Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/17397
Maybe we can verify the user input or capture the exception? If users input
incorrect value, it could get a confusing error message.
```
Unclosed group near index 19
spark-~!@#$%^^&*(12
^
java.util.regex.PatternSyntaxException: Unclosed group near index 19
spark-~!@#$%^^&*(12
^
at java.util.regex.Pattern.error(Pattern.java:1955)
at java.util.regex.Pattern.accept(Pattern.java:1813)
at java.util.regex.Pattern.group0(Pattern.java:2908)
at java.util.regex.Pattern.sequence(Pattern.java:2051)
at java.util.regex.Pattern.expr(Pattern.java:1996)
at java.util.regex.Pattern.compile(Pattern.java:1696)
at java.util.regex.Pattern.<init>(Pattern.java:1351)
at java.util.regex.Pattern.compile(Pattern.java:1028)
at scala.util.matching.Regex.<init>(Regex.scala:191)
at scala.collection.immutable.StringLike$class.r(StringLike.scala:255)
at scala.collection.immutable.StringOps.r(StringOps.scala:29)
at scala.collection.immutable.StringLike$class.r(StringLike.scala:244)
at scala.collection.immutable.StringOps.r(StringOps.scala:29)
at org.apache.spark.util.Utils$.redact(Utils.scala:2605)
at
org.apache.spark.sql.execution.DataSourceScanExec$class.org$apache$spark$sql$execution$DataSourceScanExec$$redact(DataSourceScanExec.scala:69)
at
org.apache.spark.sql.execution.DataSourceScanExec$$anonfun$3.apply(DataSourceScanExec.scala:53)
at
org.apache.spark.sql.execution.DataSourceScanExec$$anonfun$3.apply(DataSourceScanExec.scala:51)
```
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