[GitHub] [hudi] rkkalluri commented on issue #6068: [SUPPORT] Partition prunning broken with metadata disable

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rkkalluri commented on issue #6068:
URL: https://github.com/apache/hudi/issues/6068#issuecomment-1179538626

   If you check the sql tab of spark-ui or the explain plan for both statements 
you see that partition pruning is happening and we only read files from 1 
partition to satisfy your query. It is the planning stage that differs where 
spark catalog first needs to know all the partitions that do exist so that it 
can filter or prune them. That is exactly the problem Hudi metadata will solve 
and does not have to list all partitions
   
   <img width="478" alt="Screen Shot 2022-07-09 at 7 48 35 AM" 
src="https://user-images.githubusercontent.com/3401900/178106590-953c045c-9490-480d-ab4e-033789085672.png";>
   <img width="478" alt="Screen Shot 2022-07-09 at 7 47 45 AM" 
src="https://user-images.githubusercontent.com/3401900/178106592-fe0243f3-02c1-47f0-b88e-10bf1da270f9.png";>
    and hence the increased performance for you.
   
   >>> 
spark.read.format("hudi").option("hoodie.metadata.enable","true").load(basePath).filter("part=1").explain()
   == Physical Plan ==
   *(1) ColumnarToRow
   +- FileScan parquet 
[_hoodie_commit_time#134,_hoodie_commit_seqno#135,_hoodie_record_key#136,_hoodie_partition_path#137,_hoodie_file_name#138,id#139L,combine#140L,part#141L]
 Batched: true, DataFilters: [], Format: Parquet, Location: HoodieFileIndex(1 
paths)[/tmp/test_table], PartitionFilters: [(part#141L = 1)], PushedFilters: 
[], ReadSchema: 
struct<_hoodie_commit_time:string,_hoodie_commit_seqno:string,_hoodie_record_key:string,_hoodie_p...
   
   scala> 
spark.read.format("hudi").option("hoodie.metadata.enable","false").load(basePath).filter("part=1").explain(false)
   == Physical Plan ==                                                          
   
   *(1) ColumnarToRow
   +- FileScan parquet 
[_hoodie_commit_time#65,_hoodie_commit_seqno#66,_hoodie_record_key#67,_hoodie_partition_path#68,_hoodie_file_name#69,id#70L,combine#71L,part#72L]
 Batched: true, DataFilters: [], Format: Parquet, Location: HoodieFileIndex(1 
paths)[/tmp/test_table], PartitionFilters: [(part#72L = 1)], PushedFilters: [], 
ReadSchema: 
struct<_hoodie_commit_time:string,_hoodie_commit_seqno:string,_hoodie_record_key:string,_hoodie_p...


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