感谢各位webank大佬的指导！希望社区发展更快更好！
1、系统环境：
redhat7、cdh5.15.1、spark2.3.0、开启了sentry、没有开启kerberos
2、获取源码
在linkis的github上有一个linkis-cdh5.6的分支
https://github.com/WeBankFinTech/Linkis/release
点击进入这位大佬wForget的github，https://github.com/wForget/Linkis，下载源码（怀疑这位大佬改过源码，所以为了方便，直接下载这位大佬的，我的是cdh5.15）
3、修改元数据板块（我的cdh集群采用了sentry做hive权限控制，源码采用的是hive自带的权限控制（只通过jdbc），不修改无法展示hive元数据）
3、主要修改读取元数据的部分（如果你用sentry控制hive权限，可以拷贝覆盖）
xml version="1.0" encoding="UTF-8" ?>
DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="com.webank.wedatasphere.linkis.metadata.hive.dao.HiveMetaDao">
<select id="getLocationByDbAndTable" resultType="java.lang.String" parameterType="map">
select LOCATION from SDS where SD_ID in (
select SD_ID from `TBLS`
where TBL_NAME = #{tableName,jdbcType=VARCHAR}
and DB_ID in (select DB_ID from `DBS` where NAME = #{dbName,jdbcType=VARCHAR})
)
select>
<select id="getDbsByUser" resultType="java.lang.String" parameterType="java.lang.String">
select name from DBS
select>
<select id="getTablesByDbNameAndUser" resultType="map" parameterType="map">
select t2.TBL_NAME as NAME, t2.TBL_TYPE as TYPE, t2.CREATE_TIME as CREATE_TIME, t2.LAST_ACCESS_TIME as LAST_ACCESS_TIME, t2.OWNER as OWNER
from TBLS t2 , DBS t3
where
t2.DB_ID=t3.DB_ID
and t3.NAME = #{dbName,jdbcType=VARCHAR}
select>
<select id="getPartitionSize" resultType="java.lang.Long" parameterType="map">
select PARAM_VALUE from PARTITION_PARAMS
where PARAM_KEY = 'totalSize'
and PART_ID in (
select PART_ID from PARTITIONS
where PART_NAME = #{partitionName,jdbcType=VARCHAR}
and TBL_ID in(
select TBL_ID from `TBLS`
where TBL_NAME = #{tableName,jdbcType=VARCHAR}
and DB_ID in (select DB_ID from `DBS` where NAME = #{dbName,jdbcType=VARCHAR})
)
);
select>
<select id="getPartitions" resultType="java.lang.String" parameterType="map">
select PART_NAME from PARTITIONS
where TBL_ID in(
select TBL_ID from `TBLS`
where TBL_NAME = #{tableName,jdbcType=VARCHAR}
and DB_ID in (select DB_ID from `DBS` where NAME = #{dbName,jdbcType=VARCHAR})
);
select>
<select id="getColumns" resultType="map" parameterType="map">
SELECT COMMENT, COLUMN_NAME, TYPE_NAME FROM COLUMNS_V2
where CD_ID in(
select CD_ID from SDS where SD_ID in (
select SD_ID from `TBLS`
where TBL_NAME = #{tableName,jdbcType=VARCHAR}
and DB_ID in (select DB_ID from `DBS` where NAME = #{dbName,jdbcType=VARCHAR})
)
) order by INTEGER_IDX asc;
select>
<select id="getPartitionKeys" resultType="map" parameterType="map">
select PKEY_COMMENT, PKEY_NAME, PKEY_TYPE from PARTITION_KEYS
where TBL_ID in(
select TBL_ID from `TBLS`
where TBL_NAME = #{tableName,jdbcType=VARCHAR}
and DB_ID in (select DB_ID from `DBS` where NAME = #{dbName,jdbcType=VARCHAR})
);
select>
<select id="getTableComment" resultType="String">
SELECT
tp.PARAM_VALUE
FROM
`DBS` d
LEFT JOIN `TBLS` t ON d.DB_ID = t.DB_ID
LEFT JOIN `TABLE_PARAMS` tp ON t.TBL_ID = tp.TBL_ID
WHERE
tp.PARAM_KEY = 'comment'
AND d.`NAME` = #{DbName}
AND t.TBL_NAME = #{tableName}
select>
mapper>
4、修改pom.xml
4.1修改版本部分（将hive和hadoop版本指向cdh5.15.1）
4.2修改netty版本（我的是spark2.3.0，如果不修改，会有兼容性问题，在执行spark引擎时报错）
5、配置多maven源，科 学 上网
首先保证编译主机可以访问外网，然后给maven配置多maven源,修改settings.xml里面
<profiles> <profile> <id>boundlessgeoid> <repositories> <repository> <id>boundlessgeoid> <url>https://repo.boundlessgeo.com/main/url> <releases> <enabled>trueenabled> releases> <snapshots> <enabled>trueenabled> <updatePolicy>alwaysupdatePolicy> snapshots> repository> repositories> profile> <profile> <id>aliyunid> <repositories> <repository> <id>aliyunid> <url>http://maven.aliyun.com/nexus/content/groups/public/url> <releases> <enabled>trueenabled> releases> <snapshots> <enabled>trueenabled> <updatePolicy>alwaysupdatePolicy> snapshots> repository> repositories> profile> <profile> <id>maven-centralid> <repositories> <repository> <id>maven-centralid> <url>http://central.maven.org/maven2/url> <releases> <enabled>trueenabled> releases> <snapshots> <enabled>trueenabled> <updatePolicy>alwaysupdatePolicy> snapshots> repository> repositories> profile> <profile> <id>clouderaid> <repositories> <repository> <id>clouderaid> <url>https://repository.cloudera.com/artifactory/cloudera-repos/url> <releases> <enabled>trueenabled> releases> <snapshots> <enabled>trueenabled> <updatePolicy>alwaysupdatePolicy> snapshots> repository> repositories> profile> profiles> <activeProfiles> <activeProfile>boundlessgeoactiveProfile> <activeProfile>aliyunactiveProfile> <activeProfile>maven-centralactiveProfile> <activeProfile>clouderaactiveProfile> activeProfiles>
6、编译，安装
mvn -clean install
mvn package
7、体验（hive sql 、spark sql都可以用，权限也能满足需求，scala也可以用，不过没有开启kerberos，不安全）
