tarun11Mavani commented on code in PR #19041:
URL: https://github.com/apache/pinot/pull/19041#discussion_r3797103019


##########
pinot-segment-local/src/main/java/org/apache/pinot/segment/local/segment/creator/impl/openstruct/OpenStructColumnSplitter.java:
##########
@@ -246,17 +254,57 @@ public void seal()
       writeSparseJsonColumn(sparseKeys);
     }
 
-    if (_coercionFailures > 0) {
-      LOGGER.info("OPEN_STRUCT '{}': dropped {} values due to type coercion 
failures", _columnName, _coercionFailures);
-      ServerMetrics serverMetrics = ServerMetrics.get();
-      if (serverMetrics != null) {
-        
serverMetrics.addMeteredGlobalValue(ServerMeter.OPEN_STRUCT_TYPE_COERCION_FAILURES,
 _coercionFailures);
-      }
+    long totalCoercionFailures = 
_coercionFailuresPerKey.values().stream().mapToLong(Long::longValue).sum();
+    if (totalCoercionFailures > 0) {
+      LOGGER.info("OPEN_STRUCT '{}': dropped {} values due to type coercion 
failures (keys: {})",
+          _columnName, totalCoercionFailures, _coercionFailuresPerKey);
+    }
+    long totalInferenceFailures = 
_inferenceFailuresPerKey.values().stream().mapToLong(Long::longValue).sum();
+    if (totalInferenceFailures > 0) {
+      LOGGER.info("OPEN_STRUCT '{}': {} type inference failures fell back to 
STRING (keys: {})",
+          _columnName, totalInferenceFailures, _inferenceFailuresPerKey);
     }
+    emitMetrics(sparseKeys.size());
 
     emitParentColumnMetadata(sparseKeys);
   }
 
+  private void emitMetrics(int sparseKeyCount) {
+    ServerMetrics serverMetrics = ServerMetrics.get();
+    if (serverMetrics == null || _numDocs == 0) {
+      return;
+    }
+    String col = _columnName;
+
+    long totalCoercion = 
_coercionFailuresPerKey.values().stream().mapToLong(Long::longValue).sum();
+    if (totalCoercion > 0) {
+      serverMetrics.addMeteredTableValue(_tableNameWithType, col,
+          ServerMeter.OPEN_STRUCT_TYPE_COERCION_FAILURES, totalCoercion);
+    }
+    long totalInference = 
_inferenceFailuresPerKey.values().stream().mapToLong(Long::longValue).sum();
+    if (totalInference > 0) {
+      serverMetrics.addMeteredTableValue(_tableNameWithType, col,
+          ServerMeter.OPEN_STRUCT_TYPE_INFERENCE_FAILURES, totalInference);
+    }
+
+    serverMetrics.setOrUpdateTableGauge(_tableNameWithType, col,
+        ServerGauge.OPEN_STRUCT_DENSE_KEY_COUNT, _resolvedDenseKeys.size());
+    serverMetrics.setOrUpdateTableGauge(_tableNameWithType, col,
+        ServerGauge.OPEN_STRUCT_SPARSE_KEY_COUNT, sparseKeyCount);
+    serverMetrics.setOrUpdateTableGauge(_tableNameWithType, col,
+        ServerGauge.OPEN_STRUCT_TOTAL_KEYS_DISCOVERED, 
_presenceBitmaps.size());
+
+    for (String key : _resolvedDenseKeys) {
+      RoaringBitmap presence = _presenceBitmaps.get(key);
+      if (presence != null) {
+        long fillPct = (long) presence.getCardinality() * 100 / _numDocs;
+        serverMetrics.setOrUpdateTableGauge(_tableNameWithType,
+            OpenStructNaming.materializedColumnName(col, key),

Review Comment:
   Added a dedicated `server.yml` rule that splits `column`/`key` as separate 
labels, plus `OpenStructNaming.metricKey()` to percent-escape the JMX-reserved 
chars (`"`, `\`, `*`, `?`, `%`) in the key before it hits the metric name. 
Added tests as well. 



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