Aaron Fabbri created HADOOP-15779:
-------------------------------------

             Summary: S3guard: add inconsistency detection metrics
                 Key: HADOOP-15779
                 URL: https://issues.apache.org/jira/browse/HADOOP-15779
             Project: Hadoop Common
          Issue Type: Bug
          Components: fs/s3
    Affects Versions: 3.2.0
            Reporter: Aaron Fabbri


S3Guard uses a trailing log of metadata changes made to an S3 bucket to add 
consistency to the eventually-consistent AWS S3 service. We should add some 
metrics that are incremented when we detect inconsistency (eventual 
consistency) in S3.

I'm thinking at least two counters: (1) getFileStatus() (HEAD) inconsistency 
detected, and (2) listing inconsistency detected. We may want to further 
separate into categories (present / not present etc.)

This is related to Auth. Mode and TTL work that is ongoing, so let me outline 
how I think this should all evolve:

This should happen after HADOOP-15621 (TTL for dynamo MetadataStore), since 
that will change *when* we query both S3 and the MetadataStore (e.g. Dynamo) 
for metadata. There I suggest that:
 # Prune time is different than TTL. Prune time: "how long until inconsistency 
is no longer a problem" . TTL time "how long a MetadataStore entry is 
considered authoritative before refresh"
 # Prune expired: delete entries (when hadoop CLI prune command is run). TTL 
Expired: entries become non-authoritative.
 #  Prune implemented in each MetadataStore, but TTL filtering happens in S3A.

Once we have this, S3A will be consulting both S3 and MetadataStore depending 
on configuration and/or age of the entry in the MetadataStore. Today 
HEAD/getFileStatus() is always short-circuit (skips S3 if MetadataStore returns 
results). I think S3A should consult both when TTL is stale, and invoke a 
callback on inconsistency that increments the new metrics. For listing, we 
already are comparing both sources of truth (except when S3A auth mode is on 
and a directory is marked authoritative in MS), so it would be pretty simple to 
invoke a callback on inconsistency and bump some metrics.

Comments / suggestions / questions welcomed.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: common-dev-unsubscr...@hadoop.apache.org
For additional commands, e-mail: common-dev-h...@hadoop.apache.org

Reply via email to