, INSERT, UPDATE and DELETE. PagedDataGridView is a component for displaying tabular data. In cooperation with NpgObjects can paginate database data and manage the flow of data into application. It provides a comfortable user interface, which can easily navigate between different pages of data.
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Magnusson, Martin. "LAGRING AV BILDER I BLOB-FORMAT I MYSQL, MARIADB OCH POSTGRESQL : Jämförelse av svarstider vid bildhantering mellan MySQL, MariaDB och PostgreSQL." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20152.

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Den här studien jämför bildhanteringsprestanda mellan tre olika relationsdatabashanterare.MySQL, MariaDB och PostgreSQL jämförs för att se vilken databashanterare som kan hämtabilder med kortast svarstid. I den här studien utförs experiment för att svara på frågan:“Vilken databas av MySQL, MariaDB och PostgreSQL kommer ha den kortaste svarstidenfrån att en request att visa en bild till att den är hämtad och utritad på skärmen.”. Fråganbesvaras genom att mäta svarstider för respektive databashanterare. Resultatet indikerar attMariaDB hämtar bilder med kortast svarstid i de fall en bild hämtas per sökning, medanPostgreSQL hämtar bilder med kortast svarstid när flera bilder hämtas per sökning. Iframtiden är det intressant att utöka studien med fler databashanterare, samt testa flerbildformat och bildstorlekar.
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Books on the topic "PostgreSQL"

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D, Drake Joshua, ed. Practical PostgreSQL. O'Reilly & Associates, 2002.

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Fröhlich, Lutz. PostgreSQL 9. Carl Hanser Verlag GmbH & Co. KG, 2012. http://dx.doi.org/10.3139/9783446429321.

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Shaik, Baji. PostgreSQL Configuration. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5663-3.

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Helmle, Peter Eisentraut Bernd. PostgreSQL-Administration. O'Reilly Verlag, 2008.

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Dombrovskaya, Henrietta, Boris Novikov, and Anna Bailliekova. PostgreSQL Query Optimization. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6885-8.

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Pfeiffer, Thomas, and Andreas Wenk. PostgreSQL: Das Praxishandbuch. Galileo Press, 2010.

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PostgreSQL essential reference. New Riders, 2002.

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Dombrovskaya, Henrietta, Boris Novikov, and Anna Bailliekova. PostgreSQL Query Optimization. Apress, 2024. http://dx.doi.org/10.1007/979-8-8688-0069-6.

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Hans-Jürgen, Schönig, ed. PostgreSQL developer's handbook. Sams, 2002.

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Susan, Douglas, ed. PostgreSQL: A comprehensive guide to building, programming, and administering PostgresSQL databases. Sams, 2003.

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Book chapters on the topic "PostgreSQL"

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Fröhlich, Lutz. "Sicherheit und Überwachung." In PostgreSQL. Carl Hanser Verlag GmbH & Co. KG, 2022. http://dx.doi.org/10.3139/9783446473157.008.

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Fröhlich, Lutz. "Die C-Library libpq." In PostgreSQL. Carl Hanser Verlag GmbH & Co. KG, 2022. http://dx.doi.org/10.3139/9783446473157.022.

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Fröhlich, Lutz. "PL/pgSQL-Funktionen und Trigger." In PostgreSQL. Carl Hanser Verlag GmbH & Co. KG, 2022. http://dx.doi.org/10.3139/9783446473157.019.

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Fröhlich, Lutz. "Applikationen für PostgreSQL entwickeln." In PostgreSQL. Carl Hanser Verlag GmbH & Co. KG, 2022. http://dx.doi.org/10.3139/9783446473157.017.

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Fröhlich, Lutz. "Programmierung mit Python." In PostgreSQL. Carl Hanser Verlag GmbH & Co. KG, 2022. http://dx.doi.org/10.3139/9783446473157.026.

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Fröhlich, Lutz. "Neue Features." In PostgreSQL. Carl Hanser Verlag GmbH & Co. KG, 2022. http://dx.doi.org/10.3139/9783446473157.006.

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Fröhlich, Lutz. "Logical Decoding." In PostgreSQL. Carl Hanser Verlag GmbH & Co. KG, 2022. http://dx.doi.org/10.3139/9783446473157.009.

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Fröhlich, Lutz. "PostgreSQL in der Cloud." In PostgreSQL. Carl Hanser Verlag GmbH & Co. KG, 2022. http://dx.doi.org/10.3139/9783446473157.032.

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Fröhlich, Lutz. "Migration von MySQL-Datenbanken." In PostgreSQL. Carl Hanser Verlag GmbH & Co. KG, 2022. http://dx.doi.org/10.3139/9783446473157.029.

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Fröhlich, Lutz. "Von Oracle nach PostgreSQL migrieren." In PostgreSQL. Carl Hanser Verlag GmbH & Co. KG, 2022. http://dx.doi.org/10.3139/9783446473157.030.

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Conference papers on the topic "PostgreSQL"

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Padma, Jalaja, Yasin N. Silva, Muhammad U. Arshad, and Walid G. Aref. "Hippocratic PostgreSQL." In 2009 IEEE 25th International Conference on Data Engineering (ICDE). IEEE, 2009. http://dx.doi.org/10.1109/icde.2009.126.

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Karcher, Thomas, and Mathias Landhäußer. "Autotuning PostgreSQL." In ICSE '18: 40th International Conference on Software Engineering. ACM, 2018. http://dx.doi.org/10.1145/3183440.3195045.

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Sultana, Seema, and Sunanda Dixit. "Indexes in PostgreSQL." In 2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA). IEEE, 2017. http://dx.doi.org/10.1109/icimia.2017.7975511.

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Shebaro, Bilal, Asmaa Sallam, Ashish Kamra, and Elisa Bertino. "PostgreSQL anomalous query detector." In the 16th International Conference. ACM Press, 2013. http://dx.doi.org/10.1145/2452376.2452469.

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Shim, Joobo, and Sang-Won Lee. "IPLization of postgreSQL on NVDIMM." In the 9th International Conference. ACM Press, 2018. http://dx.doi.org/10.1145/3183586.3183609.

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Ünal, Hasan Tolga, Simay Mete, Özgür Umut Vurgun, Arif Furkan Mendi, Ömer Özkan, and Mehmet Akif Nacar. "Postgresql Database Management System: ODAK." In 2023 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE, 2023. http://dx.doi.org/10.1109/asyu58738.2023.10296600.

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Muhin, Fedor A., Nikita V. Voinov, Oleg V. Prokofiev, and Sergej A. Molodyakov. "Improving ANN Efficiency using PostgreSQL." In 2024 XXVII International Conference on Soft Computing and Measurements (SCM). IEEE, 2024. http://dx.doi.org/10.1109/scm62608.2024.10554099.

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Eder, Hannes, and Fang Wei. "Evaluation of skyline algorithms in PostgreSQL." In the 2009 International Database Engineering & Applications Symposium. ACM Press, 2009. http://dx.doi.org/10.1145/1620432.1620473.

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Hwang, Da-som, Woon-hak Kang, Gihwan Oh, and Sang-won Lee. "Flash-aware index scan in PostgreSQL." In 2015 31st IEEE International Conference on Data Engineering Workshops (ICDEW). IEEE, 2015. http://dx.doi.org/10.1109/icdew.2015.7129570.

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D'Ambros, Marco, and Michele Lanza. "Applying the evolution radar to PostgreSQL." In the 2006 international workshop. ACM Press, 2006. http://dx.doi.org/10.1145/1137983.1138029.

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Reports on the topic "PostgreSQL"

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Parker, Travis, and Paul Ritchey. High Capacity Single Table Performance Design Using Partitioning in Oracle or PostgreSQL. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada559376.

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Rowe, Lawrence A., and Michael R. Stonebraker. The POSTGRES Data Model. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada184251.

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Stonebraker, Michael. Continuation of the POSTGRES Project. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada299529.

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Stonebraker, Michael. Object Management in POSTGRES Using Procedures. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada181411.

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Stonebraker, Michael, Eric Hanson, and Chin-Heng Hong. The Design of the POSTGRES Rules System. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada179161.

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Stonebraker, Michael, Eric Hanson, and Chin-Heng Hong. The Design of the POSTGRES Rules System. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada181443.

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Stonebraker, Michael. The Design of the POSTGRES Storage System. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada187244.

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