[
https://issues.apache.org/jira/browse/SPARK-38330?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
André F. updated SPARK-38330:
-----------------------------
Description:
Trying to run any job after bumping our Spark version from 3.1.2 to 3.2.1, lead
us to the current exception while reading files on s3:
{code:java}
org.apache.hadoop.fs.s3a.AWSClientIOException: getFileStatus on
s3a://<bucket>/<path>.parquet: com.amazonaws.SdkClientException: Unable to
execute HTTP request: Certificate for <bucket> doesn't match any of the subject
alternative names: [*.s3.amazonaws.com, s3.amazonaws.com]: Unable to execute
HTTP request: Certificate for <bucket> doesn't match any of the subject
alternative names: [*.s3.amazonaws.com, s3.amazonaws.com] at
org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:208) at
org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:170) at
org.apache.hadoop.fs.s3a.S3AFileSystem.s3GetFileStatus(S3AFileSystem.java:3351)
at
org.apache.hadoop.fs.s3a.S3AFileSystem.innerGetFileStatus(S3AFileSystem.java:3185)
at org.apache.hadoop.fs.s3a.S3AFileSystem.isDirectory(S3AFileSystem.java:4277)
at
org.apache.spark.sql.execution.streaming.FileStreamSink$.hasMetadata(FileStreamSink.scala:54)
at
org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:370)
at
org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:274) at
org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:245)
at scala.Option.getOrElse(Option.scala:189) at
org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:245) at
org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:596) {code}
We found similar problems in the following tickets but:
- https://issues.apache.org/jira/browse/HADOOP-17017 (we don't use `.` in our
bucket names)
- [https://github.com/aws/aws-sdk-java-v2/issues/1786] (we tried to override
it by building Spark with `httpclient:4.5.10` or `httpclient:4.5.8`, with no
effect. We also made sure we are using the same `httpclient` version on our
main jar).
was:
Trying to run any job after bumping our Spark version from 3.1.2 to 3.2.1, lead
us to the current exception while reading files on s3:
```
org.apache.hadoop.fs.s3a.AWSClientIOException: getFileStatus on
s3a://<bucket>/<path>.parquet: com.amazonaws.SdkClientException: Unable to
execute HTTP request: Certificate for <bucket> doesn't match any of the subject
alternative names: [*.s3.amazonaws.com, s3.amazonaws.com]: Unable to execute
HTTP request: Certificate for <bucket> doesn't match any of the subject
alternative names: [*.s3.amazonaws.com, s3.amazonaws.com] at
org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:208) at
org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:170) at
org.apache.hadoop.fs.s3a.S3AFileSystem.s3GetFileStatus(S3AFileSystem.java:3351)
at
org.apache.hadoop.fs.s3a.S3AFileSystem.innerGetFileStatus(S3AFileSystem.java:3185)
at org.apache.hadoop.fs.s3a.S3AFileSystem.isDirectory(S3AFileSystem.java:4277)
at
org.apache.spark.sql.execution.streaming.FileStreamSink$.hasMetadata(FileStreamSink.scala:54)
at
org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:370)
at
org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:274) at
org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:245)
at scala.Option.getOrElse(Option.scala:189) at
org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:245) at
org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:596)
```
We found similar problems in the following tickets but:
- https://issues.apache.org/jira/browse/HADOOP-17017 (we don't use `.` in our
bucket names)
- [https://github.com/aws/aws-sdk-java-v2/issues/1786] (we tried to override it
by building Spark with `httpclient:4.5.10` or `httpclient:4.5.8`, with no
effect. We also made sure we are using the same `httpclient` version on our
main jar).
> Certificate doesn't match any of the subject alternative names:
> [*.s3.amazonaws.com, s3.amazonaws.com]
> ------------------------------------------------------------------------------------------------------
>
> Key: SPARK-38330
> URL: https://issues.apache.org/jira/browse/SPARK-38330
> Project: Spark
> Issue Type: Bug
> Components: EC2
> Affects Versions: 3.2.1
> Environment: Spark 3.2.1 built with `hadoop-cloud` flag.
> Direct access to s3 using default file committer.
> JDK8.
>
> Reporter: André F.
> Priority: Major
>
> Trying to run any job after bumping our Spark version from 3.1.2 to 3.2.1,
> lead us to the current exception while reading files on s3:
> {code:java}
> org.apache.hadoop.fs.s3a.AWSClientIOException: getFileStatus on
> s3a://<bucket>/<path>.parquet: com.amazonaws.SdkClientException: Unable to
> execute HTTP request: Certificate for <bucket> doesn't match any of the
> subject alternative names: [*.s3.amazonaws.com, s3.amazonaws.com]: Unable to
> execute HTTP request: Certificate for <bucket> doesn't match any of the
> subject alternative names: [*.s3.amazonaws.com, s3.amazonaws.com] at
> org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:208) at
> org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:170) at
> org.apache.hadoop.fs.s3a.S3AFileSystem.s3GetFileStatus(S3AFileSystem.java:3351)
> at
> org.apache.hadoop.fs.s3a.S3AFileSystem.innerGetFileStatus(S3AFileSystem.java:3185)
> at
> org.apache.hadoop.fs.s3a.S3AFileSystem.isDirectory(S3AFileSystem.java:4277)
> at
> org.apache.spark.sql.execution.streaming.FileStreamSink$.hasMetadata(FileStreamSink.scala:54)
> at
> org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:370)
> at
> org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:274)
> at
> org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:245)
> at scala.Option.getOrElse(Option.scala:189) at
> org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:245) at
> org.apache.spark.sql.DataFrameReader.parquet(DataFrameReader.scala:596) {code}
> We found similar problems in the following tickets but:
> - https://issues.apache.org/jira/browse/HADOOP-17017 (we don't use `.` in
> our bucket names)
> - [https://github.com/aws/aws-sdk-java-v2/issues/1786] (we tried to override
> it by building Spark with `httpclient:4.5.10` or `httpclient:4.5.8`, with no
> effect. We also made sure we are using the same `httpclient` version on our
> main jar).
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
