一、环境准备
1)虚拟机准备
准备一台虚拟机,并安装Centos7系统(带桌面)
2)安装JDK
(1)卸载现有JDK
sudo rpm -qa | grep -i java | xargs -n1 sudo rpm -e --nodeps
(2)将JDK上传到虚拟机的/opt/software 文件夹下面
(3)解压JDK到/opt/module 目录下
tar -zxvf jdk-8u212-linux-x64.tar.gz -C /opt/module/
(4)配置JDK环境变量
1、新建/etc/profile.d/my_env.sh
sudo vim /etc/profile.d/my_env.sh
添加如下内容,然后保存(:wq)退出
#JAVA_HOME
export JAVA_HOME=/opt/module/jdk1.8.0_212
export PATH=$PATH:$JAVA_HOME/bin
2、让环境变量生效
source /etc/profile.d/my_env.sh
(5)测试JDK是否安装成功
java -version
3)安装Maven
(1)将maven安装包上传到虚拟机/opt/software 目录
(2)解压Maven到/opt/module 目录下
tar -zxvf apache-maven-3.6.3-bin.tar.gz -C /opt/module/
(3)配置Maven环境变量
1、编辑/etc/profile.d/my_env.sh文件
sudo vim /etc/profile.d/my_env.sh
追加以下内容
# MAVEN_HOME
export MAVEN_HOME=/opt/module/apache-maven-3.6.3
export PATH=$PATH:$MAVEN_HOME/bin
2、让环境变量生效
source /etc/profile.d/my_env.sh
(4)检测Maven是否安装成功
mvn -version
(5)配置仓库镜像
1、修改Maven配置文件
/opt/module/apache-maven-3.6.3/conf/settings.xml
2、在节点中添加以下内容
<mirror>
<id>alimaven</id>
<name>aliyun maven</name>
<url>http://maven.aliyun.com/nexus/content/groups/public/</url>
<mirrorOf>central</mirrorOf>
</mirror>
<mirror>
<id>aliyunmaven</id>
<mirrorOf>*</mirrorOf>
<name>spring-plugin</name>
<url>https://maven.aliyun.com/repository/spring-plugin</url>
</mirror>
<mirror>
<id>aliyunmaven</id>
<mirrorOf>*</mirrorOf>
<name>阿里云公共仓库</name>
<url>https://maven.aliyun.com/repository/public</url>
</mirror>
<mirror>
<id>nexus-aliyun</id>
<mirrorOf>*,!cloudera</mirrorOf>
<name>Nexus aliyun</name>
<url>http://maven.aliyun.com/nexus/content/groups/public</url>
</mirror>
4)安装Git
(1)安装第三方仓库
sudo yum install https://repo.ius.io/ius-release-el7.rpm
(2)安装git
sudo yum install -y git236
5)安装IDEA
(1)将IDEA安装包上传到虚拟机/opt/software 目录
(2)解压IDEA到/opt/module目录下
tar -zxvf ideaIU-2021.1.3.tar.gz -C /opt/module/
(3)启动IDEA(图像化界面启动)
nohup /opt/module/idea-IU-211.7628.21/bin/idea.sh 1>/dev/null 2>&1 &
(4)配置Maven
![](https://huangbo.cc/wp-content/uploads/2023/10/1696846200-hive-10-01.png)
![](https://huangbo.cc/wp-content/uploads/2023/10/1696846218-hive-10-02.png)
二、修改并编译Hive源码
1)在IDEA中新建项目拉取Hive源码
Hive 源码的远程仓库地址:
https://github.com/apache/hive.git
国内镜像地址:
https://gitee.com/apache/hive.git
2)测试编译环境
在修改依赖和代码之前,先测试一下打包是否能成功,用来检测环境是否正常。
(1)打开终端
![](https://huangbo.cc/wp-content/uploads/2023/10/1696846244-hive-10-03.png)
(2)输入打包命令
mvn clean package -Pdist -DskipTests -Dmaven.javadoc.skip=true
注:打包命令参考官网
https://cwiki.apache.org/confluence/display/Hive/GettingStarted#GettingStartedCompileHiveonmaster
打包成功的标志如下:
![](https://huangbo.cc/wp-content/uploads/2023/10/1696846285-hive-10-04.png)
3)修改项目pom.xml
1、修改Hadoop版本
Hive3.1.3支持的Hadoop版本是3.1.10,但是Hive与Hadoop之间记得有个范围支持,故与Hadoop相关的操作看需求是否更改
<hadoop.version>3.1.0</hadoop.version>
# 变更为
<hadoop.version>3.1.3</hadoop.version>
清楚的记得Hadoop3.1.3使用日志版本是1.7.25
<slf4j.version>1.7.10</slf4j.version>
# 变更为
<slf4j.version>1.7.25</slf4j.version>
2、修改guava版本
由于Hive运行时会加载Hadoop依赖,因此需要修改Hive中guava版本为Hadoop中的guava版本。这里即使不更改,实则在使用Hive时也可能会进行更换guava版本操作(版本差异不大可以不用更换)
<guava.version>19.0</guava.version>
# 变更为
<guava.version>27.0-jre</guava.version>
3、修改spark版本
<spark.version>2.3.0</spark.version>
<scala.binary.version>2.11</scala.binary.version>
<scala.version>2.11.8</scala.version>
# 变更为
<spark.version>3.3.3</spark.version>
<scala.binary.version>2.12</scala.binary.version>
<scala.version>2.12.17</scala.version>
4)修改hive源码
修改hive源码这个操作是核心操作,具体修改哪些源代码,参考:https://github.com/gitlbo/hive/commits/3.1.2
![](https://huangbo.cc/wp-content/uploads/2023/10/1696846370-hive-10-05-1024x875.png)
(1)修改standalone-metastore模块
具体修改参考:https://github.com/gitlbo/hive/commit/c073e71ef43699b7aa68cad7c69a2e8f487089fd
创建ColumnsStatsUtils类
![](https://huangbo.cc/wp-content/uploads/2023/10/1696846392-hive-10-06-1024x526.png)
代码如下:
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.hadoop.hive.metastore.columnstats;
import org.apache.hadoop.hive.metastore.api.ColumnStatisticsObj;
import org.apache.hadoop.hive.metastore.columnstats.cache.DateColumnStatsDataInspector;
import org.apache.hadoop.hive.metastore.columnstats.cache.DecimalColumnStatsDataInspector;
import org.apache.hadoop.hive.metastore.columnstats.cache.DoubleColumnStatsDataInspector;
import org.apache.hadoop.hive.metastore.columnstats.cache.LongColumnStatsDataInspector;
import org.apache.hadoop.hive.metastore.columnstats.cache.StringColumnStatsDataInspector;
/**
* Utils class for columnstats package.
*/
public final class ColumnsStatsUtils {
private ColumnsStatsUtils(){}
/**
* Convertes to DateColumnStatsDataInspector if it's a DateColumnStatsData.
* @param cso ColumnStatisticsObj
* @return DateColumnStatsDataInspector
*/
public static DateColumnStatsDataInspector dateInspectorFromStats(ColumnStatisticsObj cso) {
DateColumnStatsDataInspector dateColumnStats;
if (cso.getStatsData().getDateStats() instanceof DateColumnStatsDataInspector) {
dateColumnStats =
(DateColumnStatsDataInspector)(cso.getStatsData().getDateStats());
} else {
dateColumnStats = new DateColumnStatsDataInspector(cso.getStatsData().getDateStats());
}
return dateColumnStats;
}
/**
* Convertes to StringColumnStatsDataInspector
* if it's a StringColumnStatsData.
* @param cso ColumnStatisticsObj
* @return StringColumnStatsDataInspector
*/
public static StringColumnStatsDataInspector stringInspectorFromStats(ColumnStatisticsObj cso) {
StringColumnStatsDataInspector columnStats;
if (cso.getStatsData().getStringStats() instanceof StringColumnStatsDataInspector) {
columnStats =
(StringColumnStatsDataInspector)(cso.getStatsData().getStringStats());
} else {
columnStats = new StringColumnStatsDataInspector(cso.getStatsData().getStringStats());
}
return columnStats;
}
/**
* Convertes to LongColumnStatsDataInspector if it's a LongColumnStatsData.
* @param cso ColumnStatisticsObj
* @return LongColumnStatsDataInspector
*/
public static LongColumnStatsDataInspector longInspectorFromStats(ColumnStatisticsObj cso) {
LongColumnStatsDataInspector columnStats;
if (cso.getStatsData().getLongStats() instanceof LongColumnStatsDataInspector) {
columnStats =
(LongColumnStatsDataInspector)(cso.getStatsData().getLongStats());
} else {
columnStats = new LongColumnStatsDataInspector(cso.getStatsData().getLongStats());
}
return columnStats;
}
/**
* Convertes to DoubleColumnStatsDataInspector
* if it's a DoubleColumnStatsData.
* @param cso ColumnStatisticsObj
* @return DoubleColumnStatsDataInspector
*/
public static DoubleColumnStatsDataInspector doubleInspectorFromStats(ColumnStatisticsObj cso) {
DoubleColumnStatsDataInspector columnStats;
if (cso.getStatsData().getDoubleStats() instanceof DoubleColumnStatsDataInspector) {
columnStats =
(DoubleColumnStatsDataInspector)(cso.getStatsData().getDoubleStats());
} else {
columnStats = new DoubleColumnStatsDataInspector(cso.getStatsData().getDoubleStats());
}
return columnStats;
}
/**
* Convertes to DecimalColumnStatsDataInspector
* if it's a DecimalColumnStatsData.
* @param cso ColumnStatisticsObj
* @return DecimalColumnStatsDataInspector
*/
public static DecimalColumnStatsDataInspector decimalInspectorFromStats(ColumnStatisticsObj cso) {
DecimalColumnStatsDataInspector columnStats;
if (cso.getStatsData().getDecimalStats() instanceof DecimalColumnStatsDataInspector) {
columnStats =
(DecimalColumnStatsDataInspector)(cso.getStatsData().getDecimalStats());
} else {
columnStats = new DecimalColumnStatsDataInspector(cso.getStatsData().getDecimalStats());
}
return columnStats;
}
}
接着修改以下内容,具体修改参考以下截图说明
![](https://huangbo.cc/wp-content/uploads/2023/10/1696846432-hive-10-07-1019x1024.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/aggr/DateColumnStatsAggregator.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696846758-hive-10-08-1024x672.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/aggr/DecimalColumnStatsAggregator.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696846950-hive-10-09-1024x648.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/aggr/DoubleColumnStatsAggregator.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696846973-hive-10-10-1024x643.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/aggr/LongColumnStatsAggregator.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847004-hive-10-11-1024x593.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/aggr/StringColumnStatsAggregator.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847032-hive-10-12-1024x644.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/cache/DateColumnStatsDataInspector.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847055-hive-10-13-1024x239.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/cache/DecimalColumnStatsDataInspector.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847081-hive-10-14-1024x225.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/cache/DoubleColumnStatsDataInspector.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847109-hive-10-15-1024x242.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/cache/LongColumnStatsDataInspector.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847147-hive-10-16-1024x267.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/cache/StringColumnStatsDataInspector.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847175-hive-10-17-1024x300.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/merge/DateColumnStatsMerger.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847201-hive-10-18-1024x347.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/merge/DecimalColumnStatsMerger.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847228-hive-10-19-1024x360.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/merge/DoubleColumnStatsMerger.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847292-hive-10-20-1024x346.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/merge/LongColumnStatsMerger.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847321-hive-10-21-1024x286.png)
standalone-metastore/src/main/java/org/apache/hadoop/hive/metastore/columnstats/merge/StringColumnStatsMerger.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847354-hive-10-22-1024x280.png)
(2)修改ql模块
ql/src/test/org/apache/hadoop/hive/ql/stats/TestStatsUtils.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847379-hive-10-23-1024x168.png)
ql/src/test/org/apache/hadoop/hive/ql/exec/tez/SampleTezSessionState.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847420-hive-10-24-1024x411.png)
ql/src/java/org/apache/hadoop/hive/ql/exec/tez/WorkloadManager.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847454-hive-10-25-1024x440.png)
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847471-hive-10-26-1024x479.png)
(3)修改spark-client模块
spark-client/src/main/java/org/apache/hive/spark/client/metrics/ShuffleWriteMetrics.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847492-hive-10-27-1024x211.png)
spark-client/src/main/java/org/apache/hive/spark/counter/SparkCounter.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847514-hive-10-28-1024x556.png)
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847531-hive-10-29-1024x317.png)
(4)修改druid-handler模块
druid-handler/src/java/org/apache/hadoop/hive/druid/serde/DruidScanQueryRecordReader.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847552-hive-10-30-1024x343.png)
(5)修改llap-server模块
llap-server/src/java/org/apache/hadoop/hive/llap/daemon/impl/AMReporter.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847575-hive-10-31-1024x446.png)
llap-server/src/java/org/apache/hadoop/hive/llap/daemon/impl/LlapTaskReporter.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847600-hive-10-32-1024x169.png)
llap-server/src/java/org/apache/hadoop/hive/llap/daemon/impl/TaskExecutorService.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847629-hive-10-33-1024x189.png)
(6)修改llap-tez模块
llap-tez/src/java/org/apache/hadoop/hive/llap/tezplugins/LlapTaskSchedulerService.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847651-hive-10-34-1024x293.png)
(7)修改llap-common模块
llap-common/src/java/org/apache/hadoop/hive/llap/AsyncPbRpcProxy.java
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847733-hive-10-35-1024x392.png)
三、编译打包
对Hive源码修改完成后,执行编译打包命令:
mvn clean package -Pdist -DskipTests -Dmaven.javadoc.skip=true
mvn clean package -Pdist -DskipTests
在执行编译打包命令过程中,肯定会有各种问题的,这些问题是需要解决的,期间遇到的各种异常请参考下方异常集合对比解决。
编译后的文件存储路径
![](https://huangbo.cc/wp-content/uploads/2023/10/1696847776-hive-10-36.png)
注意点:
1、有时本地仓库中的缓存可能会引起依赖项解析错误。可以尝试清理该项目依赖的本地仓库中的maven包,这个命令会清理pom.xml中的包,并重新下载,执行以下命令:
mvn dependency:purge-local-repository
2、修改Pom.xml文件版本号,或更改代码、安装Jar到本地仓库后,建议关闭IDEA重新打开进入,防止缓存、或者更新不及时
四、异常集合
异常1
1、maven会提示无法找到、无法下载某个Jar包、或者下载Jar耗时长(即使开启魔法也是)
例如:maven仓库找不到hive-upgrade-acid-3.1.3.jar与pentaho-aggdesigner-algorithm-5.1.5-jhyde_2.jar
具体异常如下,仅供参考:
[ERROR] Failed to execute goal on project hive-upgrade-acid: Could not resolve dependencies for project org.apache.hive:hive-upgrade-acid:jar:3.1.3: Failure to find org.pentaho:pentaho-aggdesigner-algorithm:jar:5.1.5-jhyde in https://maven.aliyun.com/repository/central was cached in the local repository, resolution will not be reattempted until the update interval of aliyun-central has elapsed or updates are forced -> [Help 1]
解决方案:
到以下仓库搜索需要的Jar包,手动下载,并安装到本地仓库
仓库地址1:https://mvnrepository.com/
仓库地址2:https://central.sonatype.com/
仓库地址3:https://developer.aliyun.com/mvn/search
可以将仓库地址添加到maven的mirrors
或者将一个JAR安装到本地仓库,示例命令的语法:
mvn install:install-file -Dfile=<path-to-jar> -DgroupId=<group-id> -DartifactId=<artifact-id> -Dversion=<version> -Dpackaging=<packaging>
<path-to-jar>:JAR文件的路径,可以是本地文件系统的绝对路径。
<group-id>:项目组ID,通常采用反向域名格式,例如com.example。
<artifact-id>:项目的唯一标识符,通常是项目名称。
<version>:项目的版本号。
<packaging>:JAR文件的打包类型,例如jar。
mvn install:install-file -Dfile=./hive-upgrade-acid-3.1.3.jar -DgroupId=org.apache.hive -DartifactId=hive-upgrade-acid -Dversion=3.1.3 -Dpackaging=jar
mvn install:install-file -Dfile=./pentaho-aggdesigner-algorithm-5.1.5-jhyde.jar -DgroupId=org.pentaho -DartifactId=pentaho-aggdesigner-algorithm -Dversion=5.1.5-jhyde -Dpackaging=jar
mvn install:install-file -Dfile=./hive-metastore-2.3.3.jar -DgroupId=org.apache.hive -DartifactId=hive-metastore -Dversion=2.3.3 -Dpackaging=jar
mvn install:install-file -Dfile=./hive-exec-3.1.3.jar -DgroupId=org.apache.hive -DartifactId=hive-exec -Dversion=3.1.3 -Dpackaging=jar
异常2
如果是windows系统编译会提示bash相关command问题
解决方案:
使用gitbash,即在git的bash窗口执行编译打包命令
异常3
当前进度在Hive Llap Server失败
[ERROR] Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.6.1:compile (default-compile) on project hive-llap-server: Compilation failure
[ERROR] /C:/Users/JackChen/Desktop/apache-hive-3.1.3-src/llap-server/src/java/org/apache/hadoop/hive/llap/daemon/impl/QueryTracker.java:[30,32]
[ERROR]
[ERROR] -> [Help 1]
[ERROR]
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR]
[ERROR] For more information about the errors and possible solutions, please read the following articles:
[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoFailureException
[ERROR]
[ERROR] After correcting the problems, you can resume the build with the command
[ERROR] mvn <args> -rf :hive-llap-server
解决方案:
public class QueryTracker extends AbstractService {
// private static final Marker QUERY_COMPLETE_MARKER = new Log4jMarker(new Log4jQueryCompleteMarker());
private static final Marker QUERY_COMPLETE_MARKER = MarkerFactory.getMarker("MY_CUSTOM_MARKER");
}
异常4
编译执行到Hive HCatalog Webhcat模块失败
[ERROR] Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.6.1:compile (default-compile) on project hive-webhcat: Compilation failure
[ERROR] /root/apache-hive-3.1.3-src/hcatalog/webhcat/svr/src/main/java/org/apache/hive/hcatalog/templeton/Main.java:[258,31] 对于FilterHolder(java.lang.Class<org.apache.hadoop.hdfs.web.AuthFilter>), 找不到合适的构造器
[ERROR] 构造器 org.eclipse.jetty.servlet.FilterHolder.FilterHolder(org.eclipse.jetty.servlet.BaseHolder.Source)不适用
[ERROR] (参数不匹配; java.lang.Class<org.apache.hadoop.hdfs.web.AuthFilter>无法转换为org.eclipse.jetty.servlet.BaseHolder.Source)
[ERROR] 构造器 org.eclipse.jetty.servlet.FilterHolder.FilterHolder(java.lang.Class<? extends javax.servlet.Filter>)不适用
[ERROR] (参数不匹配; java.lang.Class<org.apache.hadoop.hdfs.web.AuthFilter>无法转换为java.lang.Class<? extends javax.servlet.Filter>)
[ERROR] 构造器 org.eclipse.jetty.servlet.FilterHolder.FilterHolder(javax.servlet.Filter)不适用
[ERROR] (参数不匹配; java.lang.Class<org.apache.hadoop.hdfs.web.AuthFilter>无法转换为javax.servlet.Filter)
[ERROR]
[ERROR] -> [Help 1]
[ERROR]
[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
[ERROR] Re-run Maven using the -X switch to enable full debug logging.
[ERROR]
[ERROR] For more information about the errors and possible solutions, please read the following articles:
[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoFailureException
[ERROR]
[ERROR] After correcting the problems, you can resume the build with the command
[ERROR] mvn <args> -rf :hive-webhcat
看源码发现AuthFilter是继承AuthenticationFilter,AuthenticationFilter又实现Filter,应该不会出现此异常信息才对,于是手动修改源码进行强制转换试试,发现任然不行。
public FilterHolder makeAuthFilter() throws IOException {
FilterHolder authFilter = new FilterHolder(AuthFilter.class);
UserNameHandler.allowAnonymous(authFilter);
解决方案:
在IDEA中单独编译打包此模块,发现是能构建成功的
于是乎产生了一个想法:
1.因为项目使用Maven进行打包(执行mvn package),再次执行相同的命令将不会重新打包项目
2.所以先针对项目执行clean命令,然后对该Webhcat模块打包,最后在整体编译打包时,不执行clean操作,直接运行 mvn package -Pdist -DskipTests。
异常5
编译提示Failure to find org.apache.directory.client.ldap:ldap-client-api:pom:0.1-SNAPSHOT
在apacheds-server-integ 里排除掉此依赖。
<dependency>
<groupId>org.apache.directory.server</groupId>
<artifactId>apacheds-server-integ</artifactId>
<version>${apache-directory-server.version}</version>
<scope>test</scope>
<exclusions>
<exclusion>
<groupId>org.apache.directory.client.ldap</groupId>
<artifactId>ldap-client-api</artifactId>
</exclusion>
</exclusions>
</dependency>
参考文章:
https://juejin.cn/post/7265967979338416185
https://blog.csdn.net/weixin_38906364/article/details/128687090
https://blog.csdn.net/qq_39035267/article/details/126608808
https://blog.csdn.net/weixin_52918377/article/details/117123969