sarutak commented on a change in pull request #30336:
URL: https://github.com/apache/spark/pull/30336#discussion_r524027024



##########
File path: 
sql/core/src/main/scala/org/apache/spark/sql/streaming/ui/StreamingQueryStatisticsPage.scala
##########
@@ -199,49 +201,99 @@ private[ui] class StreamingQueryStatisticsPage(parent: 
StreamingQueryTab)
           "records")
       graphUIDataForNumRowsDroppedByWatermark.generateDataJs(jsCollector)
 
-      // scalastyle:off
-      <tr>
-        <td style="vertical-align: middle;">
-          <div style="width: 160px;">
-            <div><strong>Aggregated Number Of Total State Rows 
{SparkUIUtils.tooltip("Aggregated number of total state rows.", 
"right")}</strong></div>
-          </div>
-        </td>
-        <td 
class={"aggregated-num-total-state-rows-timeline"}>{graphUIDataForNumberTotalRows.generateTimelineHtml(jsCollector)}</td>
-        <td 
class={"aggregated-num-total-state-rows-histogram"}>{graphUIDataForNumberTotalRows.generateHistogramHtml(jsCollector)}</td>
-      </tr>
-        <tr>
-          <td style="vertical-align: middle;">
-            <div style="width: 160px;">
-              <div><strong>Aggregated Number Of Updated State Rows 
{SparkUIUtils.tooltip("Aggregated number of updated state rows.", 
"right")}</strong></div>
-            </div>
-          </td>
-          <td 
class={"aggregated-num-updated-state-rows-timeline"}>{graphUIDataForNumberUpdatedRows.generateTimelineHtml(jsCollector)}</td>
-          <td 
class={"aggregated-num-updated-state-rows-histogram"}>{graphUIDataForNumberUpdatedRows.generateHistogramHtml(jsCollector)}</td>
-        </tr>
-        <tr>
-          <td style="vertical-align: middle;">
-            <div style="width: 160px;">
-              <div><strong>Aggregated State Memory Used In Bytes 
{SparkUIUtils.tooltip("Aggregated state memory used in bytes.", 
"right")}</strong></div>
-            </div>
-          </td>
-          <td 
class={"aggregated-state-memory-used-bytes-timeline"}>{graphUIDataForMemoryUsedBytes.generateTimelineHtml(jsCollector)}</td>
-          <td 
class={"aggregated-state-memory-used-bytes-histogram"}>{graphUIDataForMemoryUsedBytes.generateHistogramHtml(jsCollector)}</td>
-        </tr>
+      val result =
+        // scalastyle:off
         <tr>
           <td style="vertical-align: middle;">
             <div style="width: 160px;">
-              <div><strong>Aggregated Number Of State Rows Dropped By 
Watermark {SparkUIUtils.tooltip("Aggregated number of state rows dropped by 
watermark.", "right")}</strong></div>
+              <div><strong>Aggregated Number Of Total State Rows 
{SparkUIUtils.tooltip("Aggregated number of total state rows.", 
"right")}</strong></div>
             </div>
           </td>
-          <td 
class={"aggregated-num-state-rows-dropped-by-watermark-timeline"}>{graphUIDataForNumRowsDroppedByWatermark.generateTimelineHtml(jsCollector)}</td>
-          <td 
class={"aggregated-num-state-rows-dropped-by-watermark-histogram"}>{graphUIDataForNumRowsDroppedByWatermark.generateHistogramHtml(jsCollector)}</td>
+          <td 
class={"aggregated-num-total-state-rows-timeline"}>{graphUIDataForNumberTotalRows.generateTimelineHtml(jsCollector)}</td>
+          <td 
class={"aggregated-num-total-state-rows-histogram"}>{graphUIDataForNumberTotalRows.generateHistogramHtml(jsCollector)}</td>
         </tr>
-      // scalastyle:on
+          <tr>
+            <td style="vertical-align: middle;">
+              <div style="width: 160px;">
+                <div><strong>Aggregated Number Of Updated State Rows 
{SparkUIUtils.tooltip("Aggregated number of updated state rows.", 
"right")}</strong></div>
+              </div>
+            </td>
+            <td 
class={"aggregated-num-updated-state-rows-timeline"}>{graphUIDataForNumberUpdatedRows.generateTimelineHtml(jsCollector)}</td>
+            <td 
class={"aggregated-num-updated-state-rows-histogram"}>{graphUIDataForNumberUpdatedRows.generateHistogramHtml(jsCollector)}</td>
+          </tr>
+          <tr>
+            <td style="vertical-align: middle;">
+              <div style="width: 160px;">
+                <div><strong>Aggregated State Memory Used In Bytes 
{SparkUIUtils.tooltip("Aggregated state memory used in bytes.", 
"right")}</strong></div>
+              </div>
+            </td>
+            <td 
class={"aggregated-state-memory-used-bytes-timeline"}>{graphUIDataForMemoryUsedBytes.generateTimelineHtml(jsCollector)}</td>
+            <td 
class={"aggregated-state-memory-used-bytes-histogram"}>{graphUIDataForMemoryUsedBytes.generateHistogramHtml(jsCollector)}</td>
+          </tr>
+          <tr>
+            <td style="vertical-align: middle;">
+              <div style="width: 160px;">
+                <div><strong>Aggregated Number Of State Rows Dropped By 
Watermark {SparkUIUtils.tooltip("Aggregated number of state rows dropped by 
watermark.", "right")}</strong></div>
+              </div>
+            </td>
+            <td 
class={"aggregated-num-state-rows-dropped-by-watermark-timeline"}>{graphUIDataForNumRowsDroppedByWatermark.generateTimelineHtml(jsCollector)}</td>
+            <td 
class={"aggregated-num-state-rows-dropped-by-watermark-histogram"}>{graphUIDataForNumRowsDroppedByWatermark.generateHistogramHtml(jsCollector)}</td>
+          </tr>
+        // scalastyle:on
+
+      result ++= generateAggregatedCustomMetrics(query, minBatchTime, 
maxBatchTime, jsCollector)
+      result
     } else {
       new NodeBuffer()
     }
   }
 
+  def generateAggregatedCustomMetrics(
+     query: StreamingQueryUIData,
+     minBatchTime: Long,
+     maxBatchTime: Long,
+     jsCollector: JsCollector): NodeBuffer = {
+    val result: NodeBuffer = new NodeBuffer
+
+    // This is made sure on caller side but put it here to be defensive
+    require(query.lastProgress.stateOperators.nonEmpty)
+    val enabledCustomMetrics = 
parent.parent.conf.get(ENABLED_STREAMING_UI_CUSTOM_METRIC_LIST)
+    logDebug(s"Enabled custom metrics: $enabledCustomMetrics")
+    query.lastProgress.stateOperators.head.customMetrics.keySet().asScala

Review comment:
       Does this work if there are multiple state operators in the query plan 
and they have different custom metrics?




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