Just-in-time compilation of SQL queries into native code has re-cently emerged as a viable alternative to interpretation-based query processing. We present the salient results of research in this fresh area, addressing all aspects of the query processing stack. Through-out the discussion we draw analogies to the general code generation techniques used in contemporary compiler technology. At the same time we describe the open research problems of the area. 1
textabstractCompiling database queries into executable (sub-) programs provides substantial benefits...
Incorporating SQL questions from normal language is a long-standing open issue and has been drawing ...
Compiling queries to machine code is arguably the most efficient way for executing queries. One ofte...
International audienceSQL is by far the most widely used and implemented query language. Yet, on som...
Generating platform-specific machine code for query compilation is commonly applied in database mana...
SQL (Structured Query Language) is a structured language for specialized purposes used to communicat...
Learning algorithms such as decision tree learners dynamically generate a huge amount of large queri...
The motivation of the current study was to design an algorithm that can speed up the processing of a...
Abstract—Many computer end-users, such as research scien-tists and business analysts, need to freque...
In a data stream management system, a continuous query is processed by an execution plan consisting ...
Using natural language processing to create Structured Query Language (SQL) queries has many benefi\...
Although compiling queries to efficient machine code has become a common approach for query executio...
Recent research in the area of temporal databases has proposed a number of query languages that vary...
Querying in Natural language is more convenient for the user than querying in SQL. This paper is int...
AbstractWe present the design and implementation of a SQL query processor that outperforms existing ...
textabstractCompiling database queries into executable (sub-) programs provides substantial benefits...
Incorporating SQL questions from normal language is a long-standing open issue and has been drawing ...
Compiling queries to machine code is arguably the most efficient way for executing queries. One ofte...
International audienceSQL is by far the most widely used and implemented query language. Yet, on som...
Generating platform-specific machine code for query compilation is commonly applied in database mana...
SQL (Structured Query Language) is a structured language for specialized purposes used to communicat...
Learning algorithms such as decision tree learners dynamically generate a huge amount of large queri...
The motivation of the current study was to design an algorithm that can speed up the processing of a...
Abstract—Many computer end-users, such as research scien-tists and business analysts, need to freque...
In a data stream management system, a continuous query is processed by an execution plan consisting ...
Using natural language processing to create Structured Query Language (SQL) queries has many benefi\...
Although compiling queries to efficient machine code has become a common approach for query executio...
Recent research in the area of temporal databases has proposed a number of query languages that vary...
Querying in Natural language is more convenient for the user than querying in SQL. This paper is int...
AbstractWe present the design and implementation of a SQL query processor that outperforms existing ...
textabstractCompiling database queries into executable (sub-) programs provides substantial benefits...
Incorporating SQL questions from normal language is a long-standing open issue and has been drawing ...
Compiling queries to machine code is arguably the most efficient way for executing queries. One ofte...
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