dongjoon-hyun commented on a change in pull request #33748:
URL: https://github.com/apache/spark/pull/33748#discussion_r689628677



##########
File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileMetaCacheManager.scala
##########
@@ -0,0 +1,87 @@
+/*
+ * 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.datasources
+
+import java.util.concurrent.TimeUnit
+
+import com.github.benmanes.caffeine.cache.{CacheLoader, Caffeine}
+import com.github.benmanes.caffeine.cache.stats.CacheStats
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.fs.Path
+
+import org.apache.spark.SparkEnv
+import org.apache.spark.internal.Logging
+import org.apache.spark.sql.internal.SQLConf
+
+/**
+ * A singleton Cache Manager to caching file meta. We cache these file metas 
in order to speed up
+ * iterated queries over the same dataset. Otherwise, each query would have to 
hit remote storage
+ * in order to fetch file meta before read files.
+ *
+ * We should implement the corresponding `FileMetaKey` for a specific file 
format, for example
+ * `ParquetFileMetaKey` or `OrcFileMetaKey`. By default, the file path is used 
as the identification
+ * of the `FileMetaKey` and the `getFileMeta` method of `FileMetaKey` is used 
to return the file
+ * meta of the corresponding file format.
+ */
+object FileMetaCacheManager extends Logging {
+
+  private lazy val cacheLoader = new CacheLoader[FileMetaKey, FileMeta]() {
+    override def load(fileMetaKey: FileMetaKey): FileMeta = {
+      logDebug(s"Loading Data File Meta ${fileMetaKey.path}")
+      fileMetaKey.getFileMeta
+    }
+  }
+
+  private lazy val ttlTime =
+    SparkEnv.get.conf.get(SQLConf.FILE_META_CACHE_TTL_SINCE_LAST_ACCESS)
+
+  private lazy val cache = Caffeine
+    .newBuilder()
+    .expireAfterAccess(ttlTime, TimeUnit.SECONDS)
+    .recordStats()
+    .build[FileMetaKey, FileMeta](cacheLoader)
+
+  /**
+   * Returns the `FileMeta` associated with the `FileMetaKey` in the 
`FileMetaCacheManager`,
+   * obtaining that the `FileMeta` from `cacheLoader.load(FileMetaKey)` if 
necessary.
+   */
+  def get(fileMeteKey: FileMetaKey): FileMeta = cache.get(fileMeteKey)
+
+  /**
+   * This is visible for testing.
+   */
+  def cacheStats: CacheStats = cache.stats()

Review comment:
       ditto. Shall we try to use `PrivateMethodTester`?




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