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Arpit Bhayani Blogs

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Arpit Bhayani Blogs
001 Ai Topological Sort

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TLDR: Read-Your-Writes Consistency

Date: 2021-09-22 Source: https://arpitbhayani.me/blogs/read-your-write-consistency

Overview

Explore read-your-writes consistency in distributed systems. Learn how to solve replication lag with strategies like synchronous replication. The most common way to scale the reads hitting a distributed data store is by adding Read Replicas.

Key Points

  • The most common way to scale the reads hitting a distributed data store is by adding Read Replicas.
  • Problem in action: To ensure that the issue we are trying to address is not something made up, let’s see what happens across industries when we do not ensure Read-your-write consistency.
  • Synchronous Replication: Replication Lag exists because the writes are propagated to Replica asynchronously.
  • Pinning User to Master: Instead of serving Read requests from the Replica, what if we also serve them from the Master.
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  • Fragmented Pinning: Pinning a user to the Master would mean queries, both Read and Write, made by the user will hit the Master for a configured time window.
  • Master Fallback: There is one more way of ensuring Read-your-write consistency, but it works well for a system with a lower Replication Lag, and most queries made on the data store are for keys that exist, i.e., fewer 404s, and the approach is using Master as a fallback. !Master Fallback - Read Your Write Consistency There is no User Pinning in this approach, and all the Read operations go to the Replica while the Master node only handles Write.

    • Takeaway

    There is one more way of ensuring Read-your-write consistency, but it works well for a system with a lower Replication Lag, and most queries made on the data store are for keys that exist, i.e., fewer 404s, and the approach is using Master as a fallback. !Master Fallback - Read Your Write Consistency There is no User Pinning in this approach, and all the Read operations go to the Replica while the Master node only handles Write.