Github user Thanu commented on a diff in the pull request:
https://github.com/apache/stratos/pull/403#discussion_r35297226
--- Diff:
components/org.apache.stratos.autoscaler/src/main/java/org/apache/stratos/autoscaler/rule/RuleTasksDelegator.java
---
@@ -44,347 +43,350 @@
*/
public class RuleTasksDelegator {
- private static boolean arspiIsSet = false;
-
- private static final Log log =
LogFactory.getLog(RuleTasksDelegator.class);
-
- public double getPredictedValueForNextMinute(float average, float
gradient, float secondDerivative, int timeInterval) {
- double predictedValue;
-// s = u * t + 0.5 * a * t * t
- if (log.isDebugEnabled()) {
- log.debug(String.format("Predicting the value, [average]: %s ,
[gradient]: %s , [second derivative] " +
- ": %s , [time intervals]: %s ", average, gradient,
secondDerivative, timeInterval));
- }
- predictedValue = average + gradient * timeInterval + 0.5 *
secondDerivative * timeInterval * timeInterval;
-
- return predictedValue;
- }
-
-
- public int getNumberOfInstancesRequiredBasedOnRif(float
rifPredictedValue, float rifThreshold) {
-
- if (rifThreshold != 0) {
-
- float requiredNumberOfInstances = rifPredictedValue /
rifThreshold;
- return (int) Math.ceil(requiredNumberOfInstances);
- } else {
- log.error("Request in flight threshold is Zero");
- return 0;
- }
-
- }
-
- public int getNumberOfInstancesRequiredBasedOnMemoryConsumption(float
threshold, double predictedValue,
- int
min, int max) {
- double numberOfAdditionalInstancesRequired = 0;
- if (predictedValue != threshold) {
-
- float scalingRange = 100 - threshold;
- int instanceRange = max - min;
-
- if (instanceRange != 0) {
-
- float gradient = scalingRange / instanceRange;
- numberOfAdditionalInstancesRequired = (predictedValue -
threshold) / gradient;
- }
-
- if (predictedValue < threshold) {
- //Since predicted-value is less, it can be scale-down
- return min - 1;
- }
- }
-
- return (int) Math.ceil(min + numberOfAdditionalInstancesRequired);
- }
-
- public int getNumberOfInstancesRequiredBasedOnLoadAverage(float
threshold, double predictedValue,
- int min) {
-
- double numberOfInstances;
- if (threshold != 0) {
-
- numberOfInstances = (min * predictedValue) / threshold;
- return (int) Math.ceil(numberOfInstances);
- }
-
- return min;
- }
-
- public int getMaxNumberOfInstancesRequired(int
numberOfInstancesRequiredBasedOnRif,
- int
numberOfInstancesRequiredBasedOnMemoryConsumption,
- boolean mcReset, int
numberOfInstancesReuquiredBasedOnLoadAverage,
- boolean laReset) {
- int numberOfInstances = 0;
-
- int rifBasedRequiredInstances = 0;
- int mcBasedRequiredInstances = 0;
- int laBasedRequiredInstances = 0;
- if (arspiIsSet) {
- rifBasedRequiredInstances =
numberOfInstancesRequiredBasedOnRif;
- }
- if (mcReset) {
- mcBasedRequiredInstances =
numberOfInstancesRequiredBasedOnMemoryConsumption;
- }
- if (laReset) {
- laBasedRequiredInstances =
numberOfInstancesReuquiredBasedOnLoadAverage;
- }
- numberOfInstances =
Math.max(Math.max(numberOfInstancesRequiredBasedOnMemoryConsumption,
- numberOfInstancesReuquiredBasedOnLoadAverage),
numberOfInstancesRequiredBasedOnRif);
- return numberOfInstances;
- }
-
- public PartitionAlgorithm getPartitionAlgorithm(String
partitionAlgorithm) {
-
- PartitionAlgorithm autoscaleAlgorithm = null;
- //FIXME to not parse for algo when partition is chosen by the
parent
-
- if (partitionAlgorithm == null) {
- //Send one after another as default
- partitionAlgorithm =
StratosConstants.PARTITION_ONE_AFTER_ANOTHER_ALGORITHM_ID;
- }
- if (log.isDebugEnabled()) {
- log.debug(String.format("Retrieving partition algorithm
[Partition algorithm]: %s", partitionAlgorithm));
- }
- if
(StratosConstants.PARTITION_ROUND_ROBIN_ALGORITHM_ID.equals(partitionAlgorithm))
{
- autoscaleAlgorithm = new RoundRobin();
- } else if
(StratosConstants.PARTITION_ONE_AFTER_ANOTHER_ALGORITHM_ID.equals(partitionAlgorithm))
{
- autoscaleAlgorithm = new OneAfterAnother();
- } else {
- if (log.isErrorEnabled()) {
- log.error(String.format("Partition algorithm %s could not
be identified !", partitionAlgorithm));
- }
- }
- return autoscaleAlgorithm;
- }
-
- public void delegateInstanceCleanup(String memberId) {
- try {
- // send the instance notification event.
-
InstanceNotificationPublisher.getInstance().sendInstanceCleanupEventForMember(memberId);
- log.info("Instance clean up event sent for [member] " +
memberId);
-
- } catch (Exception e) {
- log.error("Cannot terminate instance", e);
- }
- }
-
- /**
- * Invoked from drools to start an instance.
- *
- * @param clusterMonitorPartitionContext Cluster monitor partition
context
- * @param clusterId Cluster id
- * @param clusterInstanceId Instance id
- * @param isPrimary Is a primary member
- */
- public void delegateSpawn(ClusterLevelPartitionContext
clusterMonitorPartitionContext, String clusterId,
- String clusterInstanceId, boolean isPrimary)
{
-
- try {
- String nwPartitionId =
clusterMonitorPartitionContext.getNetworkPartitionId();
-
- // Calculate accumulation of minimum counts of all the
partition of current network partition
- int minimumCountOfNetworkPartition;
- ClusterMonitor clusterMonitor =
AutoscalerContext.getInstance().getClusterMonitor(clusterId);
- ClusterContext clusterContext =
clusterMonitor.getClusterContext();
- ClusterLevelNetworkPartitionContext
clusterLevelNetworkPartitionContext =
- clusterContext.getNetworkPartitionCtxt(nwPartitionId);
- ClusterInstanceContext clusterInstanceContext =
- (ClusterInstanceContext)
clusterLevelNetworkPartitionContext.
- getInstanceContext(clusterInstanceId);
- minimumCountOfNetworkPartition =
clusterInstanceContext.getMinInstanceCount();
-
- MemberContext memberContext =
- AutoscalerCloudControllerClient.getInstance()
-
.startInstance(clusterMonitorPartitionContext.getPartition(),
- clusterId,
- clusterInstanceId,
clusterMonitorPartitionContext.getNetworkPartitionId(),
- isPrimary,
- minimumCountOfNetworkPartition);
- if (memberContext != null) {
- ClusterLevelPartitionContext partitionContext =
clusterInstanceContext.
-
getPartitionCtxt(clusterMonitorPartitionContext.getPartitionId());
- partitionContext.addPendingMember(memberContext);
- partitionContext.addMemberStatsContext(new
MemberStatsContext(memberContext.getMemberId()));
- if (log.isDebugEnabled()) {
- log.debug(String.format("Pending member added,
[member] %s [partition] %s", memberContext.getMemberId(),
- memberContext.getPartition().getId()));
- }
-
- } else {
- if (log.isErrorEnabled()) {
- log.error("Member context returned from cloud
controller is null");
- }
- }
- } catch (Exception e) {
- String message = String.format("Could not start instance:
[cluster-id] %s [instance-id] %s",
- clusterId, clusterInstanceId);
- log.error(message, e);
- throw new RuntimeException(message, e);
- }
- }
-
- public void delegateScalingDependencyNotification(String clusterId,
String networkPartitionId, String instanceId,
- int
requiredInstanceCount, int minimumInstanceCount) {
-
- if (log.isDebugEnabled()) {
- log.debug("Scaling dependent notification is going to the
[parentInstance] " + instanceId);
- }
- //Notify parent for checking scaling dependencies
- ClusterMonitor clusterMonitor =
AutoscalerContext.getInstance().getClusterMonitor(clusterId);
- float fMinimumInstanceCount = minimumInstanceCount;
- float factor = requiredInstanceCount / fMinimumInstanceCount;
- clusterMonitor.sendClusterScalingEvent(networkPartitionId,
instanceId, factor);
- }
-
- public void delegateScalingOverMaxNotification(String clusterId,
String networkPartitionId, String instanceId) {
- if (log.isDebugEnabled()) {
- log.debug("Scaling max out notification is going to the
[parentInstance] " + instanceId);
- }
- //Notify parent for checking scaling dependencies
- ClusterMonitor clusterMonitor =
AutoscalerContext.getInstance().getClusterMonitor(clusterId);
- clusterMonitor.sendScalingOverMaxEvent(networkPartitionId,
instanceId);
- }
-
- public void delegateScalingDownBeyondMinNotification(String clusterId,
String networkPartitionId, String instanceId) {
- if (log.isDebugEnabled()) {
- log.debug("Scaling down lower min notification is going to the
[parentInstance] " + instanceId);
- }
- //Notify parent for checking scaling dependencies
- ClusterMonitor clusterMonitor =
AutoscalerContext.getInstance().getClusterMonitor(clusterId);
- clusterMonitor.sendScalingDownBeyondMinEvent(networkPartitionId,
instanceId);
- }
-
- public void delegateTerminate(ClusterLevelPartitionContext
clusterMonitorPartitionContext, String memberId) {
-
- try {
- //Moving member to pending termination list
- if
(clusterMonitorPartitionContext.activeMemberAvailable(memberId)) {
-
- log.info(String.format("[scale-down] Moving active member
to termination pending list [member id] %s " +
- "[partition] %s [network partition] %s",
memberId,
- clusterMonitorPartitionContext.getPartitionId(),
-
clusterMonitorPartitionContext.getNetworkPartitionId()));
-
clusterMonitorPartitionContext.moveActiveMemberToTerminationPendingMembers(memberId);
-
clusterMonitorPartitionContext.removeMemberStatsContext(memberId);
- } else if
(clusterMonitorPartitionContext.pendingMemberAvailable(memberId)) {
-
- log.info(String.format("[scale-down] Moving pending member
to termination pending list [member id] %s " +
- "[partition] %s [network partition] %s",
memberId,
- clusterMonitorPartitionContext.getPartitionId(),
-
clusterMonitorPartitionContext.getNetworkPartitionId()));
-
clusterMonitorPartitionContext.movePendingMemberToObsoleteMembers(memberId);
-
clusterMonitorPartitionContext.removeMemberStatsContext(memberId);
- }
- } catch (Exception e) {
- log.error("[scale-down] Cannot move member to termination
pending list ", e);
- }
- }
-
- public void delegateTerminateDependency(ClusterLevelPartitionContext
clusterMonitorPartitionContext, String memberId) {
- try {
- //calling SM to send the instance notification event.
- if (log.isDebugEnabled()) {
- log.debug("delegateTerminateDependency:memberId:" +
memberId);
- }
-
//InstanceNotificationClient.getInstance().sendMemberCleanupEvent(memberId);
-
//partitionContext.moveActiveMemberToTerminationPendingMembers(memberId);
- //CloudControllerClient.getInstance().terminate(memberId);
- } catch (Exception e) {
- log.error("Cannot terminate instance", e);
- }
- }
-
- public void terminateObsoleteInstance(String memberId) {
- try {
-
AutoscalerCloudControllerClient.getInstance().terminateInstance(memberId);
- } catch (Exception e) {
- log.error("Cannot terminate instance", e);
- }
- }
-
- //Grouping
- public void delegateTerminateAll(String clusterId) {
- try {
- if (log.isDebugEnabled()) {
- log.debug("delegateTerminateAll - begin");
- }
-
AutoscalerCloudControllerClient.getInstance().terminateAllInstances(clusterId);
- if (log.isDebugEnabled()) {
- log.debug("delegateTerminateAll - done");
- }
- } catch (Exception e) {
- log.error("Cannot terminate instance", e);
- }
- }
-
- public int getPredictedReplicasForStat(int minReplicas, float
statUpperLimit, float statPredictedValue) {
- if (statUpperLimit == 0) {
- return 0;
- }
- float predictedValue = ((minReplicas / statUpperLimit) *
statPredictedValue);
- return (int) Math.ceil(predictedValue);
- }
-
- public double getLoadAveragePredictedValue(ClusterInstanceContext
clusterInstanceContext) {
- double loadAveragePredicted = 0.0d;
- int totalMemberCount = 0;
- for (ClusterLevelPartitionContext partitionContext :
clusterInstanceContext.getPartitionCtxts()) {
- for (MemberStatsContext memberStatsContext :
partitionContext.getMemberStatsContexts().values()) {
-
- float memberAverageLoadAverage =
memberStatsContext.getLoadAverage().getAverage();
- float memberGredientLoadAverage =
memberStatsContext.getLoadAverage().getGradient();
- float memberSecondDerivativeLoadAverage =
memberStatsContext.getLoadAverage().getSecondDerivative();
-
- double memberPredictedLoadAverage =
getPredictedValueForNextMinute(memberAverageLoadAverage,
- memberGredientLoadAverage,
memberSecondDerivativeLoadAverage, 1);
-
- if (log.isDebugEnabled()) {
- log.debug(String.format("[cluster-instance-id] %s
[member-id] %s " +
- "[predicted load average] %s "
- , clusterInstanceContext.getId(),
memberStatsContext.getMemberId()
- , memberPredictedLoadAverage));
- }
- loadAveragePredicted += memberPredictedLoadAverage;
- ++totalMemberCount;
- }
- }
-
- if (totalMemberCount > 0) {
- log.debug("Predicted load average : " + loadAveragePredicted /
totalMemberCount);
- return loadAveragePredicted / totalMemberCount;
- } else {
- return 0;
- }
- }
-
- public double
getMemoryConsumptionPredictedValue(ClusterInstanceContext
clusterInstanceContext) {
- double memoryConsumptionPredicted = 0.0d;
- int totalMemberCount = 0;
- for (ClusterLevelPartitionContext partitionContext :
clusterInstanceContext.getPartitionCtxts()) {
- for (MemberStatsContext memberStatsContext :
partitionContext.getMemberStatsContexts().values()) {
-
- float memberMemoryConsumptionAverage =
memberStatsContext.getMemoryConsumption().getAverage();
- float memberMemoryConsumptionGredient =
memberStatsContext.getMemoryConsumption().getGradient();
- float memberMemoryConsumptionSecondDerivative =
memberStatsContext.getMemoryConsumption().getSecondDerivative();
-
- double memberPredictedMemoryConsumption =
getPredictedValueForNextMinute(memberMemoryConsumptionAverage,
- memberMemoryConsumptionGredient,
memberMemoryConsumptionSecondDerivative, 1);
-
- if (log.isDebugEnabled()) {
- log.debug(String.format("[member-id] %s [predicted
memory consumption] %s ",
- memberStatsContext.getMemberId()
- , memberPredictedMemoryConsumption));
- }
- memoryConsumptionPredicted +=
memberPredictedMemoryConsumption;
- ++totalMemberCount;
- }
- }
-
- if (totalMemberCount > 0) {
- log.debug("Predicted memory consumption : " +
memoryConsumptionPredicted / totalMemberCount);
- return memoryConsumptionPredicted / totalMemberCount;
- } else {
- return 0;
- }
- }
+ private static boolean arspiIsSet = false;
+
+ private static final Log log =
LogFactory.getLog(RuleTasksDelegator.class);
+
+ public double getPredictedValueForNextMinute(float average, float
gradient, float secondDerivative,
+ int timeInterval) {
+ double predictedValue;
+ // s = u * t + 0.5 * a * t * t
+ if (log.isDebugEnabled()) {
+ log.debug(String.format("Predicting the value,
[average]: %s , [gradient]: %s , [second derivative] " +
+ ": %s , [time intervals]: %s ",
average, gradient, secondDerivative, timeInterval));
+ }
+ predictedValue = average + gradient * timeInterval + 0.5 *
secondDerivative * timeInterval * timeInterval;
+
+ return predictedValue;
+ }
+
+ public int getNumberOfInstancesRequiredBasedOnRif(float
rifPredictedValue, float rifThreshold) {
+
+ if (rifThreshold != 0) {
+
+ float requiredNumberOfInstances = rifPredictedValue /
rifThreshold;
+ return (int) Math.ceil(requiredNumberOfInstances);
+ } else {
+ log.error("Request in flight threshold is Zero");
+ return 0;
+ }
+
+ }
+
+ public int getNumberOfInstancesRequiredBasedOnMemoryConsumption(float
threshold, double predictedValue, int min,
+ int
max) {
+ double numberOfAdditionalInstancesRequired = 0;
+ if (predictedValue != threshold) {
+
+ float scalingRange = 100 - threshold;
+ int instanceRange = max - min;
+
+ if (instanceRange != 0) {
+
+ float gradient = scalingRange / instanceRange;
+ numberOfAdditionalInstancesRequired =
(predictedValue - threshold) / gradient;
+ }
+
+ if (predictedValue < threshold) {
+ //Since predicted-value is less, it can be
scale-down
+ return min - 1;
+ }
+ }
+
+ return (int) Math.ceil(min +
numberOfAdditionalInstancesRequired);
+ }
+
+ public int getNumberOfInstancesRequiredBasedOnLoadAverage(float
threshold, double predictedValue, int min) {
+
+ double numberOfInstances;
+ if (threshold != 0) {
+
+ numberOfInstances = (min * predictedValue) / threshold;
+ return (int) Math.ceil(numberOfInstances);
+ }
+
+ return min;
+ }
+
+ public int getMaxNumberOfInstancesRequired(int
numberOfInstancesRequiredBasedOnRif,
+ int
numberOfInstancesRequiredBasedOnMemoryConsumption, boolean mcReset,
+ int
numberOfInstancesReuquiredBasedOnLoadAverage, boolean laReset) {
+ int numberOfInstances = 0;
+
+ int rifBasedRequiredInstances = 0;
+ int mcBasedRequiredInstances = 0;
+ int laBasedRequiredInstances = 0;
+ if (arspiIsSet) {
+ rifBasedRequiredInstances =
numberOfInstancesRequiredBasedOnRif;
+ }
+ if (mcReset) {
+ mcBasedRequiredInstances =
numberOfInstancesRequiredBasedOnMemoryConsumption;
+ }
+ if (laReset) {
+ laBasedRequiredInstances =
numberOfInstancesReuquiredBasedOnLoadAverage;
+ }
+ numberOfInstances =
Math.max(Math.max(numberOfInstancesRequiredBasedOnMemoryConsumption,
+
numberOfInstancesReuquiredBasedOnLoadAverage),
+
numberOfInstancesRequiredBasedOnRif);
+ return numberOfInstances;
+ }
+
+ public PartitionAlgorithm getPartitionAlgorithm(String
partitionAlgorithm) {
+
+ PartitionAlgorithm autoscaleAlgorithm = null;
+ //FIXME to not parse for algo when partition is chosen by the
parent
+
+ if (partitionAlgorithm == null) {
+ //Send one after another as default
+ partitionAlgorithm =
StratosConstants.PARTITION_ONE_AFTER_ANOTHER_ALGORITHM_ID;
+ }
+ if (log.isDebugEnabled()) {
+ log.debug(String.format("Retrieving partition algorithm
[Partition algorithm]: %s", partitionAlgorithm));
+ }
+ if
(StratosConstants.PARTITION_ROUND_ROBIN_ALGORITHM_ID.equals(partitionAlgorithm))
{
+ autoscaleAlgorithm = new RoundRobin();
+ } else if
(StratosConstants.PARTITION_ONE_AFTER_ANOTHER_ALGORITHM_ID.equals(partitionAlgorithm))
{
+ autoscaleAlgorithm = new OneAfterAnother();
+ } else {
+ if (log.isErrorEnabled()) {
+ log.error(String.format("Partition algorithm %s
could not be identified !", partitionAlgorithm));
+ }
+ }
+ return autoscaleAlgorithm;
+ }
+
+ public void delegateInstanceCleanup(String memberId) {
+ try {
+ // send the instance notification event.
+
InstanceNotificationPublisher.getInstance().sendInstanceCleanupEventForMember(memberId);
+ log.info("Instance clean up event sent for [member] " +
memberId);
+
+ } catch (Exception e) {
+ log.error("Cannot terminate instance", e);
+ }
+ }
+
+ /**
+ * Invoked from drools to start an instance.
+ *
+ * @param clusterMonitorPartitionContext Cluster monitor partition
context
+ * @param clusterId Cluster id
+ * @param clusterInstanceId Instance id
+ * @param isPrimary Is a primary member
+ */
+ public void delegateSpawn(ClusterLevelPartitionContext
clusterMonitorPartitionContext, String clusterId,
+ String clusterInstanceId, boolean isPrimary,
String autoscalingReason, long scalingTime) {
+
+ try {
+ String nwPartitionId =
clusterMonitorPartitionContext.getNetworkPartitionId();
+
+ // Calculate accumulation of minimum counts of all the
partition of current network partition
+ int minimumCountOfNetworkPartition;
+ ClusterMonitor clusterMonitor =
AutoscalerContext.getInstance().getClusterMonitor(clusterId);
+ ClusterContext clusterContext =
clusterMonitor.getClusterContext();
+ ClusterLevelNetworkPartitionContext
clusterLevelNetworkPartitionContext =
+
clusterContext.getNetworkPartitionCtxt(nwPartitionId);
+ ClusterInstanceContext clusterInstanceContext =
+ (ClusterInstanceContext)
clusterLevelNetworkPartitionContext.
+
getInstanceContext(
+
clusterInstanceId);
+ minimumCountOfNetworkPartition =
clusterInstanceContext.getMinInstanceCount();
+
+ MemberContext memberContext =
AutoscalerCloudControllerClient.getInstance().startInstance(
+
clusterMonitorPartitionContext.getPartition(), clusterId, clusterInstanceId,
+
clusterMonitorPartitionContext.getNetworkPartitionId(), isPrimary,
minimumCountOfNetworkPartition,
+ autoscalingReason, scalingTime);
+ if (memberContext != null) {
+ ClusterLevelPartitionContext partitionContext =
clusterInstanceContext.
+
getPartitionCtxt(
+
clusterMonitorPartitionContext
+
.getPartitionId());
+
partitionContext.addPendingMember(memberContext);
+ partitionContext.addMemberStatsContext(new
MemberStatsContext(memberContext.getMemberId()));
+ if (log.isDebugEnabled()) {
+ log.debug(String.format("Pending member
added, [member] %s [partition] %s",
+
memberContext.getMemberId(), memberContext.getPartition().getId()));
+ }
+
+ } else {
+ if (log.isErrorEnabled()) {
+ log.error("Member context returned from
cloud controller is null");
+ }
+ }
+ } catch (Exception e) {
+ String message = String.format("Could not start
instance: [cluster-id] %s [instance-id] %s", clusterId,
+ clusterInstanceId);
+ log.error(message, e);
+ throw new RuntimeException(message, e);
+ }
+ }
+
+ public void delegateScalingDependencyNotification(String clusterId,
String networkPartitionId, String instanceId,
+ int
requiredInstanceCount, int minimumInstanceCount) {
+
+ if (log.isDebugEnabled()) {
+ log.debug("Scaling dependent notification is going to
the [parentInstance] " + instanceId);
+ }
+ //Notify parent for checking scaling dependencies
+ ClusterMonitor clusterMonitor =
AutoscalerContext.getInstance().getClusterMonitor(clusterId);
+ float fMinimumInstanceCount = minimumInstanceCount;
+ float factor = requiredInstanceCount / fMinimumInstanceCount;
+ clusterMonitor.sendClusterScalingEvent(networkPartitionId,
instanceId, factor);
+ }
+
+ public void delegateScalingOverMaxNotification(String clusterId, String
networkPartitionId, String instanceId) {
+ if (log.isDebugEnabled()) {
+ log.debug("Scaling max out notification is going to the
[parentInstance] " + instanceId);
+ }
+ //Notify parent for checking scaling dependencies
+ ClusterMonitor clusterMonitor =
AutoscalerContext.getInstance().getClusterMonitor(clusterId);
+ clusterMonitor.sendScalingOverMaxEvent(networkPartitionId,
instanceId);
+ }
+
+ public void delegateScalingDownBeyondMinNotification(String clusterId,
String networkPartitionId,
+ String instanceId)
{
+ if (log.isDebugEnabled()) {
+ log.debug("Scaling down lower min notification is going
to the [parentInstance] " + instanceId);
+ }
+ //Notify parent for checking scaling dependencies
+ ClusterMonitor clusterMonitor =
AutoscalerContext.getInstance().getClusterMonitor(clusterId);
+
clusterMonitor.sendScalingDownBeyondMinEvent(networkPartitionId, instanceId);
+ }
+
+ public void delegateTerminate(ClusterLevelPartitionContext
clusterMonitorPartitionContext, String memberId) {
+
+ try {
+ //Moving member to pending termination list
+ if
(clusterMonitorPartitionContext.activeMemberAvailable(memberId)) {
+
+ log.info(String.format("[scale-down] Moving
active member to termination pending list [member id] %s " +
+ "[partition] %s [network
partition] %s", memberId,
+
clusterMonitorPartitionContext.getPartitionId(),
+
clusterMonitorPartitionContext.getNetworkPartitionId()));
+
clusterMonitorPartitionContext.moveActiveMemberToTerminationPendingMembers(memberId);
+
clusterMonitorPartitionContext.removeMemberStatsContext(memberId);
+ } else if
(clusterMonitorPartitionContext.pendingMemberAvailable(memberId)) {
+
+ log.info(String.format(
+ "[scale-down] Moving pending
member to termination pending list [member id] %s " +
+ "[partition] %s [network
partition] %s", memberId,
+
clusterMonitorPartitionContext.getPartitionId(),
+
clusterMonitorPartitionContext.getNetworkPartitionId()));
+
clusterMonitorPartitionContext.movePendingMemberToObsoleteMembers(memberId);
+
clusterMonitorPartitionContext.removeMemberStatsContext(memberId);
+ }
+ } catch (Exception e) {
+ log.error("[scale-down] Cannot move member to
termination pending list ", e);
+ }
+ }
+
+ public void delegateTerminateDependency(ClusterLevelPartitionContext
clusterMonitorPartitionContext,
+ String memberId) {
+ try {
+ //calling SM to send the instance notification event.
+ if (log.isDebugEnabled()) {
+
log.debug("delegateTerminateDependency:memberId:" + memberId);
+ }
+
//InstanceNotificationClient.getInstance().sendMemberCleanupEvent(memberId);
+
//partitionContext.moveActiveMemberToTerminationPendingMembers(memberId);
--- End diff --
It was already there that's why I didn't remove it. Now I've removed it.
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