Gil Cottle created HADOOP-18675:
-----------------------------------
Summary: 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
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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