cdh6.3.2的hive配udf

背景

大数据平台的租户要使用udf，他们用beeline连接，
意味着要通过hs2，但如果有多个hs2，各个hs2之间不能共享，需要先把文件传到hdfs，然后手动在各hs2上create function。之后就可以永久使用了，重启hs2也可以

调研

先查的hive官网

https://cwiki.apache.org/confluence/display/Hive/LanguageManual+UDF#LanguageManualUDF-CreatingCustomUDFs

用beeline执行add jar 和create function，但发现只在当前的hs2生效

然后查cdh官网

cdh的官网上说配UDF，需要考虑是否重启hs2，是否启用sentry，列出了3种方案。
https://docs.cloudera.com/documentation/enterprise/latest/topics/cm_mc_hive_udf.html

Direct JAR reference configuration
Straight-forward, but recommended for development only. Does not support Sentry.
试了下，是永久的，重启仍然生效，但只对当前的hs2有效，如果有多个hs2，需要在每个hs2上都执行create function命令
虽然我们开了sentry，但没影响，sentry仍然有效

pom

<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>4.0.0modelVersion>

    <groupId>org.examplegroupId>
    <artifactId>sm3UDFartifactId>
    <version>1.0version>
    <packaging>jarpackaging>

    <name>sm3UDFname>
    <url>http://maven.apache.orgurl>

    <properties>
        <project.build.sourceEncoding>UTF-8project.build.sourceEncoding>
    properties>

    <dependencies>
        <dependency>
            <groupId>org.bouncycastlegroupId>
            <artifactId>bcprov-jdk15onartifactId>
            <version>1.68version>
        dependency>
        <dependency>
            <groupId>org.apache.hadoopgroupId>
            <artifactId>hadoop-commonartifactId>
            <version>3.1.1version>
        dependency>






        <dependency>
            <groupId>org.apache.hivegroupId>
            <artifactId>hive-execartifactId>
            <version>2.1.1-cdh6.3.2version>
        dependency>

    dependencies>

    <build>
    <plugins>
    <plugin>
        <groupId>org.apache.maven.pluginsgroupId>
        <artifactId>maven-compiler-pluginartifactId>
        <version>3.1version>
        <configuration>
            <source>1.8source>
            <target>1.8target>
        configuration>
    plugin>
    plugins>
    build>
project>

java

package org.picc.encrypt;

import org.apache.commons.codec.binary.Hex;
import org.apache.hadoop.io.Text;
import org.bouncycastle.crypto.digests.SM3Digest;
import org.apache.hadoop.hive.ql.exec.UDF;

public class Sm3Fun extends UDF{

	 public static String sm3(String saltBefore, String text, String saltAfter) {

        if (text == null) {
            return null;
        }

        Text result = new Text();
        SM3Digest digest = new SM3Digest();

        Text sb = new Text(saltBefore);
        Text value = new Text(text);
        Text sa = new Text(saltAfter);

        byte[] hashData = new byte[32];

        digest.reset();

        digest.update(sb.getBytes(), 0, sb.getLength());
        digest.update(value.getBytes(), 0, value.getLength());
        digest.update(sa.getBytes(), 0, sa.getLength());
        digest.doFinal(hashData, 0);
        String sm3Hex = Hex.encodeHexString(hashData);

        result.set(sm3Hex);
        return result.toString();
    }

    public String evaluate(String text) {

        if (text == null) {
            return null;
        }

        Text result = new Text();
        SM3Digest digest = new SM3Digest();

        Text value = new Text(text);


        byte[] hashData = new byte[32];

        digest.reset();

        digest.update(value.getBytes(), 0, value.getLength());
        digest.doFinal(hashData, 0);
        String sm3Hex = Hex.encodeHexString(hashData);

        result.set(sm3Hex);
        return result.toString();
    }
}