December 2023
Intermediate to advanced
464 pages
12h 36m
English
Content preview from Patterns of Distributed Systems
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Chapter 20
Key-Range Partitions
Partition data in sorted key ranges to efficiently handle range queries.
Problem
To split data across a set of cluster nodes, each data item needs to be mapped to a node. If users want to query a range of keys, specifying only the start and end key, all partitions will need to be queried for the values to be acquired. Querying every partition for a single request is far from optimal.
Take a key-value store as an example. We can store the author names using hash-based mapping, as in Fixed Partitions (Table 20.1).
Table 20.1 Key Mapping to Cluster Nodes Using Hash of a Key
Keys |
Hash |
Partition = Hash % Number of partitions (9) |
Node |
|---|---|---|---|
alice |
133299819613694460644197938031451912208 |
0 |
0 |
bob |
63479738429015246738359000453022047291 ... |
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