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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.page;
import io.sirix.cache.TransactionIntentLog;
import io.sirix.api.PageReadOnlyTrx;
import io.sirix.cache.PageContainer;
import io.sirix.page.interfaces.Page;
import io.sirix.settings.Constants;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.ForkJoinTask;
import java.util.concurrent.RecursiveAction;
public class ForEach extends RecursiveAction {
private final static int TASK_LEN = 1024 / 8;
private final TransactionIntentLog log;
private final PageReadOnlyTrx pageTrx;
private final PageReference[] array;
private final int from;
private final int to;
public ForEach(TransactionIntentLog log, PageReadOnlyTrx pageTrx, PageReference[] array, int from, int to) {
this.log = log;
this.pageTrx = pageTrx;
this.array = array;
this.from = from;
this.to = to;
}
@Override
protected void compute() {
int len = to - from;
if (len < TASK_LEN) {
work(log, pageTrx, array, from, to);
} else {
// split work in half, execute sub-tasks asynchronously
int mid = (from + to) >>> 1;
final List dividedTasks = new ArrayList<>();
dividedTasks.add(new ForEach(log, pageTrx, array, from, mid));
dividedTasks.add(new ForEach(log, pageTrx, array, mid, to));
ForkJoinTask.invokeAll(dividedTasks).forEach(ForkJoinTask::join);
}
}
private void work(TransactionIntentLog log, PageReadOnlyTrx pageTrx, PageReference[] references, int from, int to) {
for (int j = from; j < to; j++) {
final var reference = references[j];
if (reference != null && (reference.getLogKey() != Constants.NULL_ID_INT)) {
final PageContainer container = log.get(reference);
final Page page = container.getModified();
}
}
}
}
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