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https://issues.apache.org/jira/browse/SPARK-21797?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16140147#comment-16140147
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Steve Loughran commented on SPARK-21797:
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Note that if it is just during spark partition calculation, it's probable that
it is going down the directory tree and inspecting the files through HEAD
requests, maybe looking at metadata entries too. So do attach the s3a & spark
trace so we can see what's going on, as something may be over enthusastic about
looking at files, or we could have something recognise the problem and recover
from it.
> spark cannot read partitioned data in S3 that are partly in glacier
> -------------------------------------------------------------------
>
> Key: SPARK-21797
> URL: https://issues.apache.org/jira/browse/SPARK-21797
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.2.0
> Reporter: Boris Clémençon
> Labels: glacier, partitions, read, s3
>
> I have a dataset in parquet in S3 partitioned by date (dt) with oldest date
> stored in AWS Glacier to save some money. For instance, we have...
> {noformat}
> s3://my-bucket/my-dataset/dt=2017-07-01/ [in glacier]
> ...
> s3://my-bucket/my-dataset/dt=2017-07-09/ [in glacier]
> s3://my-bucket/my-dataset/dt=2017-07-10/ [not in glacier]
> ...
> s3://my-bucket/my-dataset/dt=2017-07-24/ [not in glacier]
> {noformat}
> I want to read this dataset, but only a subset of date that are not yet in
> glacier, eg:
> {code:java}
> val from = "2017-07-15"
> val to = "2017-08-24"
> val path = "s3://my-bucket/my-dataset/"
> val X = spark.read.parquet(path).where(col("dt").between(from, to))
> {code}
> Unfortunately, I have the exception
> {noformat}
> java.io.IOException:
> com.amazon.ws.emr.hadoop.fs.shaded.com.amazonaws.services.s3.model.AmazonS3Exception:
> The operation is not valid for the object's storage class (Service: Amazon
> S3; Status Code: 403; Error Code: InvalidObjectState; Request ID:
> C444D508B6042138)
> {noformat}
> I seems that spark does not like partitioned dataset when some partitions are
> in Glacier. I could always read specifically each date, add the column with
> current date and reduce(_ union _) at the end, but not pretty and it should
> not be necessary.
> Is there any tip to read available data in the datastore even with old data
> in glacier?
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