A piped query generator based on Edgar F. Codd's relational algebra, and on production experience using 'SQL' and 'dplyr' at big data scale. The design represents an attempt to make 'SQL' more teachable by denoting composition by a sequential pipeline notation instead of nested queries or functions. The implementation delivers reliable high performance data processing on large data systems such as 'Spark', databases, and 'data.table'. Package features include: data processing trees or pipelines as ...
License | GPL 3.0 |
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Tags | rlangcran |
HomePage | https://github.com/WinVector/rquery/, https://winvector.gith ... |
Ranking | #227759 in MvnRepository (See Top Artifacts) |
Used By | 2 artifacts |
Version | Vulnerabilities | Repository | Usages | Date | |
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1.3.x | 1.3.5-b1 | BeDataDriven |
0
| May 01, 2022 | |
1.3.4-b1 | BeDataDriven |
0
| May 01, 2022 | ||
1.3.3-b1 | BeDataDriven |
0
| May 01, 2022 | ||
1.3.2-b1 | BeDataDriven | May 01, 2022 | |||
1.3.1-b1 | BeDataDriven | May 01, 2022 | |||
1.3.0-b1 | BeDataDriven | May 01, 2022 | |||
1.2.x | 1.2.1-b1 | BeDataDriven | May 01, 2022 | ||
1.2.0-b1 | BeDataDriven |
0
| May 01, 2022 | ||
1.1.x | 1.1.1-b1 | BeDataDriven | May 01, 2022 | ||
1.1.0-b1 | BeDataDriven | May 01, 2022 | |||
0.6.x | 0.6.2-b1 | BeDataDriven | May 01, 2022 | ||
0.6.1-b1 | BeDataDriven |
0
| May 01, 2022 | ||
0.4.x | 0.4.3-b2 | BeDataDriven |
0
| May 01, 2022 | |
0.4.3-b1 | BeDataDriven |
0
| May 01, 2022 | ||
0.4.2-b3 | BeDataDriven |
0
| May 01, 2022 | ||
0.4.2-b2 | BeDataDriven |
0
| May 01, 2022 | ||
0.4.2-b1 | BeDataDriven |
0
| May 01, 2022 | ||
0.4.1-b1 | BeDataDriven |
0
| May 01, 2022 | ||
0.4.0-b1 | BeDataDriven |
0
| May 01, 2022 |