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https://issues.apache.org/jira/browse/MESOS-3345?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14791077#comment-14791077
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Joseph Wu commented on MESOS-3345:
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With regards to supporting unsigned values between {{INT64_MAX}} and
{{UINT64_MAX}}:
* We can patch PicoJSON to parse those values as {{uint64_t}}.
* We can investigate using another parsing library.
* If we want extra precision beyond 64 or 80 bits per double, one possibility
is the [GMP library|https://gmplib.org/]
> Expand the range of integer precision when converting into/out of json.
> -----------------------------------------------------------------------
>
> Key: MESOS-3345
> URL: https://issues.apache.org/jira/browse/MESOS-3345
> Project: Mesos
> Issue Type: Task
> Components: stout
> Reporter: Joseph Wu
> Assignee: Joseph Wu
> Priority: Minor
> Labels: json, mesosphere, protobuf
>
> For [MESOS-3299], we added some protobufs to represent time with integer
> precision. However, this precision is not maintained through protobuf <->
> JSON conversion, because of how our JSON encoders/decoders convert numbers to
> floating point.
> To maintain precision, we can try one of the following:
> * Try using a {{long double}} to represent a number.
> * Add logic to stringify/parse numbers without loss when possible.
> * Try representing {{int64_t}} as a string and parse it as such?
> * Update PicoJson and add a compiler flag, i.e. {{-DPICOJSON_USE_INT64}}
> In all cases, we'll need to make sure that:
> * Integers are properly stringified without loss.
> * The JSON decoder parses the integer without loss.
> * We have some unit tests for big (close to {{INT32_MAX}}/{{INT64_MAX}}) and
> small integers.
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