[MINOR] Structured Streaming statistics page indent fix

### What changes were proposed in this pull request? Structured Streaming statistics page code contains an indentation issue. This PR fixes it. ### Why are the changes needed? Indent fix. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Existing unit tests. Closes #30434 from gaborgsomogyi/STAT-INDENT-FIX. Authored-by: Gabor Somogyi <gabor.g.somogyi@gmail.com> Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
apache · Nov 19, 2020 · 883a213 · 883a213
1 parent 6da8ade
commit 883a213
Showing 1 changed file with 27 additions and 27 deletions.
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/streaming/ui/StreamingQueryStatisticsPage.scala b/sql/core/src/main/scala/org/apache/spark/sql/streaming/ui/StreamingQueryStatisticsPage.scala
@@ -209,33 +209,33 @@ private[ui] class StreamingQueryStatisticsPage(parent: StreamingQueryTab)
         <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>
-        <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>
+      <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
     } else {
       new NodeBuffer()