clean and re-build

DESCRIPTION

@@ -2,25 +2,23 @@ Package: rquery
 Type: Package
 Title: Relational Query Generator for Data Manipulation at Scale
 Version: 0.5.0
-Date: 2018-06-16
+Date: 2018-06-18
 Authors@R: c(
     person("John", "Mount", email = "[email protected]", role = c("aut", "cre")),
     person(family = "Win-Vector LLC", role = c("cph"))
     )
 Maintainer: John Mount <[email protected]>
 URL: https://github.com/WinVector/rquery/, https://winvector.github.io/rquery/
-Description: A 'SQL' piped query generator based on Edgar F. Codd's relational
+Description: 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`
-    and databases. Package features include: data processing trees
+    performance data processing on large data systems such as 'Spark',
+    databases, and 'data.table'. Package features include: data processing trees
     or pipelines as observable objects (able to report both columns
     produced and columns used), optimized 'SQL' generation as an explicit
-    user visible modeling step, explicit query reasoning and checking,
-    and convenience methods for applying query
-    trees to in-memory 'data.frame's.
+    user visible modeling step, explicit query reasoning and checking.
 License: GPL-3
 Encoding: UTF-8
 Depends:

NEWS.md

@@ -1,5 +1,5 @@
 
-# rquery 0.5.0 2018/06/16
+# rquery 0.5.0 2018/06/18
 
  * Make DBI suggested.
  * Rename dbi_ prefixes to rq_ (for now have aliases from old to new).

R/join_controller.R

@@ -846,7 +846,6 @@ strMapToString <- function(m) {
 #' Please see \code{vignette('DependencySorting', package = 'rquery')} and \code{vignette('joinController', package= 'rquery')} for more details.
 #' @seealso \code{\link{describe_tables}}, \code{\link{build_join_plan}}, \code{\link{inspect_join_plan}}, \code{\link{graph_join_plan}}
 #'
-#' TODO: parameterize the implementation provider (right now hard-coded for \code{dplr}, but at least also direct \code{SQL} is a good extension).
 #'
 #' @param columnJoinPlan columns to join, from \code{\link{build_join_plan}} (and likely altered by user).  Note: no column names must intersect with names of the form \code{table_CLEANEDTABNAME_present}.
 #' @param ... force later arguments to bind by name.

README.md

@@ -272,14 +272,14 @@ cat(to_sql(dq, my_db, source_limit = 1000))
             "d"."assessmentTotal"
            FROM
             "d" LIMIT 1000
-           ) tsql_31919852763810022163_0000000000
-          ) tsql_31919852763810022163_0000000001
-         ) tsql_31919852763810022163_0000000002
-       ) tsql_31919852763810022163_0000000003
+           ) tsql_10147663132732343566_0000000000
+          ) tsql_10147663132732343566_0000000001
+         ) tsql_10147663132732343566_0000000002
+       ) tsql_10147663132732343566_0000000003
        WHERE "row_number" <= 1
-      ) tsql_31919852763810022163_0000000004
-     ) tsql_31919852763810022163_0000000005
-    ) tsql_31919852763810022163_0000000006 ORDER BY "subjectID"
+      ) tsql_10147663132732343566_0000000004
+     ) tsql_10147663132732343566_0000000005
+    ) tsql_10147663132732343566_0000000006 ORDER BY "subjectID"
 
 The query is large, but due to its regular structure it should be very amenable to query optimization.