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final CRAN push

tags/v0.5.2 v0.5.2
boB Rudis 7 years ago
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a1cb68a839
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  1. 2
      DESCRIPTION
  2. 2
      README.Rmd
  3. 4
      README.md
  4. 14
      cran-comments.md

2
DESCRIPTION

@ -4,7 +4,7 @@ Version: 0.5.2
Authors@R: c(person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre")),
person("Edward", "Visel", email = "edward.visel@gmail.com", role = "ctb"))
Description: 'Apache Drill' is a low-latency distributed query engine designed to enable
data exploration and analytics on both relational and non-relational datastores,
data exploration and 'analytics' on both relational and non-relational 'datastores',
scaling to petabytes of data. Methods are provided that enable working with 'Apache'
'Drill' instances via the 'REST' 'API', 'JDBC' interface (optional), 'DBI' 'methods'
and using 'dplyr'/'dbplyr' idioms.

2
README.Rmd

@ -14,8 +14,6 @@ knitr::opts_chunk$set(
[![Travis-CI Build Status](https://travis-ci.org/hrbrmstr/sergeant.svg?branch=master)](https://travis-ci.org/hrbrmstr/sergeant)
[![Coverage Status](https://codecov.io/gh/hrbrmstr/sergeant/branch/master/graph/badge.svg)](https://codecov.io/gh/hrbrmstr/sergeant)
<img src="sergeant.png" width="33" align="left" style="padding-right:20px"/>
`sergeant` : Tools to Transform and Query Data with 'Apache' 'Drill'
Drill + `sergeant` is (IMO) a nice alternative to Spark + `sparklyr` if you don't need the ML components of Spark (i.e. just need to query "big data" sources, need to interface with parquet, need to combine disparate data source types — json, csv, parquet, rdbms - for aggregation, etc). Drill also has support for spatial queries.

4
README.md

@ -2,8 +2,6 @@
<!-- README.md is generated from README.Rmd. Please edit that file -->
[![Travis-CI Build Status](https://travis-ci.org/hrbrmstr/sergeant.svg?branch=master)](https://travis-ci.org/hrbrmstr/sergeant) [![Coverage Status](https://codecov.io/gh/hrbrmstr/sergeant/branch/master/graph/badge.svg)](https://codecov.io/gh/hrbrmstr/sergeant)
<img src="sergeant.png" width="33" align="left" style="padding-right:20px"/>
`sergeant` : Tools to Transform and Query Data with 'Apache' 'Drill'
Drill + `sergeant` is (IMO) a nice alternative to Spark + `sparklyr` if you don't need the ML components of Spark (i.e. just need to query "big data" sources, need to interface with parquet, need to combine disparate data source types — json, csv, parquet, rdbms - for aggregation, etc). Drill also has support for spatial queries.
@ -475,7 +473,7 @@ library(testthat)
#> matches
date()
#> [1] "Mon Jul 17 12:23:17 2017"
#> [1] "Mon Jul 17 12:35:05 2017"
devtools::test()
#> Loading sergeant

14
cran-comments.md

@ -1,5 +1,5 @@
## Test environments
* local OS X install, R 3.4.1
* local macOS install, R 3.4.1
* local ubuntu 14.04 install, R 3.4.1
* ubuntu 12.04 (on travis-ci), R 3.4.1 and oldrel
* win-builder
@ -16,14 +16,16 @@ This is a new release, so there are no reverse dependencies.
---
* WinBuilder and R-hub both are reporting httr and covr are not available so
I have not been able to get it to work successfully on those platforms as
a result of these errors which have nothing to do with the package
configuration.
* WinBuilder seems to be working now (it found httr and covr in the last build).
* Removed png causing WinBuilder pandoc problems.
* R-hub is reporting httr and covr are not available so
I have not been able to get it to work successfully on that platform.
* The examples and tests are wrapped in \dontrun{} or testthat:::skip_on_cran()
since they absolutely require a running Apache Drill server. Full tests
are run on Travis (weekly, now) with results avaialble for review:
are run on Travis (weekly) with results avaialble for review:
https://travis-ci.org/hrbrmstr/sergeant
The Travis tests install Apache Drill and test out the REST API calls

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