/** Compares our trees, and triggers repairs for any ranges that mismatch. */
public void run() {
InetAddress local = FBUtilities.getLocalAddress();
// restore partitioners (in case we were serialized)
if (ltree.partitioner() == null) ltree.partitioner(StorageService.getPartitioner());
if (rtree.partitioner() == null) rtree.partitioner(StorageService.getPartitioner());
// compare trees, and collect differences
differences.addAll(MerkleTree.difference(ltree, rtree));
// choose a repair method based on the significance of the difference
String format =
"Endpoints " + local + " and " + remote + " %s for " + cfname + " on " + range;
if (differences.isEmpty()) {
logger.info(String.format(format, "are consistent"));
completed(remote, cfname);
return;
}
// non-0 difference: perform streaming repair
logger.info(String.format(format, "have " + differences.size() + " range(s) out of sync"));
try {
performStreamingRepair();
} catch (IOException e) {
throw new RuntimeException(e);
}
}
/** Compares our trees, and triggers repairs for any ranges that mismatch. */
public void run() {
// restore partitioners (in case we were serialized)
if (r1.tree.partitioner() == null) r1.tree.partitioner(StorageService.getPartitioner());
if (r2.tree.partitioner() == null) r2.tree.partitioner(StorageService.getPartitioner());
// compare trees, and collect differences
differences.addAll(MerkleTree.difference(r1.tree, r2.tree));
// choose a repair method based on the significance of the difference
String format =
String.format(
"[repair #%s] Endpoints %s and %s %%s for %s",
getName(), r1.endpoint, r2.endpoint, cfname);
if (differences.isEmpty()) {
logger.info(String.format(format, "are consistent"));
completed(this);
return;
}
// non-0 difference: perform streaming repair
logger.info(String.format(format, "have " + differences.size() + " range(s) out of sync"));
performStreamingRepair();
}
@Test
public void testDifference() {
Range full = new Range(tok(-1), tok(-1));
int maxsize = 16;
mt.maxsize(maxsize);
MerkleTree mt2 = new MerkleTree(partitioner, RECOMMENDED_DEPTH, maxsize);
mt.init();
mt2.init();
TreeRange leftmost = null;
TreeRange middle = null;
TreeRange rightmost = null;
// compact the leftmost, and split the rightmost
Iterator<TreeRange> ranges = mt.invalids(full);
leftmost = ranges.next();
rightmost = null;
while (ranges.hasNext()) rightmost = ranges.next();
mt.compact(leftmost.right);
leftmost = mt.get(leftmost.right); // leftmost is now a larger range
mt.split(rightmost.right);
// set the hash for the left neighbor of rightmost
middle = mt.get(rightmost.left);
middle.hash("arbitrary!".getBytes());
byte depth = middle.depth;
// add dummy hashes to the rest of both trees
for (TreeRange range : mt.invalids(full)) range.addAll(new HIterator(range.right));
for (TreeRange range : mt2.invalids(full)) range.addAll(new HIterator(range.right));
// trees should disagree for leftmost, (middle.left, rightmost.right]
List<TreeRange> diffs = MerkleTree.difference(mt, mt2);
assertEquals(diffs + " contains wrong number of differences:", 2, diffs.size());
assertTrue(diffs.contains(leftmost));
assertTrue(diffs.contains(new Range(middle.left, rightmost.right)));
}