hiveUDF-SM3加密验证
2021-11-26 本文已影响0人
堂哥000
近期有业务需要用到SM3加密方法，HIVE没有自带的SM3加密算法，故此建立此UDF函数
import org.bouncycastle.crypto.digests.SM3Digest;
import org.bouncycastle.crypto.macs.HMac;
import org.bouncycastle.crypto.params.KeyParameter;
import org.bouncycastle.jce.provider.BouncyCastleProvider;
import org.bouncycastle.pqc.math.linearalgebra.ByteUtils;
import java.io.UnsupportedEncodingException;
import java.security.Security;
import org.apache.hadoop.hive.ql.exec.UDF;
/**
* sm3加密算法工具类
* 加密与加密结果验证（不可逆算法）
*/
public class Sm3Utils extends UDF {
private static final String ENCODING = "UTF-8";
static {
Security.addProvider(new BouncyCastleProvider());
}
/**
* sm3算法加密
* @explain
* @param paramStr
* 待加密字符串
* @return 返回加密后，固定长度=32的16进制字符串
*/
public String evaluate(String paramStr) {
// 将返回的hash值转换成16进制字符串
String resultHexString = null;
// 将字符串转换成byte数组
byte[] srcData = new byte[0];
try {
srcData = paramStr.getBytes(ENCODING);
} catch (UnsupportedEncodingException e) {
e.printStackTrace();
}
// 调用hash()
byte[] resultHash = hash(srcData);
// 将返回的hash值转换成16进制字符串
resultHexString = ByteUtils.toHexString(resultHash);
//resultHexString = ToHexString.bytesToHexString(resultHash);
return resultHexString;
}
/**
* 返回长度=32的byte数组
* @explain 生成对应的hash值
* @param srcData
* @return
*/
public static byte[] hash(byte[] srcData) {
SM3Digest digest = new SM3Digest();
digest.update(srcData, 0, srcData.length);
byte[] hash = new byte[digest.getDigestSize()];
digest.doFinal(hash, 0);
return hash;
}
/**
* 通过密钥进行加密
* @explain 指定密钥进行加密
* @param key
* 密钥
* @param srcData
* 被加密的byte数组
* @return
*/
public static byte[] hmac(byte[] key, byte[] srcData) {
KeyParameter keyParameter = new KeyParameter(key);
SM3Digest digest = new SM3Digest();
HMac mac = new HMac(digest);
mac.init(keyParameter);
mac.update(srcData, 0, srcData.length);
byte[] result = new byte[mac.getMacSize()];
mac.doFinal(result, 0);
return result;
}
}
使用到的pom.xml文件
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>org.example</groupId>
<artifactId>sm3_dz</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<maven.compiler.source>8</maven.compiler.source>
<maven.compiler.target>8</maven.compiler.target>
<hadoop.version>2.6.0-cdh5.7.0</hadoop.version>
<hive.version>1.1.0-cdh5.15.2</hive.version>
<spark.version>2.4.0</spark.version>
<spark.version>2.13.6</spark.version>
</properties>
<dependencies>
<!--sm3,sm4加密算法-->
<dependency>
<groupId>org.bouncycastle</groupId>
<artifactId>bcprov-jdk15on</artifactId>
<version>1.64</version>
</dependency>
<dependency>
<groupId>commons-codec</groupId>
<artifactId>commons-codec</artifactId>
<version>1.14</version>
</dependency>
<dependency>
<groupId>commons-logging</groupId>
<artifactId>commons-logging</artifactId>
<version>1.2</version>
</dependency>
<dependency>
<groupId>commons-collections</groupId>
<artifactId>commons-collections</artifactId>
<version>3.2.2</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>${hive.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>${hadoop.version}</version>
</dependency>
<dependency>
<groupId>org.pentaho</groupId>
<artifactId>pentaho-aggdesigner-algorithm</artifactId>
<version>5.1.5-jhyde</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.calcite.avatica</groupId>
<artifactId>avatica</artifactId>
<version>1.8.0</version>
</dependency>
<dependency>
<groupId>commons-codec</groupId>
<artifactId>commons-codec</artifactId>
<version>1.4</version>
</dependency>
<dependency>
<groupId>xalan</groupId>
<artifactId>xalan</artifactId>
<version>2.6.0</version>
</dependency>
</dependencies>
<repositories>
<repository>
<id>spring-plugin</id>
<url>https://repo.spring.io/plugins-release/</url>
</repository>
<repository>
<id>cloudera</id>
<url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
</repository>
</repositories>
<build>
<finalName>${project.artifactId}-${project.version}</finalName>
<plugins>
<plugin>
<artifactId>maven-assembly-plugin</artifactId>
<configuration>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
<appendAssemblyId>false</appendAssemblyId>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.scala-tools</groupId>
<artifactId>maven-scala-plugin</artifactId>
<version>2.15.2</version>
<executions>
<execution>
<goals>
<goal>compile</goal>
<goal>testCompile</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>
在beeline内注册该函数
CREATE FUNCTION udf.sm3 as 'com.udf.SM3' using jar 'hdfs:///user/udf/sm3-1.0-SNAPSHOT.jar' ;
测试用例
select udf.sm3('大爷')
测试结果
image.png
