boneanxs opened a new pull request, #6046:
URL: https://github.com/apache/hudi/pull/6046

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   - *Please review https://hudi.apache.org/contribute/how-to-contribute before 
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   ## What is the purpose of the pull request
   Enable row writer for clustering to improve performance
   
   ## Brief change log
   1. Integrate clustering with datasource read and write api, in this way,
      - enable clustering use Dataset api
      - Unify the read and write operations together, if read/write logic has 
improvement, clustering can also benefit
   2. Use hoodie.datasource.read.paths to pass paths for each 
clusteringOperation
   3. Introduce HoodieInternalWriteStatusCoordinator to persist the 
InternalWriteStatus of a clustering action. As we can not get it if using Spark 
datasource.
   4. Add new configures to control this behavior.
   
   ## Verify this pull request
   Manual test:
   A test table has 21 columns, 710716 rows, raw data size 929g(in spark 
memory), after compressed: 38.3g
   executor memory: 50g, 20 instances, and enable global_sort
   
   Without clustering as row: 32mins, 12sec
   Using clustering as row: 9mins, 51sec
   Also change existing tests(`TestHoodieSparkMergeOnReadTableClustering` and 
`testLayoutOptimizationFunctional`) to cover this feature 
   ## Committer checklist
   
    - [ ] Has a corresponding JIRA in PR title & commit
    
    - [ ] Commit message is descriptive of the change
    
    - [ ] CI is green
   
    - [ ] Necessary doc changes done or have another open PR
          
    - [ ] For large changes, please consider breaking it into sub-tasks under 
an umbrella JIRA.
   


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