zherenyu831 opened a new issue #1798:
URL: https://github.com/apache/hudi/issues/1798
Document
```
val hudiIncQueryDF = spark
.read()
.format("org.apache.hudi")
.option(DataSourceReadOptions.QUERY_TYPE_OPT_KEY(),
DataSourceReadOptions.QUERY_TYPE_SNAPSHOT_OPT_VAL())
.load(tablePath + "/*")
```
we have path like data/YYYY/MM/DD and when try as document mentioned
```
spark.read.format("org.apache.hudi").load("s3://test/data/*/*/*/*")
// 4000+ files cost 60s
scala> res8.count
res9: Long = 313589086
```
but when we test with
```
spark.read.format("org.apache.hudi").load("s3://test/data/*/*/*")
// 600+ files cost 10s
scala> res10.count
res11: Long = 313589086
```
result is the same, but with `s3://test/data/*/*/*` we could have much more
fast speed.
and basically the the more file count the path included, the much more huge
difference the time cost will be....
Is there any concern with using the path with lower level of parquet file?
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