Re: Clock-skew management in logical replication
От | Joe Conway |
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Тема | Re: Clock-skew management in logical replication |
Дата | |
Msg-id | c6b3b8ef-8909-47ef-afb5-bf5012fdaf0d@joeconway.com обсуждение исходный текст |
Ответ на | Re: Clock-skew management in logical replication (shihao zhong <zhong950419@gmail.com>) |
Ответы |
Re: Clock-skew management in logical replication
Re: Clock-skew management in logical replication |
Список | pgsql-hackers |
On 9/21/24 01:31, shihao zhong wrote: > Nisha Moond <nisha.moond412@gmail.com> writes: >> Thoughts? Looking forward to hearing others' opinions! > > Had a productive conversation with Amit Kaplia today about time skew > in distributed systems, and wanted to share some thoughts. > Essentially, we're grappling with the classic distributed snapshot > problem. In a multi-active environment, where multiple nodes can > independently process transactions, it becomes crucial to determine > the visibility of these transactions across the system. Time skew, > where different machines have different timestamps make it a hard > problem. How can we ensure consistent transaction ordering and > visibility when time itself is unreliable? > > As you mentioned, there are several ways to tackle the time skew > problem in distributed systems. These approaches generally fall into > three main categories: > > 1. Centralized Timestamps (Timestamp Oracle) > 2. Atomic Clocks (True Time) > 3. Hybrid Logical Clocks > 4 Local Clocks > I recommend ...<snip>... implement a pluggable time access method. This > allows users to integrate with different time services as needed. Huge +1 > In the mid-term, implementing the HLC approach would provide highly > consistent snapshot reads. This offers a significant advantage for > many use cases. agreed > Long-term, we should consider integrating with a distributed time > service like AWS Time Sync Service. This ensures high accuracy and > scalability for demanding applications. I think the pluggable access method should make this possible, no? -- Joe Conway PostgreSQL Contributors Team RDS Open Source Databases Amazon Web Services: https://aws.amazon.com
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