Results 291 to 300 of about 83,370 (327)
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CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL

arXiv.org
In 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
semanticscholar   +1 more source

Spark SQL: Relational Data Processing in Spark

SIGMOD Conference, 2015
Spark SQL is a new module in Apache Spark that integrates relational processing with Spark's functional programming API. Built on our experience with Shark, Spark SQL lets Spark programmers leverage the benefits of relational processing (e.g. declarative
Michael Armbrust   +10 more
semanticscholar   +1 more source

Semantic Query-Featured Ensemble Learning Model for SQL-Injection Attack Detection in IoT-Ecosystems

IEEE Transactions on Reliability, 2022
Structured query language (SQL) has emerged as one of the most used databases, serving an array of Internet-of-Things (IoTs)-enabled services including web-transactions, grid networks, industrial activity log and proactive decision systems, smart-home ...
Gowtham M, Pramod H B
semanticscholar   +1 more source

Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation

arXiv.org
Large Language Models (LLMs) have emerged as a powerful tool in advancing the Text-to-SQL task, significantly outperforming traditional methods. Nevertheless, as a nascent research field, there is still no consensus on the optimal prompt templates and ...
Bin Zhang   +9 more
semanticscholar   +1 more source

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

Annual Meeting of the Association for Computational Linguistics
Generating accurate SQL queries for user questions (text-to-SQL) has been a long-standing challenge since it requires a deep understanding of both the user's question and the corresponding database schema in order to retrieve the desired content ...
Zijin Hong   +5 more
semanticscholar   +1 more source

Einführung in SQL

1994
In diesem Kapitel werden die Grundlagen der Datenbanksprache „SQL“ (Structured Query Language) vermittelt.
openaire   +2 more sources

Overview of SQL

2014
The Structured Query Language (SQL) has become the universal language of choice for DBMS products. A study of this language is therefore imperative for the student of computer science or computer information systems. This and the next few chapters will help you acquire a working knowledge of the language, as implemented in the Oracle environment.
Shripad V. Godbole, Elvis C. Foster
openaire   +2 more sources

Parallel SQL on Tandem's NonStop SQL

Digest of Papers. COMPCON Spring 89. Thirty-Fourth IEEE Computer Society International Conference: Intellectual Leverage, 2003
A comparison is made of a number of different strategies for the concurrent execution of multiple SQL (structured query language) statements on a completely nonsharing multiprocessor system. The author gives some preliminary results in the form of heuristics derived from measurements on a Tandem system.
openaire   +2 more sources

PL/SQL from SQL

2011
Functions are an integral part of any well-designed PL/SQL application. They are an embodiment of programming best practices, such as code modularization, reuse, and the encapsulation of business or application logic. When used as simple building-blocks for larger programs, they can be an elegant and simple way to extend functionality while reducing ...
openaire   +2 more sources

SQL and PL/SQL by Example

2015
All database activity is conducted in SQL, and therefore database administrators need to be intimately familiar with it. Figure 2-1 illustrates that the greatest potential for performance improvement usually lies within the software application, not within the database where the application stores its data or within the physical infrastructure where ...
openaire   +2 more sources

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