ad1happy2go commented on issue #10503:
URL: https://github.com/apache/hudi/issues/10503#issuecomment-1907463208
@gsudhanshu Spark data frame writer writes to the directory. Looks like for
your unique_filename variable has this value
"6548b5aa910845504c7cdea4_1705406501315.795.csv" , so hudi created this
directory and writing files inside it which is expected. I suggest you not to
give the file names in the output path while using spark writer.
Now coming to your original question, how you are reading this data back.
```
hudi_df_org = spark.read \
.format("hudi") \
.option("hoodie.datasource.read.table.name",
unique_filename) \
.option("hoodie.metadata.enable", "false" ) \
.load(basePath_for_visualiser_table)
```
what is the value for variable basePath_for_visualiser_table ?
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