commit | 0ee404ebf3549a784e28ea5e0affd6c039c4e709 | [log] [tgz] |
---|---|---|
author | Dan Wang <wangdan@apache.org> | Mon May 13 11:26:41 2024 +0800 |
committer | GitHub <noreply@github.com> | Mon May 13 11:26:41 2024 +0800 |
tree | 038a4964c297b6c6504eec1c20a16686daaa0acf | |
parent | 10ac661d04db6f1fdb8ec3bb8fdf7d59d7050daa [diff] |
feat(duplication): add options to support cluster name only used for duplication and allow any other cluster id except myself to be ignored (#2000) The purpose of this PR is to optimize configurations for duplications. Firstly, many Pegasus clusters are configured with the same `cluster_name` (namely `[replication]cluster_name`). However, once we decide to duplicate tables between them, their `cluster_name` have to be changed to be distinguished from each other -- this might lead to side effects. Secondly, consider a scenario where many clusters are duplicated to a target cluster. This means we have to add many cluster ids to the `*.ini` file of the target cluster, and the target cluster might be restarted very frequently. Thus following options are added to solve both problems: ```diff [replication] + dup_cluster_name = + dup_ignore_other_cluster_ids = false ``` `[replication]dup_cluster_name` is added only for duplication in case `cluster_name` has to be changed, while `[replication]dup_ignore_other_cluster_ids` is added so that only the target cluster id should be configured and there is no need to add any other cluster id.
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Apache Pegasus is a distributed key-value storage system which is designed to be:
Pegasus targets to fill the gap between Redis and HBase. As the former is in-memory, low latency, but does not provide a strong-consistency guarantee. And unlike the latter, Pegasus is entirely written in C++ and its write-path relies merely on the local filesystem.
Apart from the performance requirements, we also need a storage system to ensure multiple-level data safety and support fast data migration between data centers, automatic load balancing, and online partition split.
Persistence of data: Each write is replicated three-way to different ReplicaServers before responding to the client. Using PacificA protocol, Pegasus has the ability for strong consistent replication and membership changes.
Automatic load balancing over ReplicaServers: Load balancing is a builtin function of MetaServer, which manages the distribution of replicas. When the cluster is in an inbalance state, the administrator can invoke a simple rebalance command that automatically schedules the replica migration.
Cold Backup: Pegasus supports an extensible backup and restore mechanism to ensure data safety. The location of snapshot could be a distributed filesystem like HDFS or local filesystem. The snapshot storing in the filesystem can be further used for analysis based on pegasus-spark.
Eventually-consistent intra-datacenter replication: This is a feature we called duplication. It allows a change made in the local cluster accesible after a short time period by the remote cluster. It help achieving higher availability of your service and gaining better performance by accessing only local cluster.
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