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segment_map: Also segment the bucket array #1

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StephanDollberg
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My change from martinus#112

Merge into our fork while we sort out the upstreaming part.

In segmented mode we only applied the segmenting to the values array but
not the bucket array.

As a result there the pattern of there still being a deallocation
followed by an increased allocation when resizing the hash map
continues to exist.

Further, in environments where the max allocation size is limited
because of fragmentation issues this can lead to problems.

To avoid both of these issues this patch makes the bucket array use the
same datastructure as the values array, i.e.: a `std::vector` when
linear and `segmented_vector` when segmented (or the passed
datastructure if specified).

This extra indirection does add some overhead in the segmented case.
Looking at the quick benchmarks we see:

Before:

```
|               ns/op |                op/s |    err% |          ins/op |          cyc/op |    IPC |         bra/op |   miss% |     total | benchmarking
|--------------------:|--------------------:|--------:|----------------:|----------------:|-------:|---------------:|--------:|----------:|:-------------
|        8,912,995.09 |              112.20 |    0.1% |  225,712,537.08 |   26,628,198.00 |  8.476 |  25,133,812.23 |    0.1% |      1.15 | `ankerl::unordered_dense::map<uint64_t, size_t> segmented_vector iterate while adding then removing`
|       65,440,597.50 |               15.28 |    0.1% |  496,971,523.50 |  195,721,929.00 |  2.539 |  64,749,156.50 |   11.2% |      1.44 | `ankerl::unordered_dense::map<uint64_t, size_t> segmented_vector random insert erase`
|       63,254,162.50 |               15.81 |    0.1% |  540,753,642.50 |  188,790,381.00 |  2.864 | 101,168,500.00 |    6.3% |      1.39 | `ankerl::unordered_dense::map<uint64_t, size_t> segmented_vector 50% probability to find`
|        9,777,270.50 |              102.28 |    0.2% |  281,149,360.00 |   28,833,467.00 |  9.751 |  25,968,567.75 |    0.1% |      1.19 | `ankerl::unordered_dense::map<std::string, size_t> segmented_vector iterate while adding then removing`
|      220,368,952.00 |                4.54 |    0.2% |2,707,978,150.00 |  659,198,358.00 |  4.108 | 347,649,399.00 |    3.8% |      2.43 | `ankerl::unordered_dense::map<std::string, size_t> segmented_vector random insert erase`
|      156,887,435.00 |                6.37 |    0.1% |2,166,844,490.00 |  464,728,290.00 |  4.663 | 266,835,027.00 |    2.5% |      1.73 | `ankerl::unordered_dense::map<std::string, size_t> segmented_vector 50% probability to find`
```

After:

```
|               ns/op |                op/s |    err% |          ins/op |          cyc/op |    IPC |         bra/op |   miss% |     total | benchmarking
|--------------------:|--------------------:|--------:|----------------:|----------------:|-------:|---------------:|--------:|----------:|:-------------
|        8,921,748.31 |              112.09 |    0.1% |  226,313,644.69 |   26,684,106.00 |  8.481 |  25,174,702.92 |    0.1% |      1.18 | `ankerl::unordered_dense::map<uint64_t, size_t> segmented_vector iterate while adding then removing`
|       75,578,500.00 |               13.23 |    0.1% |  597,036,791.50 |  226,059,912.00 |  2.641 |  64,865,689.00 |   11.3% |      1.14 | `ankerl::unordered_dense::map<uint64_t, size_t> segmented_vector random insert erase`
|       74,928,542.00 |               13.35 |    0.1% |  677,557,943.00 |  223,726,152.00 |  3.029 |  91,606,575.00 |    7.0% |      1.13 | `ankerl::unordered_dense::map<uint64_t, size_t> segmented_vector 50% probability to find`
|       10,079,993.00 |               99.21 |    0.4% |  293,716,069.73 |   29,697,236.40 |  9.890 |  25,980,823.83 |    0.1% |      1.20 | `ankerl::unordered_dense::map<std::string, size_t> segmented_vector iterate while adding then removing`
|      220,081,085.00 |                4.54 |    0.1% |2,721,992,469.00 |  658,245,042.00 |  4.135 | 345,686,575.00 |    3.8% |      2.42 | `ankerl::unordered_dense::map<std::string, size_t> segmented_vector random insert erase`
|      158,126,693.00 |                6.32 |    0.1% |2,191,768,626.00 |  468,710,736.00 |  4.676 | 267,938,632.00 |    2.5% |      1.74 | `ankerl::unordered_dense::map<std::string, size_t> segmented_vector 50% probability to find`
```

If we think this is not unconditionally acceptable then we could
possibly add another template parameter (or make IsSegmented an enum) to
decide which parts are supposed to be segmented.

Fixes martinus#94
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CLAassistant commented Mar 15, 2024

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std::memcpy(m_buckets, other.m_buckets, sizeof(Bucket) * bucket_count());
if constexpr (IsSegmented) {
for (auto i = 0UL; i < bucket_count(); ++i) {
at(m_buckets, i) = at(other.m_buckets, i);
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Perhaps in the future this could still do the memcpy for each segment, right?

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Yes, though we'd need some form of fragment iterator API.

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@travisdowns travisdowns left a comment

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LGTM

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@dotnwat dotnwat left a comment

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nice. is this the 3rd-party container that was referenced in Travis' issue filed in upstream Seastar regarding a fragmented data structure for use in metrics?

@StephanDollberg StephanDollberg merged commit e3ebdd2 into redpanda-data:redpanda Mar 19, 2024
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nice. is this the 3rd-party container that was referenced in Travis' issue filed in upstream Seastar regarding a fragmented data structure for use in metrics?

It would be one of the candidates I guess yes.

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4 participants