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| Content Provider | ACM Digital Library |
|---|---|
| Author | Benzaken, Véronique Nguyen, Kim Castagna, Giuseppe Siméon, Jérôme |
| Abstract | We present a calculus for processing semistructured data that spans differences of application area among several novel query languages, broadly categorized as "NoSQL". This calculus lets users define their own operators, capturing a wider range of data processing capabilities, whilst providing a typing precision so far typical only of primitive hard-coded operators. The type inference algorithm is based on semantic type checking, resulting in type information that is both precise, and flexible enough to handle structured and semistructured data. We illustrate the use of this calculus by encoding a large fragment of Jaql, including operations and iterators over JSON, embedded SQL expressions, and co-grouping, and show how the encoding directly yields a typing discipline for Jaql as it is, namely without the addition of any type definition or type annotation in the code. |
| Starting Page | 101 |
| Ending Page | 114 |
| Page Count | 14 |
| File Format | PDF MP4 |
| ISBN | 9781450318327 |
| DOI | 10.1145/2429069.2429083 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-01-23 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Type inference Cloud computing Jaql Nosql Bigdata analytics |
| Content Type | Audio Text |
| Resource Type | Article |
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