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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);
}