ZENOTME commented on PR #135:
URL: https://github.com/apache/iceberg-rust/pull/135#issuecomment-1894915527

   > > > This design is kind of too complicated for me. I still prefer the 
approach we used in icelake, and don't overuse too much traits for just saving 
code.
   > > 
   > > 
   > > Actually, this design is to solve a problem I meet in icelake now.🤔 In 
icelake, we use an interface like the following:
   > > ```
   > > impl FanoutPartitionWriter {
   > >    fn metrics(&self) -> PartitionMetrics
   > > }
   > > ```
   > > 
   > > 
   > >     
   > >       
   > >     
   > > 
   > >       
   > >     
   > > 
   > >     
   > >   
   > > And we have a corresponding monitor writer:
   > > ```
   > > struct ParititionMetricsMonitorWriter {
   > >   writer: FanoutPartitionWriter
   > > }
   > > ```
   > > 
   > > 
   > >     
   > >       
   > >     
   > > 
   > >       
   > >     
   > > 
   > >     
   > >   
   > > But after I introduced a new partition writer: 
`PrecomputePartitionWriter` , I found that I couldn't reuse the 
`ParititionMetricsMonitorWriter` because it's coupled with 
`FanoutPartitionWriter`. **But the metrics(state) they expose are the same**, 
so I think maybe we need to abstract the interface that expose the 
metrics(state).
   > 
   > These kinds of refactoring helps avoiding some code duplication, but I 
don't think this is good abstraction. Good abstraction should be clean and easy 
to understand. Even your example is not quite convincible, for example, what if 
the metrics of these two partition writers diverge someday in future, e.g. I 
want to count the latency of computing these partition calculation?
   
   Sounds reasonable. Let's use the approach before now. We can solve code 
duplication when it has a good abstraction.


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