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https://issues.apache.org/jira/browse/SPARK-28092?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean R. Owen resolved SPARK-28092.
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Resolution: Invalid
You'd have to provide the error here. Elsewhere when this is reported it's
because people are providing file paths that are interpretable as URIs with a
scheme, and that's incorrect.
> Spark cannot load files with COLON(:) char if not specified full path
> ---------------------------------------------------------------------
>
> Key: SPARK-28092
> URL: https://issues.apache.org/jira/browse/SPARK-28092
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.4.3
> Environment: Cloudera 6.2
> Spark latest parcel (I think 2.4.3)
> Reporter: Ladislav Jech
> Priority: Major
>
> Scenario:
> I have CSV files in S3 bucket like this:
> s3a://bucket/prefix/myfile_2019:04:05.csv
> s3a://bucket/prefix/myfile_2019:04:06.csv
> Now when I try to load files with something like:
> df = spark.read.load("s3://bucket/prefix/*", format="csv", sep=":",
> inferSchema="true", header="true")
>
> It fails on error about URI (sorry don't have here exact exception), but when
> I list all files from S3 and provide path like array:
> df =
> spark.read.load(path=["s3://bucket/prefix/myfile_2019:04:05.csv","s3://bucket/prefix/myfile_2019:04:05.csv"],
> format="csv", sep=":", inferSchema="true", header="true")
>
> It works, the reason is COLON character in the name of files as per my
> observations.
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