Performance regression since v0.8.0 about csv.jl HOT 1 OPEN

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# status: waiting for both good and bad commits
# bad: [cfb4ffb5d9847df4f8d5efa5129b27026a83a4a8] `typemap`: switch to IdDict (#1069)
git bisect bad cfb4ffb5d9847df4f8d5efa5129b27026a83a4a8
# status: waiting for good commit(s), bad commit known
# good: [c94256adbe6c2ae017be90ae91976f3b5bb74aa4] bump version
git bisect good c94256adbe6c2ae017be90ae91976f3b5bb74aa4
# bad: [549b1ab03155c8c96485406881addcc65ef914e8] Take dependency on InlineStrings package (#923)
git bisect bad 549b1ab03155c8c96485406881addcc65ef914e8
# good: [f405361298ac09692024c0afdf546df880899223] Bump version
git bisect good f405361298ac09692024c0afdf546df880899223
# bad: [ea9eca2de56470a8e585ae4ee92495a88a632fbb] bump version
git bisect bad ea9eca2de56470a8e585ae4ee92495a88a632fbb
# bad: [17bffa1a5e2bc570e913d1f0bac98e65e3aeb1e4] Overhaul CSV.jl docs (#869)
git bisect bad 17bffa1a5e2bc570e913d1f0bac98e65e3aeb1e4
# bad: [0eaacb4c4d5787a5186dac8edf523ee9052db27f] Keyword argument cleanup in preparation for 1.0 release (#846)
git bisect bad 0eaacb4c4d5787a5186dac8edf523ee9052db27f
# bad: [ffda8d35793eea4f254f51de213527e5ed55359a] Fix nightly
git bisect bad ffda8d35793eea4f254f51de213527e5ed55359a
# bad: [bfd415d0af4c7c1842ecc5b54f1e4a18b125a264] CSV parsing internals refactoring (#837)
git bisect bad bfd415d0af4c7c1842ecc5b54f1e4a18b125a264
# good: [fc209672d0a894954c5dc1e0835e0426b9d2925c] make "Edit on Github" points to main branch (#835)
git bisect good fc209672d0a894954c5dc1e0835e0426b9d2925c
# first bad commit: [bfd415d0af4c7c1842ecc5b54f1e4a18b125a264] CSV parsing internals refactoring (#837)

using CSV
using BenchmarkTools
using Random
using Pkg

Pkg.resolve()
Pkg.status()

Random.seed!(0)
open("test.csv", "w") do f
    for _ in 1:100_000
        write(f, join([randstring('a':'z') for _ in 1:8], ","))
        write(f, "\n")
    end
end
function read(rows)
    bla = 0
    for r in rows
        bla += hash(r.a)
        bla += hash(r.b)
        bla += hash(r.c)
        bla += hash(r.d)
        bla += hash(r.e)
        bla += hash(r.f)
        bla += hash(r.g)
        bla += hash(r.h)
    end
    bla
end

rows = CSV.Rows("test.csv", reusebuffer=true, header=Symbol.('a':'h'))
bench = @benchmarkable read($rows)
tune!(bench)
results = run(bench)
show(stdout::IO, MIME"text/plain"(), results)