mridulm commented on a change in pull request #28618:
URL: https://github.com/apache/spark/pull/28618#discussion_r487555163



##########
File path: 
core/src/main/java/org/apache/spark/shuffle/api/metadata/ShuffleOutputTracker.java
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@@ -0,0 +1,56 @@
+/*
+ * 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.shuffle.api.metadata;
+
+/**
+ * :: Private ::
+ *
+ * A plugin that can monitor the storage of shuffle data from map tasks, and 
can provide
+ * metadata to shuffle readers to aid their reading of shuffle blocks in 
reduce tasks.
+ * <p>
+ * {@link MapOutputMetadata} instances provided from the plugin tree's 
implementation of
+ * {@link org.apache.spark.shuffle.api.ShuffleMapOutputWriter} are sent to
+ * <p>
+ * Implementations MUST be thread-safe. Spark will invoke methods in this 
module in parallel.

Review comment:
       I was not referring to how implementations manage their state/locking 
(if they have additional state/coordination required, you are right, it has to 
be handled there - state managed across shuffles as an example for some custom 
impl).
   
   I was referring to what guarantees/expectations that implementations have 
from spark (`MapOutputTracker` currently) when these methods are invoked. We 
have to document this, so that implementation can be both aware of the 
MT-safety guarantees we provide (and at what granularity) - so that they can 
make reasonable assumptions about what can/cant be done in an implementation.
   
   For example, as mentioned above, `registerShuffle` is invoked only with 
write lock is held for a particular shuffle. While `unregisterShuffle` does not 
have that guarantee.




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