feat: add loop test ip
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@ -0,0 +1,12 @@
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# ip2region rust binding makefile
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all: build
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.PHONY: all
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build:
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cargo build -r
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test:
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cargo test
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bench:
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cargo bench
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clean:
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find ./ -name xdb_searcher | xargs rm -f
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@ -1,7 +1,79 @@
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# ip2region rust 查询客户端实现
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# ip2region xdb rust 查询客户端实现
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# 使用方式
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### 缓存整个 `xdb` 数据
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可以预先加载整个 ip2region.xdb 到内存,完全基于内存查询,类似于之前的 memory search 查询。
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```golang
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// 1、从 dbPath 加载整个 xdb 到内存
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cBuff, err := LoadContentFromFile(dbPath)
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if err != nil {
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fmt.Printf("failed to load content from `%s`: %s\n", dbPath, err)
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return
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}
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// 2、用全局的 cBuff 创建完全基于内存的查询对象。
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searcher, err := xdb.NewWithBuffer(cBuff)
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if err != nil {
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fmt.Printf("failed to create searcher with content: %s\n", err)
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return
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}
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// 备注:并发使用,用整个 xdb 缓存创建的 searcher 对象可以安全用于并发。
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```
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# 编译测试程序
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通过如下方式编译得到 xdb_searcher 可执行程序:
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```bash
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# 切换到 golang binding 根目录
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make
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```
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# 查询测试
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通过 `xdb_searcher search` 命令来测试 ip2region.xdb 的查询:
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```
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➜ golang git:(v2.0_xdb) ./xdb_searcher search
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./xdb_searcher search [command options]
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options:
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--db string ip2region binary xdb file path
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--cache-policy string cache policy: file/vectorIndex/content
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```
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例如:使用默认的 data/ip2region.xdb 进行查询测试
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```bash
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➜ golang git:(v2.0_xdb) ✗ ./xdb_searcher search --db=../../data/ip2region.xdb
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ip2region xdb searcher test program, type `quit` to exit
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ip2region>> 1.2.3.4
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{region:美国|0|华盛顿|0|谷歌, took:101.57µs}
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```
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输入 ip 地址进行查询即可,输入 quit 退出测试程序。可以设置 `cache-policy` 为 file/vectorIndex/content 来测试不同的查询缓存机制。
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# bench 测试
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通过 `xdb_searcher bench` 命令来进行自动 bench 测试,一方面确保程序和 `xdb` 文件都没有错误,另一方面通过大量的查询得到平均查询性能:
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```bash
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➜ golang git:(v2.0_xdb) ./xdb_searcher bench
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./xdb_searcher bench [command options]
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options:
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--db string ip2region binary xdb file path
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--src string source ip text file path
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--cache-policy string cache policy: file/vectorIndex/content
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```
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例如:通过 data/ip2region.xdb 和 data/ip.merge.txt 进行 bench 测试:
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```bash
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➜ golang git:(v2.0_xdb) ✗ ./xdb_searcher bench --db=../../data/ip2region.xdb --src=../../data/ip.merge.txt
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Bench finished, {total: 3417955, took: 28.211578339s, cost: 8253 ns/op}
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```
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可以设置 `cache-policy` 参数来分别测试 file/vectorIndex/content 不同缓存实现机制的效率。
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*请注意 bench 使用的 src 文件需要是生成对应的 xdb 文件的相同的源文件*。
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bench 程序会逐行读取 `src` 指定的源IP文件,然后每个 IP 段选取 5 个固定位置的 IP 进行测试,以确保查询的 region 信息和原始的 region 信息是相同。测试途中没有调试信息的输出,有错误会打印错误信息并且终止运行,所以看到 `Bench finished` 就表示 bench 成功了,cost 是表示每次查询操作的平均时间(ns)。
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@ -4,6 +4,6 @@ pub fn get_matches() -> ArgMatches {
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Command::new("ip2region")
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.version("0.1")
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.about("ip2region bin program")
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.arg(arg!(--xdb <xdb> "the xdb filepath, you can set this field like ../data/ip2region.xdb").required(true))
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.arg(arg!(--xdb <xdb> "the xdb filepath, you can set this field like ../data/ip2region.xdb"))
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.get_matches()
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}
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@ -1,9 +1,29 @@
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use std::env;
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use std::io::Write;
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use std::time::Instant;
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mod cmd;
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fn main() {
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let matches = cmd::get_matches();
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let xdb_filepath = matches.get_one::<String>("xdb").unwrap();
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println!("{xdb_filepath}----");
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// let result = search::search_by_ip("1.2.165.128");
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// println!("{:?}", result);
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env::var("XDB_FILEPATH").unwrap_or_else(|_| {
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let matches = cmd::get_matches();
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let xdb_filepath = matches.get_one::<String>("xdb").unwrap();
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env::set_var("XDB_FILEPATH", xdb_filepath);
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xdb_filepath.to_owned()
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});
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search::global_searcher();
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println!("ip2region xdb searcher test program, type `quit` to exit");
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loop {
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print!("ip2region>> ");
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std::io::stdout().flush().unwrap();
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let mut line = String::new();
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std::io::stdin().read_line(&mut line).unwrap();
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if line.contains("quit") {
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break
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}
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let now = Instant::now();
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let result = search::search_by_ip(line.trim());
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println!("region: {:?}, took: {:?}", result, now.elapsed());
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}
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}
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@ -12,9 +12,9 @@ license = "Apache-2.0"
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once_cell = "1.16"
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[dev-dependencies]
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criterion = "0.3"
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criterion = "0.4"
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rand = "0.8"
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#[[bench]]
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#name = "search"
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#harness = false
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[[bench]]
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name = "search"
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harness = false
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@ -1,13 +1,14 @@
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// use criterion::{black_box, criterion_group, criterion_main, Criterion, BenchmarkId};
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// use rand;
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//
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// fn ip_search_benchmark(c: &mut Criterion) {
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// let searcher = search::Searcher::new("../../../data/ip2region.xdb").unwrap();
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// c.bench_with_input(BenchmarkId::new("searcher", searcher),
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// &searcher, |b, &seacher| {
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// b.iter(|| seacher.search_by_ip(black_box(rand::random::<u32>())));
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// });
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// }
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//
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// criterion_group!(benches, ip_search_benchmark);
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// criterion_main!(benches);
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use criterion::{Criterion, criterion_group, criterion_main};
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use rand;
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use search::search_by_ip;
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fn ip_search_benchmark(c: &mut Criterion) {
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c.bench_function("ip_search_bench", |b| b.iter(|| {
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let ip = rand::random::<u32>();
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search_by_ip(ip).unwrap();
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}));
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}
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criterion_group!(benches, ip_search_benchmark);
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criterion_main!(benches);
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@ -4,6 +4,7 @@ use std::error::Error;
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use std::fs::File;
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use std::io::Read;
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use std::fmt;
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use std::env;
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use std::fmt::Formatter;
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use once_cell::sync::OnceCell;
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@ -22,10 +23,13 @@ pub struct Searcher {
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pub buffer: Vec<u8>,
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}
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fn global_searcher() -> &'static Searcher {
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pub fn global_searcher() -> &'static Searcher {
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static SEARCHER: OnceCell<Searcher> = OnceCell::new();
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SEARCHER.get_or_init(|| {
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Searcher::new(DEFAULT_XDB_FILEPATH).unwrap()
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let xdp_filepath = env::var("XDB_FILEPATH")
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.unwrap_or_else(|_| DEFAULT_XDB_FILEPATH.to_owned());
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println!("init xdb searcher at {xdp_filepath}");
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Searcher::new(xdp_filepath.as_str()).unwrap()
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})
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}
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@ -103,6 +107,7 @@ mod tests {
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use super::*;
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use std::net::Ipv4Addr;
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use std::str::FromStr;
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use std::thread;
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const TEST_IP_FILEPATH: &str = "../../../data/ip.test.txt";
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@ -135,4 +140,15 @@ mod tests {
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}
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}
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}
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#[test]
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fn test_multi_thread() {
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let handle = thread::spawn(|| {
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let result = search_by_ip("2.2.2.2").unwrap();
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println!("ip search in spawn: {result}");
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});
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let r = search_by_ip("1.1.1.1").unwrap();
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println!("ip search in main thread: {r}");
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handle.join().unwrap();
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}
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}
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