diff --git a/superset/connectors/druid/models.py b/superset/connectors/druid/models.py
index f204a90c9..b908056aa 100644
--- a/superset/connectors/druid/models.py
+++ b/superset/connectors/druid/models.py
@@ -35,7 +35,11 @@ import pandas
 try:
     from pydruid.client import PyDruid
     from pydruid.utils.aggregators import count
-    from pydruid.utils.dimensions import MapLookupExtraction, RegexExtraction
+    from pydruid.utils.dimensions import (
+        MapLookupExtraction,
+        RegexExtraction,
+        RegisteredLookupExtraction,
+    )
     from pydruid.utils.filters import Dimension, Filter
     from pydruid.utils.having import Aggregation
     from pydruid.utils.postaggregator import (
@@ -1402,6 +1406,8 @@ class DruidDatasource(Model, BaseDatasource):
                 )
             elif ext_type == "regex":
                 extraction_fn = RegexExtraction(fn["expr"])
+            elif ext_type == "registeredLookup":
+                extraction_fn = RegisteredLookupExtraction(fn.get("lookup"))
             else:
                 raise Exception(_("Unsupported extraction function: " + ext_type))
         return (col, extraction_fn)
diff --git a/tests/druid_func_tests.py b/tests/druid_func_tests.py
index c4d6ab92c..460595dd1 100644
--- a/tests/druid_func_tests.py
+++ b/tests/druid_func_tests.py
@@ -19,7 +19,11 @@ import unittest
 from unittest.mock import Mock
 
 try:
-    from pydruid.utils.dimensions import MapLookupExtraction, RegexExtraction
+    from pydruid.utils.dimensions import (
+        MapLookupExtraction,
+        RegexExtraction,
+        RegisteredLookupExtraction,
+    )
     import pydruid.utils.postaggregator as postaggs
 except ImportError:
     pass
@@ -110,6 +114,27 @@ class DruidFuncTestCase(unittest.TestCase):
         f_ext_fn = f.extraction_function
         self.assertEqual(dim_ext_fn["expr"], f_ext_fn._expr)
 
+    @unittest.skipUnless(
+        SupersetTestCase.is_module_installed("pydruid"), "pydruid not installed"
+    )
+    def test_get_filters_extraction_fn_registered_lookup_extraction(self):
+        filters = [{"col": "country", "val": ["Spain"], "op": "in"}]
+        dimension_spec = {
+            "type": "extraction",
+            "dimension": "country_name",
+            "outputName": "country",
+            "outputType": "STRING",
+            "extractionFn": {"type": "registeredLookup", "lookup": "country_name"},
+        }
+        spec_json = json.dumps(dimension_spec)
+        col = DruidColumn(column_name="country", dimension_spec_json=spec_json)
+        column_dict = {"country": col}
+        f = DruidDatasource.get_filters(filters, [], column_dict)
+        assert isinstance(f.extraction_function, RegisteredLookupExtraction)
+        dim_ext_fn = dimension_spec["extractionFn"]
+        self.assertEqual(dim_ext_fn["type"], f.extraction_function.extraction_type)
+        self.assertEqual(dim_ext_fn["lookup"], f.extraction_function._lookup)
+
     @unittest.skipUnless(
         SupersetTestCase.is_module_installed("pydruid"), "pydruid not installed"
     )