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ForSt fat jar with modifications specific for Apache Flink that contains .so files for linux32 and linux64 (glibc and musl-libc), jnilib files for Mac OSX, and a .dll for Windows x64.

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// Copyright (c) 2011-present, Facebook, Inc.  All rights reserved.
//  This source code is licensed under both the GPLv2 (found in the
//  COPYING file in the root directory) and Apache 2.0 License
//  (found in the LICENSE.Apache file in the root directory).

package org.forstdb;

import java.util.*;

/**
 * JNI passthrough for MemoryUtil.
 */
public class MemoryUtil {

  /**
   * 

Returns the approximate memory usage of different types in the input * list of DBs and Cache set. For instance, in the output map the key * kMemTableTotal will be associated with the memory * usage of all the mem-tables from all the input rocksdb instances.

* *

Note that for memory usage inside Cache class, we will * only report the usage of the input "cache_set" without * including those Cache usage inside the input list "dbs" * of DBs.

* * @param dbs List of dbs to collect memory usage for. * @param caches Set of caches to collect memory usage for. * @return Map from {@link MemoryUsageType} to memory usage as a {@link Long}. */ @SuppressWarnings("PMD.CloseResource") public static Map getApproximateMemoryUsageByType( final List dbs, final Set caches) { final int dbCount = (dbs == null) ? 0 : dbs.size(); final int cacheCount = (caches == null) ? 0 : caches.size(); final long[] dbHandles = new long[dbCount]; final long[] cacheHandles = new long[cacheCount]; if (dbCount > 0) { final ListIterator dbIter = dbs.listIterator(); while (dbIter.hasNext()) { dbHandles[dbIter.nextIndex()] = dbIter.next().nativeHandle_; } } if (cacheCount > 0) { // NOTE: This index handling is super ugly but I couldn't get a clean way to track both the // index and the iterator simultaneously within a Set. int i = 0; for (final Cache cache : caches) { cacheHandles[i] = cache.nativeHandle_; i++; } } final Map byteOutput = getApproximateMemoryUsageByType(dbHandles, cacheHandles); final Map output = new HashMap<>(); for (final Map.Entry longEntry : byteOutput.entrySet()) { output.put(MemoryUsageType.getMemoryUsageType(longEntry.getKey()), longEntry.getValue()); } return output; } private static native Map getApproximateMemoryUsageByType( final long[] dbHandles, final long[] cacheHandles); }




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