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https://issues.apache.org/jira/browse/HADOOP-18675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18032630#comment-18032630
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ASF GitHub Bot commented on HADOOP-18675:
-----------------------------------------
github-actions[bot] closed pull request #5508: HADOOP-18675: Fix CachedSASToken
noisy log errors when SAS token has YYYY-MM-DD expiration
URL: https://github.com/apache/hadoop/pull/5508
> CachedSASToken noisy log errors when SAS token has YYYY-MM-DD expiration
> ------------------------------------------------------------------------
>
> Key: HADOOP-18675
> URL: https://issues.apache.org/jira/browse/HADOOP-18675
> Project: Hadoop Common
> Issue Type: Bug
> Components: fs/azure
> Reporter: Gil Cottle
> Priority: Major
> Labels: pull-request-available
>
> Error Description:
> When using SAS tokens with expiration dates in the format YYYY-MM-DD, a
> frequent error appears in the logs related to the date format. The error
> expects an ISO_DATE_TIME. See [existing
> implementation|https://github.com/apache/hadoop/blob/trunk/hadoop-tools/hadoop-azure/src/main/java/org/apache/hadoop/fs/azurebfs/utils/CachedSASToken.java#LL112-L119].
> The error is noisy in the logs, but does not cause issues.
> Example stacktrace:
> {code:java}
> 23/03/23 15:40:06 ERROR CachedSASToken: Error parsing se query parameter
> (2023-11-05) from SAS.
> java.time.format.DateTimeParseException: Text '2023-11-05' could not be
> parsed at index 10
> at
> java.time.format.DateTimeFormatter.parseResolved0(DateTimeFormatter.java:1949)
> at java.time.format.DateTimeFormatter.parse(DateTimeFormatter.java:1851)
> at java.time.OffsetDateTime.parse(OffsetDateTime.java:402)
> at
> shaded.databricks.azurebfs.org.apache.hadoop.fs.azurebfs.utils.CachedSASToken.getExpiry(CachedSASToken.java:116)
> at
> shaded.databricks.azurebfs.org.apache.hadoop.fs.azurebfs.utils.CachedSASToken.update(CachedSASToken.java:168)
> at
> shaded.databricks.azurebfs.org.apache.hadoop.fs.azurebfs.services.AbfsInputStream.readRemote(AbfsInputStream.java:670)
> at
> shaded.databricks.azurebfs.org.apache.hadoop.fs.azurebfs.services.ReadBufferWorker.lambda$run$0(ReadBufferWorker.java:66)
> at
> com.databricks.common.SparkTaskIOMetrics.withTaskIOMetrics(SparkTaskIOMetrics.scala:43)
> at
> shaded.databricks.azurebfs.org.apache.hadoop.fs.azurebfs.services.ReadBufferWorker.run(ReadBufferWorker.java:65)
> at java.lang.Thread.run(Thread.java:750) {code}
> Desired Resolution:
> Expiration code can read YYYY-MM-DD format as well as existing format.
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