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diff --git a/docs/web-ui.md b/docs/web-ui.md
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+++ b/docs/web-ui.md
@@ -35,6 +35,64 @@ progress of all jobs and the overall event timeline. When you click on a job on
page, you see the details page for that job. The details page further shows the event timeline,
DAG visualization, and all stages of the job.
+The information that is displayed in this section is
+* User: Current Spark user
+* Total uptime: Time since Spark application started
+* Scheduling mode: See [job scheduling](job-scheduling.html#configuring-pool-properties)
+* Number of jobs per status: Active, Completed, Failed
+
+
+ 
+
+
+* Event timeline: Displays in chronological order the events related to the executors (added, removed) and the jobs
+
+
+ 
+
+
+* Details of jobs grouped by status: Displays detailed information of the jobs including Job ID, description (with a link to detailed job page), submitted time, duration, stages summary and tasks progress bar
+
+
+ 
+
+
+
+When you click on a specific job, you can see the detailed information of this job.
+
+### Jobs detail
+
+This page displays the details of a specific job identified by its job ID.
+* Job Status: (running, succeeded, failed)
+* Number of stages per status (active, pending, completed, skipped, failed)
+* Associated SQL Query: Link to the sql tab for this job
+* Event timeline: Displays in chronological order the events related to the executors (added, removed) and the stages of the job
+
+
+ 
+
+
+* DAG visualization: Visual representation of the directed acyclic graph of this job where vertices represent the RDDs or DataFrames and the edges represent an operation to be applied on RDD.
+
+
+ 
+
+
+* List of stages (grouped by state active, pending, completed, skipped, and failed)
+ * Stage ID
+ * Description of the stage
+ * Submitted timestamp
+ * Duration of the stage
+ * Tasks progress bar
+ * Input: Bytes read from storage in this stage
+ * Output: Bytes written in storage in this stage
+ * Shuffle read: Total shuffle bytes and records read, includes both data read locally and data read from remote executors
+ * Shuffle write: Bytes and records written to disk in order to be read by a shuffle in a future stage
+
+
+ 
+
+
## Stages Tab
The Stages tab displays a summary page that shows the current state of all stages of all jobs in
the Spark application, and, when you click on a stage, a details page for that stage. The details
@@ -117,3 +175,4 @@ illustrate how Spark parses, analyzes, optimizes and performs the query.
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.
+