tdcmeehan commented on code in PR #58176:
URL: https://github.com/apache/spark/pull/58176#discussion_r3935298846


##########
sql/core/src/main/java/org/apache/spark/sql/execution/vectorized/VectorizedReaderCapacityOverflowException.java:
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@@ -0,0 +1,34 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.execution.vectorized;
+
+import org.apache.spark.annotation.DeveloperApi;
+
+/**
+ * Exception thrown when the vectorized reader capacity is exhausted or cannot 
be reserved.
+ */
+@DeveloperApi

Review Comment:
   I believe this introduces this exception to the public API.  Is this 
intentional?  It would seem the consumer would have to disable vectorized 
reader, or ignore corrupt files, and the user wouldn't directly handle this 
exception.



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