Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/18485#discussion_r125007301
--- Diff: docs/structured-streaming-programming-guide.md ---
@@ -1043,7 +1060,7 @@ streamingDf \
</div>
### Arbitrary Stateful Operations
-Many uscases require more advanced stateful operations than aggregations.
For example, in many usecases, you have to track sessions from data streams of
events. For doing such sessionization, you will have to save arbitrary types of
data as state, and perform arbitrary operations on the state using the data
stream events in every trigger. Since Spark 2.2, this can be done using the
operation `mapGroupsWithState` and the more powerful operation
`flatMapGroupsWithState`. Both operations allow you to apply user-defined code
on grouped Datasets to update user-defined state. For more concrete details,
take a look at the API documentation
([Scala](api/scala/index.html#org.apache.spark.sql.streaming.GroupState)/[Java](api/java/org/apache/spark/sql/streaming/GroupState.html))
and the examples
([Scala]({{site.SPARK_GITHUB_URL}}/blob/v{{site.SPARK_VERSION_SHORT}}/examples/src/main/scala/org/apache/spark/examples/sql/streaming/StructuredSessionization.scala)/[Java]({{site.SPARK_GITHUB_URL}
}/blob/v{{site.SPARK_VERSION_SHORT}}/examples/src/main/java/org/apache/spark/examples/sql/streaming/JavaStructuredSessionization.java)).
+Many usecases require more advanced stateful operations than aggregations.
For example, in many usecases, you have to track sessions from data streams of
events. For doing such sessionization, you will have to save arbitrary types of
data as state, and perform arbitrary operations on the state using the data
stream events in every trigger. Since Spark 2.2, this can be done using the
operation `mapGroupsWithState` and the more powerful operation
`flatMapGroupsWithState`. Both operations allow you to apply user-defined code
on grouped Datasets to update user-defined state. For more concrete details,
take a look at the API documentation
([Scala](api/scala/index.html#org.apache.spark.sql.streaming.GroupState)/[Java](api/java/org/apache/spark/sql/streaming/GroupState.html))
and the examples
([Scala]({{site.SPARK_GITHUB_URL}}/blob/v{{site.SPARK_VERSION_SHORT}}/examples/src/main/scala/org/apache/spark/examples/sql/streaming/StructuredSessionization.scala)/[Java]({{site.SPARK_GITHUB_URL
}}/blob/v{{site.SPARK_VERSION_SHORT}}/examples/src/main/java/org/apache/spark/examples/sql/streaming/JavaStructuredSessionization.java)).
--- End diff --
typo: uscases -> usecases
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