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Die SQL-Norm (The SQL Standard)
it - Information Technology, 2003Zusammenfassung In diesem Artikel geben die Autoren einen Überblick über die neuesten Funktionen der nächsten Version der SQL-Norm (SQL:2003) sowie eine kurze Zusammenfassung der vorhandenen Funktionalität in der aktuell gültigen Norm (SQL:1999) und den früheren Versionen. Zusätzlich wird auf ausgewählte Teile des Standards ausführlicher
Andrew Eisenberg+5 more
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Proceedings of the VLDB Endowment, 2014
Current applications, from complex sensor systems (e.g. quantified self) to online e-markets acquire vast quantities of personal information which usually end-up on central servers. This information represents an unprecedented potential for user customized applications and business (e.g., car insurance billing, carbon tax, traffic decongestion ...
To, Cuong Quoc+2 more
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Current applications, from complex sensor systems (e.g. quantified self) to online e-markets acquire vast quantities of personal information which usually end-up on central servers. This information represents an unprecedented potential for user customized applications and business (e.g., car insurance billing, carbon tax, traffic decongestion ...
To, Cuong Quoc+2 more
openaire +3 more sources
Introduction to SQL, SQL*Plus, and SQL Developer
2009This chapter provides an introduction to the SQL language and two tools for working with it. The first section presents a high-level overview of the SQL language, which will give you an idea of the capabilities of this language. Then some important basic concepts of the SQL language are introduced in the second section, such as constants, literals ...
Lex de Haan+4 more
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SQL-Middleware: Enabling the Blockchain with SQL
2021With the development of blockchain, blockchain has a broad prospect as a new type of data management system. However, limited to the data modeling method of blockchain, the usability of blockchain is restricted; In addition, every blockchain system has its own native but naive interfaces, when developing based on the different blockchain systems, which
Haibo Tang+9 more
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CHESS: Contextual Harnessing for Efficient SQL Synthesis
arXiv.orgTranslating natural language questions into SQL queries, known as text-to-SQL, is a long-standing research problem. Effective text-to-SQL synthesis can become very challenging due to (i) the extensive size of database catalogs (descriptions of tables and
Shayan Talaei+4 more
semanticscholar +1 more source
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
arXiv.orgGenerating accurate SQL from users' natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database schema comprehension, and SQL generation.
Zijin Hong+6 more
semanticscholar +1 more source
Data & Knowledge Engineering, 1994
Abstract The relational database model is defined in terms of sets, whereas SQL needs the DISTINCT option for explicit duplicate removal. We define the underlying concept of duplicate tuples, generalize the operators of the relational algebra and study the connection with logic. It is shown that ‘baggy’ operators violate classical equivalences.
Kwast, K.L., van Denneheuvel, S.J.
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Abstract The relational database model is defined in terms of sets, whereas SQL needs the DISTINCT option for explicit duplicate removal. We define the underlying concept of duplicate tuples, generalize the operators of the relational algebra and study the connection with logic. It is shown that ‘baggy’ operators violate classical equivalences.
Kwast, K.L., van Denneheuvel, S.J.
openaire +4 more sources
MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation
International Conference on Computational LinguisticsRecent advancements in large language models (LLMs) have enabled in-context learning (ICL)-based methods that significantly outperform fine-tuning approaches for text-to-SQL tasks. However, their performance is still considerably lower than that of human
Dongjun Lee+3 more
semanticscholar +1 more source
CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
International Conference on Learning RepresentationsIn tackling the challenges of large language model (LLM) performance for Text-to-SQL tasks, we introduce CHASE-SQL, a new framework that employs innovative strategies, using test-time compute in multi-agent modeling to improve candidate generation and ...
Mohammadreza Pourreza+9 more
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Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
International Conference on Learning RepresentationsReal-world enterprise text-to-SQL workflows often involve complex cloud or local data across various database systems, multiple SQL queries in various dialects, and diverse operations from data transformation to analytics.
Fangyu Lei+16 more
semanticscholar +1 more source