MaxGekk opened a new pull request #29662:
URL: https://github.com/apache/spark/pull/29662
### What changes were proposed in this pull request?
In the PR, I propose to fix an issue with the CSV and JSON data sources in
Spark SQL when both of the following are true:
* no user specified schema
* some file paths contain escaped glob metacharacters, such as `[``]`,
`{``}`, `*` etc.
### Why are the changes needed?
To fix the issue when the follow two queries try to read from paths
`[abc].csv` and `[abc].json`:
```scala
spark.read.csv("""/tmp/\[abc\].csv""").show
spark.read.json("""/tmp/\[abc\].json""").show
```
but would end up hitting an exception:
```
org.apache.spark.sql.AnalysisException: Path does not exist:
file:/tmp/[abc].csv;
at
org.apache.spark.sql.execution.datasources.DataSource$.$anonfun$checkAndGlobPathIfNecessary$1(DataSource.scala:722)
at
scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:244)
at scala.collection.immutable.List.foreach(List.scala:392)
```
### Does this PR introduce _any_ user-facing change?
Yes
### How was this patch tested?
Added new test cases in `DataFrameReaderWriterSuite`.
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