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precisions
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@ -8,7 +8,7 @@ I have conducted a quick study of different methods to load-balance data over di
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- *minimal disruption*: when adding or removing a node, as few partitions as possible should have to move around
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- *minimal disruption*: when adding or removing a node, as few partitions as possible should have to move around
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- *order-agnostic*: the same set of nodes (associated with a datacenter name
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- *order-agnostic*: the same set of nodes (each associated with a datacenter name
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and a capacity) should always return the same distribution of partition
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and a capacity) should always return the same distribution of partition
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replicas, independently of the order in which nodes were added/removed (this
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replicas, independently of the order in which nodes were added/removed (this
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is to keep the implementation simple)
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is to keep the implementation simple)
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@ -19,10 +19,12 @@ I have conducted a quick study of different methods to load-balance data over di
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This strategy can be used with any ring-like algorithm to make it aware of the *multi-datacenter* requirement:
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This strategy can be used with any ring-like algorithm to make it aware of the *multi-datacenter* requirement:
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- the ring is a list of positions, each associated with a single node in the cluster
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In this method, the ring is a list of positions, each associated with a single node in the cluster.
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- look up position of item on ring
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Partitions contain all the keys between two consecutive items of the ring.
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- select the node for that position
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To find the nodes that store replicas of a given partition:
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- go clockwise, skipping nodes that:
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- select the node for the position of the partition's lower bound
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- go clockwise on the ring, skipping nodes that:
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- we halve already selected
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- we halve already selected
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- are in a datacenter of a node we have selected, except if we already have nodes from all possible datacenters
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- are in a datacenter of a node we have selected, except if we already have nodes from all possible datacenters
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