From c11a2d488ba6520e7a9feae8c18e50ef50307cbc Mon Sep 17 00:00:00 2001 From: Vincent Herlemont Date: Thu, 4 Jan 2024 13:24:52 +0100 Subject: [PATCH] ci: improve bench by data size --- .github/workflows/build_test_linux.yml | 24 +++ Cargo.toml | 3 +- README.md | 2 +- benches/README.md | 26 +++ benches/overhead_data_size.rs | 269 +++++++++++++++++++++++-- benches/results/get_random.png | Bin 0 -> 85001 bytes benches/results/insert_random.png | Bin 0 -> 84300 bytes benches/results/remove_random.png | Bin 0 -> 80134 bytes benches/results/scan_random.png | Bin 0 -> 82490 bytes justfile | 7 + 10 files changed, 309 insertions(+), 22 deletions(-) create mode 100644 benches/README.md create mode 100644 benches/results/get_random.png create mode 100644 benches/results/insert_random.png create mode 100644 benches/results/remove_random.png create mode 100644 benches/results/scan_random.png diff --git a/.github/workflows/build_test_linux.yml b/.github/workflows/build_test_linux.yml index 6c5df932..31f0b306 100644 --- a/.github/workflows/build_test_linux.yml +++ b/.github/workflows/build_test_linux.yml @@ -10,6 +10,30 @@ env: RUST_BACKTRACE: full jobs: + build_bench: + runs-on: ${{ matrix.os }} + strategy: + fail-fast: true + matrix: + os: [ubuntu-latest] + toolchain: [stable] + steps: + - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4 + - name: Setup Rust + uses: actions-rs/toolchain@v1 + with: + toolchain: ${{ matrix.toolchain }} + override: true + - uses: extractions/setup-just@v1 + - uses: hustcer/setup-nu@v3.8 + with: + version: '0.85' + env: + GITHUB_TOKEN: ${{ secrets.PAT_GLOBAL }} + - name: Just version + run: just --version + - name: Build + run: just bench_build build_test: runs-on: ${{ matrix.os }} strategy: diff --git a/Cargo.toml b/Cargo.toml index abd10498..4fbb62f1 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -40,7 +40,8 @@ criterion = { version = "0.5.1" } doc-comment = "0.3.3" uuid = { version = "1", features = ["serde", "v4"] } chrono = { version = "0.4", features = ["serde"] } - +rand = "0.8" +once_cell = "1.19" [features] default = [] diff --git a/README.md b/README.md index 4d19e738..80c096fa 100644 --- a/README.md +++ b/README.md @@ -22,7 +22,7 @@ Here's a drop-in, fast, embedded database for multi-platform apps (server, deskt - Simple API 🦀. - Support for **multiple indexes** (primary, secondary, unique, non-unique, optional). -- Minimal boilerplate. +- Minimal boilerplate see [benchmarks](./benches). - Transparent serialization/deserialization using [native_model](https://github.com/vincent-herlemont/native_model). - **Automatic model migration** 🌟. - **Thread-safe** and fully **ACID-compliant** transactions provided by [redb](https://github.com/cberner/redb). diff --git a/benches/README.md b/benches/README.md new file mode 100644 index 00000000..8bcc6692 --- /dev/null +++ b/benches/README.md @@ -0,0 +1,26 @@ +# Benchmarks + +Highlight the Native DB overhead compared to direct access to the underlying database ([redb](https://github.com/cberner/redb)). + +The benchmarks ignore: +- [`native_model`](https://github.com/vincent-herlemont/native_model) overhead. +- Serialization overhead used by `native_model` like `bincode`,`postcard` etc. +- The fact that `redb` can write the data using zero-copy. + +## Run benchmarks + +If you want to run the benchmarks, you need to install [just](https://github.com/casey/just), [nushell](https://www.nushell.sh/) and run: +```bash +just bench +``` + +## Results + +We can see that the overhead is very low. These result are obtained with the version `0.5.3` of `native_db`. + +### By input size + +![](./results/insert_random.png) +![](./results/get_random.png) +![](./results/remove_random.png) +![](./results/scan_random.png) \ No newline at end of file diff --git a/benches/overhead_data_size.rs b/benches/overhead_data_size.rs index 03c27655..31f33766 100644 --- a/benches/overhead_data_size.rs +++ b/benches/overhead_data_size.rs @@ -1,8 +1,48 @@ use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion}; use native_db::*; use native_model::{native_model, Model}; -use redb::TableDefinition; +use redb::{ReadableTable, TableDefinition}; use serde::{Deserialize, Serialize}; +use once_cell::sync::Lazy; +use rand::prelude::SliceRandom; + +// 1 byte * 10000, 10 bytes * 10000, 100 bytes * 5000, 1KB * 1000, 1MB * 100, 10MB * 10 +const ITERATIONS:&'static [(usize, usize)] = &[(1, 10000), (10, 10000), (100, 5000), (1024, 1000), (1024 * 1024, 100), (10 * 1024 * 1024, 10)]; + +static DATABASE_BUILDER: Lazy = Lazy::new(|| { + let mut builder = DatabaseBuilder::new(); + builder.define::().unwrap(); + builder +}); + +fn init_database() -> (redb::Database, Database<'static>) { + let redb_backend = redb::backends::InMemoryBackend::new(); + let redb_db = redb::Database::builder() + .create_with_backend(redb_backend) + .unwrap(); + + let native_db = DATABASE_BUILDER.create_in_memory().unwrap(); + (redb_db, native_db) +} + +fn generate_random_data(redb_db: &redb::Database, native_db: &Database,nb_bytes: &usize, nb_items: &usize) -> Vec { + let data = Data { + x: 1, + data: vec![1u8; *nb_bytes], + }; + + let mut out = vec![]; + + for _ in 0..*nb_items { + let mut data = data.clone(); + data.random_x(); + use_redb_insert(&redb_db, data.clone()); + use_native_db_insert(&native_db, data.clone()); + out.push(data); + } + + out +} #[derive(Serialize, Deserialize, Clone)] #[native_model(id = 1, version = 1)] @@ -13,51 +53,240 @@ struct Data { data: Vec, } +impl Data { + fn random_x(&mut self) { + self.x = rand::random(); + } +} + const TABLE_REDB: TableDefinition = TableDefinition::new("my_data"); -fn use_redb(db: &redb::Database, data: Data) { + +fn use_redb_insert(db: &redb::Database, data: Data) { let rw = db.begin_write().unwrap(); { let mut table = rw.open_table(TABLE_REDB).unwrap(); + // Because native_db use native_model to encode data, we do the same here + // to remove the overhead of the encoding. let encode = native_model::encode(&data).unwrap(); table.insert(data.x, encode.as_slice()).unwrap(); } rw.commit().unwrap(); } -fn use_native_db(db: &native_db::Database, data: Data) { +fn use_redb_get(db: &redb::Database, x: u32) -> Data { + let ro = db.begin_read().unwrap(); + let out; + { + let table = ro.open_table(TABLE_REDB).unwrap(); + out = table.get(x).unwrap().map(|v| { + native_model::decode(v.value().to_vec()).unwrap().0 + }).expect("Data not found"); + } + out +} + +fn use_redb_scan(db: &redb::Database) -> Vec { + let ro = db.begin_read().unwrap(); + let out; + { + let table = ro.open_table(TABLE_REDB).unwrap(); + out = table.iter().unwrap().map(|r| { + let (_, v) = r.unwrap(); + native_model::decode(v.value().to_vec()).unwrap().0 + }).collect::>(); + } + out +} + +fn redb_remove(db: &redb::Database, x: u32) { + let rw = db.begin_write().unwrap(); + { + let mut table = rw.open_table(TABLE_REDB).unwrap(); + table.remove(x).unwrap().expect("Data not found"); + } + rw.commit().unwrap(); +} + +fn use_native_db_insert(db: &Database, data: Data) { let rw = db.rw_transaction().unwrap(); rw.insert(data).unwrap(); rw.commit().unwrap(); } -fn criterion_benchmark(c: &mut Criterion) { - let mut group = c.benchmark_group("insert"); +fn use_native_db_scan(db: &Database) -> Vec { + let r = db.r_transaction().unwrap(); + let out = r.scan().primary().unwrap().all().collect::>(); + out +} + +fn use_native_db_get(db: &Database, x: u32) -> Data { + let r = db.r_transaction().unwrap(); + let out = r.get().primary(x).unwrap().unwrap(); + out +} + +fn native_db_remove(db: &Database, data: Data) { + let rw = db.rw_transaction().unwrap(); + rw.remove(data).unwrap(); + rw.commit().unwrap(); +} + +// Benchmarks + +fn bench_get_random(c: &mut Criterion) { + let mut group = c.benchmark_group("get_random"); + let plot_config = criterion::PlotConfiguration::default().summary_scale(criterion::AxisScale::Logarithmic); + group.plot_config(plot_config.clone()); + group.sampling_mode(criterion::SamplingMode::Flat); + + for (nb_bytes,nb_items) in ITERATIONS { + group.throughput(criterion::Throughput::Bytes(*nb_bytes as u64)); + + let (redb_db, native_db) = init_database(); + let data = generate_random_data(&redb_db, &native_db, nb_bytes, nb_items); + + group.bench_function(BenchmarkId::new("redb", nb_bytes), |b| { + b.iter_batched( + || { + let item = data.choose(&mut rand::thread_rng()).unwrap(); + item.x + }, + |x| use_redb_get(&redb_db, x), + criterion::BatchSize::SmallInput + ); + }); + group.bench_function(BenchmarkId::new("native_db", nb_bytes), |b| { + b.iter_batched( + || { + let item = data.choose(&mut rand::thread_rng()).unwrap(); + item.x + }, + |x| use_native_db_get(&native_db, x), + criterion::BatchSize::SmallInput + ); + }); + } +} + - // 1 byte, 1KB, 1MB, 10MB, 100MB - for nb_bytes in [1, 1024, 1024 * 1024, 10 * 1024 * 1024, 100 * 1024 * 1024] { - group.throughput(criterion::Throughput::Bytes(nb_bytes as u64)); +fn bench_scan_random(c: &mut Criterion) { + let plot_config = criterion::PlotConfiguration::default().summary_scale(criterion::AxisScale::Logarithmic); + let mut group = c.benchmark_group("scan_random"); + group.plot_config(plot_config.clone()); + group.sampling_mode(criterion::SamplingMode::Flat); + + for (nb_bytes,nb_items) in ITERATIONS { + group.throughput(criterion::Throughput::Bytes(*nb_bytes as u64)); + + let (redb_db, native_db) = init_database(); + generate_random_data(&redb_db, &native_db, nb_bytes, nb_items); + + group.bench_function(BenchmarkId::new("redb", nb_bytes), |b| { + b.iter_with_large_drop(|| use_redb_scan(&redb_db)); + }); + + group.bench_function(BenchmarkId::new("native_db", nb_bytes), |b| { + b.iter_with_large_drop(|| use_native_db_scan(&native_db)); + }); + } +} + + +fn bench_remove_random(c: &mut Criterion) { + let mut group = c.benchmark_group("remove_random"); + let plot_config = criterion::PlotConfiguration::default().summary_scale(criterion::AxisScale::Logarithmic); + group.plot_config(plot_config.clone()); + group.sampling_mode(criterion::SamplingMode::Flat); + + for (nb_bytes,nb_items) in ITERATIONS { + group.throughput(criterion::Throughput::Bytes(*nb_bytes as u64)); + + let (redb_db, native_db) = init_database(); + + group.bench_function(BenchmarkId::new("redb", nb_bytes), |b| { + b.iter_batched( + || { + let mut data = Data { + x: 1, + data: vec![1u8; *nb_bytes as usize], + }; + data.random_x(); + use_redb_insert(&redb_db, data.clone()); + data + }, + |data| redb_remove(&redb_db, data.x), + criterion::BatchSize::SmallInput + ); + }); + + group.bench_function(BenchmarkId::new("native_db", nb_bytes), |b| { + b.iter_batched( + || { + let mut data = Data { + x: 1, + data: vec![1u8; *nb_bytes as usize], + }; + data.random_x(); + use_native_db_insert(&native_db, data.clone()); + data + }, + |data| native_db_remove(&native_db, data), + criterion::BatchSize::SmallInput + ); + }); + } +} + + +fn bench_insert_random(c: &mut Criterion) { + let mut insert_random_group = c.benchmark_group("insert_random"); + let plot_config = criterion::PlotConfiguration::default().summary_scale(criterion::AxisScale::Logarithmic); + insert_random_group.plot_config(plot_config.clone()); + insert_random_group.sampling_mode(criterion::SamplingMode::Flat); + + // 1 byte, 10 bytes, 100 bytes, 1KB, 1MB, 10MB + for (nb_bytes,_) in ITERATIONS { + insert_random_group.throughput(criterion::Throughput::Bytes(*nb_bytes as u64)); let data = Data { x: 1, - data: vec![1u8; nb_bytes as usize], + data: vec![1u8; *nb_bytes as usize], }; - let redb_backend = redb::backends::InMemoryBackend::new(); - let redb_db = redb::Database::builder() - .create_with_backend(redb_backend) - .unwrap(); + let (redb_db, native_db) = init_database(); - group.bench_function(BenchmarkId::new("redb", nb_bytes), |b| { - b.iter(|| use_redb(&redb_db, data.clone())) + let batch_size = match nb_bytes { + nb_bytes if *nb_bytes < 1024 => criterion::BatchSize::SmallInput, + nb_bytes if *nb_bytes < 1024 * 1024 => criterion::BatchSize::LargeInput, + _ => criterion::BatchSize::PerIteration, + }; + + insert_random_group.bench_function(BenchmarkId::new("redb", nb_bytes), |b| { + b.iter_batched( + || { + let mut data = data.clone(); + data.random_x(); + data + }, + |data| use_redb_insert(&redb_db, data), + batch_size + ); }); - let mut native_db = native_db::Database::create_in_memory().unwrap(); - native_db.define::().unwrap(); - group.bench_function(BenchmarkId::new("native_db", nb_bytes), |b| { - b.iter(|| use_native_db(&native_db, data.clone())) + insert_random_group.bench_function(BenchmarkId::new("native_db", nb_bytes), |b| { + b.iter_batched( + || { + let mut data = data.clone(); + data.random_x(); + data + }, + |data| use_native_db_insert(&native_db, data), + batch_size + ); }); } + insert_random_group.finish(); } -criterion_group!(benches, criterion_benchmark); +criterion_group!(benches, bench_insert_random, bench_scan_random, bench_get_random, bench_remove_random); criterion_main!(benches); diff --git a/benches/results/get_random.png b/benches/results/get_random.png new file mode 100644 index 0000000000000000000000000000000000000000..d0e623b736aa5a38b018e32e5b3029ad355a789a GIT binary patch literal 85001 zcmeFYXH-*L)HaH8z@vy9k08?Z&_O`y9T5RT@4YF#OYg-396?$jAiajrdyyJY>Ai#w zQK}Fiv;Zk2H{wy>`|tj^f4=d(dob8zXY4)KT+foGv@PvRB)r_H~_XF6|1BX3=IJ8!>dp0*_RZtkwO zd|uX`wzh6w4({GaQm8Bm$z2k_6L~%V%$=oY4h+gG_yf+U8`ED{%Dc$uJgq>CPwqwZ z32UVxVz}1s3ZfNUJpam|HUUQ%IOa7}jXjy6m1vESYK^d1e9X`=_MEnI_9d@DZuemf z_10baYi$0cl=``st~%|1q-)da!dn_O+L{8z-ZF7+ost$c)~9EsEzuMn4GrncIN__opT8&8 zcuAhrDu&u#N#unrds+QM7po3&FnY8=N{jdROS2|_P%>*da+JKy@Ug3zSw-r>-zE%I z6hCS%JdS!zpT*rb3$J)t_b{Td@C#>-mspjWC&m(ti_j_$R8~<_G55Fc< zK#zM+HSwyKN;u;hBa^}C+p*i3OWK&-e_Leh*Pc$SC+o~Gt#`!mR+E9{5;qRhasQO8 zoxPcuQEln{x9{&ydRFdHkC!%+ai%s3R-gB;&@97?iuj88f6r3d=}&s;+a-XxW!Sl*5xgvQYm zF52Y4ut%gUY6GPm(m@}inGrghT?wzku5*pe=W{5S)Nk4@DAJU-d7?894JXRF{^&LM z8fenJQM}>&2jy=*z5tZQtW@s^F1)_hbfv*Rz{+(jSEBe^fAK#Hm-Vo!`P;Vsj>P^y)eH*clExzFL18} z4LQ9lE&6hAc)9Bx#21NRZL8FB3I!j&ZW#cv{3fT#_=-GU;%F?ls3Ir16*#^VFA>{* zXK{;1M)Gzoz4*<^vt8Ju@BkYl-BphWW-Hhg)~UQ)P0xWC&pT@HPV}=!*mU2L)evV$ z+2vnEtr-3i_W%3+r3gH=!I=Aww>tB^xCvyBuxGmy?B#TEq};CIzI>~r-&3sGLu+Ue zkVEe2K)(C0&%-%y%acl{xyAAv7^B_=D&!enp>c-4stvgm@hVc!_w&Y8gqfz(S#3Mo zXWPJ4|*>F%*sqO&p zd5994g@R{f&eNvPg_3Ju?P;RIO)^tt`%vU<9Tf|n@__z7{mLLA2#sfZ@m!t)EJpBN zThnP!z2J;zZD{3jKg+9a>FI)R%RyT<$|p;&?hopGb@M0*%TnYk1@IMFzHDdO4wfy9 zY;{UzhqTEuX*COoE~>^|lPgS4@9#TQO!nvGAsm`ECDFI*naCU)D#z)XyR{4cRzYcv zJBLAxOLVZWU+BQj!;J9Bs&^vg`xxFJ=OhpH)QMNJZ;8w4ii{ISWQ{VJeVYR!XAFGEo}bTm!0s(0`X2O1r}uVvRUlv9k*efGbz_j zI8^_9FRy6HG!^03N;CVHIG4lPC|3AEUCs5?wKp5Rt+r1mUV*1LS?STfT`sd1J!2xz-A#0V;6kvmv&PkF`^w64!FFLuFApor;rx$w1>_&gUuHGZ6M}KBm2`_+!O- z!pnPvm;VOFDbfUTbB6=}ePyG+F=76ZNos8r?FM>54m-U;n&J-Dt6z2(TCQ>Np&(WuiKyFp^m z!=`4r(rC{ zhm&YcbdolyEt*)v&lMgg7AOoD4u}$j%ZJpUuc)RB8+%$8ru<5rIv4(QK2uUU4`MD{ z3=;NI(j)}vMXbwXm+twnye(c$%Y79@>g4R41f5G@G>r&W>8FYm32o>3HqJQyBD6(5 zi-P{`&SWQz?h=c=@QJ6DHCLXQR&A>S1X_`dI4bj7oS1zpX)2V=37eTHI9PXX=PX^8 zTNAdp3cgcuiERE{&{cJAq4C`&IcP9@((}zHe7>ry0N5a(JnyJ(;M_Hel=&BQB#n%` z^tcVW?O*(S4>g#_$S;6oP>n@+RB`2vYCuR+@Bm8f=$cg_-2RTLVDTv}21LP)H(* z$woD}vLVuqVk>!(K zkaz=t|(n3x%zn$+bLUEw->b|804$JB?bvr)e+HT4hbocpEwwpH6MZ>kHM741+h z>=YWW1=|H_LfjwULZYUZWPfWyXVUkf9Ua|_v5zZ^57sj$3`=z`cZ6J%t?Sphtn}#R z_S|6{c(DRoS)^C_FaiI;<*x~sa!Sf%*aK>-_eDeGWpqzXoUp$2P?5rKd6K50Kfxu2 zq4_t3JExnI4BaZXksINcD}3TB9TEv8rE-IcG%-{UHka*P7;z^p`oBLRvC{p6vf3w< zzuYb3E?`)M{9Nq8RQ<+X<&lrC$tcsOM-MGu)cX_Ie?v!7D$O4=u=?=J&~TX%lkf+j z(n^A=8@}ss-ss-m1l_|(b;<;nB}BZ1xMN`Cef)Q{PHD*77P7UPx%Nb z;ECL$=J<3n)g&Y(*8xB!#T?c0Yyj!5ty;(Z>49zf1TKB*x05B2zVnKFRuX|MYWDzF z-rzabLJI2Uy_Tm-Jv4bsFHSaW5?4=<|NDA;LPU9FoD%3P5BT80<>lu*<)%SPx_;h$y2$29{R2Bct6i1LzS`Z*OvOir_qPkJOI*?$o! z>f5TOl{KyjO--~-f)4s-O8SoU%LI~D(=i+sOmFFhm4(l=U52kwoDAiXcg#n-axt#E z>op4O@9sYc3$TC1_?uj4E79+kZU_!6rxbF~sY{vDRb5xqJnpj;`Cy5$(_)?RwR^BA z9Vl;&jBNNjgez4Tt<)5W$A+W0P173~0g>szhc@wgvQ(|_y%V(R;=iE~8 zg74_to4da!=0f+1e4*mL#5$NTjrCwuZZy}~iepEZ7;LEmVuKS?%v08cY^0UsNzt#i z2{u}Z)3DUcg;hzWJ+0A&0u^)KzDj0V%WD0WEW;BlfSn*xn25bWGG)zkXkn73X?=}v z#*x1)aqost+k?XXjK-$t8~4G`r^QGsEhd53!P5FJ|5;x8_u44NlKJe9{m$Q>q>^_$ zXvpziur-j-Qs>=DsdmjcO0hH^*Rat!h&4CBmoz6Kgh8|+y8 zmUye)pOL`GP6ju)(kT6W9O&b0Fb!)fZ|2KvcYorY_n_iK7>eD#@-8BUeXv%qdV(Iy z)*!ggCseqX8bp1SoaW5>QP=rBGBtpwUQ4z%M~1#ruu(sY!IfE3<&|hAq#hTw&gRS9 zq4lnn2w*uv!nV>bnVAK4)=)aih%m(YLnNtudFtWNXV0PMpAs+{H+X!SG%W8#zN@XH z{%EuzM1#Hy*_t6eoiWUKu~#I5aeMs9(q7-BB!w6=X()btwo5_2CYCX^W;&I>+t(Pw zV-m1_Bw_0Ynx5AG?jA>Rg5zMziwVhUcS%zERq^)rT5jH zRWhXCIH2Mb^}gkXFBkO8H}I9Vp8|hBPZ@G3F@+Q!^qQz=c1m9K7 zA1qR`lZ64_X;p}3L}FW7=q#lhtq(Dbn>;tt%{dG{Jc?46>^K~mJg9EBq< zARnXt*5u5?elMWuh@bp6!P2BWg&t}*rv=o8-O=7zf5YMI3K(b9 zTC*`bw_lBJWT;(6YW2?HA`uRm>0>LY_hO%%I9k~qX&5!9(lZIC8mtI}(5KIxsoklN zSJdbM`HNM)aE=}QAHL^4(f255rEP^3cPRynVI%7 z(c&t8ASPhnmB`xvfS9JpE7}l6FU(IhwyM8e!bd^%AG6w;Mi7cX?b>?d9yY>FC9axJ zv%Z$XsC?fPe5B$AyHneyve${^hIGY&K?2NR{O`cvh2{5*+3#yKv}uy&_ag~OJk_h; 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