jar包最小静态依赖实现
1、首先使用JarAnalyzer 开源工具rundotsummary.bat 命令对目标目录下的jar包分析生成hehe.grph文件
http://www.kirkk.com/main/zip/JarAnalyzer-1.2.zip
如使用hadoop1.1.2中wordcount的例子
digraph G {
commons_beanutils_1_7_0 -> commons_collections_3_2_1;
commons_beanutils_1_7_0 -> commons_logging_1_1_1;
commons_configuration_1_6 -> commons_lang_2_4;
commons_configuration_1_6 -> commons_logging_1_1_1;
commons_configuration_1_6 -> commons_beanutils_1_7_0;
commons_configuration_1_6 -> commons_collections_3_2_1;
commons_configuration_1_6 -> commons_digester_1_8;
commons_configuration_1_6 -> commons_codec_1_4;
commons_digester_1_8 -> commons_beanutils_1_7_0;
commons_digester_1_8 -> commons_logging_1_1_1;
commons_httpclient_3_0_1 -> commons_logging_1_1_1;
commons_httpclient_3_0_1 -> commons_codec_1_4;
commons_logging_1_1_1 -> log4j_1_2_15;
hadoop_core_1_1_2 -> jackson_core_asl_1_8_8;
hadoop_core_1_1_2 -> commons_logging_1_1_1;
hadoop_core_1_1_2 -> commons_io_2_1;
hadoop_core_1_1_2 -> commons_net_3_1;
hadoop_core_1_1_2 -> jetty_util_6_1_26;
hadoop_core_1_1_2 -> jetty_6_1_26;
hadoop_core_1_1_2 -> commons_daemon_1_0_1;
hadoop_core_1_1_2 -> jasper_runtime_5_5_12;
hadoop_core_1_1_2 -> commons_cli_1_2;
hadoop_core_1_1_2 -> commons_codec_1_4;
hadoop_core_1_1_2 -> log4j_1_2_15;
hadoop_core_1_1_2 -> jackson_mapper_asl_1_8_8;
hadoop_core_1_1_2 -> commons_httpclient_3_0_1;
hadoop_core_1_1_2 -> commons_lang_2_4;
hadoop_core_1_1_2 -> commons_configuration_1_6;
hadoop_core_1_1_2 -> commons_math_2_1;
hadoop_core_1_1_2 -> slf4j_api_1_4_3;
jackson_mapper_asl_1_8_8 -> jackson_core_asl_1_8_8;
jasper_runtime_5_5_12 -> commons_logging_1_1_1;
jasper_runtime_5_5_12 -> commons_el_1_0;
jetty_6_1_26 -> jetty_util_6_1_26;
jetty_util_6_1_26 -> slf4j_api_1_4_3;
slf4j_api_1_4_3 -> slf4j_log4j12_1_4_3;
slf4j_log4j12_1_4_3 -> slf4j_api_1_4_3;
slf4j_log4j12_1_4_3 -> log4j_1_2_15;
}
import java.io.BufferedReader;
import java.io.FileReader;
import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.LinkedHashSet;
import java.util.Map;
//基于JarAnalyzer生成的grph文件分析
public class GetMinJar {
private static HashMap<String, LinkedHashSet<String>> lines=new HashMap<>();
public static void main(String[] args) {
try {
//FileInputStream fileInputStream=new FileInputStream("hehe.grph");
String line="";
String rootData="hadoop_core_1_1_2";
String grphPath="hehe.grph";
if(args.length>1)
{
rootData=args[0];
grphPath=args[1];
}
if(args.length!=2)
{
System.out.println("useage:java -jar GetMinJar hadoop_core_1_1_2 hehe.grph ");
}
FileReader fileReader=new FileReader(grphPath);
BufferedReader bufferedReader=new BufferedReader(fileReader);
while((line=bufferedReader.readLine())!=null)
{
String[] datas=line.split("->|;");
if(datas.length>1)
{
String key=datas[0].trim();
LinkedHashSet<String> val=lines.get(key);
if(val!=null)
{
val.add(datas[1].trim());
}else{
LinkedHashSet<String> set=new LinkedHashSet<String>();
set.add(datas[1].trim());
lines.put(datas[0].trim(),set);
}
}
}
bufferedReader.close();
fileReader.close();
LinkedHashMap<String, String> results=new LinkedHashMap<>();
hehe(rootData,results);
System.out.println(rootData.replaceAll("_", "-")+".jar 依赖于"+results.size()+"个jar包===========");
for(Map.Entry<String, String> entry:results.entrySet() )
{
String key=entry.getKey();
key=key.replaceAll("_", "-");
//String value=entry.getValue();
System.out.println(key+".jar");
}
} catch (Exception e) {
e.printStackTrace();
}
}
private static void hehe(String data,LinkedHashMap<String, String> results) {
LinkedHashSet<String> val=lines.get(data);
if(val!=null)
{
for (String string : val) {
results.put(string,"");
//检测是否递归死循环
LinkedHashSet<String> tmp=lines.get(string);
if(tmp!=null)
{
if(tmp.contains(data))
{
continue;
}
}
hehe(string,results);
}
}
}
}
得出的只是静态依赖的最小jar包，动态加载的要程序运行之后才知道。用来去除无用的jar包，自己要小心的测试。
hadoop1.1.2的wordcount例子最小依赖Jar包为：
commons-beanutils-1.7.0.jar commons-cli-1.2.jar commons-codec-1.4.jar commons-collections-3.2.1.jar commons-configuration-1.6.jar commons-daemon-1.0.1.jar commons-digester-1.8.jar commons-el-1.0.jar commons-httpclient-3.0.1.jar commons-io-2.1.jar commons-lang-2.4.jar commons-logging-1.1.1.jar commons-math-2.1.jar commons-net-3.1.jar hadoop-core-1.1.2.jar jackson-core-asl-1.8.8.jar jackson-mapper-asl-1.8.8.jar jasper-runtime-5.5.12.jar jetty-6.1.26.jar jetty-util-6.1.26.jar log4j-1.2.15.jar slf4j-api-1.4.3.jar slf4j-log4j12-1.4.3.jar