final CRAN push

DESCRIPTION

@@ -4,7 +4,7 @@ Version: 0.5.2
 Authors@R: c(person("Bob", "Rudis", email = "[email protected]", role = c("aut", "cre")),
              person("Edward", "Visel", email = "[email protected]", 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.

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.

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

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