use of com.github.ambry.server.StatsReportType in project ambry by linkedin.
the class HelixClusterAggregatorTest method testDoWorkWithDiffNodeStats.
/**
* Tests to verify cluster aggregation with node stats that contain different partition stats.
* @throws IOException
*/
@Test
public void testDoWorkWithDiffNodeStats() throws IOException {
long seed = 1234;
for (StatsReportType type : EnumSet.of(StatsReportType.ACCOUNT_REPORT, StatsReportType.PARTITION_CLASS_REPORT)) {
List<StatsSnapshot> greaterStoreSnapshots = new ArrayList<>();
List<StatsSnapshot> smallerStoreSnapshots = new ArrayList<>();
List<StatsSnapshot> mediumStoreSnapshots = new ArrayList<>();
greaterStoreSnapshots.add(TestUtils.generateStoreStats(6, 3, new Random(seed), type));
mediumStoreSnapshots.add(TestUtils.generateStoreStats(5, 3, new Random(seed), type));
smallerStoreSnapshots.add(TestUtils.generateStoreStats(5, 3, new Random(seed), type));
StatsWrapper greaterNodeStats = TestUtils.generateNodeStats(greaterStoreSnapshots, DEFAULT_TIMESTAMP, type);
StatsWrapper mediumNodeStats = TestUtils.generateNodeStats(mediumStoreSnapshots, DEFAULT_TIMESTAMP, type);
StatsWrapper smallerNodeStats = TestUtils.generateNodeStats(smallerStoreSnapshots, DEFAULT_TIMESTAMP, type);
StatsWrapper emptyNodeStats = TestUtils.generateNodeStats(Collections.emptyList(), DEFAULT_TIMESTAMP, type);
Map<String, String> instanceToStatsMap = new LinkedHashMap<>();
instanceToStatsMap.put("Instance_0", mapper.writeValueAsString(smallerNodeStats));
instanceToStatsMap.put("Instance_1", mapper.writeValueAsString(greaterNodeStats));
instanceToStatsMap.put("Instance_2", mapper.writeValueAsString(mediumNodeStats));
instanceToStatsMap.put("Instance_3", mapper.writeValueAsString(emptyNodeStats));
instanceToStatsMap.put(EXCEPTION_INSTANCE_NAME, "");
Pair<StatsSnapshot, StatsSnapshot> aggregatedRawAndValidStats = clusterAggregator.doWork(instanceToStatsMap, type);
StatsSnapshot expectedRawSnapshot = new StatsSnapshot(0L, new HashMap<>());
StatsSnapshot expectedValidSnapshot = null;
switch(type) {
case ACCOUNT_REPORT:
StatsSnapshot.aggregate(expectedRawSnapshot, smallerStoreSnapshots.get(0));
StatsSnapshot.aggregate(expectedRawSnapshot, mediumStoreSnapshots.get(0));
StatsSnapshot.aggregate(expectedRawSnapshot, greaterStoreSnapshots.get(0));
expectedValidSnapshot = greaterStoreSnapshots.get(0);
break;
case PARTITION_CLASS_REPORT:
expectedValidSnapshot = HelixClusterAggregator.reduceByPartitionClass(greaterNodeStats.getSnapshot());
StatsSnapshot.aggregate(expectedRawSnapshot, mediumNodeStats.getSnapshot());
StatsSnapshot.aggregate(expectedRawSnapshot, smallerNodeStats.getSnapshot());
StatsSnapshot.aggregate(expectedRawSnapshot, greaterNodeStats.getSnapshot());
expectedRawSnapshot = HelixClusterAggregator.reduceByPartitionClass(expectedRawSnapshot);
break;
}
// verify cluster wide aggregation on raw data with different node stats
StatsSnapshot rawSnapshot = mapper.readValue(mapper.writeValueAsString(aggregatedRawAndValidStats.getFirst()), StatsSnapshot.class);
assertTrue("Mismatch in the raw aggregated snapshot for " + type, expectedRawSnapshot.equals(rawSnapshot));
// verify cluster wide aggregation on valid data with different node stats
StatsSnapshot actualSnapshot = mapper.readValue(mapper.writeValueAsString(aggregatedRawAndValidStats.getSecond()), StatsSnapshot.class);
assertTrue("Mismatch in the valid aggregated snapshot for " + type, expectedValidSnapshot.equals(actualSnapshot));
// verify aggregator keeps track of instances where exception occurred.
assertEquals("Mismatch in instances where exception occurred", Collections.singletonList(EXCEPTION_INSTANCE_NAME), clusterAggregator.getExceptionOccurredInstances(type));
}
}
use of com.github.ambry.server.StatsReportType in project ambry by linkedin.
the class HelixClusterAggregatorTest method testDoWorkBasic.
/**
* Basic tests to verify the cluster wide raw data and valid data aggregation. The tests also verify stats aggregation
* for all types of stats reports.
* @throws IOException
*/
@Test
public void testDoWorkBasic() throws IOException {
int nodeCount = 3;
Random random = new Random();
// For each type of report, create snapshots for 3 stores with 3 accounts, 4 accounts and 5 accounts respectively.
for (StatsReportType type : EnumSet.of(StatsReportType.ACCOUNT_REPORT, StatsReportType.PARTITION_CLASS_REPORT)) {
List<StatsSnapshot> storeSnapshots = new ArrayList<>();
for (int i = 3; i < 6; i++) {
storeSnapshots.add(TestUtils.generateStoreStats(i, 3, random, type));
}
StatsWrapper nodeStats = TestUtils.generateNodeStats(storeSnapshots, DEFAULT_TIMESTAMP, type);
String nodeStatsJSON = mapper.writeValueAsString(nodeStats);
StatsWrapper emptyNodeStats = TestUtils.generateNodeStats(Collections.emptyList(), DEFAULT_TIMESTAMP, type);
String emptyStatsJSON = mapper.writeValueAsString(emptyNodeStats);
Map<String, String> instanceToStatsMap = new HashMap<>();
// selects the replica with highest value.
for (int i = 0; i < nodeCount; i++) {
instanceToStatsMap.put("Instance_" + i, nodeStatsJSON);
}
// Add two special cases into instance-to-stats map for testing:
// (1) empty stats report from certain instance
// (2) corrupted/invalid stats report from certain instance (this is simulated by empty string)
instanceToStatsMap.put("Instance_" + nodeCount, emptyStatsJSON);
instanceToStatsMap.put(EXCEPTION_INSTANCE_NAME, "");
// 1. Aggregate all snapshots into the first snapshot in snapshots list. The intention is to get expected aggregated snapshot.
// 2. Then invoke clusterAggregator to do work on stats across all instances.
// 3. Verify both raw stats and valid stats after aggregation
Pair<StatsSnapshot, StatsSnapshot> aggregatedRawAndValidStats = clusterAggregator.doWork(instanceToStatsMap, type);
StatsSnapshot expectedSnapshot = null;
switch(type) {
case ACCOUNT_REPORT:
// we expect for valid data aggregation.
for (int i = 1; i < storeSnapshots.size(); i++) {
StatsSnapshot.aggregate(storeSnapshots.get(0), storeSnapshots.get(i));
}
expectedSnapshot = storeSnapshots.get(0);
break;
case PARTITION_CLASS_REPORT:
// Invoke reduceByPartitionClass to remove partition level and only keep the partition class and account_container entries
expectedSnapshot = HelixClusterAggregator.reduceByPartitionClass(nodeStats.getSnapshot());
break;
}
// Verify cluster wide raw stats aggregation
StatsSnapshot rawSnapshot = mapper.readValue(mapper.writeValueAsString(aggregatedRawAndValidStats.getFirst()), StatsSnapshot.class);
assertEquals("Mismatch in total value of " + type, nodeCount * expectedSnapshot.getValue(), rawSnapshot.getValue());
if (type == StatsReportType.ACCOUNT_REPORT) {
verifyAggregatedRawStatsForAccountReport(rawSnapshot, expectedSnapshot, nodeCount);
} else if (type == StatsReportType.PARTITION_CLASS_REPORT) {
verifyAggregatedRawStatsForPartitionClassReport(rawSnapshot, expectedSnapshot, nodeCount);
}
// Verify cluster wide stats aggregation
StatsSnapshot actualSnapshot = mapper.readValue(mapper.writeValueAsString(aggregatedRawAndValidStats.getSecond()), StatsSnapshot.class);
assertTrue("Mismatch in the aggregated snapshot", expectedSnapshot.equals(actualSnapshot));
// Verify aggregator keeps track of instances where exception occurred.
assertEquals("Mismatch in instances where exception occurred", Collections.singletonList(EXCEPTION_INSTANCE_NAME), clusterAggregator.getExceptionOccurredInstances(type));
}
}
use of com.github.ambry.server.StatsReportType in project ambry by linkedin.
the class HelixClusterAggregatorTest method testStatsAggregationWithAllEmptyNodes.
/**
* Tests to verify cluster aggregation with all empty nodes.
* @throws IOException
*/
@Test
public void testStatsAggregationWithAllEmptyNodes() throws IOException {
int nodeCount = 3;
for (StatsReportType type : EnumSet.of(StatsReportType.ACCOUNT_REPORT, StatsReportType.PARTITION_CLASS_REPORT)) {
StatsWrapper emptyNodeStats = TestUtils.generateNodeStats(Collections.emptyList(), DEFAULT_TIMESTAMP, type);
String emptyStatsJSON = mapper.writeValueAsString(emptyNodeStats);
Map<String, String> instanceToStatsMap = new HashMap<>();
for (int i = 0; i < nodeCount; i++) {
instanceToStatsMap.put("Instance_" + i, emptyStatsJSON);
}
Pair<StatsSnapshot, StatsSnapshot> aggregatedRawAndValidStats = clusterAggregator.doWork(instanceToStatsMap, type);
StatsSnapshot expectedSnapshot = new StatsSnapshot(0L, null);
StatsSnapshot rawSnapshot = mapper.readValue(mapper.writeValueAsString(aggregatedRawAndValidStats.getFirst()), StatsSnapshot.class);
StatsSnapshot validSnapshot = mapper.readValue(mapper.writeValueAsString(aggregatedRawAndValidStats.getSecond()), StatsSnapshot.class);
assertTrue("Mismatch in raw snapshot", expectedSnapshot.equals(rawSnapshot));
assertTrue("Mismatch in valid snapshot", expectedSnapshot.equals(validSnapshot));
}
}
use of com.github.ambry.server.StatsReportType in project ambry by linkedin.
the class HelixClusterAggregatorTest method testStatsAggregationWithZeroValueSnapshots.
/**
* Test removing zero value snapshots from aggregated result.
* @throws IOException
*/
@Test
public void testStatsAggregationWithZeroValueSnapshots() throws IOException {
int nodeCount = 3;
Random random = new Random();
// For each type of report, create snapshots for 3 stores with 3 accounts, 4 accounts and 5 accounts respectively.
for (StatsReportType type : EnumSet.of(StatsReportType.ACCOUNT_REPORT, StatsReportType.PARTITION_CLASS_REPORT)) {
List<StatsSnapshot> storeSnapshots = new ArrayList<>();
for (int i = 3; i < 6; i++) {
storeSnapshots.add(TestUtils.generateStoreStats(i, 3, random, type));
}
// add zero value to the first snapshot
if (type == StatsReportType.ACCOUNT_REPORT) {
Map<String, StatsSnapshot> accountStatsSnapshotMap = storeSnapshots.get(0).getSubMap();
accountStatsSnapshotMap.put("A[100]", new StatsSnapshot(0L, new HashMap<String, StatsSnapshot>() {
{
put("C[100]", new StatsSnapshot(0L, null));
}
}));
} else {
Map<String, StatsSnapshot> accountContainerStatsSnapshotMap = storeSnapshots.get(0).getSubMap();
accountContainerStatsSnapshotMap.put("A[100]_C[100]", new StatsSnapshot(0L, null));
}
StatsWrapper nodeStats = TestUtils.generateNodeStats(storeSnapshots, DEFAULT_TIMESTAMP, type);
String nodeStatsJSON = mapper.writeValueAsString(nodeStats);
Map<String, String> instanceToStatsMap = new HashMap<>();
for (int i = 0; i < nodeCount; i++) {
instanceToStatsMap.put("Instance_" + i, nodeStatsJSON);
}
// 1. Aggregate all snapshots into the first snapshot in snapshots list. The intention is to get expected aggregated snapshot.
// 2. Then invoke clusterAggregator to do work on stats across all instances.
// 3. Verify both raw stats and valid stats after aggregation
Pair<StatsSnapshot, StatsSnapshot> aggregatedRawAndValidStats = clusterAggregator.doWork(instanceToStatsMap, type);
// Remove 0 values snapshots first
StatsSnapshot expectedSnapshot = null;
switch(type) {
case ACCOUNT_REPORT:
storeSnapshots.get(0).getSubMap().remove("A[100]");
// we expect for valid data aggregation.
for (int i = 1; i < storeSnapshots.size(); i++) {
StatsSnapshot.aggregate(storeSnapshots.get(0), storeSnapshots.get(i));
}
expectedSnapshot = storeSnapshots.get(0);
break;
case PARTITION_CLASS_REPORT:
storeSnapshots.get(0).getSubMap().remove("A[100]_C[100]");
// Invoke reduceByPartitionClass to remove partition level and only keep the partition class and account_container entries
expectedSnapshot = HelixClusterAggregator.reduceByPartitionClass(nodeStats.getSnapshot());
break;
}
// Verify cluster wide raw stats aggregation
StatsSnapshot rawSnapshot = mapper.readValue(mapper.writeValueAsString(aggregatedRawAndValidStats.getFirst()), StatsSnapshot.class);
assertEquals("Mismatch in total value of " + type, nodeCount * expectedSnapshot.getValue(), rawSnapshot.getValue());
if (type == StatsReportType.ACCOUNT_REPORT) {
verifyAggregatedRawStatsForAccountReport(rawSnapshot, expectedSnapshot, nodeCount);
} else if (type == StatsReportType.PARTITION_CLASS_REPORT) {
verifyAggregatedRawStatsForPartitionClassReport(rawSnapshot, expectedSnapshot, nodeCount);
}
// Verify cluster wide stats aggregation
StatsSnapshot actualSnapshot = mapper.readValue(mapper.writeValueAsString(aggregatedRawAndValidStats.getSecond()), StatsSnapshot.class);
assertTrue("Mismatch in the aggregated snapshot", expectedSnapshot.equals(actualSnapshot));
}
}
use of com.github.ambry.server.StatsReportType in project ambry by linkedin.
the class HelixClusterAggregatorTest method testDoWorkWithOutdatedNode.
/**
* Tests to verify cluster wide aggregation with outdated node stats.
* @throws IOException
*/
@Test
public void testDoWorkWithOutdatedNode() throws IOException {
long seed = 1111;
for (StatsReportType type : EnumSet.of(StatsReportType.ACCOUNT_REPORT, StatsReportType.PARTITION_CLASS_REPORT)) {
List<StatsSnapshot> upToDateStoreSnapshots = new ArrayList<>();
List<StatsSnapshot> outdatedStoreSnapshots = new ArrayList<>();
upToDateStoreSnapshots.add(TestUtils.generateStoreStats(5, 3, new Random(seed), type));
outdatedStoreSnapshots.add(TestUtils.generateStoreStats(6, 3, new Random(seed), type));
StatsWrapper upToDateNodeStats = TestUtils.generateNodeStats(upToDateStoreSnapshots, TimeUnit.MINUTES.toMillis(2 * RELEVANT_PERIOD_IN_MINUTES), type);
StatsWrapper outdatedNodeStats = TestUtils.generateNodeStats(outdatedStoreSnapshots, 0, type);
StatsWrapper emptyNodeStats = TestUtils.generateNodeStats(Collections.emptyList(), TimeUnit.MINUTES.toMillis(2 * RELEVANT_PERIOD_IN_MINUTES), type);
Map<String, String> instanceToStatsMap = new LinkedHashMap<>();
instanceToStatsMap.put("Instance_0", mapper.writeValueAsString(outdatedNodeStats));
instanceToStatsMap.put("Instance_1", mapper.writeValueAsString(upToDateNodeStats));
instanceToStatsMap.put("Instance_2", mapper.writeValueAsString(emptyNodeStats));
instanceToStatsMap.put(EXCEPTION_INSTANCE_NAME, "");
Pair<StatsSnapshot, StatsSnapshot> aggregatedRawAndValidStats = clusterAggregator.doWork(instanceToStatsMap, type);
StatsSnapshot expectedValidSnapshot = null;
StatsSnapshot expectedRawSnapshot = new StatsSnapshot(0L, new HashMap<>());
switch(type) {
case ACCOUNT_REPORT:
expectedValidSnapshot = upToDateStoreSnapshots.get(0);
StatsSnapshot.aggregate(expectedRawSnapshot, outdatedStoreSnapshots.get(0));
StatsSnapshot.aggregate(expectedRawSnapshot, upToDateStoreSnapshots.get(0));
break;
case PARTITION_CLASS_REPORT:
expectedValidSnapshot = HelixClusterAggregator.reduceByPartitionClass(upToDateNodeStats.getSnapshot());
StatsSnapshot.aggregate(expectedRawSnapshot, outdatedNodeStats.getSnapshot());
StatsSnapshot.aggregate(expectedRawSnapshot, upToDateNodeStats.getSnapshot());
expectedRawSnapshot = HelixClusterAggregator.reduceByPartitionClass(expectedRawSnapshot);
break;
}
// verify cluster wide aggregation on raw stats with outdated node stats
StatsSnapshot rawSnapshot = mapper.readValue(mapper.writeValueAsString(aggregatedRawAndValidStats.getFirst()), StatsSnapshot.class);
assertTrue("Mismatch in the aggregated raw snapshot", expectedRawSnapshot.equals(rawSnapshot));
// verify cluster wide aggregation on valid stats with outdated node stats
StatsSnapshot actualSnapshot = mapper.readValue(mapper.writeValueAsString(aggregatedRawAndValidStats.getSecond()), StatsSnapshot.class);
assertTrue("Mismatch in the aggregated valid snapshot", expectedValidSnapshot.equals(actualSnapshot));
// verify aggregator keeps track of instances where exception occurred.
assertEquals("Mismatch in instances where exception occurred", Collections.singletonList(EXCEPTION_INSTANCE_NAME), clusterAggregator.getExceptionOccurredInstances(type));
}
}
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