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This is an automatically generated e-mail. To reply, visit:
https://reviews.apache.org/r/43635/
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(Updated Feb. 19, 2016, 10:27 p.m.)
Review request for mesos, Joris Van Remoortere and Michael Park.
Changes
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Various fixes: introduce functions, replace "long" with "long long", etc.
Bugs: MESOS-4687
https://issues.apache.org/jira/browse/MESOS-4687
Repository: mesos
Description
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Scalar resource values are represented using floating point. As a result, users
could see unexpected results when accepting offers and making reservations for
fractional resources: values like "0.1" cannot be precisely represented using
standard floating point, and the resource values returned to frameworks might
contain an unpredictable amount of roundoff error.
This commit adjusts the master to use fixed-point when doing internal
computations on scalar resource values. The fixed-point format only supports
three decimal digits of precision: that is, fractional resource values like
"0.001" will be supported, but "0.0001" will not be.
Diffs (updated)
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docs/attributes-resources.md 818da8ab0c672144b02f526b2b805cf0505d2c7e
docs/upgrades.md 4f30d725c6ed28c09a1c5528fd4193c3f06b2d93
include/mesos/mesos.proto 636550f255a122d7f714dbd58f587bea8221b461
include/mesos/v1/mesos.proto 1d5af88a343fe9d81688bb3e83aa997ccba7d030
src/common/resources.cpp 5d731870542166cec11f9956ccdf16207b2d22cc
src/common/values.cpp c64407bc97ad858300f4661d616e0480920fc541
src/master/allocator/mesos/hierarchical.cpp
5ef29f26ec8071f79c2f4f78dbe2bb0a613cc92d
src/tests/resources_tests.cpp 96864c3945729fe33be8b243b9c826fb12e90eff
src/v1/resources.cpp 207eb61d6a6d03d314539d42751cac65fcffa9af
src/v1/values.cpp 58ea9875804bf0287855a1e9855855e5e54de4c4
Diff: https://reviews.apache.org/r/43635/diff/
Testing (updated)
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make check
Manually verified that some of the floating point oddities in
https://issues.apache.org/jira/browse/MESOS-4071 do not occur when this patch
is applied, although I wasn't able to reproduce the crash described in that
ticket.
REVIEW NOTES:
* We don't currently emit a warning when discarding additional digits of
precision from input scalar resource values. Should we? That would require
identifying all the points where a resource value is seemed to be
"user-provided", and also runs the risk of generating a ton of log messages
when an old framework is used.
* Similarly, if the user gives us a resource value and we don't do anything to
it, we won't discard any additional precision that appears in the value -- the
precision only gets discarded when we apply an operator like `+` or `-`.
Unclear if we should trim additional precision from all scalar resource values
more aggressively.
PERFORMANCE:
This is the performance of the `DeclineOffers` benchmark WITHOUT this RR
applied (optimized build on my laptop):
```
[ RUN ] HierarchicalAllocator_BENCHMARK_Test.DeclineOffers
Using 2000 slaves and 200 frameworks
round 0 allocate took 2.192425secs to make 200 offers
round 1 allocate took 2.221243secs to make 200 offers
round 2 allocate took 2.236314secs to make 200 offers
round 3 allocate took 2.224045secs to make 200 offers
round 4 allocate took 2.232822secs to make 200 offers
round 5 allocate took 2.264807secs to make 200 offers
round 6 allocate took 2.224853secs to make 200 offers
round 7 allocate took 2.224829secs to make 200 offers
round 8 allocate took 2.24862secs to make 200 offers
round 9 allocate took 2.2556secs to make 200 offers
round 10 allocate took 2.256616secs to make 200 offers
```
And after applying this RR:
```
[ RUN ] HierarchicalAllocator_BENCHMARK_Test.DeclineOffers
Using 2000 slaves and 200 frameworks
round 0 allocate took 2.267919secs to make 200 offers
round 1 allocate took 2.202843secs to make 200 offers
round 2 allocate took 2.20426secs to make 200 offers
round 3 allocate took 2.263887secs to make 200 offers
round 4 allocate took 2.266237secs to make 200 offers
round 5 allocate took 2.276957secs to make 200 offers
round 6 allocate took 2.291821secs to make 200 offers
round 7 allocate took 2.261839secs to make 200 offers
round 8 allocate took 2.325696secs to make 200 offers
round 9 allocate took 2.310469secs to make 200 offers
round 10 allocate took 2.21802secs to make 200 offers
```
Which suggests to me that any performance hit is pretty minimal.
Thanks,
Neil Conway
