rangareddy commented on issue #17063:
URL: https://github.com/apache/hudi/issues/17063#issuecomment-5391452801

   This issue was reviewed as part of the JIRA-migrated backlog triage 
(HUDI-9542).
   
   **Findings: still open.**
   
   Partially addressed. 
`HoodieListData.mapPartitions(SerializableFunction<Iterator<T>, Iterator<O>> 
func, boolean preservesPartitioning)` now exists at 
`hudi-common/src/main/java/org/apache/hudi/common/data/HoodieListData.java:150`,
 so the map-partitions capability is there.
   
   What is not there is the rest of the ask: a partitioner interface, an 
abstraction over partitioning, and parity with RDD partitioning semantics. 
Without those, `preservesPartitioning` is a parameter the list implementation 
cannot meaningfully honour - which is worth flagging, because a caller passing 
`true` gets silence rather than an error.
   
   **This is one of four related tickets**, all the same underlying problem - 
the `HoodieData` abstraction is not honoured end to end, so callers cannot pass 
a distributed implementation where the API says they can:
   
   - #17052 (HUDI-9515) - index lookup requires the set to fit on one machine; 
needs an RDD-based implementation
   - #17063 (HUDI-9542) - `HoodieListData` / `HoodieListPairData` need a notion 
of partitions
   - #17064 (HUDI-9544) - the RLI metric does not fire for RDD because of lazy 
evaluation
   - #17101 (HUDI-9613) - `HoodieBackedTableMetadata` asserts `instanceof 
HoodieListData` at runtime
   
   Fixing them independently risks four partial answers. Recommend one design 
covering what `HoodieData` guarantees - partitioning, laziness, and which 
implementations each API accepts - with these as its consequences.
   
   Keeping this open.
   


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