codejoyan commented on issue #3581:
URL: https://github.com/apache/hudi/issues/3581#issuecomment-922282821


   Thanks for the response @umehrot2 and @xushiyan . I am using 0.9.0 bit still 
observing `Listing leaf files and directories` even after making the changes 
you suggested. Below are the code snippet and Spark UI details:
   
   ```
   scala> import org.apache.hudi.DataSourceReadOptions
   import org.apache.hudi.DataSourceReadOptions
   
   scala> spark.sql("SET hoodie.metadata.enable=true")
   res0: org.apache.spark.sql.DataFrame = [key: string, value: string]
   
   scala> spark.sql("SET hoodie.metadata.metrics.enable=true")
   res1: org.apache.spark.sql.DataFrame = [key: string, value: string]
   
   scala> 
spark.time(spark.read.format("hudi").option("hoodie.file.index.enable", 
true).load("gs://udp-hudi-storage3/store_visit_scan_hudi_spark_3_tgt_v3/*/*/*"))
   21/09/18 14:13:24 WARN 
org.apache.spark.sql.execution.datasources.SharedInMemoryCache: Evicting cached 
table partition metadata from memory due to size constraints 
(spark.sql.hive.filesourcePartitionFileCacheSize = 262144000 bytes). This may 
impact query planning performance.
   Time taken: 144686 ms
   res2: org.apache.spark.sql.DataFrame = [_hoodie_commit_time: string, 
_hoodie_commit_seqno: string ... 124 more fields]
   ```
   Corresponding stage details on Spark UI for the above command:
   <img width="1715" alt="Screenshot 2021-09-18 at 7 46 45 PM" 
src="https://user-images.githubusercontent.com/48707638/133891815-d0a025a0-a51d-46d0-9589-306082287e35.png";>
   
   
   


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