Q: How to handle exceptions?

[Krumelur]

I'm facing a scenario where reading files fails, because certain folders within my source (data lake) are empty. The following code (snippet) will then fail:

foreach(var repoFolder in repoFolders)
{
    var inputDf = spark
        .Read()
        .Option("multiline", "true")
        .Json($"{cdsInputRootUri}/{snapshotId}/{repoFolder}/*/*.json");
...

In Python I could try but using a C# try-catch around my code won't work. What's the recommended way of converting such code to DotNet Spark?

for add in addrs:
    try:
        spark.read.format("parquet").load(add)
    except:
        print(add)
        addrs.remove(add)