[spark] branch branch-3.0 updated: [MINOR][DOCS] Emphasize the Streaming tab is for DStream API

[gu...@apache.org]

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gurwls223 pushed a commit to branch branch-3.0
in repository https://gitbox.apache.org/repos/asf/spark.git


The following commit(s) were added to refs/heads/branch-3.0 by this push:
     new 73af23c  [MINOR][DOCS] Emphasize the Streaming tab is for DStream API
73af23c is described below

commit 73af23cabee6aac471fbdc9f4a35d118517fad65
Author: Yuanjian Li <xy...@gmail.com>
AuthorDate: Fri Jun 19 12:17:40 2020 +0900

    [MINOR][DOCS] Emphasize the Streaming tab is for DStream API
    
    ### What changes were proposed in this pull request?
    Emphasize the Streaming tab is for DStream API.
    
    ### Why are the changes needed?
    Some users reported that it's a little confusing of the streaming tab and structured streaming tab.
    
    ### Does this PR introduce _any_ user-facing change?
    Document change.
    
    ### How was this patch tested?
    N/A
    
    Closes #28854 from xuanyuanking/minor-doc.
    
    Authored-by: Yuanjian Li <xy...@gmail.com>
    Signed-off-by: HyukjinKwon <gu...@apache.org>
    (cherry picked from commit 8750363c8ddaa649d52e6d9001b9871d379fc4e1)
    Signed-off-by: HyukjinKwon <gu...@apache.org>
---
 docs/web-ui.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/web-ui.md b/docs/web-ui.md
index 6653b00..134a8c8 100644
--- a/docs/web-ui.md
+++ b/docs/web-ui.md
@@ -434,10 +434,10 @@ The tracked operations are listed as follows.
 As an early-release version, the statistics page is still under development and will be improved in
 future releases.
 
-## Streaming Tab
-The web UI includes a Streaming tab if the application uses Spark streaming. This tab displays
-scheduling delay and processing time for each micro-batch in the data stream, which can be useful
-for troubleshooting the streaming application.
+## Streaming (DStreams) Tab
+The web UI includes a Streaming tab if the application uses Spark Streaming with DStream API.
+This tab displays scheduling delay and processing time for each micro-batch in the data stream,
+which can be useful for troubleshooting the streaming application.
 
 ## JDBC/ODBC Server Tab
 We can see this tab when Spark is running as a [distributed SQL engine](sql-distributed-sql-engine.html). It shows information about sessions and submitted SQL operations.


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