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https://issues.apache.org/jira/browse/SPARK-43343?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jungtaek Lim resolved SPARK-43343.
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Fix Version/s: 3.5.0
Resolution: Fixed
Issue resolved by pull request 41022
[https://github.com/apache/spark/pull/41022]
> Spark Streaming is not able to read a .txt file whose name has [] special
> character
> -----------------------------------------------------------------------------------
>
> Key: SPARK-43343
> URL: https://issues.apache.org/jira/browse/SPARK-43343
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 3.4.0
> Reporter: Siying Dong
> Assignee: Siying Dong
> Priority: Minor
> Fix For: 3.5.0
>
>
> * For example, If a directory contains a following file:
> /path/abc[123]
> and users would load spark.readStream.format("text").load("/path") as stream
> input. It throws an exception, saying no matching path /path/abc[123]. Spark
> thinks abc[123] is a regex that only matches file named abc1, abc2 and abc3.
> * Upon investigation this is due to how we
> [getBatch|https://github.com/databricks/runtime/blob/3af402d23620a0952e151d96c3184d2233217c87/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/FileStreamSource.scala#L269]
> in the FileStreamSource. In `FileStreamSource` we already check file pattern
> matching and find all match file names. However, in DataSource we check for
> glob characters again and try to expend it
> [here|https://github.com/databricks/runtime/blob/3af402d23620a0952e151d96c3184d2233217c87/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala#L274].
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