# Imports from base R
importFrom(methods, setGeneric, setMethod, setOldClass)

# Disable native libraries till we figure out how to package it
# See SPARKR-7839
#useDynLib(SparkR, stringHashCode)

# S3 methods exported
export("sparkR.init")
export("sparkR.stop")
export("print.jobj")

# MLlib integration
exportMethods("glm",
              "predict",
              "summary")

# Job group lifecycle management methods
export("setJobGroup",
       "clearJobGroup",
       "cancelJobGroup")

exportClasses("DataFrame")

exportMethods("arrange",
              "cache",
              "collect",
              "columns",
              "count",
              "crosstab",
              "describe",
              "distinct",
              "dropna",
              "dtypes",
              "except",
              "explain",
              "fillna",
              "filter",
              "first",
              "group_by",
              "groupBy",
              "head",
              "insertInto",
              "intersect",
              "isLocal",
              "join",
              "limit",
              "orderBy",
              "mutate",
              "names",
              "persist",
              "printSchema",
              "registerTempTable",
              "rename",
              "repartition",
              "sample",
              "sample_frac",
              "saveAsParquetFile",
              "saveAsTable",
              "saveDF",
              "schema",
              "select",
              "selectExpr",
              "show",
              "showDF",
              "summarize",
              "take",
              "unionAll",
              "unpersist",
              "where",
              "withColumn",
              "withColumnRenamed",
              "write.df")

exportClasses("Column")

exportMethods("abs",
              "acos",
              "alias",
              "approxCountDistinct",
              "asc",
              "asin",
              "atan",
              "atan2",
              "avg",
              "between",
              "cast",
              "cbrt",
              "ceiling",
              "contains",
              "cos",
              "cosh",
              "countDistinct",
              "desc",
              "endsWith",
              "exp",
              "expm1",
              "floor",
              "getField",
              "getItem",
              "hypot",
              "isNotNull",
              "isNull",
              "last",
              "like",
              "log",
              "log10",
              "log1p",
              "lower",
              "max",
              "mean",
              "min",
              "n",
              "n_distinct",
              "rint",
              "rlike",
              "sign",
              "sin",
              "sinh",
              "sqrt",
              "startsWith",
              "substr",
              "sum",
              "sumDistinct",
              "tan",
              "tanh",
              "toDegrees",
              "toRadians",
              "upper")

exportClasses("GroupedData")
exportMethods("agg")

export("sparkRSQL.init",
       "sparkRHive.init")

export("cacheTable",
       "clearCache",
       "createDataFrame",
       "createExternalTable",
       "dropTempTable",
       "jsonFile",
       "loadDF",
       "parquetFile",
       "read.df",
       "sql",
       "table",
       "tableNames",
       "tables",
       "uncacheTable")

export("structField",
       "structField.jobj",
       "structField.character",
       "print.structField",
       "structType",
       "structType.jobj",
       "structType.structField",
       "print.structType")