These are simply too costly in their current form now that we are handling double-digit QPS, so at a minimum we'd want to refactor these for batched exports using a background thread (like how Stackdriver metrics work). However, upon further review, that work isn't worth doing if this BigQuery table isn't actually being used for anything, and it seems that we aren't using it anymore given that ICANN transaction reporting no longer requires it.
So the simplest thing to do is simply to get rid of this entirely, and just use a combination of Stackdriver metrics and App Engine logs. The eppMetrics BigQuery table is ~1.2 billion rows and takes up 223 GB, so that's not an insignificant GCP billings saving if we can delete it.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=215905466
This was a surprisingly involved change. Some of the difficulties included
java.util.Optional purposely not being Serializable (so I had to move a
few Optionals in mapreduce classes to @Nullable) and having to add the Truth
Java8 extension library for assertion support.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=171863777
Also fixes the issue that dry run EPP commands were incorrectly being
reported on.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=171062984
Getting rid of builder boilerplate makes my heart sing. Since we can no
longer @Inject the Builder() constructor, this change adds a provider
in WhiteboxModule that calls a special builderForRequest() factory method,
which gets passed a request ID and Clock and preserves the existing
EppMetric magic that sets the start and end time for you.
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Created by MOE: https://github.com/google/moe
MOE_MIGRATED_REVID=132714432
