rdblue commented on a change in pull request #749: Convert Spark In filter to 
iceberg IN Expression
URL: https://github.com/apache/incubator-iceberg/pull/749#discussion_r371385370
 
 

 ##########
 File path: spark/src/main/java/org/apache/iceberg/spark/SparkFilters.java
 ##########
 @@ -122,11 +122,7 @@ public static Expression convert(Filter filter) {
 
         case IN:
           In inFilter = (In) filter;
-          Expression in = alwaysFalse();
-          for (Object value : inFilter.values()) {
-            in = or(in, equal(inFilter.attribute(), convertLiteral(value)));
-          }
-          return in;
+          return in(inFilter.attribute(), inFilter.values());
 
 Review comment:
   Now that I read this a second time, I think you may be talking about when 
Spark passes a null value here?
   
   I agree that's a problem. This should detect and filter out null values 
because Iceberg's `in` expression will throw an exception if it encounters 
them. If there is a null, then this can return `or(isNull(attr), in(attr, 
nonNullValues))`

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