order -> the order

Author: HyukjinKwon

R/pkg/R/functions.R

@@ -879,7 +879,7 @@ setMethod("factorial",
 #'
 #' The function by default returns the first values it sees. It will return the first non-missing
 #' value it sees when na.rm is set to true. If all values are missing, then NA is returned.
-#' Note: the function is non-deterministic because its results depends on order of rows which
+#' Note: the function is non-deterministic because its results depends on the order of rows which
 #' may be non-deterministic after a shuffle.
 #'
 #' @param na.rm a logical value indicating whether NA values should be stripped
@@ -1024,7 +1024,7 @@ setMethod("kurtosis",
 #'
 #' The function by default returns the last values it sees. It will return the last non-missing
 #' value it sees when na.rm is set to true. If all values are missing, then NA is returned.
-#' Note: the function is non-deterministic because its results depends on order of rows which
+#' Note: the function is non-deterministic because its results depends on the order of rows which
 #' may be non-deterministic after a shuffle.
 #'
 #' @param x column to compute on.

python/pyspark/sql/functions.py

@@ -196,7 +196,7 @@ def _options_to_str(options):
     Aggregate function: returns a list of objects with duplicates.
 
     .. note:: The function is non-deterministic because the order of collected results depends
-        on order of rows which may be non-deterministic after a shuffle.
+        on order of the rows which may be non-deterministic after a shuffle.
 
     >>> df2 = spark.createDataFrame([(2,), (5,), (5,)], ('age',))
     >>> df2.agg(collect_list('age')).collect()
@@ -206,7 +206,7 @@ def _options_to_str(options):
     Aggregate function: returns a set of objects with duplicate elements eliminated.
 
     .. note:: The function is non-deterministic because the order of collected results depends
-        on order of rows which may be non-deterministic after a shuffle.
+        on order of the rows which may be non-deterministic after a shuffle.
 
     >>> df2 = spark.createDataFrame([(2,), (5,), (5,)], ('age',))
     >>> df2.agg(collect_set('age')).collect()

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/First.scala

@@ -44,7 +44,7 @@ import org.apache.spark.sql.types._
        5
   """,
   note = """
-    The function is non-deterministic because its results depends on order of rows which
+    The function is non-deterministic because its results depends on the order of rows which
     may be non-deterministic after a shuffle.
   """,
   since = "2.0.0")

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Last.scala

@@ -44,7 +44,7 @@ import org.apache.spark.sql.types._
        5
   """,
   note = """
-    The function is non-deterministic because its results depends on order of rows which
+    The function is non-deterministic because its results depends on the order of rows which
     may be non-deterministic after a shuffle.
   """,
   since = "2.0.0")

sql/core/src/main/scala/org/apache/spark/sql/functions.scala

@@ -549,7 +549,7 @@ object functions {
    * The function by default returns the last values it sees. It will return the last non-null
    * value it sees when ignoreNulls is set to true. If all values are null, then null is returned.
    *
-   * @note The function is non-deterministic because its results depends on order of rows which
+   * @note The function is non-deterministic because its results depends on the order of rows which
    * may be non-deterministic after a shuffle.
    *
    * @group agg_funcs
@@ -565,7 +565,7 @@ object functions {
    * The function by default returns the last values it sees. It will return the last non-null
    * value it sees when ignoreNulls is set to true. If all values are null, then null is returned.
    *
-   * @note The function is non-deterministic because its results depends on order of rows which
+   * @note The function is non-deterministic because its results depends on the order of rows which
    * may be non-deterministic after a shuffle.
    *
    * @group agg_funcs
@@ -581,7 +581,7 @@ object functions {
    * The function by default returns the last values it sees. It will return the last non-null
    * value it sees when ignoreNulls is set to true. If all values are null, then null is returned.
    *
-   * @note The function is non-deterministic because its results depends on order of rows which
+   * @note The function is non-deterministic because its results depends on the order of rows which
    * may be non-deterministic after a shuffle.
    *
    * @group agg_funcs
@@ -595,7 +595,7 @@ object functions {
    * The function by default returns the last values it sees. It will return the last non-null
    * value it sees when ignoreNulls is set to true. If all values are null, then null is returned.
    *
-   * @note The function is non-deterministic because its results depends on order of rows which
+   * @note The function is non-deterministic because its results depends on the order of rows which
    * may be non-deterministic after a shuffle.
    *
    * @group agg_funcs