title: Spark - ignoring corrupted files
body: <p>In the ETL process that we are managing, we are receiving sometimes corrupted files. 
  We tried this Spark configuration and it seems it works (the Spark job is not failing because the corrupted files are discarded):</p>
  
  <pre><code>spark.sqlContext.setConf("spark.sql.files.ignoreCorruptFiles", "true")
  </code></pre>
  
  <p>But I don't know if there is anyway to know which files were ignored. Is there anyway to get those filenames?</p>
  
  <p>Thanks in advance</p>