Fix indentation of scaling.drl file to adhere line limit

Project: http://git-wip-us.apache.org/repos/asf/stratos/repo
Commit: http://git-wip-us.apache.org/repos/asf/stratos/commit/8ad5fef2
Tree: http://git-wip-us.apache.org/repos/asf/stratos/tree/8ad5fef2
Diff: http://git-wip-us.apache.org/repos/asf/stratos/diff/8ad5fef2

Branch: refs/heads/master
Commit: 8ad5fef242496e56d0a849280f8871df930062e5
Parents: ce64e75
Author: Lahiru Sandaruwan <[email protected]>
Authored: Tue Mar 17 11:47:01 2015 +0530
Committer: Lahiru Sandaruwan <[email protected]>
Committed: Tue Mar 17 11:47:01 2015 +0530

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 .../src/main/conf/drools/scaling.drl            | 69 +++++++++++++-------
 1 file changed, 47 insertions(+), 22 deletions(-)
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http://git-wip-us.apache.org/repos/asf/stratos/blob/8ad5fef2/products/stratos/modules/distribution/src/main/conf/drools/scaling.drl
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diff --git 
a/products/stratos/modules/distribution/src/main/conf/drools/scaling.drl 
b/products/stratos/modules/distribution/src/main/conf/drools/scaling.drl
index f37c773..2f71ce3 100644
--- a/products/stratos/modules/distribution/src/main/conf/drools/scaling.drl
+++ b/products/stratos/modules/distribution/src/main/conf/drools/scaling.drl
@@ -64,8 +64,10 @@ dialect "mvel"
         loadThresholds : LoadThresholds() from  
autoscalePolicy.getLoadThresholds()
         partitionAlgorithm : PartitionAlgorithm() from  
delegator.getPartitionAlgorithm(algorithmName)
 
-        eval(log.debug("Running scale up rule: [network-partition] " + 
clusterInstanceContext.getNetworkPartitionId() + " [cluster] " + clusterId))
-        eval(log.debug("[scaling] [network-partition] " + 
clusterInstanceContext.getNetworkPartitionId() + " [cluster] " + clusterId + " 
Algorithm name: " + algorithmName))
+        eval(log.debug("Running scale up rule: [network-partition] " + 
clusterInstanceContext.getNetworkPartitionId() +
+            " [cluster] " + clusterId))
+        eval(log.debug("[scaling] [network-partition] " + 
clusterInstanceContext.getNetworkPartitionId() + " [cluster] "
+            + clusterId + " Algorithm name: " + algorithmName))
 
        
         rifThreshold : Float() from  
loadThresholds.getRequestsInFlightThreshold()
@@ -89,11 +91,17 @@ dialect "mvel"
         requestsServedPerInstance : Float() from  
clusterInstanceContext.getRequestsServedPerInstance()
         averageRequestsServedPerInstance : Float() from  
clusterInstanceContext.getAverageRequestsServedPerInstance()
 
-        numberOfInstancesReuquiredBasedOnRif : Integer() from 
delegator.getNumberOfInstancesRequiredBasedOnRif(rifPredictedValue, 
requestsServedPerInstance, averageRequestsServedPerInstance, arspiReset)
-        numberOfInstancesReuquiredBasedOnMemoryConsumption : Integer() from 
delegator.getNumberOfInstancesRequiredBasedOnMemoryConsumption(mcThreshold, 
mcPredictedValue, minInstancesCount, maxInstancesCount)
-        numberOfInstancesReuquiredBasedOnLoadAverage : Integer() from 
delegator.getNumberOfInstancesRequiredBasedOnLoadAverage(laThreshold, 
laPredictedValue, minInstancesCount)
+        numberOfInstancesReuquiredBasedOnRif : Integer() from 
delegator.getNumberOfInstancesRequiredBasedOnRif(
+            rifPredictedValue, requestsServedPerInstance, 
averageRequestsServedPerInstance, arspiReset)
+        numberOfInstancesReuquiredBasedOnMemoryConsumption : Integer() from
+            
delegator.getNumberOfInstancesRequiredBasedOnMemoryConsumption(mcThreshold, 
mcPredictedValue, minInstancesCount,
+            maxInstancesCount)
+        numberOfInstancesReuquiredBasedOnLoadAverage : Integer() from
+            
delegator.getNumberOfInstancesRequiredBasedOnLoadAverage(laThreshold, 
laPredictedValue, minInstancesCount)
 
-        numberOfRequiredInstances : Integer() from 
delegator.getMaxNumberOfInstancesRequired(numberOfInstancesReuquiredBasedOnRif, 
numberOfInstancesReuquiredBasedOnMemoryConsumption ,mcReset 
,numberOfInstancesReuquiredBasedOnLoadAverage, laReset) 
+        numberOfRequiredInstances : Integer() from 
delegator.getMaxNumberOfInstancesRequired(
+            numberOfInstancesReuquiredBasedOnRif, 
numberOfInstancesReuquiredBasedOnMemoryConsumption, mcReset,
+            numberOfInstancesReuquiredBasedOnLoadAverage, laReset)
 
 
 
@@ -115,7 +123,9 @@ dialect "mvel"
 
        then
 
-           log.debug("[scaling] Number of required instances based on stats: " 
+ numberOfRequiredInstances + " [active instances count] " + 
activeInstancesCount + " [network-partition] " + 
clusterInstanceContext.getNetworkPartitionId() + " [cluster] " + clusterId);
+           log.debug("[scaling] Number of required instances based on stats: " 
+ numberOfRequiredInstances + " " +
+               "[active instances count] " + activeInstancesCount + " 
[network-partition] " +
+               clusterInstanceContext.getNetworkPartitionId() + " [cluster] " 
+ clusterId);
 
         int nonTerminatedMembers = 
clusterInstanceContext.getNonTerminatedMemberCount();
         if(scaleUp){
@@ -132,7 +142,8 @@ dialect "mvel"
                             + " [instance id]" + 
clusterInstanceContext.getId() + " [max] " + clusterMaxMembers
                             + " [number of required instances] " + 
numberOfRequiredInstances
                             + " [additional instances to be created] " + 
additionalInstances);
-                    delegator.delegateScalingOverMaxNotification(clusterId, 
clusterInstanceContext.getNetworkPartitionId(), clusterInstanceContext.getId());
+                    delegator.delegateScalingOverMaxNotification(clusterId, 
clusterInstanceContext.getNetworkPartitionId(),
+                        clusterInstanceContext.getId());
                 } else {
 
                     additionalInstances = numberOfRequiredInstances - 
nonTerminatedMembers;
@@ -140,11 +151,13 @@ dialect "mvel"
 
                 clusterInstanceContext.resetScaleDownRequestsCount();
 
-                log.debug("[scale-up] " + " [has scaling dependents] " + 
clusterInstanceContext.hasScalingDependants() + " [cluster] " + clusterId );
+                log.debug("[scale-up] " + " [has scaling dependents] " + 
clusterInstanceContext.hasScalingDependants() +
+                    " [cluster] " + clusterId );
                 if(clusterInstanceContext.hasScalingDependants()) {
 
                     log.debug("[scale-up] Notifying dependencies [cluster] " + 
clusterId);
-                    delegator.delegateScalingDependencyNotification(clusterId, 
clusterInstanceContext.getNetworkPartitionId(), clusterInstanceContext.getId(), 
numberOfRequiredInstances, clusterInstanceContext.getMinInstanceCount());
+                    delegator.delegateScalingDependencyNotification(clusterId, 
clusterInstanceContext.getNetworkPartitionId(),
+                        clusterInstanceContext.getId(), 
numberOfRequiredInstances, clusterInstanceContext.getMinInstanceCount());
                 } else {
 
                     boolean partitionsAvailable = true;
@@ -152,7 +165,8 @@ dialect "mvel"
 
                     while(count != additionalInstances && partitionsAvailable){
 
-                        ClusterLevelPartitionContext partitionContext = 
(ClusterLevelPartitionContext)partitionAlgorithm.getNextScaleUpPartitionContext(clusterInstanceContext.getPartitionCtxtsAsAnArray());
+                        ClusterLevelPartitionContext partitionContext = 
(ClusterLevelPartitionContext)
+                            
partitionAlgorithm.getNextScaleUpPartitionContext(clusterInstanceContext.getPartitionCtxtsAsAnArray());
                         if(partitionContext != null){
 
                             log.info("[scale-up] Partition available, hence 
trying to spawn an instance to scale up!" );
@@ -171,7 +185,8 @@ dialect "mvel"
                         notifying to parent for possible group scaling or app 
bursting.
                         [cluster] " + clusterId + " [instance id]" + 
clusterInstanceContext.getId() +
                         " [max] " + clusterMaxMembers);
-                delegator.delegateScalingOverMaxNotification(clusterId, 
clusterInstanceContext.getNetworkPartitionId(), clusterInstanceContext.getId());
+                delegator.delegateScalingOverMaxNotification(clusterId, 
clusterInstanceContext.getNetworkPartitionId(),
+                    clusterInstanceContext.getId());
             }
         } else if(scaleDown){
 
@@ -180,18 +195,21 @@ dialect "mvel"
                 log.debug("[scale-down] Decided to Scale down [cluster] " + 
clusterId);
                 if(clusterInstanceContext.getScaleDownRequestsCount() > 2 ){
 
-                    log.debug("[scale-down] Reached scale down requests 
threshold [cluster] " + clusterId + " Count " + 
clusterInstanceContext.getScaleDownRequestsCount());
+                    log.debug("[scale-down] Reached scale down requests 
threshold [cluster] " + clusterId + " Count " +
+                        clusterInstanceContext.getScaleDownRequestsCount());
 
                     if(clusterInstanceContext.hasScalingDependants()) {
 
                         log.debug("[scale-up] Notifying dependencies [cluster] 
" + clusterId);
-                        
delegator.delegateScalingDependencyNotification(clusterId, 
clusterInstanceContext.getNetworkPartitionId(), clusterInstanceContext.getId(), 
numberOfRequiredInstances, clusterInstanceContext.getMinInstanceCount());
+                        
delegator.delegateScalingDependencyNotification(clusterId, 
clusterInstanceContext.getNetworkPartitionId(),
+                            clusterInstanceContext.getId(), 
numberOfRequiredInstances, clusterInstanceContext.getMinInstanceCount());
                     } else{
 
                         MemberStatsContext selectedMemberStatsContext = null;
                         double lowestOverallLoad = 0.0;
                         boolean foundAValue = false;
-                        ClusterLevelPartitionContext partitionContext =  
(ClusterLevelPartitionContext) 
partitionAlgorithm.getNextScaleDownPartitionContext((clusterInstanceContext.getPartitionCtxtsAsAnArray()));
+                        ClusterLevelPartitionContext partitionContext =  
(ClusterLevelPartitionContext)
+                            
partitionAlgorithm.getNextScaleDownPartitionContext((clusterInstanceContext.getPartitionCtxtsAsAnArray()));
                         if(partitionContext != null){
                             log.info("[scale-down] Partition available to 
scale down ");
         //                    log.debug("[scale-down] " + " [partition] " + 
partition.getId() + " [cluster] " + clusterId);
@@ -212,15 +230,19 @@ dialect "mvel"
 
                                 MemoryConsumption memoryConsumption = 
memberStatsContext.getMemoryConsumption();
                                 log.debug("[scale-down] " + " [partition] " + 
partitionContext.getPartitionId() + " [cluster] "
-                                    + clusterId + " [member] " + 
memberStatsContext.getMemberId() + " Memory consumption: " + memoryConsumption);
+                                    + clusterId + " [member] " + 
memberStatsContext.getMemberId() + " Memory consumption: " +
+                                    memoryConsumption);
 
-                                double predictedCpu = 
delegator.getPredictedValueForNextMinute(loadAverage.getAverage(),loadAverage.getGradient(),loadAverage.getSecondDerivative(),
 1);
+                                double predictedCpu = 
delegator.getPredictedValueForNextMinute(loadAverage.getAverage(),
+                                    
loadAverage.getGradient(),loadAverage.getSecondDerivative(), 1);
                                 log.debug("[scale-down] " + " [partition] " + 
partitionContext.getPartitionId() + " [cluster] "
                                     + clusterId + " [member] " + 
memberStatsContext.getMemberId() + " Predicted CPU: " + predictedCpu);
 
-                                double predictedMemoryConsumption = 
delegator.getPredictedValueForNextMinute(memoryConsumption.getAverage(),memoryConsumption.getGradient(),memoryConsumption.getSecondDerivative(),
 1);
+                                double predictedMemoryConsumption = 
delegator.getPredictedValueForNextMinute(
+                                    
memoryConsumption.getAverage(),memoryConsumption.getGradient(),memoryConsumption.getSecondDerivative(),
 1);
                                 log.debug("[scale-down] " + " [partition] " + 
partitionContext.getPartitionId() + " [cluster] "
-                                    + clusterId + " [member] " + 
memberStatsContext.getMemberId() + " Predicted memory consumption: " + 
predictedMemoryConsumption);
+                                    + clusterId + " [member] " + 
memberStatsContext.getMemberId() + " Predicted memory consumption: " +
+                                        predictedMemoryConsumption);
 
                                 double overallLoad = (predictedCpu + 
predictedMemoryConsumption) / 2;
                                 log.debug("[scale-down] " + " [partition] " + 
partitionContext.getPartitionId() + " [cluster] "
@@ -249,15 +271,18 @@ dialect "mvel"
                         }
                     }
                 } else{
-                     log.debug("[scale-down] Not reached scale down requests 
threshold. " + clusterId + " Count " + 
clusterInstanceContext.getScaleDownRequestsCount());
+                     log.debug("[scale-down] Not reached scale down requests 
threshold. " + clusterId + " Count " +
+                        clusterInstanceContext.getScaleDownRequestsCount());
                      clusterInstanceContext.increaseScaleDownRequestsCount();
 
                 }
             } else {
-                log.info("[scale-down] Min is reached, hence not scaling down 
[cluster] " + clusterId + " [instance id]" + clusterInstanceContext.getId());
+                log.info("[scale-down] Min is reached, hence not scaling down 
[cluster] " + clusterId + " [instance id]"
+                    + clusterInstanceContext.getId());
                 if(clusterInstanceContext.isInGroupScalingEnabledSubtree()){
 
-                    
delegator.delegateScalingDownBeyondMinNotification(clusterId, 
clusterInstanceContext.getNetworkPartitionId(), clusterInstanceContext.getId());
+                    
delegator.delegateScalingDownBeyondMinNotification(clusterId, 
clusterInstanceContext.getNetworkPartitionId(),
+                        clusterInstanceContext.getId());
                 }
             }
         }  else{

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