[GitHub] [flink] rkhachatryan commented on a diff in pull request #21264: [WIP][FLINK-29928][runtime, state] Share RocksDB memory across TM slots

[GitBox <gi...@apache.org>]

rkhachatryan commented on code in PR #21264:
URL: https://github.com/apache/flink/pull/21264#discussion_r1024964191


##########
flink-tests/src/test/java/org/apache/flink/test/state/TaskManagerWideRocksDbMemorySharingITCase.java:
##########
@@ -0,0 +1,257 @@
+/*
+ * 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.flink.test.state;
+
+import org.apache.flink.api.common.JobID;
+import org.apache.flink.api.common.functions.RichMapFunction;
+import org.apache.flink.api.common.state.ListState;
+import org.apache.flink.api.common.state.ListStateDescriptor;
+import org.apache.flink.api.common.time.Deadline;
+import org.apache.flink.configuration.Configuration;
+import org.apache.flink.configuration.MemorySize;
+import org.apache.flink.configuration.StateBackendOptions;
+import org.apache.flink.configuration.TaskManagerOptions;
+import org.apache.flink.contrib.streaming.state.RocksDBNativeMetricOptions;
+import org.apache.flink.contrib.streaming.state.RocksDBOptions;
+import org.apache.flink.metrics.Gauge;
+import org.apache.flink.runtime.jobgraph.JobGraph;
+import org.apache.flink.runtime.testutils.InMemoryReporter;
+import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration;
+import org.apache.flink.streaming.api.CheckpointingMode;
+import org.apache.flink.streaming.api.datastream.DataStreamSource;
+import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
+import org.apache.flink.streaming.api.functions.sink.DiscardingSink;
+import org.apache.flink.test.util.MiniClusterWithClientResource;
+
+import org.junit.After;
+import org.junit.Assert;
+import org.junit.Before;
+import org.junit.Test;
+
+import java.math.BigInteger;
+import java.time.Duration;
+import java.util.ArrayList;
+import java.util.DoubleSummaryStatistics;
+import java.util.List;
+import java.util.Random;
+import java.util.stream.Collectors;
+import java.util.stream.Stream;
+
+import static org.apache.flink.api.common.restartstrategy.RestartStrategies.noRestart;
+import static org.apache.flink.contrib.streaming.state.RocksDBMemoryControllerUtils.calculateActualCacheCapacity;
+import static org.apache.flink.runtime.testutils.CommonTestUtils.waitForAllTaskRunning;
+import static org.apache.flink.util.Preconditions.checkState;
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertTrue;
+
+/**
+ * Tests that memory sharing scope and {@link TaskManagerOptions#MANAGED_MEMORY_SHARED_FRACTION}
+ * work as expected, i.e. make RocksDB use the same BlockCache and WriteBufferManager objects. It
+ * does so using RocksDB metrics.
+ */
+public class TaskManagerWideRocksDbMemorySharingITCase {
+    private static final int PARALLELISM = 4;
+    private static final int NUMBER_OF_JOBS = 5;
+    private static final int NUMBER_OF_TASKS = NUMBER_OF_JOBS * PARALLELISM;
+
+    private static final int MANAGED_MEMORY_SIZE_BYTES = NUMBER_OF_TASKS * 25 * 1024 * 1024;
+    private static final double MANAGED_MEMORY_SHARED_FRACTION = .85d;
+    private static final double WRITE_BUFFER_RATIO = 0.5;
+    private static final double EXPECTED_BLOCK_CACHE_SIZE =
+            calculateActualCacheCapacity(
+                    (long) (MANAGED_MEMORY_SIZE_BYTES * MANAGED_MEMORY_SHARED_FRACTION),
+                    WRITE_BUFFER_RATIO);
+    // try to check that the memory usage is limited
+    // however, there is no hard limit actually
+    // because of https://issues.apache.org/jira/browse/FLINK-15532
+    private static final double EFFECTIVE_LIMIT = EXPECTED_BLOCK_CACHE_SIZE * 1.25;
+
+    private InMemoryReporter metricsReporter;
+    private MiniClusterWithClientResource cluster;
+
+    @Before
+    public void init() throws Exception {
+        metricsReporter = InMemoryReporter.create();
+        cluster =
+                new MiniClusterWithClientResource(
+                        new MiniClusterResourceConfiguration.Builder()
+                                .setConfiguration(getConfiguration(metricsReporter))
+                                .setNumberTaskManagers(1)
+                                .setNumberSlotsPerTaskManager(NUMBER_OF_TASKS)
+                                .build());
+        cluster.before();
+    }
+
+    @After
+    public void destroy() {
+        cluster.after();
+        metricsReporter.close();
+    }
+
+    @Test
+    public void testBlockCache() throws Exception {
+        List<JobID> jobIDs = new ArrayList<>(NUMBER_OF_JOBS);
+        try {
+            // launch jobs
+            for (int i = 0; i < NUMBER_OF_JOBS; i++) {
+                jobIDs.add(cluster.getRestClusterClient().submitJob(dag()).get());
+            }
+
+            // wait for init
+            Deadline initDeadline = Deadline.fromNow(Duration.ofMinutes(1));
+            for (JobID jid : jobIDs) {
+                waitForAllTaskRunning(cluster.getMiniCluster(), jid, false);
+                waitForAllMetricsReported(jid, initDeadline);
+            }
+
+            // check declared capacity
+            collectGaugeValues(jobIDs, "rocksdb.block-cache-capacity")

Review Comment:
   That's right, it measures the total **capacity** (among all backends on TM), regardless of how the memory was allocated.



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