aokolnychyi commented on code in PR #8755:
URL: https://github.com/apache/iceberg/pull/8755#discussion_r1445975170


##########
spark/v3.5/spark/src/main/java/org/apache/iceberg/spark/SparkExecutorCache.java:
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@@ -0,0 +1,197 @@
+/*
+ * 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.iceberg.spark;
+
+import com.github.benmanes.caffeine.cache.Cache;
+import com.github.benmanes.caffeine.cache.Caffeine;
+import java.time.Duration;
+import java.util.Collection;
+import java.util.Collections;
+import java.util.Map;
+import java.util.function.Supplier;
+import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
+import org.apache.iceberg.relocated.com.google.common.collect.Maps;
+import org.apache.iceberg.relocated.com.google.common.collect.Queues;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * An executor cache for optimizing tasks by reducing the computation and IO 
overhead.
+ *
+ * <p>The cache is configurable and enabled through Spark SQL properties. Its 
key features include
+ * setting limits on the total cache size and maximum size for individual 
entries. Additionally, it
+ * implements automatic eviction of entries after a specified duration of 
inactivity. The cache will
+ * respect the SQL configuration valid at the time of initialization. All 
subsequent changes will
+ * have no effect.
+ *
+ * <p>Usage pattern involves fetching data from the cache using a unique 
combination of execution ID
+ * and key. If the data is not present in the cache, it is computed using the 
provided supplier and
+ * stored in the cache, subject to the defined size constraints.
+ *
+ * <p>Note that this class employs the singleton pattern to ensure only one 
cache exists per JVM.
+ *
+ * @see SparkUtil#executionId()
+ */
+public class SparkExecutorCache {
+
+  private static final Logger LOG = 
LoggerFactory.getLogger(SparkExecutorCache.class);
+
+  private static final SparkConfParser CONF_PARSER = new SparkConfParser();
+  private static final boolean CACHE_ENABLED = parseCacheEnabledConf();
+  private static final Duration TIMEOUT = parseTimeoutConf();
+  private static final long MAX_ENTRY_SIZE = parseMaxEntrySizeConf();
+  private static final long MAX_TOTAL_SIZE = parseMaxTotalSizeConf();
+  private static final String EXECUTOR_DESC = SparkUtil.executorDesc();
+
+  private static volatile SparkExecutorCache instance = null;
+
+  private final Map<String, Collection<String>> keysByExecutionId;
+  private volatile Cache<String, CacheValue> cache = null;
+
+  private SparkExecutorCache() {
+    this.keysByExecutionId = Collections.synchronizedMap(Maps.newHashMap());
+  }
+
+  public static SparkExecutorCache getOrCreate() {
+    if (instance == null && CACHE_ENABLED) {
+      synchronized (SparkExecutorCache.class) {
+        if (instance == null) {
+          SparkExecutorCache.instance = new SparkExecutorCache();
+        }
+      }
+    }
+
+    return instance;
+  }
+
+  public static void cleanUp(String executionId) {
+    if (instance != null) {
+      instance.invalidate(executionId);
+    }
+  }
+
+  public long maxEntrySize() {
+    return MAX_ENTRY_SIZE;
+  }
+
+  public <V> V get(String executionId, String key, Supplier<V> valueSupplier, 
long valueSize) {
+    if (valueSize > MAX_ENTRY_SIZE) {
+      return valueSupplier.get();
+    }
+
+    storeMapping(executionId, key);
+
+    CacheValue value = cache().get(key, ignored -> new 
CacheValue(valueSupplier, valueSize));
+    Preconditions.checkNotNull(value, "Loaded value must not be null");
+    return value.get();
+  }
+
+  private void storeMapping(String executionId, String key) {
+    Collection<String> keys =

Review Comment:
   Applied.



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