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SirixDB is a hybrid on-disk and in-memory document oriented, versioned database system. It has a lightweight buffer manager, stores everything in a huge persistent and durable tree and allows efficient reconstruction of every revision. Furthermore, SirixDB implements change tracking, diffing and supports time travel queries.
package io.sirix.cache;
import com.github.benmanes.caffeine.cache.Caffeine;
import io.sirix.index.name.Names;
import java.util.Map;
import java.util.concurrent.TimeUnit;
public final class NamesCache implements Cache {
private final com.github.benmanes.caffeine.cache.Cache cache;
public NamesCache(final int maxSize) {
cache = Caffeine.newBuilder()
.maximumSize(maxSize)
.expireAfterAccess(5, TimeUnit.MINUTES)
.scheduler(scheduler)
.build();
}
@Override
public void clear() {
cache.invalidateAll();
}
@Override
public Names get(NamesCacheKey key) {
return cache.getIfPresent(key);
}
@Override
public void put(NamesCacheKey key, Names value) {
cache.put(key, value);
}
@Override
public void putAll(Map extends NamesCacheKey, ? extends Names> map) {
cache.putAll(map);
}
@Override
public void toSecondCache() {
throw new UnsupportedOperationException();
}
@Override
public Map getAll(Iterable extends NamesCacheKey> keys) {
return cache.getAllPresent(keys);
}
@Override
public void remove(NamesCacheKey key) {
cache.invalidate(key);
}
@Override
public void close() {
}
}
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