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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HELIX-674) Constraint Based Resource Rebalancer
Date Tue, 13 Mar 2018 23:31:01 GMT

    [ https://issues.apache.org/jira/browse/HELIX-674?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16397842#comment-16397842

ASF GitHub Bot commented on HELIX-674:

Github user mcvsubbu commented on a diff in the pull request:

    --- Diff: helix-core/src/main/java/org/apache/helix/util/WeightAwareRebalanceUtil.java
    @@ -0,0 +1,141 @@
    +package org.apache.helix.util;
    +import org.apache.helix.HelixException;
    +import org.apache.helix.ZNRecord;
    +import org.apache.helix.api.config.RebalanceConfig;
    +import org.apache.helix.api.rebalancer.constraint.AbstractRebalanceHardConstraint;
    +import org.apache.helix.api.rebalancer.constraint.AbstractRebalanceSoftConstraint;
    +import org.apache.helix.controller.common.PartitionStateMap;
    +import org.apache.helix.controller.common.ResourcesStateMap;
    +import org.apache.helix.controller.rebalancer.strategy.ConstraintRebalanceStrategy;
    +import org.apache.helix.controller.stages.ClusterDataCache;
    +import org.apache.helix.model.*;
    +import java.util.ArrayList;
    +import java.util.HashMap;
    +import java.util.List;
    +import java.util.Map;
    + * A rebalance tool that generate an resource partition assignment based on the input.
    + * Note the assignment won't be automatically applied to the cluster. Applications are
supposed to
    + * apply the change.
    + */
    +public class WeightAwareRebalanceUtil {
    +  private final ClusterConfig _clusterConfig;
    +  private final Map<String, InstanceConfig> _instanceConfigMap = new HashMap<>();
    +  // For the possible customized state models.
    +  private final Map<String, StateModelDefinition> _stateModelDefs = new HashMap<>();
    +  private final ClusterDataCache _dataCache;
    +  public enum RebalanceOption {
    +    INIT,
    +    REASSIGN
    +  }
    +  public WeightAwareRebalanceUtil(ClusterConfig clusterConfig,
    +      List<InstanceConfig> instanceConfigs) {
    +    for (InstanceConfig instanceConfig : instanceConfigs) {
    +      _instanceConfigMap.put(instanceConfig.getInstanceName(), instanceConfig);
    +    }
    +    _clusterConfig = clusterConfig;
    +    _dataCache = new ClusterDataCache();
    +    _dataCache.setInstanceConfigMap(_instanceConfigMap);
    +    _dataCache.setClusterConfig(_clusterConfig);
    +    List<LiveInstance> liveInstanceList = new ArrayList<>();
    +    for (String instance : _instanceConfigMap.keySet()) {
    +      LiveInstance liveInstance = new LiveInstance(instance);
    +      liveInstanceList.add(liveInstance);
    +    }
    +    _dataCache.setLiveInstances(liveInstanceList);
    +  }
    +  /**
    +   * The method to generate partition assignment mappings.
    +   *
    +   * @param resourceConfigs    Config of all the resources that need to be rebalanced.
    +   *                           The tool throws Exception if any resource has no IS or
broken/uninitialized IS.
    +   *                           The tool throws Exception if any resource is in full-auto
    +   * @param existingAssignment The existing partition assignment of the input resources.
    +   * @param option             INIT or REASSIGN
    +   *                           INIT: Keep existing assignment. Only generate new partition
    --- End diff --
    instead of option, can we call it 'mode'? Also, it is not clear where we specify new partitions
to be assigned. "INIT" also seems to be misleading. Why not "KEEP"? If "INIT" is specified,
then is it true that the existing assignments will not be moved? if "REASSIGN" is specified,
is it true that the algorithm will try not to move existing assignments,  but may do so?

> Constraint Based Resource Rebalancer
> ------------------------------------
>                 Key: HELIX-674
>                 URL: https://issues.apache.org/jira/browse/HELIX-674
>             Project: Apache Helix
>          Issue Type: New Feature
>            Reporter: Jiajun Wang
>            Assignee: Jiajun Wang
>            Priority: Major
>             Fix For: 0.8.x
>         Attachments: Constraint-BasedResourceRebalancing-080318-2226-240.pdf
> Helix rebalancer assigns resources according to different strategies. Recently, we optimize
the strategy for evenness and minimize movement. However, the evenness here only applies to
partition numbers. Moreover, we've got more requests for customizable rebalancer from our
> Take partition weight as an example:
> In reality, partition replicas have different size. We use "partition weight" as an abstraction
of the partition size. It can be network traffic usage, disk usage, or any other combined
> Given each partition may have different weights, Helix should be able to assign partition
accordingly. So that the distribution would be even regarding the weight.
> In this project, we are planning new rebalancer mechanism that generates resource partition
assignment according to a list of "constraints". Current rebalance strategy can be regarded
as one kind of constraint. Moving forward, Helix users would be able to extend the constraint
interface using their own logic.
> Some init discussions are in progress and we will have a proposal posted here soon.

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