[SPARK-16693][SPARKR] Remove methods deprecated

R/pkg/NAMESPACE

@@ -28,9 +28,8 @@ importFrom("utils", "download.file", "object.size", "packageVersion", "tail", "u
 
 # S3 methods exported
 export("sparkR.session")
-export("sparkR.init")
-export("sparkR.stop")
 export("sparkR.session.stop")
+export("sparkR.stop")
 export("sparkR.conf")
 export("sparkR.version")
 export("sparkR.uiWebUrl")
@@ -42,9 +41,6 @@ export("sparkR.callJStatic")
 
 export("install.spark")
 
-export("sparkRSQL.init",
-       "sparkRHive.init")
-
 # MLlib integration
 exportMethods("glm",
               "spark.glm",
@@ -151,15 +147,13 @@ exportMethods("arrange",
               "printSchema",
               "randomSplit",
               "rbind",
-              "registerTempTable",
               "rename",
               "repartition",
               "repartitionByRange",
               "rollup",
               "sample",
               "sample_frac",
               "sampleBy",
-              "saveAsParquetFile",
               "saveAsTable",
               "saveDF",
               "schema",
@@ -175,7 +169,6 @@ exportMethods("arrange",
               "toJSON",
               "transform",
               "union",
-              "unionAll",
               "unionByName",
               "unique",
               "unpersist",
@@ -415,10 +408,8 @@ export("as.DataFrame",
        "cacheTable",
        "clearCache",
        "createDataFrame",
-       "createExternalTable",
        "createTable",
        "currentDatabase",
-       "dropTempTable",
        "dropTempView",
        "listColumns",
        "listDatabases",

R/pkg/R/DataFrame.R

@@ -227,7 +227,7 @@ setMethod("showDF",
 #' show
 #'
 #' If eager evaluation is enabled and the Spark object is a SparkDataFrame, evaluate the
-#' SparkDataFrame and print top rows of the SparkDataFrame, otherwise, print the class 
+#' SparkDataFrame and print top rows of the SparkDataFrame, otherwise, print the class
 #' and type information of the Spark object.
 #'
 #' @param object a Spark object. Can be a SparkDataFrame, Column, GroupedData, WindowSpec.
@@ -521,32 +521,6 @@ setMethod("createOrReplaceTempView",
               invisible(callJMethod(x@sdf, "createOrReplaceTempView", viewName))
           })
 
-#' (Deprecated) Register Temporary Table
-#'
-#' Registers a SparkDataFrame as a Temporary Table in the SparkSession
-#' @param x A SparkDataFrame
-#' @param tableName A character vector containing the name of the table
-#'
-#' @seealso \link{createOrReplaceTempView}
-#' @rdname registerTempTable-deprecated
-#' @name registerTempTable
-#' @aliases registerTempTable,SparkDataFrame,character-method
-#' @examples
-#'\dontrun{
-#' sparkR.session()
-#' path <- "path/to/file.json"
-#' df <- read.json(path)
-#' registerTempTable(df, "json_df")
-#' new_df <- sql("SELECT * FROM json_df")
-#'}
-#' @note registerTempTable since 1.4.0
-setMethod("registerTempTable",
-          signature(x = "SparkDataFrame", tableName = "character"),
-          function(x, tableName) {
-              .Deprecated("createOrReplaceTempView")
-              invisible(callJMethod(x@sdf, "createOrReplaceTempView", tableName))
-          })
-
 #' insertInto
 #'
 #' Insert the contents of a SparkDataFrame into a table registered in the current SparkSession.
@@ -956,7 +930,6 @@ setMethod("write.orc",
 #' path <- "path/to/file.json"
 #' df <- read.json(path)
 #' write.parquet(df, "/tmp/sparkr-tmp1/")
-#' saveAsParquetFile(df, "/tmp/sparkr-tmp2/")
 #'}
 #' @note write.parquet since 1.6.0
 setMethod("write.parquet",
@@ -967,17 +940,6 @@ setMethod("write.parquet",
             invisible(handledCallJMethod(write, "parquet", path))
           })
 
-#' @rdname write.parquet
-#' @name saveAsParquetFile
-#' @aliases saveAsParquetFile,SparkDataFrame,character-method
-#' @note saveAsParquetFile since 1.4.0
-setMethod("saveAsParquetFile",
-          signature(x = "SparkDataFrame", path = "character"),
-          function(x, path) {
-            .Deprecated("write.parquet")
-            write.parquet(x, path)
-          })
-
 #' Save the content of SparkDataFrame in a text file at the specified path.
 #'
 #' Save the content of the SparkDataFrame in a text file at the specified path.
@@ -2762,18 +2724,6 @@ setMethod("union",
             dataFrame(unioned)
           })
 
-#' unionAll is deprecated - use union instead
-#' @rdname union
-#' @name unionAll
-#' @aliases unionAll,SparkDataFrame,SparkDataFrame-method
-#' @note unionAll since 1.4.0
-setMethod("unionAll",
-          signature(x = "SparkDataFrame", y = "SparkDataFrame"),
-          function(x, y) {
-            .Deprecated("union")
-            union(x, y)
-          })
-
 #' Return a new SparkDataFrame containing the union of rows, matched by column names
 #'
 #' Return a new SparkDataFrame containing the union of rows in this SparkDataFrame

R/pkg/R/SQLContext.R

@@ -37,37 +37,6 @@ getInternalType <- function(x) {
          stop(paste("Unsupported type for SparkDataFrame:", class(x))))
 }
 
-#' Temporary function to reroute old S3 Method call to new
-#' This function is specifically implemented to remove SQLContext from the parameter list.
-#' It determines the target to route the call by checking the parent of this callsite (say 'func').
-#' The target should be called 'func.default'.
-#' We need to check the class of x to ensure it is SQLContext/HiveContext before dispatching.
-#' @param newFuncSig name of the function the user should call instead in the deprecation message
-#' @param x the first parameter of the original call
-#' @param ... the rest of parameter to pass along
-#' @return whatever the target returns
-#' @noRd
-dispatchFunc <- function(newFuncSig, x, ...) {
-  # When called with SparkR::createDataFrame, sys.call()[[1]] returns c(::, SparkR, createDataFrame)
-  callsite <- as.character(sys.call(sys.parent())[[1]])
-  funcName <- callsite[[length(callsite)]]
-  f <- get(paste0(funcName, ".default"))
-  # Strip sqlContext from list of parameters and then pass the rest along.
-  contextNames <- c("org.apache.spark.sql.SQLContext",
-                    "org.apache.spark.sql.hive.HiveContext",
-                    "org.apache.spark.sql.hive.test.TestHiveContext",
-                    "org.apache.spark.sql.SparkSession")
-  if (missing(x) && length(list(...)) == 0) {
-    f()
-  } else if (class(x) == "jobj" &&
-            any(grepl(paste(contextNames, collapse = "|"), getClassName.jobj(x)))) {
-    .Deprecated(newFuncSig, old = paste0(funcName, "(sqlContext...)"))
-    f(...)
-  } else {
-    f(x, ...)
-  }
-}
-
 #' return the SparkSession
 #' @noRd
 getSparkSession <- function() {
@@ -198,11 +167,10 @@ getDefaultSqlSource <- function() {
 #' df4 <- createDataFrame(cars, numPartitions = 2)
 #' }
 #' @name createDataFrame
-#' @method createDataFrame default
 #' @note createDataFrame since 1.4.0
 # TODO(davies): support sampling and infer type from NA
-createDataFrame.default <- function(data, schema = NULL, samplingRatio = 1.0,
-                                    numPartitions = NULL) {
+createDataFrame <- function(data, schema = NULL, samplingRatio = 1.0,
+                            numPartitions = NULL) {
   sparkSession <- getSparkSession()
 
   if (is.data.frame(data)) {
@@ -285,31 +253,18 @@ createDataFrame.default <- function(data, schema = NULL, samplingRatio = 1.0,
   dataFrame(sdf)
 }
 
-createDataFrame <- function(x, ...) {
-  dispatchFunc("createDataFrame(data, schema = NULL)", x, ...)
-}
-
 #' @rdname createDataFrame
 #' @aliases createDataFrame
-#' @method as.DataFrame default
 #' @note as.DataFrame since 1.6.0
-as.DataFrame.default <- function(data, schema = NULL, samplingRatio = 1.0, numPartitions = NULL) {
+as.DataFrame <- function(data, schema = NULL, samplingRatio = 1.0, numPartitions = NULL) {
   createDataFrame(data, schema, samplingRatio, numPartitions)
 }
 
-#' @param ... additional argument(s).
-#' @rdname createDataFrame
-#' @aliases as.DataFrame
-as.DataFrame <- function(data, ...) {
-  dispatchFunc("as.DataFrame(data, schema = NULL)", data, ...)
-}
-
 #' toDF
 #'
 #' Converts an RDD to a SparkDataFrame by infer the types.
 #'
 #' @param x An RDD
-#'
 #' @rdname SparkDataFrame
 #' @noRd
 #' @examples
@@ -345,9 +300,8 @@ setMethod("toDF", signature(x = "RDD"),
 #' df <- read.json(path, multiLine = TRUE)
 #' }
 #' @name read.json
-#' @method read.json default
 #' @note read.json since 1.6.0
-read.json.default <- function(path, ...) {
+read.json <- function(path, ...) {
   sparkSession <- getSparkSession()
   options <- varargsToStrEnv(...)
   # Allow the user to have a more flexible definition of the text file path
@@ -358,10 +312,6 @@ read.json.default <- function(path, ...) {
   dataFrame(sdf)
 }
 
-read.json <- function(x, ...) {
-  dispatchFunc("read.json(path)", x, ...)
-}
-
 #' Create a SparkDataFrame from an ORC file.
 #'
 #' Loads an ORC file, returning the result as a SparkDataFrame.
@@ -388,13 +338,12 @@ read.orc <- function(path, ...) {
 #' Loads a Parquet file, returning the result as a SparkDataFrame.
 #'
 #' @param path path of file to read. A vector of multiple paths is allowed.
-#' @param ... additional external data source specific named properties.
+#' @param ... additional data source specific named properties.
 #' @return SparkDataFrame
 #' @rdname read.parquet
 #' @name read.parquet
-#' @method read.parquet default
 #' @note read.parquet since 1.6.0
-read.parquet.default <- function(path, ...) {
+read.parquet <- function(path, ...) {
   sparkSession <- getSparkSession()
   options <- varargsToStrEnv(...)
   # Allow the user to have a more flexible definition of the Parquet file path
@@ -405,10 +354,6 @@ read.parquet.default <- function(path, ...) {
   dataFrame(sdf)
 }
 
-read.parquet <- function(x, ...) {
-  dispatchFunc("read.parquet(...)", x, ...)
-}
-
 #' Create a SparkDataFrame from a text file.
 #'
 #' Loads text files and returns a SparkDataFrame whose schema starts with
@@ -428,9 +373,8 @@ read.parquet <- function(x, ...) {
 #' df <- read.text(path)
 #' }
 #' @name read.text
-#' @method read.text default
 #' @note read.text since 1.6.1
-read.text.default <- function(path, ...) {
+read.text <- function(path, ...) {
   sparkSession <- getSparkSession()
   options <- varargsToStrEnv(...)
   # Allow the user to have a more flexible definition of the text file path
@@ -441,10 +385,6 @@ read.text.default <- function(path, ...) {
   dataFrame(sdf)
 }
 
-read.text <- function(x, ...) {
-  dispatchFunc("read.text(path)", x, ...)
-}
-
 #' SQL Query
 #'
 #' Executes a SQL query using Spark, returning the result as a SparkDataFrame.
@@ -461,18 +401,13 @@ read.text <- function(x, ...) {
 #' new_df <- sql("SELECT * FROM table")
 #' }
 #' @name sql
-#' @method sql default
 #' @note sql since 1.4.0
-sql.default <- function(sqlQuery) {
+sql <- function(sqlQuery) {
   sparkSession <- getSparkSession()
   sdf <- callJMethod(sparkSession, "sql", sqlQuery)
   dataFrame(sdf)
 }
 
-sql <- function(x, ...) {
-  dispatchFunc("sql(sqlQuery)", x, ...)
-}
-
 #' Create a SparkDataFrame from a SparkSQL table or view
 #'
 #' Returns the specified table or view as a SparkDataFrame. The table or view must already exist or
@@ -531,9 +466,8 @@ tableToDF <- function(tableName) {
 #' df4 <- read.df(mapTypeJsonPath, "json", stringSchema, multiLine = TRUE)
 #' }
 #' @name read.df
-#' @method read.df default
 #' @note read.df since 1.4.0
-read.df.default <- function(path = NULL, source = NULL, schema = NULL, na.strings = "NA", ...) {
+read.df <- function(path = NULL, source = NULL, schema = NULL, na.strings = "NA", ...) {
   if (!is.null(path) && !is.character(path)) {
     stop("path should be character, NULL or omitted.")
   }
@@ -568,22 +502,13 @@ read.df.default <- function(path = NULL, source = NULL, schema = NULL, na.string
   dataFrame(sdf)
 }
 
-read.df <- function(x = NULL, ...) {
-  dispatchFunc("read.df(path = NULL, source = NULL, schema = NULL, ...)", x, ...)
-}
-
 #' @rdname read.df
 #' @name loadDF
-#' @method loadDF default
 #' @note loadDF since 1.6.0
-loadDF.default <- function(path = NULL, source = NULL, schema = NULL, ...) {
+loadDF <- function(path = NULL, source = NULL, schema = NULL, ...) {
   read.df(path, source, schema, ...)
 }
 
-loadDF <- function(x = NULL, ...) {
-  dispatchFunc("loadDF(path = NULL, source = NULL, schema = NULL, ...)", x, ...)
-}
-
 #' Create a SparkDataFrame representing the database table accessible via JDBC URL
 #'
 #' Additional JDBC database connection properties can be set (...)