nsivabalan commented on pull request #2903:
URL: https://github.com/apache/hudi/pull/2903#issuecomment-841553729
> I wonder what the right behavior here should be. Should we error out or
return an empty dataframe?
If someone tries to read a hudi table from a path that does not even exist,
we get this exception as of now.
```
scala> val tripsSnapshotDF = spark.
| read.
| format("hudi").
| load(basePath + "/*/*/*/*")
org.apache.hudi.exception.TableNotFoundException: Hoodie table not found in
path Unable to find a hudi table for the user provided paths.
at org.apache.hudi.DataSourceUtils.getTablePath(DataSourceUtils.java:81)
at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:97)
at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:65)
at
org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:318)
at
org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
... 64 elided
```
So, I Guess the current fix should be fine. WDYT.
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