use of org.apache.cassandra.utils.MerkleTree.TreeRange in project eiger by wlloyd.
the class MerkleTreeTest method testHashRandom.
@Test
public void testHashRandom() {
int max = 1000000;
TOKEN_SCALE = new BigInteger("" + max);
mt = new MerkleTree(partitioner, fullRange(), RECOMMENDED_DEPTH, 32);
Random random = new Random();
while (true) {
if (!mt.split(tok(random.nextInt(max))))
break;
}
// validate the tree
TreeRangeIterator ranges = mt.invalids();
for (TreeRange range : ranges) range.addHash(new RowHash(range.right, new byte[0]));
assert null != mt.hash(new Range(tok(-1), tok(-1))) : "Could not hash tree " + mt;
}
use of org.apache.cassandra.utils.MerkleTree.TreeRange in project eiger by wlloyd.
the class MerkleTreeTest method testDifference.
@Test
public void testDifference() {
Range full = new Range(tok(-1), tok(-1));
int maxsize = 16;
mt.maxsize(maxsize);
MerkleTree mt2 = new MerkleTree(partitioner, fullRange(), RECOMMENDED_DEPTH, maxsize);
mt.init();
mt2.init();
// add dummy hashes to both trees
for (TreeRange range : mt.invalids()) range.addAll(new HIterator(range.right));
for (TreeRange range : mt2.invalids()) range.addAll(new HIterator(range.right));
TreeRange leftmost = null;
TreeRange middle = null;
// give some room for splitting
mt.maxsize(maxsize + 2);
// split the leftmost
Iterator<TreeRange> ranges = mt.invalids();
leftmost = ranges.next();
mt.split(leftmost.right);
// set the hashes for the leaf of the created split
middle = mt.get(leftmost.right);
middle.hash("arbitrary!".getBytes());
mt.get(partitioner.midpoint(leftmost.left, leftmost.right)).hash("even more arbitrary!".getBytes());
// trees should disagree for (leftmost.left, middle.right]
List<TreeRange> diffs = MerkleTree.difference(mt, mt2);
assertEquals(diffs + " contains wrong number of differences:", 1, diffs.size());
assertTrue(diffs.contains(new Range(leftmost.left, middle.right)));
}
use of org.apache.cassandra.utils.MerkleTree.TreeRange in project cassandra by apache.
the class MerkleTreeTest method testSerialization.
@Test
public void testSerialization() throws Exception {
Range<Token> full = new Range<>(tok(-1), tok(-1));
// populate and validate the tree
mt.maxsize(256);
mt.init();
for (TreeRange range : mt.invalids()) range.addAll(new HIterator(range.right));
byte[] initialhash = mt.hash(full);
DataOutputBuffer out = new DataOutputBuffer();
MerkleTree.serializer.serialize(mt, out, MessagingService.current_version);
byte[] serialized = out.toByteArray();
DataInputPlus in = new DataInputBuffer(serialized);
MerkleTree restored = MerkleTree.serializer.deserialize(in, MessagingService.current_version);
assertHashEquals(initialhash, restored.hash(full));
}
use of org.apache.cassandra.utils.MerkleTree.TreeRange in project cassandra by apache.
the class MerkleTreeTest method testDifference.
@Test
public void testDifference() {
int maxsize = 16;
mt.maxsize(maxsize);
MerkleTree mt2 = new MerkleTree(partitioner, fullRange(), RECOMMENDED_DEPTH, maxsize);
mt.init();
mt2.init();
// add dummy hashes to both trees
for (TreeRange range : mt.invalids()) range.addAll(new HIterator(range.right));
for (TreeRange range : mt2.invalids()) range.addAll(new HIterator(range.right));
TreeRange leftmost = null;
TreeRange middle = null;
// give some room for splitting
mt.maxsize(maxsize + 2);
// split the leftmost
Iterator<TreeRange> ranges = mt.invalids();
leftmost = ranges.next();
mt.split(leftmost.right);
// set the hashes for the leaf of the created split
middle = mt.get(leftmost.right);
middle.hash("arbitrary!".getBytes());
mt.get(partitioner.midpoint(leftmost.left, leftmost.right)).hash("even more arbitrary!".getBytes());
// trees should disagree for (leftmost.left, middle.right]
List<TreeRange> diffs = MerkleTree.difference(mt, mt2);
assertEquals(diffs + " contains wrong number of differences:", 1, diffs.size());
assertTrue(diffs.contains(new Range<>(leftmost.left, middle.right)));
}
use of org.apache.cassandra.utils.MerkleTree.TreeRange in project cassandra by apache.
the class MerkleTreeTest method testValidateTree.
/**
* Generate two trees with different splits, but containing the same keys, and
* check that they compare equally.
*
* The set of keys used in this test is: #{2,4,6,8,12,14,0}
*/
@Test
public void testValidateTree() {
// this test needs slightly more resolution
TOKEN_SCALE = new BigInteger("16");
Range<Token> full = new Range<>(tok(-1), tok(-1));
Iterator<TreeRange> ranges;
MerkleTree mt2 = new MerkleTree(partitioner, fullRange(), RECOMMENDED_DEPTH, Integer.MAX_VALUE);
mt.split(tok(8));
mt.split(tok(4));
mt.split(tok(12));
mt.split(tok(6));
mt.split(tok(10));
ranges = mt.invalids();
// (-1,4]: depth 2
ranges.next().addAll(new HIterator(2, 4));
// (4,6]
ranges.next().addAll(new HIterator(6));
// (6,8]
ranges.next().addAll(new HIterator(8));
// (8,10]
ranges.next().addAll(new HIterator(/*empty*/
new int[0]));
// (10,12]
ranges.next().addAll(new HIterator(12));
// (12,-1]: depth 2
ranges.next().addAll(new HIterator(14, -1));
mt2.split(tok(8));
mt2.split(tok(4));
mt2.split(tok(12));
mt2.split(tok(2));
mt2.split(tok(10));
mt2.split(tok(9));
mt2.split(tok(11));
ranges = mt2.invalids();
// (-1,2]
ranges.next().addAll(new HIterator(2));
// (2,4]
ranges.next().addAll(new HIterator(4));
// (4,8]: depth 2
ranges.next().addAll(new HIterator(6, 8));
// (8,9]
ranges.next().addAll(new HIterator(/*empty*/
new int[0]));
// (9,10]
ranges.next().addAll(new HIterator(/*empty*/
new int[0]));
// (10,11]: depth 4
ranges.next().addAll(new HIterator(/*empty*/
new int[0]));
// (11,12]: depth 4
ranges.next().addAll(new HIterator(12));
// (12,-1]: depth 2
ranges.next().addAll(new HIterator(14, -1));
byte[] mthash = mt.hash(full);
byte[] mt2hash = mt2.hash(full);
assertHashEquals("Tree hashes did not match: " + mt + " && " + mt2, mthash, mt2hash);
}
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