fix docs

R/pkg/R/DataFrame.R

@@ -3715,8 +3715,8 @@ setMethod("isStreaming",
 #'        '1 minute'. This is a trigger that runs a query periodically based on the processing
 #'        time. If value is '0 seconds', the query will run as fast as possible, this is the
 #'        default. Only one trigger can be set.
-#' @param trigger.once a logical, must be set to \code{TRUE}. This is a trigger that process only
-#'        one batch of data in a streaming query then terminate the query. Only one trigger can be
+#' @param trigger.once a logical, must be set to \code{TRUE}. This is a trigger that processes only
+#'        one batch of data in a streaming query then terminates the query. Only one trigger can be
 #'        set.
 #' @param ... additional external data source specific named options.
 #'

python/pyspark/sql/streaming.py

@@ -793,6 +793,10 @@ def trigger(self, processingTime=None, once=None):
         .. note:: Evolving.
 
         :param processingTime: a processing time interval as a string, e.g. '5 seconds', '1 minute'.
+                               Set a trigger that runs a query periodically based on the processing
+                               time. Only one trigger can be set.
+        :param once: if set to True, set a trigger that processes only one batch of data in a
+                     streaming query then terminates the query. Only one trigger can be set.
 
         >>> # trigger the query for execution every 5 seconds
         >>> writer = sdf.writeStream.trigger(processingTime='5 seconds')

sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/Triggers.scala

@@ -21,7 +21,7 @@ import org.apache.spark.annotation.{Experimental, InterfaceStability}
 import org.apache.spark.sql.streaming.Trigger
 
 /**
- * A [[Trigger]] that process only one batch of data in a streaming query then terminates
+ * A [[Trigger]] that processes only one batch of data in a streaming query then terminates
  * the query.
  */
 @Experimental