SQL TO Flink Translator
Flink has become an effective approach to big data analytics in large cluster systems, and with increasing needs of analysis this data Flink has become an effective technique for analysis Big Data and the need of optimized translator for SQL Query is very necessary to build efficient and flexible SQ...
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Veröffentlicht in: | International journal of computer science issues 2015-01, Vol.12 (1), p.169-169 |
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container_title | International journal of computer science issues |
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creator | Sayed, Fawzya Ramadan Khafagy, Mohamed Helmy |
description | Flink has become an effective approach to big data analytics in large cluster systems, and with increasing needs of analysis this data Flink has become an effective technique for analysis Big Data and the need of optimized translator for SQL Query is very necessary to build efficient and flexible SQL to Flink because SQL based data processing has limited scalability. So Hive supports queries called HiveQL; however, HiveQL offers the same features with SQL, it is still low performance with respect to Flink. A system named SQL to Flink Translator is developed in this paper to design a new system to define and add SQL Query language to Flink, this translator improve the performance of SQL without any change in Flink framework and give the possibility of execute SQL Query on Flink by generate Flink algorithm that execute SQL Queries. |
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A system named SQL to Flink Translator is developed in this paper to design a new system to define and add SQL Query language to Flink, this translator improve the performance of SQL without any change in Flink framework and give the possibility of execute SQL Query on Flink by generate Flink algorithm that execute SQL Queries.</description><identifier>ISSN: 1694-0814</identifier><identifier>EISSN: 1694-0784</identifier><language>eng</language><publisher>Mahebourg: International Journal of Computer Science Issues (IJCSI)</publisher><subject>Algorithms ; Analytics ; Clusters ; Computer science ; Construction ; Data processing ; Design engineering ; Query languages ; Query processing ; Translators</subject><ispartof>International journal of computer science issues, 2015-01, Vol.12 (1), p.169-169</ispartof><rights>Copyright International Journal of Computer Science Issues (IJCSI) Jan 2015</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Sayed, Fawzya Ramadan</creatorcontrib><creatorcontrib>Khafagy, Mohamed Helmy</creatorcontrib><title>SQL TO Flink Translator</title><title>International journal of computer science issues</title><description>Flink has become an effective approach to big data analytics in large cluster systems, and with increasing needs of analysis this data Flink has become an effective technique for analysis Big Data and the need of optimized translator for SQL Query is very necessary to build efficient and flexible SQL to Flink because SQL based data processing has limited scalability. 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source | EZB-FREE-00999 freely available EZB journals |
subjects | Algorithms Analytics Clusters Computer science Construction Data processing Design engineering Query languages Query processing Translators |
title | SQL TO Flink Translator |
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