java获取IP归属地全网显示开源库使用

<dependency>
    <groupId>org.lionsoul</groupId>
    <artifactId>ip2region</artifactId>
    <version>2.6.4</version>
</dependency>

import org.lionsoul.ip2region.xdb.Searcher;
import java.io.*;
import java.util.concurrent.TimeUnit;
public class SearcherTest {
    public static void main(String[] args) {
        // 1、创建 searcher 对象
        String dbPath = "ip2region.xdb file path";
        Searcher searcher = null;
        try {
            searcher = Searcher.newWithFileOnly(dbPath);
        } catch (IOException e) {
            System.out.printf("failed to create searcher with `%s`: %s\n", dbPath, e);
            return;
        }
        // 2、查询
        try {
            String ip = "1.2.3.4";
            long sTime = System.nanoTime();
            String region = searcher.search(ip);
            long cost = TimeUnit.NANOSECONDS.toMicros((long) (System.nanoTime() - sTime));
            System.out.printf("{region: %s, ioCount: %d, took: %d μs}\n", region, searcher.getIOCount(), cost);
        } catch (Exception e) {
            System.out.printf("failed to search(%s): %s\n", ip, e);
        }
        // 3、备注：并发使用，每个线程需要创建一个独立的 searcher 对象单独使用。
    }
}

import org.lionsoul.ip2region.xdb.Searcher;
import java.io.*;
import java.util.concurrent.TimeUnit;
public class SearcherTest {
    public static void main(String[] args) {
        String dbPath = "ip2region.xdb file path";
        // 1、从 dbPath 中预先加载 VectorIndex 缓存，并且把这个得到的数据作为全局变量，后续反复使用。
        byte[] vIndex;
        try {
            vIndex = Searcher.loadVectorIndexFromFile(dbPath);
        } catch (Exception e) {
            System.out.printf("failed to load vector index from `%s`: %s\n", dbPath, e);
            return;
        }
        // 2、使用全局的 vIndex 创建带 VectorIndex 缓存的查询对象。
        Searcher searcher;
        try {
            searcher = Searcher.newWithVectorIndex(dbPath, vIndex);
        } catch (Exception e) {
            System.out.printf("failed to create vectorIndex cached searcher with `%s`: %s\n", dbPath, e);
            return;
        }
        // 3、查询
        try {
            String ip = "1.2.3.4";
            long sTime = System.nanoTime();
            String region = searcher.search(ip);
            long cost = TimeUnit.NANOSECONDS.toMicros((long) (System.nanoTime() - sTime));
            System.out.printf("{region: %s, ioCount: %d, took: %d μs}\n", region, searcher.getIOCount(), cost);
        } catch (Exception e) {
            System.out.printf("failed to search(%s): %s\n", ip, e);
        }
        // 备注：每个线程需要单独创建一个独立的 Searcher 对象，但是都共享全局的制度 vIndex 缓存。
    }
}

import org.lionsoul.ip2region.xdb.Searcher;
import java.io.*;
import java.util.concurrent.TimeUnit;
public class SearcherTest {
    public static void main(String[] args) {
        String dbPath = "ip2region.xdb file path";
        // 1、从 dbPath 加载整个 xdb 到内存。
        byte[] cBuff;
        try {
            cBuff = Searcher.loadContentFromFile(dbPath);
        } catch (Exception e) {
            System.out.printf("failed to load content from `%s`: %s\n", dbPath, e);
            return;
        }
        // 2、使用上述的 cBuff 创建一个完全基于内存的查询对象。
        Searcher searcher;
        try {
            searcher = Searcher.newWithBuffer(cBuff);
        } catch (Exception e) {
            System.out.printf("failed to create content cached searcher: %s\n", e);
            return;
        }
        // 3、查询
        try {
            String ip = "1.2.3.4";
            long sTime = System.nanoTime();
            String region = searcher.search(ip);
            long cost = TimeUnit.NANOSECONDS.toMicros((long) (System.nanoTime() - sTime));
            System.out.printf("{region: %s, ioCount: %d, took: %d μs}\n", region, searcher.getIOCount(), cost);
        } catch (Exception e) {
            System.out.printf("failed to search(%s): %s\n", ip, e);
        }
        // 备注：并发使用，用整个 xdb 数据缓存创建的查询对象可以安全的用于并发，也就是你可以把这个 searcher 对象做成全局对象去跨线程访问。
    }
}

# cd 到 java binding 的根目录
cd binding/java/
mvn compile package

➜  java git:(v2.0_xdb) ✗ java -jar target/ip2region-2.6.0.jar search
java -jar ip2region-{version}.jar search [command options]
options:
 --db string              ip2region binary xdb file path
 --cache-policy string    cache policy: file/vectorIndex/content

➜  java git:(v2.0_xdb) ✗ java -jar target/ip2region-2.6.0.jar search --db=../../data/ip2region.xdb
ip2region xdb searcher test program, cachePolicy: vectorIndex
type 'quit' to exit
ip2region>> 1.2.3.4
{region: 美国|0|华盛顿|0|谷歌, ioCount: 7, took: 82 μs}
ip2region>>

➜  java git:(v2.0_xdb) ✗ java -jar target/ip2region-2.6.0.jar bench
java -jar ip2region-{version}.jar bench [command options]
options:
 --db string              ip2region binary xdb file path
 --src string             source ip text file path
 --cache-policy string    cache policy: file/vectorIndex/content

➜  java git:(v2.0_xdb) ✗ java -jar target/ip2region-2.6.0.jar bench --db=../../data/ip2region.xdb --src=../../data/ip.merge.txt
Bench finished, {cachePolicy: vectorIndex, total: 3417955, took: 8s, cost: 2 μs/op}