ajantha-bhat commented on a change in pull request #3493: [CARBONDATA-3600] Fix 
creating mv timeseries UDF column as partition column
URL: https://github.com/apache/carbondata/pull/3493#discussion_r356937829
 
 

 ##########
 File path: 
integration/spark2/src/main/scala/org/apache/spark/sql/CarbonEnv.scala
 ##########
 @@ -121,11 +123,38 @@ class CarbonEnv {
         CarbonProperties.getInstance
           
.addNonSerializableProperty(CarbonCommonConstants.IS_DRIVER_INSTANCE, "true")
         initialized = true
+        cleanChildTablesNotRegisteredInHive(sparkSession)
       }
     }
     Profiler.initialize(sparkSession.sparkContext)
     LOGGER.info("Initialize CarbonEnv completed...")
   }
+
+  private def cleanChildTablesNotRegisteredInHive(sparkSession: SparkSession): 
Unit = {
+    // If in case JDBC application is killed/stopped, when create datamap was 
in progress, datamap
+    // table was created and datampschema was saved to the system, but table 
was not registered to
+    // metastore. So, when we restart JDBC application, we need to clean up
+    // stale tables and datamapschema's.
+    val dataMapSchemas = DataMapStoreManager.getInstance().getAllDataMapSchemas
+    dataMapSchemas.asScala.foreach {
+      dataMapSchema =>
+        if (null != dataMapSchema.getRelationIdentifier &&
+            !dataMapSchema.isIndexDataMap) {
+          if (!sparkSession.sessionState
+            .catalog
+            
.tableExists(TableIdentifier(dataMapSchema.getRelationIdentifier.getTableName,
+              Some(dataMapSchema.getRelationIdentifier.getDatabaseName)))) {
+            
DataMapStoreManager.getInstance().dropDataMapSchema(dataMapSchema.getDataMapName)
+            
DataMapStoreManager.getInstance.unRegisterDataMapCatalog(dataMapSchema)
 
 Review comment:
   same as above. can surround by try catch

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