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I'm seeing a weird glitch out of timely dataflow in a heavily loaded scenario (32 worker threads on my laptop) that seems to provide incorrect frontier information to the lookup_map operator. I'm investigating that independently, as the reach of that issue could be much larger, but this fix is sane anyhow: directly consult the trace to see what times it views as closed rather than making the leap from input frontier to that quantity indirectly.

@frankmcsherry frankmcsherry changed the title Work around apparenty timely glitch Work around apparent timely glitch Feb 17, 2021
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I've tracked down and I believe fixed the timely glitch, over in TimelyDataflow/timely-dataflow#360. I think we can close this, or merge it as looking directly at the trace frontier does seem smarter. Perhaps it can linger while we test out the timely fix.

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