Cole-Greer commented on code in PR #3055:
URL: https://github.com/apache/tinkerpop/pull/3055#discussion_r1964444635


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gremlin-test/src/main/resources/org/apache/tinkerpop/gremlin/test/features/map/MergeEdge.feature:
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@@ -947,4 +947,45 @@ Feature: Step - mergeE()
     And the graph should return 7 for count of "g.E()"
     And the graph should return 7 for count of "g.E().hasNot(\"created\")"
     And the graph should return 1 for count of 
"g.V().has(\"person\",\"name\",\"marko\").outE(\"knows\").hasNot(\"created\").inV().has(\"person\",\"name\",\"vadas\")"
-    And the graph should return 1 for count of 
"g.V().has(\"person\",\"name\",\"vadas\").outE(\"self\").hasNot('weight').inV().has(\"person\",\"name\",\"vadas\")"
\ No newline at end of file
+    And the graph should return 1 for count of 
"g.V().has(\"person\",\"name\",\"vadas\").outE(\"self\").hasNot('weight').inV().has(\"person\",\"name\",\"vadas\")"
+
+  @AllowNullPropertyValues
+  Scenario: 
g_mergeEXlabel_knows_out_marko_in_vadasX_optionXonMatch_weight_nullX_allowed
+    Given the empty graph
+    And the graph initializer of
+      """
+      g.addV("person").property("name", "marko").as("a").
+        addV("person").property("name", "vadas").as("b").
+        addE("knows").from("a").to("b").property("weight",1.0d)
+      """
+    And using the parameter xx1 defined as "m[{\"t[label]\": \"knows\", 
\"D[OUT]\":\"v[marko]\", \"D[IN]\":\"v[vadas]\"}]"
+    And using the parameter xx2 defined as "m[{\"weight\":null}]"
+    And the traversal of
+      """
+      g.mergeE(xx1).option(Merge.onMatch,xx2)
+      """
+    When iterated to list
+    Then the result should have a count of 1
+    And the graph should return 2 for count of "g.V()"
+    And the graph should return 1 for count of "g.E().hasLabel(\"knows\")"
+    And the graph should return 1 for count of 
"g.E().hasLabel(\"knows\").has(\"weight\",null)"
+
+  Scenario: 
g_mergeEXlabel_knows_out_marko_in_vadasX_optionXonMatch_weight_nullX
+    Given the empty graph
+    And the graph initializer of
+      """
+      g.addV("person").property("name", "marko").as("a").
+        addV("person").property("name", "vadas").as("b").
+        addE("knows").from("a").to("b").property("weight",1.0d)
+      """
+    And using the parameter xx1 defined as "m[{\"t[label]\": \"knows\", 
\"D[OUT]\":\"v[marko]\", \"D[IN]\":\"v[vadas]\"}]"
+    And using the parameter xx2 defined as "m[{\"weight\":null}]"
+    And the traversal of
+      """
+      g.mergeE(xx1).option(Merge.onMatch,xx2)
+      """
+    When iterated to list
+    Then the result should have a count of 1
+    And the graph should return 2 for count of "g.V()"
+    And the graph should return 1 for count of "g.E().hasLabel(\"knows\")"
+    And the graph should return 0 for count of 
"g.E().hasLabel(\"knows\").has(\"weight\")"

Review Comment:
   Keeping the focus on the new scenarios added in this PR, I don't see how a 
single Graph instance could ever pass both new scenarios at once. The 2 new 
scenarios have the same initialization and query, but have contradicting 
assertions. Any graph implementation must skip at least one of these scenarios.



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