JoshRosen commented on code in PR #49212:
URL: https://github.com/apache/spark/pull/49212#discussion_r1904751056


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core/src/main/scala/org/apache/spark/util/BestEffortLazyVal.scala:
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@@ -0,0 +1,58 @@
+/*
+ * 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.util
+
+import java.util.concurrent.atomic.AtomicReference
+
+/**
+ * A util class to lazily initialize a variable, re-computation is allowed if 
multiple
+ * threads are trying to initialize it concurrently.

Review Comment:
   Following the change to restore the use of `AtomicReference` and the 
`compareAndSet`, this now offers a slightly stronger guarantee than the text 
currently implies:
   
   If there are concurrent initializations then it may evaluate `compute` more 
than once, but (due to the use of `compareAndSet`) callers and readers will see 
the same value.
   
   For example, if we have a lazily-initialized mutable object then it might be 
very important to ensure that readers see the _same_ value.
   
   Given this, I think we might consider re-wording the Scaladoc to be slightly 
more precise, e.g. perhaps something like
   
   ```scala
   /**
    * A lock-free implementation of a lazily-initialized variable.
    * If there are concurrent initializations then the `compute()` function may 
be invoked
    * multiple times. However, only a single `compute()` result will be stored 
and all readers
    * will receive the same result object instance.
    *
   ```



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