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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2022/02/16 05:01:47 UTC

[GitHub] [spark] attilapiros commented on a change in pull request #31876: [SPARK-34942][API][CORE] Abstract Location in MapStatus to enable support for custom storage

attilapiros commented on a change in pull request #31876:
URL: https://github.com/apache/spark/pull/31876#discussion_r807540945



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File path: core/src/main/java/org/apache/spark/shuffle/api/Location.java
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@@ -0,0 +1,61 @@
+/*
+ * 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;
+
+import org.apache.spark.annotation.Private;
+
+import java.io.Externalizable;
+import java.io.ObjectInput;
+import java.io.ObjectOutput;
+
+
+/**
+ * :: Private ::
+ * An interface for plugging in the location of shuffle files, in order to support store shuffle
+ * data in different storage, e.g., BlockManager, HDFS, S3. It would be generated by
+ * {@link ShuffleMapOutputWriter} after writing a shuffle data file and used by ShuffleMapOutputReader
+ * to read the shuffle data.
+ *
+ * Since the location is returned by {@link ShuffleMapOutputWriter#commitAllPartitions()} at executor
+ * and would be sent to driver, users must ensure the location is serializable by
+ *
+ *  - implement a 0-arg constructor
+ *  - implement {@link java.io.Externalizable#readExternal(ObjectInput)} for deserialization
+ *  - implement {@link java.io.Externalizable#writeExternal(ObjectOutput)} for serialization
+ *
+ * Since the location will be used as keys in maps or comparing with others, users must ensure that
+ * invoking {@link java.lang.Object#equals(Object)} or {@link java.lang.Object#hashCode()} on the
+ * {@link Location} instances would distinguish the different locations.
+ *
+ * Spark has its own default implementation of {@link Location} as
+ * {@link org.apache.spark.storage.BlockManagerId}, which is a subclass of {@link ExecutorLocation}
+ * since each {@link org.apache.spark.storage.BlockManager} must belong to a certain executor.
+ * And {@link ExecutorLocation} is a subclass of {@link HostLocation} since each executor must
+ * belong to a certain host. Users should choose the appropriate location interface according to their
+ * own use cases.
+ *
+ * :: Caution ::
+ * Spark would reuse the same location instance for locations which are equal due to the
+ * performance concern. Thus, users should also guarantee the implemented {@link Location}
+ * is IMMUTABLE.
+ *
+ * @since 3.2.0
+ */
+@Private
+public interface Location extends Externalizable {

Review comment:
       Technically a single abstract `Location` interface which can be implemented as you like can handle multiple real locations. IMHO it is just naming: Location => Locations and as mostly single real locations are represented I would even keep the current name. 




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