@Test
public void testAdamUpdater() {
INDArray m, v;
double lr = 0.01;
int iteration = 0;
double beta1 = 0.8;
double beta2 = 0.888;
NeuralNetConfiguration conf =
new NeuralNetConfiguration.Builder()
.learningRate(lr)
.iterations(iteration)
.adamMeanDecay(beta1)
.adamVarDecay(beta2)
.layer(
new DenseLayer.Builder()
.nIn(nIn)
.nOut(nOut)
.updater(org.deeplearning4j.nn.conf.Updater.ADAM)
.build())
.build();
int numParams = LayerFactories.getFactory(conf).initializer().numParams(conf, true);
INDArray params = Nd4j.create(1, numParams);
Layer layer = LayerFactories.getFactory(conf).create(conf, null, 0, params, true);
Updater updater = UpdaterCreator.getUpdater(layer);
int updaterStateSize = updater.stateSizeForLayer(layer);
INDArray updaterState = Nd4j.create(1, updaterStateSize);
updater.setStateViewArray(layer, updaterState, true);
updater.update(layer, gradient, iteration, 1);
double beta1t = FastMath.pow(beta1, iteration);
double beta2t = FastMath.pow(beta2, iteration);
double alphat = lr * FastMath.sqrt(1 - beta2t) / (1 - beta1t);
if (Double.isNaN(alphat) || alphat == 0.0) alphat = epsilon;
Gradient gradientDup = new DefaultGradient();
gradientDup.setGradientFor(DefaultParamInitializer.WEIGHT_KEY, weightGradient);
gradientDup.setGradientFor(DefaultParamInitializer.BIAS_KEY, biasGradient);
for (Map.Entry<String, INDArray> entry : gradientDup.gradientForVariable().entrySet()) {
val = entry.getValue();
m = Nd4j.zeros(val.shape());
v = Nd4j.zeros(val.shape());
m.muli(beta1).addi(val.mul(1.0 - beta1));
v.muli(beta2).addi(val.mul(val).mul(1.0 - beta2));
gradExpected = m.mul(alphat).divi(Transforms.sqrt(v).addi(epsilon));
if (!gradExpected.equals(gradient.getGradientFor(entry.getKey()))) {
System.out.println(Arrays.toString(gradExpected.dup().data().asFloat()));
System.out.println(
Arrays.toString(gradient.getGradientFor(entry.getKey()).dup().data().asFloat()));
}
assertEquals(gradExpected, gradient.getGradientFor(entry.getKey()));
}
assertEquals(beta1, layer.conf().getLayer().getAdamMeanDecay(), 1e-4);
assertEquals(beta2, layer.conf().getLayer().getAdamVarDecay(), 1e-4);
}
@Test
public void getStudyConfiguration() throws Exception {
StudyConfigurationManager studyConfigurationManager =
new CatalogStudyConfigurationManager(catalogManager, sessionId);
StudyConfiguration studyConfiguration =
studyConfigurationManager.getStudyConfiguration(studyId, null).first();
Study study = catalogManager.getStudy(studyId, sessionId).first();
assertEquals(study.getAlias(), studyConfiguration.getStudyName());
assertEquals(study.getId(), studyConfiguration.getStudyId());
assertTrue(studyConfiguration.getIndexedFiles().isEmpty());
assertTrue(studyConfiguration.getInvalidStats().isEmpty());
for (Map.Entry<String, Integer> entry : studyConfiguration.getFileIds().entrySet()) {
File file = catalogManager.getFile(entry.getValue(), sessionId).first();
assertEquals(file.getName(), entry.getKey());
assertEquals(
new HashSet<>(file.getSampleIds()),
studyConfiguration.getSamplesInFiles().get(file.getId()));
assertTrue(studyConfiguration.getHeaders().containsKey(file.getId()));
assertTrue(!studyConfiguration.getHeaders().get(file.getId()).isEmpty());
}
}
public void testIteration() {
assertTrue(_nbhm.isEmpty());
assertThat(_nbhm.put("k1", "v1"), nullValue());
assertThat(_nbhm.put("k2", "v2"), nullValue());
String str1 = "";
for (Iterator<Map.Entry<String, String>> i = _nbhm.entrySet().iterator(); i.hasNext(); ) {
Map.Entry<String, String> e = i.next();
str1 += e.getKey();
}
assertThat("found all entries", str1, anyOf(is("k1k2"), is("k2k1")));
String str2 = "";
for (Iterator<String> i = _nbhm.keySet().iterator(); i.hasNext(); ) {
String key = i.next();
str2 += key;
}
assertThat("found all keys", str2, anyOf(is("k1k2"), is("k2k1")));
String str3 = "";
for (Iterator<String> i = _nbhm.values().iterator(); i.hasNext(); ) {
String val = i.next();
str3 += val;
}
assertThat("found all vals", str3, anyOf(is("v1v2"), is("v2v1")));
assertThat(
"toString works", _nbhm.toString(), anyOf(is("{k1=v1, k2=v2}"), is("{k2=v2, k1=v1}")));
}
@Test
public void testGetConnection() {
String url = "jdbc:mysql://10.112.1.110:3306/test_mysql";
String driver = "com.mysql.jdbc.Driver";
String user = "******";
String passwd = "111111";
try {
Class.forName(driver);
} catch (Exception e) {
System.out.println("Get Connection failed!!!");
}
try {
Connection con = DriverManager.getConnection(url, user, passwd);
System.out.println("Get Connection Success!!!");
Properties properties = con.getClientInfo();
Iterator<Map.Entry<Object, Object>> it = properties.entrySet().iterator();
while (it.hasNext()) {
Map.Entry<Object, Object> entry = it.next();
System.out.println(entry.getKey() + "---------------" + entry.getValue());
}
} catch (Exception e) {
e.printStackTrace();
}
}
@Test
public void testSGDUpdater() {
double lr = 0.05;
NeuralNetConfiguration conf =
new NeuralNetConfiguration.Builder()
.learningRate(lr)
.layer(
new DenseLayer.Builder()
.nIn(nIn)
.nOut(nOut)
.updater(org.deeplearning4j.nn.conf.Updater.SGD)
.build())
.build();
int numParams = LayerFactories.getFactory(conf).initializer().numParams(conf, true);
INDArray params = Nd4j.create(1, numParams);
Layer layer = LayerFactories.getFactory(conf).create(conf, null, 0, params, true);
Updater updater = UpdaterCreator.getUpdater(layer);
updater.update(layer, gradient, -1, 1);
Gradient gradientDup = new DefaultGradient();
gradientDup.setGradientFor(DefaultParamInitializer.WEIGHT_KEY, weightGradient.dup());
gradientDup.setGradientFor(DefaultParamInitializer.BIAS_KEY, biasGradient.dup());
for (Map.Entry<String, INDArray> entry : gradientDup.gradientForVariable().entrySet()) {
val = entry.getValue();
gradExpected = val.mul(lr);
assertEquals(gradExpected, gradient.getGradientFor(entry.getKey()));
}
assertEquals(lr, layer.conf().getLayer().getLearningRate(), 1e-4);
}
@Test
public void compact() {
Map<Long, Long> recids = new HashMap<Long, Long>();
for (Long l = 0L; l < 1000; l++) {
recids.put(l, engine.put(l, Serializer.LONG_SERIALIZER));
}
engine.commit();
engine.compact();
for (Map.Entry<Long, Long> e : recids.entrySet()) {
Long recid = e.getValue();
Long value = e.getKey();
assertEquals(value, engine.get(recid, Serializer.LONG_SERIALIZER));
}
}
@Test
public void testRMSPropUpdater() {
double lr = 0.01;
double rmsDecay = 0.25;
Map<String, INDArray> lastG = new HashMap<>();
NeuralNetConfiguration conf =
new NeuralNetConfiguration.Builder()
.learningRate(lr)
.rmsDecay(rmsDecay)
.layer(
new DenseLayer.Builder()
.nIn(nIn)
.nOut(nOut)
.updater(org.deeplearning4j.nn.conf.Updater.RMSPROP)
.build())
.build();
int numParams = LayerFactories.getFactory(conf).initializer().numParams(conf, true);
INDArray params = Nd4j.create(1, numParams);
Layer layer = LayerFactories.getFactory(conf).create(conf, null, 0, params, true);
Updater updater = UpdaterCreator.getUpdater(layer);
int updaterStateSize = updater.stateSizeForLayer(layer);
INDArray updaterState = Nd4j.create(1, updaterStateSize);
updater.setStateViewArray(layer, updaterState, true);
updater.update(layer, gradient, -1, 1);
Gradient gradientDup = new DefaultGradient();
gradientDup.setGradientFor(DefaultParamInitializer.WEIGHT_KEY, weightGradient.dup());
gradientDup.setGradientFor(DefaultParamInitializer.BIAS_KEY, biasGradient.dup());
for (Map.Entry<String, INDArray> entry : gradientDup.gradientForVariable().entrySet()) {
key = entry.getKey();
val = entry.getValue();
INDArray lastGTmp = lastG.get(key);
if (lastGTmp == null) lastGTmp = Nd4j.zeros(val.shape());
lastGTmp.muli(rmsDecay).addi(val.mul(val).muli(1 - rmsDecay));
gradExpected = val.mul(lr).div(Transforms.sqrt(lastGTmp.add(Nd4j.EPS_THRESHOLD)));
assertEquals(gradExpected, gradient.getGradientFor(entry.getKey()));
lastG.put(key, lastGTmp);
}
assertEquals(rmsDecay, layer.conf().getLayer().getRmsDecay(), 1e-4);
}
@Test
public void getDistinctKeysAndCounts_SortByKeyDescending() {
Connection connection = null;
ResultSet resultSet = null;
try {
ConnectionManager connectionManager = temporaryFileDatabase.getConnectionManager(true);
initWithTestData(connectionManager);
connection = connectionManager.getConnection(null);
resultSet = DBQueries.getDistinctKeysAndCounts(true, NAME, connection);
Map<String, Integer> resultSetToMap = resultSetToMap(resultSet);
assertEquals(3, resultSetToMap.size());
Iterator<Map.Entry<String, Integer>> entriesIterator = resultSetToMap.entrySet().iterator();
Map.Entry entry = entriesIterator.next();
assertEquals("gps", entry.getKey());
assertEquals(1, entry.getValue());
entry = entriesIterator.next();
assertEquals("airbags", entry.getKey());
assertEquals(1, entry.getValue());
entry = entriesIterator.next();
assertEquals("abs", entry.getKey());
assertEquals(2, entry.getValue());
} finally {
DBUtils.closeQuietly(resultSet);
DBUtils.closeQuietly(connection);
}
}
@Test
public void compact() {
e = openEngine();
Map<Long, Long> recids = new HashMap<Long, Long>();
for (Long l = 0L; l < 1000; l++) {
recids.put(l, e.put(l, Serializer.LONG));
}
e.commit();
e.compact();
for (Map.Entry<Long, Long> m : recids.entrySet()) {
Long recid = m.getValue();
Long value = m.getKey();
assertEquals(value, e.get(recid, Serializer.LONG));
}
e.close();
}
@Test
public void testNestorovsUpdater() {
double lr = 1e-2;
double mu = 0.6;
INDArray v, vPrev;
NeuralNetConfiguration conf =
new NeuralNetConfiguration.Builder()
.learningRate(lr)
.momentum(mu)
.layer(
new DenseLayer.Builder()
.nIn(nIn)
.nOut(nOut)
.updater(org.deeplearning4j.nn.conf.Updater.NESTEROVS)
.build())
.build();
int numParams = LayerFactories.getFactory(conf).initializer().numParams(conf, true);
INDArray params = Nd4j.create(1, numParams);
Layer layer = LayerFactories.getFactory(conf).create(conf, null, 0, params, true);
Updater updater = UpdaterCreator.getUpdater(layer);
int updaterStateSize = updater.stateSizeForLayer(layer);
INDArray updaterState = Nd4j.create(1, updaterStateSize);
updater.setStateViewArray(layer, updaterState, true);
updater.update(layer, gradient, -1, 1);
Gradient gradientDup = new DefaultGradient();
gradientDup.setGradientFor(DefaultParamInitializer.WEIGHT_KEY, weightGradient.dup());
gradientDup.setGradientFor(DefaultParamInitializer.BIAS_KEY, biasGradient.dup());
for (Map.Entry<String, INDArray> entry : gradientDup.gradientForVariable().entrySet()) {
val = entry.getValue();
v = Nd4j.zeros(val.shape());
vPrev = v;
v = vPrev.mul(mu).subi(val.mul(lr));
gradExpected = vPrev.muli(mu).addi(v.mul(-mu - 1));
assertEquals(gradExpected, gradient.getGradientFor(entry.getKey()));
}
assertEquals(mu, layer.conf().getLayer().getMomentum(), 1e-4);
}
@Test
public void testMultiMapEntrySet() {
HazelcastClient hClient = getHazelcastClient();
MultiMap<String, String> map = hClient.getMultiMap("testMultiMapEntrySet");
map.put("Hello", "World");
map.put("Hello", "Europe");
map.put("Hello", "America");
map.put("Hello", "Asia");
map.put("Hello", "Africa");
map.put("Hello", "Antarctica");
map.put("Hello", "Australia");
Set<Map.Entry<String, String>> entries = map.entrySet();
assertEquals(7, entries.size());
int itCount = 0;
for (Map.Entry<String, String> entry : entries) {
assertEquals("Hello", entry.getKey());
itCount++;
}
assertEquals(7, itCount);
}
public void doFunctionalQueryTest(IMap imap) {
Employee em = new Employee("joe", 33, false, 14.56);
imap.put("1", new Employee("joe", 33, false, 14.56));
imap.put("2", new Employee("ali", 23, true, 15.00));
for (int i = 3; i < 103; i++) {
imap.put(
String.valueOf(i), new Employee("name" + i, i % 60, ((i % 2) == 1), Double.valueOf(i)));
}
Set<Map.Entry> entries = imap.entrySet();
assertEquals(102, entries.size());
int itCount = 0;
for (Map.Entry entry : entries) {
Employee c = (Employee) entry.getValue();
itCount++;
}
assertEquals(102, itCount);
EntryObject e = new PredicateBuilder().getEntryObject();
Predicate predicate = e.is("active").and(e.get("age").equal(23));
entries = imap.entrySet(predicate);
assertEquals(3, entries.size());
for (Map.Entry entry : entries) {
Employee c = (Employee) entry.getValue();
assertEquals(c.getAge(), 23);
assertTrue(c.isActive());
}
imap.remove("2");
entries = imap.entrySet(predicate);
assertEquals(2, entries.size());
for (Map.Entry entry : entries) {
Employee c = (Employee) entry.getValue();
assertEquals(c.getAge(), 23);
assertTrue(c.isActive());
}
}
@Test
public void testAdaGradUpdater() {
double lr = 1e-2;
NeuralNetConfiguration conf =
new NeuralNetConfiguration.Builder()
.learningRate(lr)
.layer(
new DenseLayer.Builder()
.nIn(nIn)
.nOut(nOut)
.updater(org.deeplearning4j.nn.conf.Updater.ADAGRAD)
.build())
.build();
int numParams = LayerFactories.getFactory(conf).initializer().numParams(conf, true);
INDArray params = Nd4j.create(1, numParams);
Layer layer = LayerFactories.getFactory(conf).create(conf, null, 0, params, true);
Updater updater = UpdaterCreator.getUpdater(layer);
int updaterStateSize = updater.stateSizeForLayer(layer);
INDArray updaterState = Nd4j.create(1, updaterStateSize);
updater.setStateViewArray(layer, updaterState, true);
updater.update(layer, gradient, -1, 1);
Gradient gradientDup = new DefaultGradient();
gradientDup.setGradientFor(DefaultParamInitializer.WEIGHT_KEY, weightGradient);
gradientDup.setGradientFor(DefaultParamInitializer.BIAS_KEY, biasGradient);
for (Map.Entry<String, INDArray> entry : gradientDup.gradientForVariable().entrySet()) {
val = entry.getValue();
gradExpected = Transforms.sqrt(val.mul(val).add(epsilon)).rdiv(lr).mul(val);
assertEquals(gradExpected, gradient.getGradientFor(entry.getKey()));
}
assertEquals(lr, layer.conf().getLayer().getLearningRate(), 1e-4);
}
@Test
public void findSmaller() {
for (int i = 0; i < 10000; i += 3) {
m.put(i, "aa" + i);
}
for (int i = 0; i < 10000; i += 1) {
Integer s = i - i % 3;
Map.Entry e = m.findSmaller(i, true);
assertEquals(s, e != null ? e.getKey() : null);
}
assertEquals(9999, m.findSmaller(100000, true).getKey());
assertNull(m.findSmaller(0, false));
for (int i = 1; i < 10000; i += 1) {
Integer s = i - i % 3;
if (s == i) s -= 3;
Map.Entry e = m.findSmaller(i, false);
assertEquals(s, e != null ? e.getKey() : null);
}
assertEquals(9999, m.findSmaller(100000, false).getKey());
}
@Test
public void testAdaDeltaUpdate() {
INDArray dxSquared;
Map<String, INDArray> msg = new HashMap<>();
Map<String, INDArray> msdx = new HashMap<>();
double rho = 0.85;
NeuralNetConfiguration conf =
new NeuralNetConfiguration.Builder()
.rho(rho)
.layer(
new DenseLayer.Builder()
.nIn(nIn)
.nOut(nOut)
.updater(org.deeplearning4j.nn.conf.Updater.ADADELTA)
.build())
.build();
int numParams = LayerFactories.getFactory(conf).initializer().numParams(conf, true);
INDArray params = Nd4j.create(1, numParams);
Layer layer = LayerFactories.getFactory(conf).create(conf, null, 0, params, true);
Updater updater = UpdaterCreator.getUpdater(layer);
int updaterStateSize = updater.stateSizeForLayer(layer);
INDArray updaterState = Nd4j.create(1, updaterStateSize);
updater.setStateViewArray(layer, updaterState, true);
Gradient gradientDup = new DefaultGradient();
gradientDup.setGradientFor(DefaultParamInitializer.WEIGHT_KEY, weightGradient.dup());
gradientDup.setGradientFor(DefaultParamInitializer.BIAS_KEY, biasGradient.dup());
for (int i = 0; i < 2; i++) {
updater.update(layer, gradient, i, 1);
// calculations for one iteration / update
for (Map.Entry<String, INDArray> entry : gradientDup.gradientForVariable().entrySet()) {
key = entry.getKey();
val = entry.getValue();
INDArray msgTmp = msg.get(key);
INDArray msdxTmp = msdx.get(key);
if (msgTmp == null) {
msgTmp = Nd4j.zeros(val.shape());
msdxTmp = Nd4j.zeros(val.shape());
}
msgTmp.muli(rho);
msgTmp.addi(1 - rho).muli(val.mul(val));
gradExpected =
Transforms.sqrt(msdxTmp.add(Nd4j.EPS_THRESHOLD))
.divi(Transforms.sqrt(msgTmp.add(Nd4j.EPS_THRESHOLD)))
.muli(val);
gradientDup.setGradientFor(key, gradExpected);
assertEquals(gradExpected, gradient.getGradientFor(entry.getKey()));
msdxTmp.muli(rho);
dxSquared = gradExpected.mul(gradExpected);
msdxTmp.addi(dxSquared.muli(1 - rho));
msg.put(key, msgTmp);
msdx.put(key, msdxTmp);
}
assertEquals(rho, layer.conf().getLayer().getRho(), 1e-4);
}
}
/** Test pending ranges and write endpoints when multiple nodes are on the move simultaneously */
@Test
public void testSimultaneousMove() throws UnknownHostException {
StorageService ss = StorageService.instance;
final int RING_SIZE = 10;
TokenMetadata tmd = ss.getTokenMetadata();
tmd.clearUnsafe();
IPartitioner partitioner = RandomPartitioner.instance;
VersionedValue.VersionedValueFactory valueFactory =
new VersionedValue.VersionedValueFactory(partitioner);
ArrayList<Token> endpointTokens = new ArrayList<Token>();
ArrayList<Token> keyTokens = new ArrayList<Token>();
List<InetAddress> hosts = new ArrayList<InetAddress>();
List<UUID> hostIds = new ArrayList<UUID>();
// create a ring or 10 nodes
Util.createInitialRing(ss, partitioner, endpointTokens, keyTokens, hosts, hostIds, RING_SIZE);
// nodes 6, 8 and 9 leave
final int[] LEAVING = new int[] {6, 8, 9};
for (int leaving : LEAVING)
ss.onChange(
hosts.get(leaving),
ApplicationState.STATUS,
valueFactory.leaving(Collections.singleton(endpointTokens.get(leaving))));
// boot two new nodes with keyTokens.get(5) and keyTokens.get(7)
InetAddress boot1 = InetAddress.getByName("127.0.1.1");
Gossiper.instance.initializeNodeUnsafe(boot1, UUID.randomUUID(), 1);
Gossiper.instance.injectApplicationState(
boot1,
ApplicationState.TOKENS,
valueFactory.tokens(Collections.singleton(keyTokens.get(5))));
ss.onChange(
boot1,
ApplicationState.STATUS,
valueFactory.bootstrapping(Collections.<Token>singleton(keyTokens.get(5))));
InetAddress boot2 = InetAddress.getByName("127.0.1.2");
Gossiper.instance.initializeNodeUnsafe(boot2, UUID.randomUUID(), 1);
Gossiper.instance.injectApplicationState(
boot2,
ApplicationState.TOKENS,
valueFactory.tokens(Collections.singleton(keyTokens.get(7))));
ss.onChange(
boot2,
ApplicationState.STATUS,
valueFactory.bootstrapping(Collections.<Token>singleton(keyTokens.get(7))));
Collection<InetAddress> endpoints = null;
/* don't require test update every time a new keyspace is added to test/conf/cassandra.yaml */
Map<String, AbstractReplicationStrategy> keyspaceStrategyMap =
new HashMap<String, AbstractReplicationStrategy>();
for (int i = 1; i <= 4; i++) {
keyspaceStrategyMap.put(
"LeaveAndBootstrapTestKeyspace" + i,
getStrategy("LeaveAndBootstrapTestKeyspace" + i, tmd));
}
// pre-calculate the results.
Map<String, Multimap<Token, InetAddress>> expectedEndpoints =
new HashMap<String, Multimap<Token, InetAddress>>();
expectedEndpoints.put(KEYSPACE1, HashMultimap.<Token, InetAddress>create());
expectedEndpoints.get(KEYSPACE1).putAll(new BigIntegerToken("5"), makeAddrs("127.0.0.2"));
expectedEndpoints.get(KEYSPACE1).putAll(new BigIntegerToken("15"), makeAddrs("127.0.0.3"));
expectedEndpoints.get(KEYSPACE1).putAll(new BigIntegerToken("25"), makeAddrs("127.0.0.4"));
expectedEndpoints.get(KEYSPACE1).putAll(new BigIntegerToken("35"), makeAddrs("127.0.0.5"));
expectedEndpoints.get(KEYSPACE1).putAll(new BigIntegerToken("45"), makeAddrs("127.0.0.6"));
expectedEndpoints
.get(KEYSPACE1)
.putAll(new BigIntegerToken("55"), makeAddrs("127.0.0.7", "127.0.0.8", "127.0.1.1"));
expectedEndpoints.get(KEYSPACE1).putAll(new BigIntegerToken("65"), makeAddrs("127.0.0.8"));
expectedEndpoints
.get(KEYSPACE1)
.putAll(new BigIntegerToken("75"), makeAddrs("127.0.0.9", "127.0.1.2", "127.0.0.1"));
expectedEndpoints
.get(KEYSPACE1)
.putAll(new BigIntegerToken("85"), makeAddrs("127.0.0.10", "127.0.0.1"));
expectedEndpoints.get(KEYSPACE1).putAll(new BigIntegerToken("95"), makeAddrs("127.0.0.1"));
expectedEndpoints.put(KEYSPACE2, HashMultimap.<Token, InetAddress>create());
expectedEndpoints.get(KEYSPACE2).putAll(new BigIntegerToken("5"), makeAddrs("127.0.0.2"));
expectedEndpoints.get(KEYSPACE2).putAll(new BigIntegerToken("15"), makeAddrs("127.0.0.3"));
expectedEndpoints.get(KEYSPACE2).putAll(new BigIntegerToken("25"), makeAddrs("127.0.0.4"));
expectedEndpoints.get(KEYSPACE2).putAll(new BigIntegerToken("35"), makeAddrs("127.0.0.5"));
expectedEndpoints.get(KEYSPACE2).putAll(new BigIntegerToken("45"), makeAddrs("127.0.0.6"));
expectedEndpoints
.get(KEYSPACE2)
.putAll(new BigIntegerToken("55"), makeAddrs("127.0.0.7", "127.0.0.8", "127.0.1.1"));
expectedEndpoints.get(KEYSPACE2).putAll(new BigIntegerToken("65"), makeAddrs("127.0.0.8"));
expectedEndpoints
.get(KEYSPACE2)
.putAll(new BigIntegerToken("75"), makeAddrs("127.0.0.9", "127.0.1.2", "127.0.0.1"));
expectedEndpoints
.get(KEYSPACE2)
.putAll(new BigIntegerToken("85"), makeAddrs("127.0.0.10", "127.0.0.1"));
expectedEndpoints.get(KEYSPACE2).putAll(new BigIntegerToken("95"), makeAddrs("127.0.0.1"));
expectedEndpoints.put(KEYSPACE3, HashMultimap.<Token, InetAddress>create());
expectedEndpoints
.get(KEYSPACE3)
.putAll(
new BigIntegerToken("5"),
makeAddrs("127.0.0.2", "127.0.0.3", "127.0.0.4", "127.0.0.5", "127.0.0.6"));
expectedEndpoints
.get(KEYSPACE3)
.putAll(
new BigIntegerToken("15"),
makeAddrs(
"127.0.0.3",
"127.0.0.4",
"127.0.0.5",
"127.0.0.6",
"127.0.0.7",
"127.0.1.1",
"127.0.0.8"));
expectedEndpoints
.get(KEYSPACE3)
.putAll(
new BigIntegerToken("25"),
makeAddrs(
"127.0.0.4",
"127.0.0.5",
"127.0.0.6",
"127.0.0.7",
"127.0.0.8",
"127.0.1.2",
"127.0.0.1",
"127.0.1.1"));
expectedEndpoints
.get(KEYSPACE3)
.putAll(
new BigIntegerToken("35"),
makeAddrs(
"127.0.0.5",
"127.0.0.6",
"127.0.0.7",
"127.0.0.8",
"127.0.0.9",
"127.0.1.2",
"127.0.0.1",
"127.0.0.2",
"127.0.1.1"));
expectedEndpoints
.get(KEYSPACE3)
.putAll(
new BigIntegerToken("45"),
makeAddrs(
"127.0.0.6",
"127.0.0.7",
"127.0.0.8",
"127.0.0.9",
"127.0.0.10",
"127.0.1.2",
"127.0.0.1",
"127.0.0.2",
"127.0.1.1",
"127.0.0.3"));
expectedEndpoints
.get(KEYSPACE3)
.putAll(
new BigIntegerToken("55"),
makeAddrs(
"127.0.0.7",
"127.0.0.8",
"127.0.0.9",
"127.0.0.10",
"127.0.0.1",
"127.0.0.2",
"127.0.0.3",
"127.0.0.4",
"127.0.1.1",
"127.0.1.2"));
expectedEndpoints
.get(KEYSPACE3)
.putAll(
new BigIntegerToken("65"),
makeAddrs(
"127.0.0.8",
"127.0.0.9",
"127.0.0.10",
"127.0.0.1",
"127.0.0.2",
"127.0.1.2",
"127.0.0.3",
"127.0.0.4"));
expectedEndpoints
.get(KEYSPACE3)
.putAll(
new BigIntegerToken("75"),
makeAddrs(
"127.0.0.9",
"127.0.0.10",
"127.0.0.1",
"127.0.0.2",
"127.0.0.3",
"127.0.1.2",
"127.0.0.4",
"127.0.0.5"));
expectedEndpoints
.get(KEYSPACE3)
.putAll(
new BigIntegerToken("85"),
makeAddrs(
"127.0.0.10", "127.0.0.1", "127.0.0.2", "127.0.0.3", "127.0.0.4", "127.0.0.5"));
expectedEndpoints
.get(KEYSPACE3)
.putAll(
new BigIntegerToken("95"),
makeAddrs("127.0.0.1", "127.0.0.2", "127.0.0.3", "127.0.0.4", "127.0.0.5"));
expectedEndpoints.put(KEYSPACE4, HashMultimap.<Token, InetAddress>create());
expectedEndpoints
.get(KEYSPACE4)
.putAll(new BigIntegerToken("5"), makeAddrs("127.0.0.2", "127.0.0.3", "127.0.0.4"));
expectedEndpoints
.get(KEYSPACE4)
.putAll(new BigIntegerToken("15"), makeAddrs("127.0.0.3", "127.0.0.4", "127.0.0.5"));
expectedEndpoints
.get(KEYSPACE4)
.putAll(new BigIntegerToken("25"), makeAddrs("127.0.0.4", "127.0.0.5", "127.0.0.6"));
expectedEndpoints
.get(KEYSPACE4)
.putAll(
new BigIntegerToken("35"),
makeAddrs("127.0.0.5", "127.0.0.6", "127.0.0.7", "127.0.1.1", "127.0.0.8"));
expectedEndpoints
.get(KEYSPACE4)
.putAll(
new BigIntegerToken("45"),
makeAddrs(
"127.0.0.6", "127.0.0.7", "127.0.0.8", "127.0.1.2", "127.0.0.1", "127.0.1.1"));
expectedEndpoints
.get(KEYSPACE4)
.putAll(
new BigIntegerToken("55"),
makeAddrs(
"127.0.0.7",
"127.0.0.8",
"127.0.0.9",
"127.0.0.1",
"127.0.0.2",
"127.0.1.1",
"127.0.1.2"));
expectedEndpoints
.get(KEYSPACE4)
.putAll(
new BigIntegerToken("65"),
makeAddrs(
"127.0.0.8", "127.0.0.9", "127.0.0.10", "127.0.1.2", "127.0.0.1", "127.0.0.2"));
expectedEndpoints
.get(KEYSPACE4)
.putAll(
new BigIntegerToken("75"),
makeAddrs(
"127.0.0.9", "127.0.0.10", "127.0.0.1", "127.0.1.2", "127.0.0.2", "127.0.0.3"));
expectedEndpoints
.get(KEYSPACE4)
.putAll(
new BigIntegerToken("85"),
makeAddrs("127.0.0.10", "127.0.0.1", "127.0.0.2", "127.0.0.3"));
expectedEndpoints
.get(KEYSPACE4)
.putAll(new BigIntegerToken("95"), makeAddrs("127.0.0.1", "127.0.0.2", "127.0.0.3"));
PendingRangeCalculatorService.instance.blockUntilFinished();
for (Map.Entry<String, AbstractReplicationStrategy> keyspaceStrategy :
keyspaceStrategyMap.entrySet()) {
String keyspaceName = keyspaceStrategy.getKey();
AbstractReplicationStrategy strategy = keyspaceStrategy.getValue();
for (int i = 0; i < keyTokens.size(); i++) {
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(i), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(i)));
assertEquals(
expectedEndpoints.get(keyspaceName).get(keyTokens.get(i)).size(), endpoints.size());
assertTrue(
expectedEndpoints.get(keyspaceName).get(keyTokens.get(i)).containsAll(endpoints));
}
// just to be sure that things still work according to the old tests, run them:
if (strategy.getReplicationFactor() != 3) continue;
// tokens 5, 15 and 25 should go three nodes
for (int i = 0; i < 3; ++i) {
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(i), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(i)));
assertEquals(3, endpoints.size());
assertTrue(endpoints.contains(hosts.get(i + 1)));
assertTrue(endpoints.contains(hosts.get(i + 2)));
assertTrue(endpoints.contains(hosts.get(i + 3)));
}
// token 35 should go to nodes 4, 5, 6, 7 and boot1
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(3), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(3)));
assertEquals(5, endpoints.size());
assertTrue(endpoints.contains(hosts.get(4)));
assertTrue(endpoints.contains(hosts.get(5)));
assertTrue(endpoints.contains(hosts.get(6)));
assertTrue(endpoints.contains(hosts.get(7)));
assertTrue(endpoints.contains(boot1));
// token 45 should go to nodes 5, 6, 7, 0, boot1 and boot2
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(4), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(4)));
assertEquals(6, endpoints.size());
assertTrue(endpoints.contains(hosts.get(5)));
assertTrue(endpoints.contains(hosts.get(6)));
assertTrue(endpoints.contains(hosts.get(7)));
assertTrue(endpoints.contains(hosts.get(0)));
assertTrue(endpoints.contains(boot1));
assertTrue(endpoints.contains(boot2));
// token 55 should go to nodes 6, 7, 8, 0, 1, boot1 and boot2
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(5), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(5)));
assertEquals(7, endpoints.size());
assertTrue(endpoints.contains(hosts.get(6)));
assertTrue(endpoints.contains(hosts.get(7)));
assertTrue(endpoints.contains(hosts.get(8)));
assertTrue(endpoints.contains(hosts.get(0)));
assertTrue(endpoints.contains(hosts.get(1)));
assertTrue(endpoints.contains(boot1));
assertTrue(endpoints.contains(boot2));
// token 65 should go to nodes 7, 8, 9, 0, 1 and boot2
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(6), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(6)));
assertEquals(6, endpoints.size());
assertTrue(endpoints.contains(hosts.get(7)));
assertTrue(endpoints.contains(hosts.get(8)));
assertTrue(endpoints.contains(hosts.get(9)));
assertTrue(endpoints.contains(hosts.get(0)));
assertTrue(endpoints.contains(hosts.get(1)));
assertTrue(endpoints.contains(boot2));
// token 75 should to go nodes 8, 9, 0, 1, 2 and boot2
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(7), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(7)));
assertEquals(6, endpoints.size());
assertTrue(endpoints.contains(hosts.get(8)));
assertTrue(endpoints.contains(hosts.get(9)));
assertTrue(endpoints.contains(hosts.get(0)));
assertTrue(endpoints.contains(hosts.get(1)));
assertTrue(endpoints.contains(hosts.get(2)));
assertTrue(endpoints.contains(boot2));
// token 85 should go to nodes 9, 0, 1 and 2
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(8), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(8)));
assertEquals(4, endpoints.size());
assertTrue(endpoints.contains(hosts.get(9)));
assertTrue(endpoints.contains(hosts.get(0)));
assertTrue(endpoints.contains(hosts.get(1)));
assertTrue(endpoints.contains(hosts.get(2)));
// token 95 should go to nodes 0, 1 and 2
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(9), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(9)));
assertEquals(3, endpoints.size());
assertTrue(endpoints.contains(hosts.get(0)));
assertTrue(endpoints.contains(hosts.get(1)));
assertTrue(endpoints.contains(hosts.get(2)));
}
// Now finish node 6 and node 9 leaving, as well as boot1 (after this node 8 is still
// leaving and boot2 in progress
ss.onChange(
hosts.get(LEAVING[0]),
ApplicationState.STATUS,
valueFactory.left(
Collections.singleton(endpointTokens.get(LEAVING[0])), Gossiper.computeExpireTime()));
ss.onChange(
hosts.get(LEAVING[2]),
ApplicationState.STATUS,
valueFactory.left(
Collections.singleton(endpointTokens.get(LEAVING[2])), Gossiper.computeExpireTime()));
ss.onChange(
boot1,
ApplicationState.STATUS,
valueFactory.normal(Collections.singleton(keyTokens.get(5))));
// adjust precalcuated results. this changes what the epected endpoints are.
expectedEndpoints
.get(KEYSPACE1)
.get(new BigIntegerToken("55"))
.removeAll(makeAddrs("127.0.0.7", "127.0.0.8"));
expectedEndpoints
.get(KEYSPACE1)
.get(new BigIntegerToken("85"))
.removeAll(makeAddrs("127.0.0.10"));
expectedEndpoints
.get(KEYSPACE2)
.get(new BigIntegerToken("55"))
.removeAll(makeAddrs("127.0.0.7", "127.0.0.8"));
expectedEndpoints
.get(KEYSPACE2)
.get(new BigIntegerToken("85"))
.removeAll(makeAddrs("127.0.0.10"));
expectedEndpoints
.get(KEYSPACE3)
.get(new BigIntegerToken("15"))
.removeAll(makeAddrs("127.0.0.7", "127.0.0.8"));
expectedEndpoints
.get(KEYSPACE3)
.get(new BigIntegerToken("25"))
.removeAll(makeAddrs("127.0.0.7", "127.0.1.2", "127.0.0.1"));
expectedEndpoints
.get(KEYSPACE3)
.get(new BigIntegerToken("35"))
.removeAll(makeAddrs("127.0.0.7", "127.0.0.2"));
expectedEndpoints
.get(KEYSPACE3)
.get(new BigIntegerToken("45"))
.removeAll(makeAddrs("127.0.0.7", "127.0.0.10", "127.0.0.3"));
expectedEndpoints
.get(KEYSPACE3)
.get(new BigIntegerToken("55"))
.removeAll(makeAddrs("127.0.0.7", "127.0.0.10", "127.0.0.4"));
expectedEndpoints
.get(KEYSPACE3)
.get(new BigIntegerToken("65"))
.removeAll(makeAddrs("127.0.0.10"));
expectedEndpoints
.get(KEYSPACE3)
.get(new BigIntegerToken("75"))
.removeAll(makeAddrs("127.0.0.10"));
expectedEndpoints
.get(KEYSPACE3)
.get(new BigIntegerToken("85"))
.removeAll(makeAddrs("127.0.0.10"));
expectedEndpoints
.get(KEYSPACE4)
.get(new BigIntegerToken("35"))
.removeAll(makeAddrs("127.0.0.7", "127.0.0.8"));
expectedEndpoints
.get(KEYSPACE4)
.get(new BigIntegerToken("45"))
.removeAll(makeAddrs("127.0.0.7", "127.0.1.2", "127.0.0.1"));
expectedEndpoints
.get(KEYSPACE4)
.get(new BigIntegerToken("55"))
.removeAll(makeAddrs("127.0.0.2", "127.0.0.7"));
expectedEndpoints
.get(KEYSPACE4)
.get(new BigIntegerToken("65"))
.removeAll(makeAddrs("127.0.0.10"));
expectedEndpoints
.get(KEYSPACE4)
.get(new BigIntegerToken("75"))
.removeAll(makeAddrs("127.0.0.10"));
expectedEndpoints
.get(KEYSPACE4)
.get(new BigIntegerToken("85"))
.removeAll(makeAddrs("127.0.0.10"));
PendingRangeCalculatorService.instance.blockUntilFinished();
for (Map.Entry<String, AbstractReplicationStrategy> keyspaceStrategy :
keyspaceStrategyMap.entrySet()) {
String keyspaceName = keyspaceStrategy.getKey();
AbstractReplicationStrategy strategy = keyspaceStrategy.getValue();
for (int i = 0; i < keyTokens.size(); i++) {
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(i), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(i)));
assertEquals(
expectedEndpoints.get(keyspaceName).get(keyTokens.get(i)).size(), endpoints.size());
assertTrue(
expectedEndpoints.get(keyspaceName).get(keyTokens.get(i)).containsAll(endpoints));
}
if (strategy.getReplicationFactor() != 3) continue;
// leave this stuff in to guarantee the old tests work the way they were supposed to.
// tokens 5, 15 and 25 should go three nodes
for (int i = 0; i < 3; ++i) {
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(i), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(i)));
assertEquals(3, endpoints.size());
assertTrue(endpoints.contains(hosts.get(i + 1)));
assertTrue(endpoints.contains(hosts.get(i + 2)));
assertTrue(endpoints.contains(hosts.get(i + 3)));
}
// token 35 goes to nodes 4, 5 and boot1
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(3), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(3)));
assertEquals(3, endpoints.size());
assertTrue(endpoints.contains(hosts.get(4)));
assertTrue(endpoints.contains(hosts.get(5)));
assertTrue(endpoints.contains(boot1));
// token 45 goes to nodes 5, boot1 and node7
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(4), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(4)));
assertEquals(3, endpoints.size());
assertTrue(endpoints.contains(hosts.get(5)));
assertTrue(endpoints.contains(boot1));
assertTrue(endpoints.contains(hosts.get(7)));
// token 55 goes to boot1, 7, boot2, 8 and 0
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(5), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(5)));
assertEquals(5, endpoints.size());
assertTrue(endpoints.contains(boot1));
assertTrue(endpoints.contains(hosts.get(7)));
assertTrue(endpoints.contains(boot2));
assertTrue(endpoints.contains(hosts.get(8)));
assertTrue(endpoints.contains(hosts.get(0)));
// token 65 goes to nodes 7, boot2, 8, 0 and 1
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(6), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(6)));
assertEquals(5, endpoints.size());
assertTrue(endpoints.contains(hosts.get(7)));
assertTrue(endpoints.contains(boot2));
assertTrue(endpoints.contains(hosts.get(8)));
assertTrue(endpoints.contains(hosts.get(0)));
assertTrue(endpoints.contains(hosts.get(1)));
// token 75 goes to nodes boot2, 8, 0, 1 and 2
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(7), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(7)));
assertEquals(5, endpoints.size());
assertTrue(endpoints.contains(boot2));
assertTrue(endpoints.contains(hosts.get(8)));
assertTrue(endpoints.contains(hosts.get(0)));
assertTrue(endpoints.contains(hosts.get(1)));
assertTrue(endpoints.contains(hosts.get(2)));
// token 85 goes to nodes 0, 1 and 2
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(8), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(8)));
assertEquals(3, endpoints.size());
assertTrue(endpoints.contains(hosts.get(0)));
assertTrue(endpoints.contains(hosts.get(1)));
assertTrue(endpoints.contains(hosts.get(2)));
// token 95 goes to nodes 0, 1 and 2
endpoints =
tmd.getWriteEndpoints(
keyTokens.get(9), keyspaceName, strategy.getNaturalEndpoints(keyTokens.get(9)));
assertEquals(3, endpoints.size());
assertTrue(endpoints.contains(hosts.get(0)));
assertTrue(endpoints.contains(hosts.get(1)));
assertTrue(endpoints.contains(hosts.get(2)));
}
}
private BuildResult doRun(
final OutputListenerImpl outputListener,
OutputListenerImpl errorListener,
BuildListenerImpl listener) {
// Capture the current state of things that we will change during execution
InputStream originalStdIn = System.in;
Properties originalSysProperties = new Properties();
originalSysProperties.putAll(System.getProperties());
File originalUserDir = new File(originalSysProperties.getProperty("user.dir"));
Map<String, String> originalEnv = new HashMap<String, String>(System.getenv());
// Augment the environment for the execution
System.setIn(getStdin());
processEnvironment.maybeSetProcessDir(getWorkingDir());
for (Map.Entry<String, String> entry : getEnvironmentVars().entrySet()) {
processEnvironment.maybeSetEnvironmentVariable(entry.getKey(), entry.getValue());
}
Map<String, String> implicitJvmSystemProperties = getImplicitJvmSystemProperties();
System.getProperties().putAll(implicitJvmSystemProperties);
DefaultStartParameter parameter = new DefaultStartParameter();
parameter.setCurrentDir(getWorkingDir());
parameter.setShowStacktrace(ShowStacktrace.ALWAYS);
CommandLineParser parser = new CommandLineParser();
DefaultCommandLineConverter converter = new DefaultCommandLineConverter();
converter.configure(parser);
ParsedCommandLine parsedCommandLine = parser.parse(getAllArgs());
BuildLayoutParameters layout = converter.getLayoutConverter().convert(parsedCommandLine);
Map<String, String> properties = new HashMap<String, String>();
new LayoutToPropertiesConverter().convert(layout, properties);
converter.getSystemPropertiesConverter().convert(parsedCommandLine, properties);
new PropertiesToStartParameterConverter().convert(properties, parameter);
converter.convert(parsedCommandLine, parameter);
DefaultGradleLauncherFactory factory =
DeprecationLogger.whileDisabled(
new Factory<DefaultGradleLauncherFactory>() {
public DefaultGradleLauncherFactory create() {
return (DefaultGradleLauncherFactory) GradleLauncher.getFactory();
}
});
factory.addListener(listener);
GradleLauncher gradleLauncher = factory.newInstance(parameter);
gradleLauncher.addStandardOutputListener(outputListener);
gradleLauncher.addStandardErrorListener(errorListener);
try {
return gradleLauncher.run();
} finally {
// Restore the environment
System.setProperties(originalSysProperties);
processEnvironment.maybeSetProcessDir(originalUserDir);
for (String envVar : getEnvironmentVars().keySet()) {
String oldValue = originalEnv.get(envVar);
if (oldValue != null) {
processEnvironment.maybeSetEnvironmentVariable(envVar, oldValue);
} else {
processEnvironment.maybeRemoveEnvironmentVariable(envVar);
}
}
factory.removeListener(listener);
System.setIn(originalStdIn);
}
}
