ambari2.8+ambari-metrics3.0+bigtop3.2编译、打包、安装

• bigtop编译
  • 资源说明：
    • 软件及代码镜像
    • 开发包镜像
    • github访问
  • 编译相关知识
    • 技术知识
    • bigtop编译流程及经验总结
    • 各模块编译难度及大概耗时（纯编译耗时，不包含下载文件和排错时间）
• [centos 真机编译branch-3.2](#centos 真机编译branch-3.2)
  • 硬件说明：
  • 编译步骤
    • 下载代码并切换分支
    • 国内镜像配置
    • 基础环境准备
      • 依赖环境安装(yum)
      • 依赖环境配置
      • 国内镜像配置|软件全局配置
    • 修改部分组件源代码
      • 下载组件源码
      • 修改代码
        • 修改hadoop代码
        • 修改flink代码
        • 修改tez代码
        • 修改zeppelin代码
        • 修改spark源码
      • 重新打包组件源码
    • 整体编译[不建议]
      • 整体编译命令（在bigtop根目录执行）
    • 逐步逐组件编译
      • 先编译一些周边依赖组件：
      • zookeeper(子项目21个)
      • hadoop（子项目111个）
      • hbase
      • hive
      • phoenix
      • tez
      • spark(子项目29个)
      • kafka
      • flink(子项目207个)
      • solr
      • zeppelin
    • 编译后磁盘占用
  • [branch-3.2 各组件编译耗时[纯编译时间，不含下载相关包时间]](#branch-3.2 各组件编译耗时[纯编译时间，不含下载相关包时间])
    • hbase
    • Phoenix
    • tez
    • spark
    • flink
• [docker-centos 编译](#docker-centos 编译)
• [bigtop 源码分析](#bigtop 源码分析)
  • packages.gradle

bigtop编译

资源说明：

软件及代码镜像

• apache 代码及软件发布版本资源下载
  • 历史包(几乎所有版本)：https://archive.apache.org/dist/
  • 历史包（最近版本）：https://apache.osuosl.org/
  • 国内历史包(几乎所有版本)：https://repo.huaweicloud.com/apache/
  • 国内历史包（最近版本）：https://mirrors.aliyun.com/apache/
  • 腾讯云：https://mirrors.cloud.tencent.com/
  • 清华大学镜像站： https://mirrors.tuna.tsinghua.edu.cn/
• 开发语言及相关软件安装包国内镜像
  • gradle
    • https://mirrors.aliyun.com/macports/distfiles/ -> https://mirrors.aliyun.com/macports/distfiles/gradle/
    • https://mirrors.cloud.tencent.com/gradle/ -> https://mirrors.cloud.tencent.com/gradle/
  • nodejs：
    • https://nodejs.org/dist/
    • https://mirrors.tuna.tsinghua.edu.cn/nodejs-release/
    • https://mirrors.cloud.tencent.com/nodejs-release/
    • https://mirrors.aliyun.com/nodejs-release/
  • npm
    • 官方：https://registry.npmjs.org/npm/-/npm-6.9.0.tgz
    • 阿里云：https://mirrors.aliyun.com/macports/distfiles/

开发包镜像

jar包[maven镜像]：

• node包[npm、yarn镜像]
  • 国内镜像：https://registry.npmmirror.com
  • 使用：
    • npm config set registry https://registry.npmmirror.com
    • yarn config set registry https://registry.npmmirror.com
    • bower config set registry https://registry.npmmirror.com
• bower：
  • 用途：1）可以直接从npm镜像下载包并进行安装 2) 可以git clone github发布分支，进行安装
  • 了解参考：https://www.oschina.net/p/bower?hmsr=aladdin1e1
  • 国外地址：https://bower.herokuapp.com
  • 国内可访问镜像地址：https://registry.bower.io
  • bower内置命令：
    • 查看git分支： git ls-remote --tags --heads https://github.com/components/ember.git

github访问

修改hosts文件，以便访问github:https://www.ip138.com/ 通过查询域名，找到对应ip，将域名和ip填写到hosts

140.82.112.4 github.com
199.232.69.194 github.global.ssl.fastly.net
185.199.108.133 raw.githubusercontent.com
185.199.109.133 raw.githubusercontent.com
185.199.110.133 raw.githubusercontent.com
185.199.111.133 raw.githubusercontent.com

编译相关知识

技术知识

• maven命令参数须知 ：
  • 各种不同的跳过
    • -Drat.skip=true :RAT 插件用于检查源代码中的许可证问题，确保所有的文件都有适当的许可证声明；此参数跳过许可检查
    • -Dmaven.test.skip=true ： 跳过测试编译和测试执行阶段。即它不仅会跳过测试的执行，还会跳过测试代码的编译。
    • -DskipTests：Maven 跳过测试的执行，但会编译测试代码。
    • 有的组件（如flink大部分子项目）需要编译测试代码，有的编译不需要编译测试代码（io.confluent相关）。
  • maven日志打印时间:-Dorg.slf4j.simpleLogger.showDateTime=true -Dorg.slf4j.simpleLogger.dateTimeFormat="yyyy-MM-dd HH:mm:ss.SSS
  • mavrn编译失败，处理完失败原因（如网络不通）,继续从上次失败的模块编译。mvn <args> -rf: xxxx，起哄xxx为上次失败的模块名称

bigtop编译流程及经验总结

• 目录说明
  • bigtop.bom: 定义了各个组件的版本
  • package.gradle: 定义了gradle编译组件的整体流程
  • 组件配置目录（简称packages）：bigtop\bigtop-packages \src\common\XXX\，其中xxx为组件名称,
    • do-component-build：一般在此将maven命令包装为gradle命令
  • 组件源码包下载目录（简称dl）：bigtop\dl\xxx，其中xxx组件名称
  • 组件编译目录（简称build）：bigtop/build/xxx其中xxx组件名称
    • rpm/SOURCES: 组件配置目录下的文件都将被copy到此，另外组件源码下载目录下的源码包也被copy到此,
    • rpm/BUILD：组件源码将被解压在此，并进行编译；（注意每次编译时，此目录会重新生成，故编译前更改此目录文件无效）
    • rpm/RPMS：组件打包后的rpm包存放位置；若此位置有文件，gradle将跳过编译
    • rpm/SRPMS：srpm包存放位置
    • tar：存放源码tar包
• 组件下载编译流程 ：建议详细阅读package.gradle
  • 文件流转：dl/spark-xxx [tar.gz|zip|tgz] -> build/spark/rpm/SOURCES/spark/[tar.gz&sourcecode] -> build/spark/rpm/BUILD/spark/spark-xxx[sourcecode] -> build/spark/rpm/RPMS/[src.rpm] -> output/spark/ [src.rpm]
  • 1. 下载组件源码包到dl目录，若源码包已存在，则不再重新下载（可以利用此规则事先下载，节省时间，或者更改源码后，重新打包）
  • 2. 将dl目录下的源码压缩包解压到build目录；将packages目录的配置信息应用到build目录。（只要没有编译成功，会重复此步骤，故修改解压后的代码无效，会被解压覆盖）
  • 3. 在build目录进行编译；若发现配置没有生效，则需要删除build目录，重新执行xxx-rpm gradle命令；如npm、yarn、bower镜像配置没有生效的时候
• 编译经验
  • package目录中，编译前进行相关配置，尤其是更改为国内镜像。
  • 源码包事先下载后放到dl中，部分压缩包需要更改代码，重新打包
  • 若是前端项目编译失败，如tez-ui，可以定位到目录，执行node包安装命令，如 npm install，yarn install，bower install
    • 注意：请勿使用全局npm、yarn、install，定位到局部的，然后跟上全目录执行
  • 若是maven编译失败，处理失败原因后，优先使用 -rf: xxx,进行本模块及后续模块的编译，等maven在整体编译成功后，再使用gradle编译整个组件
    • 注意maven具体命令可以通过查看gradle编译日志中的获取
  • gradle 编译时，将日志保留下来，以便失败后，查看原因及搜索maven、和前端编译命令及局部npm、yarn、bower具体位置
• 并行编译 ：bigtop 3.2.0 貌似不支持并行编译,3.3.0 才支持 --parallel --parallel-threads=N
• 记录日志 ，以方便获取mvn命令及问题排查：
  • gradle编译：
    • ./gradlew tez-rpm -PparentDir=/usr/bigtop >> tez-rpm.log 2>> tez-rpm.log
  • maven编译（请以gradle日志中的mvn命令为准）：
    • mvn package install -DskipTests -Dorg.slf4j.simpleLogger.showDateTime=true -Dorg.slf4j.simpleLogger.dateTimeFormat="yyyy-MM-dd HH:mm:ss.SSS" >> /soft/code/bigtop/spark-rpm.log 2>> /soft/code/bigtop/spark-rpm.log
  • 前端编译：
    • npm install
    • yarn install
    • bower install --allow-root

各模块编译难度及大概耗时（纯编译耗时，不包含下载文件和排错时间）

• 组件名称 编译难度(5星) 纯编译耗时
• hadoop *** （1小时）[成功、无日志]
• zookeeper * （30分钟）[成功、无日志]
• hive * (1小时) [成功]
• hbase * (30分钟)[成功]
• phoenix * (30分钟)[成功]
• tez *** （1小时）[成功]
• bigtop-ambari-mpack * （5分钟）[成功]
• bigtop-groovy * （5秒）[成功]
• bigtop-jsvc * （5秒）[成功]
• bigtop-select * （5秒）[成功]
• bigtop-utils * （5秒）[成功]
• ranger （无此项）
• solr *** （1小时）[成功]
• kafka *** （30分钟）[成功]
• spark ***** (150分钟)[成功，去掉本地R环境，但是sparkR不去掉]
• flink [失败]
• zeppelin []

centos 真机编译branch-3.2

• 参考(强烈建议先通读以下文章，以便了解)
  • BigTop3.2.0 大数据组件编译--基础环境准备：https://blog.csdn.net/m0_48319997/article/details/128037302
  • BigTop3.2.0 大数据组件编译--组件编译 https://blog.csdn.net/m0_48319997/article/details/128101667
  • ambari2.8.0+bigtop3.2.0发行版大数据平台编译指南：https://blog.csdn.net/m0_48319997/article/details/130046296
  • Ambari+Bigtop大数据平台安装部署指南(Centos7)一：https://blog.csdn.net/m0_48319997/article/details/130069050
  • Ambari+Bigtop大数据平台安装部署指南(Centos7)二：https://blog.csdn.net/m0_48319997/article/details/130233526

硬件说明：

• 联想笔记本W540：内存32G CPU4核8线程 固态硬盘1T
• 编译环境：vmware centos 7.9 2核4线程（占整体物理机的一半） ，内存 12G，硬盘500G(建议至少100G，详见编译后磁盘占用)
• 说明：centos 的虚拟机文件放在固态硬盘分区中，以加快响应速度

编译步骤

下载代码并切换分支

git clone https://gitee.com/piaolingzxh/bigtop.git
cd bigtop/
git checkout -b branch-3.2 origin/branch-3.2

• 说明：
  • 本此编译时间：2024-7-18~29日
  • branch-3.2 分支会不断提交代码，你获取的代码可能比我的新；编译时，可能已经修复部分问题，但也可能出现新的问题。
  • 当前branch-3.2最新提交为2024-06-02。git hashcode 为3ffe75e05e8428f353a018aafc9c003be72ca6ff
  • branch3.2的代码其实已经包含了3.2.0和3.2.1release的代码，也就是比这两个tag的代码更新。有部分commit比master分支还要更新。

国内镜像配置

#修改bigtop/bigtop.bom配置 有两处要修改（两处全改或者改version=bigtop3.2.x对应的）
#1.修改镜像源为国内镜像源 103、104行
    APACHE_MIRROR = "https://repo.huaweicloud.com/apache"
    APACHE_ARCHIVE = "https://mirrors.aliyun.com/apache"
#2.解开bigtop-select组件的注释 删除273、281行

注意：部分材料可能在aliyun上照不到，需要换回原始地址
     APACHE_MIRROR = "https://apache.osuosl.org"
     APACHE_ARCHIVE = "https://archive.apache.org/dist"

基础环境准备

依赖环境安装(yum)

#安装组件编译所需的依赖
#1.hadoop依赖
yum -y install fuse-devel cmake cmake3 lzo-devel openssl-devel protobuf* cyrus-* 
#cmake默认版本改为cmake3
mv /usr/bin/cmake /usr/bin/cmake.bak
ln -s /usr/bin/cmake3 /usr/bin/cmake
#2.zookeeper依赖
yum -y install cppunit-devel
#3.spark依赖
yum -y install R* harfbuzz-devel fribidi-devel libcurl-devel libxml2-devel freetype-devel libpng-devel libtiff-devel libjpeg-turbo-devel pandoc* libgit2-devel
# 我的Rscript没有安装，且spark编译时跳过了本地R语言的make
Rscript -e "install.packages(c('knitr', 'rmarkdown', 'devtools', 'testthat', 'e1071', 'survival'), repos='http://mirrors.tuna.tsinghua.edu.cn/CRAN/')"
Rscript -e "install.packages(c('devtools'), repos='http://mirrors.tuna.tsinghua.edu.cn/CRAN/')"
Rscript -e "install.packages(c('evaluate'), repos='https://mirrors.bfsu.edu.cn/CRAN/')"

# 本地makeR环境报错如下
package 'evaluate' is not available (for R version 3.6.0) 
dependency 'evaluate' is not available for package 'knitr'
Rscript -e "install.packages(c('knitr'), repos='http://mirrors.tuna.tsinghua.edu.cn/CRAN/')"
Rscript -e "install.packages(c('evaluate'), repos='http://mirrors.tuna.tsinghua.edu.cn/CRAN/')"

依赖环境配置

• github相关hosts

  140.82.112.4 github.com
  199.232.69.194 github.global.ssl.fastly.net
  185.199.108.133 raw.githubusercontent.com
  185.199.109.133 raw.githubusercontent.com
  185.199.110.133 raw.githubusercontent.com
  185.199.111.133 raw.githubusercontent.com

国内镜像配置|软件全局配置

• maven镜像配置
• node镜像配置: ~/.npmrc , npm config set registry https://registry.npmmirror.com
• yarn镜像配置: ~/.yarnrc
• bower镜像配置: ~/.bowerrc

# ~/.bowerrc
{
  "directory": "bower_components",
  "registry": "https://registry.bower.io",
  "analytics": false,
  "resolvers": [
    "bower-shrinkwrap-resolver-ext"
  ],
  "strict-ssl": false
}

修改部分组件源代码

下载组件源码

#1.先下载
./gradlew tez-download zeppelin-download flink-download spark-download
#2.进入下载目录
cd dl
#3.解压这几个tar
tar -zxvf flink-1.15.3.tar.gz
tar -zxvf apache-tez-0.10.1-src.tar.gz
tar -zxvf zeppelin-0.10.1.tar.gz
tar -zxvf spark-3.2.3.tar.gz

修改代码

修改hadoop代码

-- dl/hadoop-3.3.6-src/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/pom.xml,在yarn install和bower innstall 之间添加一个节点如下

<execution>
  <phase>generate-resources</phase>
  <id>bower install moment-timezone</id>
  <configuration>
    <arguments>install moment-timezone=https://hub.nuaa.cf/moment/moment-timezone.git#=0.5.1 --allow-root</arguments>
  </configuration>
  <goals>
    <goal>bower</goal>
  </goals>
</execution>

修改flink代码

1）node、npm版本及相关设置
vi flink-1.15.0/flink-runtime-web/pom.xml ​
在275行 nodeVersion改为v12.22.1​
在276行 npmVersion改为6.14.12
bigtop/dl/flink-1.15.3/flink-runtime-web/pom.xml
<arguments>ci --cache-max=0 --no-save ${npm.proxy}</arguments> 此行删除，更改为下一行，注意没了ci
<arguments> install -g --registry=https://registry.npmmirror.com --cache-max=0 --no-save</arguments>
2）注释掉报错的测试代码
cd dl/flink-1.15.3/flink-formats/flink-avro-confluent-registry/src/test/java/org/apache/flink/formats/avro/registry/confluent/  
mv CachedSchemaCoderProviderTest.java CachedSchemaCoderProviderTest.java1
mv RegistryAvroFormatFactoryTest.java RegistryAvroFormatFactoryTest.java1
cd dl/flink-1.15.3/flink-end-to-end-tests/flink-end-to-end-tests-common-kafka/src/test/java/org/apache/flink/tests/util/kafka/
mv SQLClientSchemaRegistryITCase.java SQLClientSchemaRegistryITCase.java1 
3）io.confluent包无法下载的问题,手动下载，并安装到本地仓库()
wget https://packages.confluent.io/maven/io/confluent/common-config/6.2.2/common-config-6.2.2.jar ./
wget https://packages.confluent.io/maven/io/confluent/common-utils/6.2.2/common-utils-6.2.2.jar ./
wget https://packages.confluent.io/maven/io/confluent/kafka-avro-serializer/6.2.2/kafka-avro-serializer-6.2.2.jar ./
wget http://packages.confluent.io/maven/io/confluent/kafka-schema-registry-client/6.2.2/kafka-schema-registry-client-6.2.2.jar ./

# 安装jar包到本地仓库
mvn install:install-file -Dfile=/soft/ambari-develop/common-config-6.2.2.jar -DgroupId=io.confluent -DartifactId=common-config -Dversion=6.2.2 -Dpackaging=jar
mvn install:install-file -Dfile=/soft/ambari-develop/common-utils-6.2.2.jar -DgroupId=io.confluent -DartifactId=common-utils -Dversion=6.2.2 -Dpackaging=jar
mvn install:install-file -Dfile=/soft/ambari-develop/kafka-avro-serializer-6.2.2.jar -DgroupId=io.confluent -DartifactId=kafka-avro-serializer -Dversion=6.2.2 -Dpackaging=jar
mvn install:install-file -Dfile=/soft/ambari-develop/kafka-schema-registry-client-6.2.2.jar -DgroupId=io.confluent -DartifactId=kafka-schema-registry-client -Dversion=6.2.2 -Dpackaging=jar

npm install -g @angular/cli@13.0.0

修改tez代码

vi apache-tez-0.10.1-src/tez-ui/pom.xml 
在37行 allow-root-build改为--allow-root=true

bower国内镜像配置：https://bower.herokuapp.com 改为https://registry.bower.io
- 涉及到的文件：
  - bigtop\bigtop-packages\src\common\ambari\patch13-AMBARI-25946.diff
  - bigtop\bigtop-packages\src\common\tez\patch6-TEZ-4492.diff

修改zeppelin代码

vi zeppelin-0.10.1/pom.xml 
在209行plugin.gitcommitid.useNativeGit改为true
vi zeppelin-0.10.1/spark/pom.xml
在50行spark.src.download.url改为https://repo.huaweicloud.com/apache/spark/${spark.archive}/${spark.archive}.tgz
在53行spark.bin.download.url改为https://repo.huaweicloud.com/apache/spark/${spark.archive}/${spark.archive}-bin-without-hadoop.tgz
vi zeppelin-0.10.1/rlang/pom.xml
在41行spark.src.download.url改为https://repo.huaweicloud.com/apache/spark/${spark.archive}/${spark.archive}.tgz
在44行spark.bin.download.url改为https://repo.huaweicloud.com/apache/spark/${spark.archive}/${spark.archive}-bin-without-hadoop.tgz
vi zeppelin-0.10.1/flink/flink-scala-parent/pom.xml
在45行flink.bin.download.url改为https://repo.huaweicloud.com/apache/flink/flink-${flink.version}/flink-${flink.version}-bin-scala_${flink.scala.binary.version}.tgz

修改spark源码

cd bigtop/dl
vim spark-3.2.3/dev/make-distribution.sh
#BUILD_COMMAND=("$MVN" clean package -DskipTests $@)
BUILD_COMMAND=("$MVN" clean package -DskipTests -Dorg.slf4j.simpleLogger.showDateTime=true -Dorg.slf4j.simpleLogger.dateTimeFormat="yyyy-MM-dd HH:mm:ss.SSS" $@) #此行中添加打印时间参数
tar zcvf spark-3.2.3.tar.gz spark-3.2.3

重新打包组件源码

• 注意：打包后的压缩包，应与解压前的压缩包同名（含后缀）

tar zcvf flink-1.15.3.tar.gz flink-1.15.3
tar zcvf apache-tez-0.10.1-src.tar.gz apache-tez-0.10.1-src
tar zcvf zeppelin-0.10.1.tar.gz zeppelin-0.10.1
tar zcvf spark-3.2.3.tar.gz spark-3.2.3

整体编译[不建议]

• 预计需要N小时以上，且中间可能报各种错误，建议逐个组件进行编译，等所有组件编译成功之后，再整体编译
• 编译参数
  • allclean
  • -PparentDir=/usr/bigtop ：打出来的rpm包的默认安装位置，相当于ambari默认安装路径/usr/hdp
  • -Dbuildwithdeps=true: 编译时，若依赖组件没有编译，先编译依赖组件
  • -PpkgSuffix：
    • 编译时的bigtop版本，类似于hdp版本号，如3.2.0,3.2.1,3.3.0;
    • 此版本号将体现在打包后的文件名重，编译时务必带上此参数，否则编译后，ambari找不到对应的包。
    • 示例包名称：hadoop_3_2_1-hdfs-namenode-3.3.6-1.el7.x86_64.rpm，其中3_2_1代表bigtop版本号
  • $component-rpm: component 代表组件名称，如spark,hive,hbase等大数据组件
  • allclean: 删除build/*、output/、/dist，请慎重操作，重新编译会极其耗时，且由于被墙，可能出现以前没出现的错误。建议使用此命令前，先将此三个目录手动备份

特别强调 ：

编译时一定要添加-PpkgSuffix，否则打出的包不带bigtop版本号，后期安装大数据组件的时候，ambari无法识别，具体报错如下：

Error getting repository data for BIGTOP-3.2.0, repository not found

No package found for hadoop_${stack_version}(expected name: hadoop_3_2_0)

整体编译命令（在bigtop根目录执行）

# 
./gradlew bigtop-groovy-rpm bigtop-jsvc-rpm bigtop-select-rpm bigtop-utils-rpm flink-rpm hadoop-rpm hbase-rpm hive-rpm kafka-rpm solr-rpm spark-rpm tez-rpm zeppelin-rpm zookeeper-rpm -Dbuildwithdeps=true -PparentDir=/usr/bigtop -PpkgSuffix -x test >> logs/bigtop-full.log 2>> logs/bigtop-full.log

逐步逐组件编译

先编译一些周边依赖组件：

• bigtop-ambari-mpack-rpm
• bigtop-groovy-rpm
• bigtop-jsvc-rpm
• bigtop-select-rpm
• bigtop-utils-rpm

./gradlew bigtop-ambari-mpack-rpm bigtop-groovy-rpm bigtop-jsvc-rpm bigtop-select-rpm bigtop-utils-rpm -Dbuildwithdeps=true -PparentDir=/usr/bigtop -PpkgSuffix -x test >> logs/bigtop-dep.log 2>> logs/bigtop-dep.log

zookeeper(子项目21个)

• ./gradlew zookeeper-rpm -Dbuildwithdeps=true -PparentDir=/usr/bigtop -PpkgSuffix -x test >> logs/bigtop-zookeeper.log 2>> logs/bigtop-zookeeper.log

hadoop（子项目111个）

• gradle编译命令：./gradlew hadoop-rpm -Dbuildwithdeps=true -PparentDir=/usr/bigtop -PpkgSuffix -x test >> logs/bigtop-hadoop.log 2>> logs/bigtop-hadoop.log
• maven编译命令示例：

cd /soft/code/bigtop/build/hadoop/rpm/BUILD/hadoop-3.3.6-src
mvn -Pdist -Pnative -Psrc -Pyarn-ui -Dtar -Dzookeeper.version=3.6.4 -Dhbase.profile=2.0 -DskipTests -DskipITs install -rf :hadoop-yarn-ui >> /soft/code/bigtop/logs/bigtop-hadoop-mvn.log 2>> /soft/code/bigtop/logs/bigtop-hadoop-mvn.log

问题点-解决方法：

• 1）cmake3：见上边基础环境配置
• 2）hadoop-yarn-ui编译
  • hadoop-yarn-ui:pom.xml -> 添加：bower install moment-timezone=https://hub.nuaa.cf/moment/moment-timezone.git#=0.5.1 --allow-root
• 3）bower要访问github.com，注意确认网络通畅

具体操作：

• 1）hadoop-yarn-ui编译时，测试是否联通github
• git ls-remote --tags --heads https://github.com/moment/moment-timezone.git 可以使用此命令测试是否能够正常访问github分支信息
• 2）编译时，若moment-timezone#0.5.1或者ember#2.8.0无法安装，报ENORES component No version found that was able to satisfy
• 则在hadoop-yarn-ui:pom.xml -> 在bow install命令之前添加：bower install moment-timezone=https://hub.nuaa.cf/moment/moment-timezone.git#=0.5.1 --allow-root,详见hadoop代码修改
• 前端命令位置：
  • node、yarn、bower命令执行的位置(以日志中为准)：bigtop/build/hadoop/rpm/BUILD/hadoop-3.3.6-src/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-ui/component/webapp
  • 局部node位置：webapp/node/yarn/dist/bin/yarn install
  • 局部bower位置：webapp/node_modules/bower/bin/bower，若在root账户下编译执行，需要添加 --allow-root

hbase

• ./gradlew hbase-rpm -Dbuildwithdeps=true -PparentDir=/usr/bigtop -PpkgSuffix -x test >> logs/bigtop-hbase.log 2>> logs/bigtop-hbase.log

hive

• ./gradlew hive-rpm -Dbuildwithdeps=true -PparentDir=/usr/bigtop -PpkgSuffix -x test >> logs/bigtop-hive.log 2>> logs/bigtop-hive.log

phoenix

• ./gradlew bigtop-ambari-mpack-rpm phoenix-rpm -Dbuildwithdeps=true -PparentDir=/usr/bigtop -PpkgSuffix -x test >> logs/bigtop-phoenix.log 2>> logs/bigtop-phoenix.log

tez

• ./gradlew tez-rpm -Dbuildwithdeps=true -PparentDir=/usr/bigtop -PpkgSuffix -x test >> logs/bigtop-tez.log 2>> logs/bigtop-tez.log

问题点|解决方法：

• 1）root编译，apache-tez-0.10.2-src/tez-ui/pom.xml ，在37行 allow-root-build改为--allow-root=true
• 2）bower镜像：https://bower.herokuapp.com 改为https://registry.bower.io
  • 涉及到的文件：
    • bigtop\bigtop-packages\src\common\ambari\patch13-AMBARI-25946.diff
    • bigtop\bigtop-packages\src\common\tez\patch6-TEZ-4492.diff
• 3)证书过期：codemirror#5.11.0 certificate has expired
  • export BOWER_STRCT_SSL=false
  • bower全局配置："strct_ssl" = false ,详细见上

报错信息：

• 1）bower ember-cli-shims#0.0.6 ECONNREFUSED Request to https://bower.herokuapp.com/packages/ember-cli-shims failed: connect ECONNREFUSED 108.160.169.186:443
• 解决方法：bower国内镜像设置，见上
• 2）bower codemirror#5.11.0 CERT_HAS_EXPIRED Request to https://registry.bower.io/packages/codemirror failed: certificate has expired
• 解决方法：证书过期设置，见上

spark(子项目29个)

• gradle 命令./gradlew spark-rpm -Dbuildwithdeps=true -PparentDir=/usr/bigtop -PpkgSuffix -x test >> logs/bigtop-spark.log 2>> logs/bigtop-spark.log
• maven命令（请以日志中命令为准）：mvn clean package -DskipTests -Divy.home=/root/.ivy2 -Dsbt.ivy.home=/root/.ivy2 -Duser.home=/root -Drepo.maven.org= -Dreactor.repo=file:///root/.m2/repository -Dhadoop.version=3.3.6 -Dyarn.version=3.3.6 -Pyarn -Phadoop-3.2 -Phive -Phive-thriftserver -Psparkr -Pkubernetes -Pscala-2.12 -Dguava.version=27.0-jre -DskipTests -Dorg.slf4j.simpleLogger.showDateTime=true -Dorg.slf4j.simpleLogger.dateTimeFormat="yyyy-MM-dd HH:mm:ss.SSS" >> /soft/code/bigtop/spark-rpm-mvn.log 2>> /soft/code/bigtop/spark-rpm-mvn.log
• 说明：gradle先调用spark源码解压目录下dev/make-distribution.sh进行mvn clean package；然后再执行maven install，花费时间为单次的2倍。纯编译时长总共大约在150分钟左右

问题点|解决方法

• 1）SparkR能够正常打包，但是本地MAKE_R一直失败，可以考虑取消本地make_r
• 解决方法：vim bigtop\bigtop-packages\src\common\spark\do-component-build 中./dev/make-distribution.sh --mvn mvn --r $BUILD_OPTS -DskipTests # 此行中去掉 --r
• 2）scala、java混合编译耗时较长，maven编译日志，显示时间
• vim dl/spark-3.2.3/dev/make-distribution.sh

BUILD_COMMAND=("$MVN" clean package -DskipTests $@) 注释掉本行

• BUILD_COMMAND=("$MVN" clean package -DskipTests -Dorg.slf4j.simpleLogger.showDateTime=true -Dorg.slf4j.simpleLogger.dateTimeFormat="yyyy-MM-dd HH:mm:ss.SSS" $@) #此行中添加打印时间参数
• vim bigtop\bigtop-packages\src\common\spark\do-component-build
• mvn BUILD_OPTS install -DskipTests=SPARK_SKIP_TESTS -Dorg.slf4j.simpleLogger.showDateTime=true -Dorg.slf4j.simpleLogger.dateTimeFormat="yyyy-MM-dd HH:mm:ss.SSS" #此行中添加打印时间参数

报错信息

• 1）Error in loadVignetteBuilder(pkgdir, TRUE) : vignette builder 'knitr' not found
• 解决方法：去掉本地make_r

kafka

• ./gradlew kafka-rpm -Dbuildwithdeps=true -PparentDir=/usr/bigtop -PpkgSuffix -x test >> logs/bigtop-kafka.log 2>> logs/bigtop-kafka.log

注意点：

• 1)访问：raw.githubusercontent.com
• 解决方法：hosts文件配置（见上）

flink(子项目207个)

• ./gradlew flink-rpm -Dbuildwithdeps=true -PparentDir=/usr/bigtop -PpkgSuffix -x test >> logs/bigtop-flink.log 2>> logs/bigtop-flink.log

• 注意：此项目不能跳过测试代码编译
  问题点|解决方法：

• 1）io.confluent相关jar包无法下载，

• 解决方法：手动下载，并注册到本地仓库，详见上

• 2）测试代码出错：

  • CachedSchemaCoderProviderTest.java
  • RegistryAvroFormatFactoryTest.java
  • SQLClientSchemaRegistryITCase.java
• 3. ndoe、npm 下载失败，
  • Downloading https://nodejs.org/dist/v16.13.2/node-v16.13.2-linux-x64.tar.gz to /root/.m2/repository/com/github/eirslett/node/16.13.2/node-16.13.2-linux-x64.tar.gz
  • Downloading https://registry.npmjs.org/npm/-/npm-8.1.2.tgz to /root/.m2/repository/com/github/eirslett/npm/8.1.2/npm-8.1.2.tar.gz
  • 解决方案：手动下载，并放到下载目录（注意后缀名保持一致）
  • mv /home/zxh/soft/ambari-develop/node-v16.13.2-linux-x64.tar.gz /root/.m2/repository/com/github/eirslett/node/16.13.2/node-16.13.2-linux-x64.tar.gz
  • mv /home/zxh/soft/ambari-develop/npm-8.1.2.tgz /root/.m2/repository/com/github/eirslett/npm/8.1.2/npm-8.1.2.tar.gz

solr

• ./gradlew solr-rpm -Dbuildwithdeps=true -PparentDir=/usr/bigtop -PpkgSuffix -x test >> logs/bigtop-solr.log 2>> logs/bigtop-solr.log
• 注意点：
  • 1）此项目使用ivy编译，强烈建议配置国内源

zeppelin

• ./gradlew zeppelin-rpm -Dbuildwithdeps=true -PparentDir=/usr/bigtop -PpkgSuffix -x test >> logs/bigtop-zeppelin.log 2>> logs/bigtop-zeppelin.log

#下载zeppelin源码包
​./gradlew zeppelin-download
​#解压zeppelin源码
​cd dl
​tar -zxvf zeppelin-0.10.1.tar.gz
​#修改pom文件
​vi zeppelin-0.10.1/pom.xml 
​在209行plugin.gitcommitid.useNativeGit改为true
​vi zeppelin-0.10.1/spark/pom.xml
​在50行spark.src.download.url改为https://repo.huaweicloud.com/apache/spark/${spark.archive}/${spark.archive}.tgz
​在53行spark.bin.download.url改为https://repo.huaweicloud.com/apache/spark/${spark.archive}/${spark.archive}-bin-without-hadoop.tgz
​vi zeppelin-0.10.1/rlang/pom.xml
​在41行spark.src.download.url改为https://repo.huaweicloud.com/apache/spark/${spark.archive}/${spark.archive}.tgz
​在44行spark.bin.download.url改为https://repo.huaweicloud.com/apache/spark/${spark.archive}/${spark.archive}-bin-without-hadoop.tgz
​vi zeppelin-0.10.1/flink/flink-scala-parent/pom.xml
​在45行flink.bin.download.url改为https://repo.huaweicloud.com/apache/flink/flink-${flink.version}/flink-${flink.version}-bin-scala_${flink.scala.binary.version}.tgz
​#重新打包zeppelin源码
​tar -zcvf zeppelin-0.10.1.tar.gz zeppelin-0.10.1
​#编译
​./gradlew zeppelin-rpm -PparentDir=/usr/bigtop

问题：
[INFO] Downloading https://registry.npmjs.org/npm/-/npm-6.9.0.tgz to /root/.m2/repository/com/github/eirslett/npm/6.9.0/npm-6.9.0.tar.gz
I/O exception (java.net.SocketException) caught when processing request to {s}->https://registry.npmjs.org:443: Connection reset
解决：去阿里云、华为云下载,放到上述目标位置，注意文件重命名
https://mirrors.aliyun.com/macports/distfiles/npm6/npm-6.9.0.tgz
mvn -Dhadoop3.2.version=3.3.6 -Dlivy.version=0.7.1-incubating -Pscala-2.11 -Phadoop3 -Pbuild-distr -DskipTests clean package -pl '!beam,!hbase,!pig,!jdbc,!flink,!ignite,!kylin,!lens,!cassandra,!elasticsearch,!bigquery,!alluxio,!scio,!groovy,!sap,!java,!geode,!neo4j,!hazelcastjet,!submarine,!sparql,!mongodb,!ksql,!scalding' -am -rf :zeppelin-client-examples  >> /soft/code/bigtop/logs/bigtop-zeppelin.log 2>> /soft/code/bigtop/logs/bigtop-zeppelin.log    
问题：Bower resolver not found: bower-shrinkwrap-resolver-ext
https://www.cnblogs.com/jameBo/p/10615444.html

编译后磁盘占用

• 磁盘占用：
  • bigtop 11G
  • ambari 2.1G
  • ambari 6G
  • 公共部分磁盘占用
    • .m2: 12G
    • .ant 2M
    • .ivy2 200M
    • .gradle 1.2g
    • .nvm 75m
    • .npm 400M
    • .cache 400M
• 总计磁盘占用：34G+

branch-3.2 各组件编译耗时[纯编译时间，不含下载相关包时间]

• 注：不出错的情况下

hbase

[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary for Apache HBase 2.4.17:
[INFO] 
[INFO] Apache HBase ....................................... SUCCESS [  5.172 s]
[INFO] Apache HBase - Checkstyle .......................... SUCCESS [  1.053 s]
[INFO] Apache HBase - Annotations ......................... SUCCESS [  0.786 s]
[INFO] Apache HBase - Build Configuration ................. SUCCESS [  0.313 s]
[INFO] Apache HBase - Logging ............................. SUCCESS [  1.018 s]
[INFO] Apache HBase - Shaded Protocol ..................... SUCCESS [ 40.242 s]
[INFO] Apache HBase - Common .............................. SUCCESS [ 10.561 s]
[INFO] Apache HBase - Metrics API ......................... SUCCESS [  6.383 s]
[INFO] Apache HBase - Hadoop Compatibility ................ SUCCESS [ 10.353 s]
[INFO] Apache HBase - Metrics Implementation .............. SUCCESS [  6.360 s]
[INFO] Apache HBase - Hadoop Two Compatibility ............ SUCCESS [  8.477 s]
[INFO] Apache HBase - Protocol ............................ SUCCESS [  9.247 s]
[INFO] Apache HBase - Client .............................. SUCCESS [  8.566 s]
[INFO] Apache HBase - Zookeeper ........................... SUCCESS [  7.584 s]
[INFO] Apache HBase - Replication ......................... SUCCESS [  7.105 s]
[INFO] Apache HBase - Resource Bundle ..................... SUCCESS [  0.327 s]
[INFO] Apache HBase - HTTP ................................ SUCCESS [  9.274 s]
[INFO] Apache HBase - Asynchronous FileSystem ............. SUCCESS [  9.537 s]
[INFO] Apache HBase - Procedure ........................... SUCCESS [  6.110 s]
[INFO] Apache HBase - Server .............................. SUCCESS [ 19.575 s]
[INFO] Apache HBase - MapReduce ........................... SUCCESS [ 11.442 s]
[INFO] Apache HBase - Testing Util ........................ SUCCESS [ 13.362 s]
[INFO] Apache HBase - Thrift .............................. SUCCESS [ 14.274 s]
[INFO] Apache HBase - RSGroup ............................. SUCCESS [ 10.479 s]
[INFO] Apache HBase - Shell ............................... SUCCESS [ 13.807 s]
[INFO] Apache HBase - Coprocessor Endpoint ................ SUCCESS [ 11.806 s]
[INFO] Apache HBase - Integration Tests ................... SUCCESS [ 13.822 s]
[INFO] Apache HBase - Rest ................................ SUCCESS [ 10.202 s]
[INFO] Apache HBase - Examples ............................ SUCCESS [ 14.512 s]
[INFO] Apache HBase - Shaded .............................. SUCCESS [  0.385 s]
[INFO] Apache HBase - Shaded - Client (with Hadoop bundled) SUCCESS [ 31.657 s]
[INFO] Apache HBase - Shaded - Client ..................... SUCCESS [ 18.075 s]
[INFO] Apache HBase - Shaded - MapReduce .................. SUCCESS [ 28.745 s]
[INFO] Apache HBase - External Block Cache ................ SUCCESS [  9.085 s]
[INFO] Apache HBase - HBTop ............................... SUCCESS [  7.789 s]
[INFO] Apache HBase - Assembly ............................ SUCCESS [02:21 min]
[INFO] Apache HBase - Shaded - Testing Util ............... SUCCESS [01:08 min]
[INFO] Apache HBase - Shaded - Testing Util Tester ........ SUCCESS [ 10.186 s]
[INFO] Apache HBase Shaded Packaging Invariants ........... SUCCESS [ 11.475 s]
[INFO] Apache HBase Shaded Packaging Invariants (with Hadoop bundled) SUCCESS [  7.806 s]
[INFO] Apache HBase - Archetypes .......................... SUCCESS [  0.088 s]
[INFO] Apache HBase - Exemplar for hbase-client archetype . SUCCESS [  8.892 s]
[INFO] Apache HBase - Exemplar for hbase-shaded-client archetype SUCCESS [ 11.462 s]
[INFO] Apache HBase - Archetype builder ................... SUCCESS [  0.595 s]
[INFO] ------------------------------------------------------------------------

Phoenix

[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary for Apache Phoenix 5.1.3:
[INFO] 
[INFO] Apache Phoenix ..................................... SUCCESS [  7.259 s]
[INFO] Phoenix Hbase 2.5.0 compatibility .................. SUCCESS [ 26.320 s]
[INFO] Phoenix Hbase 2.4.1 compatibility .................. SUCCESS [ 15.803 s]
[INFO] Phoenix Hbase 2.4.0 compatibility .................. SUCCESS [ 16.274 s]
[INFO] Phoenix Hbase 2.3.0 compatibility .................. SUCCESS [ 21.425 s]
[INFO] Phoenix Hbase 2.2.5 compatibility .................. SUCCESS [ 13.561 s]
[INFO] Phoenix Hbase 2.1.6 compatibility .................. SUCCESS [ 12.690 s]
[INFO] Phoenix Core ....................................... SUCCESS [ 57.483 s]
[INFO] Phoenix - Pherf .................................... SUCCESS [ 17.866 s]
[INFO] Phoenix - Tracing Web Application .................. SUCCESS [ 11.662 s]
[INFO] Phoenix Client Parent .............................. SUCCESS [  0.046 s]
[INFO] Phoenix Client ..................................... SUCCESS [05:54 min]
[INFO] Phoenix Client Embedded ............................ SUCCESS [04:47 min]
[INFO] Phoenix Server JAR ................................. SUCCESS [ 59.698 s]
[INFO] Phoenix Assembly ................................... SUCCESS [ 22.830 s]
[INFO] ------------------------------------------------------------------------

tez

[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary for tez 0.10.2:
[INFO] 
[INFO] tez ................................................ SUCCESS [  5.045 s]
[INFO] hadoop-shim ........................................ SUCCESS [  6.835 s]
[INFO] tez-api ............................................ SUCCESS [ 16.603 s]
[INFO] tez-build-tools .................................... SUCCESS [  0.765 s]
[INFO] tez-common ......................................... SUCCESS [  3.871 s]
[INFO] tez-runtime-internals .............................. SUCCESS [  4.840 s]
[INFO] tez-runtime-library ................................ SUCCESS [  9.267 s]
[INFO] tez-mapreduce ...................................... SUCCESS [  5.369 s]
[INFO] tez-examples ....................................... SUCCESS [  3.140 s]
[INFO] tez-dag ............................................ SUCCESS [ 12.564 s]
[INFO] tez-tests .......................................... SUCCESS [  6.626 s]
[INFO] tez-ext-service-tests .............................. SUCCESS [  5.906 s]
[INFO] tez-ui ............................................. SUCCESS [01:36 min]
[INFO] tez-plugins ........................................ SUCCESS [  0.072 s]
[INFO] tez-protobuf-history-plugin ........................ SUCCESS [  6.192 s]
[INFO] tez-yarn-timeline-history .......................... SUCCESS [  7.515 s]
[INFO] tez-yarn-timeline-history-with-acls ................ SUCCESS [  8.769 s]
[INFO] tez-yarn-timeline-cache-plugin ..................... SUCCESS [ 31.190 s]
[INFO] tez-yarn-timeline-history-with-fs .................. SUCCESS [  7.541 s]
[INFO] tez-history-parser ................................. SUCCESS [ 22.187 s]
[INFO] tez-aux-services ................................... SUCCESS [ 17.969 s]
[INFO] tez-tools .......................................... SUCCESS [  0.159 s]
[INFO] tez-perf-analyzer .................................. SUCCESS [  0.095 s]
[INFO] tez-job-analyzer ................................... SUCCESS [  4.962 s]
[INFO] tez-javadoc-tools .................................. SUCCESS [  1.292 s]
[INFO] hadoop-shim-impls .................................. SUCCESS [  0.074 s]
[INFO] hadoop-shim-2.8 .................................... SUCCESS [  1.260 s]
[INFO] tez-dist ........................................... SUCCESS [ 51.987 s]
[INFO] Tez ................................................ SUCCESS [  0.416 s]
[INFO] ------------------------------------------------------------------------

spark

• mvn clean package

  2024-07-22 15:37:08.290 [INFO] ------------------------------------------------------------------------
  2024-07-22 15:37:08.290 [INFO] Reactor Summary for Spark Project Parent POM 3.2.3:
  2024-07-22 15:37:08.290 [INFO]
  2024-07-22 15:37:08.292 [INFO] Spark Project Parent POM ........................... SUCCESS [ 7.644 s]
  2024-07-22 15:37:08.292 [INFO] Spark Project Tags ................................. SUCCESS [ 17.558 s]
  2024-07-22 15:37:08.292 [INFO] Spark Project Sketch ............................... SUCCESS [ 14.904 s]
  2024-07-22 15:37:08.293 [INFO] Spark Project Local DB ............................. SUCCESS [ 4.335 s]
  2024-07-22 15:37:08.293 [INFO] Spark Project Networking ........................... SUCCESS [ 9.101 s]
  2024-07-22 15:37:08.293 [INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [ 4.797 s]
  2024-07-22 15:37:08.294 [INFO] Spark Project Unsafe ............................... SUCCESS [ 18.140 s]
  2024-07-22 15:37:08.294 [INFO] Spark Project Launcher ............................. SUCCESS [ 3.284 s]
  2024-07-22 15:37:08.294 [INFO] Spark Project Core ................................. SUCCESS [06:30 min] 6分钟
  2024-07-22 15:37:08.294 [INFO] Spark Project ML Local Library ..................... SUCCESS [01:39 min]
  2024-07-22 15:37:08.295 [INFO] Spark Project GraphX ............................... SUCCESS [01:31 min]
  2024-07-22 15:37:08.295 [INFO] Spark Project Streaming ............................ SUCCESS [03:09 min] 3分钟
  2024-07-22 15:37:08.295 [INFO] Spark Project Catalyst ............................. SUCCESS [07:35 min] 7分钟
  2024-07-22 15:37:08.296 [INFO] Spark Project SQL .................................. SUCCESS [12:56 min] 12分钟
  2024-07-22 15:37:08.296 [INFO] Spark Project ML Library ........................... SUCCESS [08:11 min] 8分钟
  2024-07-22 15:37:08.296 [INFO] Spark Project Tools ................................ SUCCESS [ 18.675 s]
  2024-07-22 15:37:08.296 [INFO] Spark Project Hive ................................. SUCCESS [05:02 min] 5分钟
  2024-07-22 15:37:08.296 [INFO] Spark Project REPL ................................. SUCCESS [01:13 min]
  2024-07-22 15:37:08.297 [INFO] Spark Project YARN Shuffle Service ................. SUCCESS [ 21.930 s]
  2024-07-22 15:37:08.297 [INFO] Spark Project YARN ................................. SUCCESS [02:53 min]
  2024-07-22 15:37:08.297 [INFO] Spark Project Kubernetes ........................... SUCCESS [02:39 min]
  2024-07-22 15:37:08.297 [INFO] Spark Project Hive Thrift Server ................... SUCCESS [02:12 min]
  2024-07-22 15:37:08.298 [INFO] Spark Project Assembly ............................. SUCCESS [ 6.690 s]
  2024-07-22 15:37:08.298 [INFO] Kafka 0.10+ Token Provider for Streaming ........... SUCCESS [ 59.635 s]
  2024-07-22 15:37:08.298 [INFO] Spark Integration for Kafka 0.10 ................... SUCCESS [01:28 min]
  2024-07-22 15:37:08.299 [INFO] Kafka 0.10+ Source for Structured Streaming ........ SUCCESS [02:50 min]
  2024-07-22 15:37:08.299 [INFO] Spark Project Examples ............................. SUCCESS [01:51 min]
  2024-07-22 15:37:08.299 [INFO] Spark Integration for Kafka 0.10 Assembly .......... SUCCESS [ 19.932 s]
  2024-07-22 15:37:08.300 [INFO] Spark Avro ......................................... SUCCESS [02:07 min]
  2024-07-22 15:37:08.300 [INFO] ------------------------------------------------------------------------
  2024-07-22 15:37:08.301 [INFO] BUILD SUCCESS
  2024-07-22 15:37:08.301 [INFO] ------------------------------------------------------------------------
  2024-07-22 15:37:08.302 [INFO] Total time: 01:07 h
  2024-07-22 15:37:08.302 [INFO] Finished at: 2024-07-22T15:37:08+08:00
  2024-07-22 15:37:08.303 [INFO] ------------------------------------------------------------------------

  疑问：在家时候，编译速度更慢，CPU消耗也较低，猜测可能是因为没关机的原因
  2024-07-22 07:21:01.933 [INFO] ------------------------------------------------------------------------
  2024-07-22 07:21:01.934 [INFO] Reactor Summary for Spark Project Parent POM 3.2.3:
  2024-07-22 07:21:01.936 [INFO]
  2024-07-22 07:21:01.939 [INFO] Spark Project Parent POM ........................... SUCCESS [ 24.693 s]
  2024-07-22 07:21:01.941 [INFO] Spark Project Tags ................................. SUCCESS [ 47.200 s]
  2024-07-22 07:21:01.943 [INFO] Spark Project Sketch ............................... SUCCESS [ 53.843 s]
  2024-07-22 07:21:01.945 [INFO] Spark Project Local DB ............................. SUCCESS [ 15.175 s]
  2024-07-22 07:21:01.947 [INFO] Spark Project Networking ........................... SUCCESS [ 33.738 s]
  2024-07-22 07:21:01.949 [INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [ 17.500 s]
  2024-07-22 07:21:01.951 [INFO] Spark Project Unsafe ............................... SUCCESS [01:06 min]
  2024-07-22 07:21:01.952 [INFO] Spark Project Launcher ............................. SUCCESS [ 12.097 s]
  2024-07-22 07:21:01.954 [INFO] Spark Project Core ................................. SUCCESS [23:34 min]
  2024-07-22 07:21:01.957 [INFO] Spark Project ML Local Library ..................... SUCCESS [04:01 min]
  2024-07-22 07:21:01.960 [INFO] Spark Project GraphX ............................... SUCCESS [04:43 min]
  2024-07-22 07:21:01.962 [INFO] Spark Project Streaming ............................ SUCCESS [08:30 min]
  2024-07-22 07:21:01.962 [INFO] Spark Project Catalyst ............................. SUCCESS [24:34 min]
  2024-07-22 07:21:01.963 [INFO] Spark Project SQL .................................. SUCCESS [38:07 min]
  2024-07-22 07:21:01.965 [INFO] Spark Project ML Library ........................... SUCCESS [25:03 min]
  2024-07-22 07:21:01.966 [INFO] Spark Project Tools ................................ SUCCESS [01:09 min]
  2024-07-22 07:21:01.969 [INFO] Spark Project Hive ................................. SUCCESS [15:42 min]
  2024-07-22 07:21:01.972 [INFO] Spark Project REPL ................................. SUCCESS [03:50 min]
  2024-07-22 07:21:01.973 [INFO] Spark Project YARN Shuffle Service ................. SUCCESS [01:20 min]
  2024-07-22 07:21:01.975 [INFO] Spark Project YARN ................................. SUCCESS [08:42 min]
  2024-07-22 07:21:01.976 [INFO] Spark Project Hive Thrift Server ................... SUCCESS [08:33 min]
  2024-07-22 07:21:01.976 [INFO] Spark Project Assembly ............................. SUCCESS [ 36.134 s]
  2024-07-22 07:21:01.978 [INFO] Kafka 0.10+ Token Provider for Streaming ........... SUCCESS [03:52 min]
  2024-07-22 07:21:01.981 [INFO] Spark Integration for Kafka 0.10 ................... SUCCESS [05:26 min]
  2024-07-22 07:21:01.982 [INFO] Kafka 0.10+ Source for Structured Streaming ........ SUCCESS [10:05 min]
  2024-07-22 07:21:01.983 [INFO] Spark Project Examples ............................. SUCCESS [06:48 min]
  2024-07-22 07:21:01.984 [INFO] Spark Integration for Kafka 0.10 Assembly .......... SUCCESS [01:18 min]
  2024-07-22 07:21:01.985 [INFO] Spark Avro ......................................... SUCCESS [08:12 min]
  2024-07-22 07:21:01.987 [INFO] ------------------------------------------------------------------------
  2024-07-22 07:21:01.987 [INFO] BUILD SUCCESS
  2024-07-22 07:21:01.988 [INFO] ------------------------------------------------------------------------
  2024-07-22 07:21:01.991 [INFO] Total time: 03:28 h
  2024-07-22 07:21:01.994 [INFO] Finished at: 2024-07-22T07:21:01+08:00
  2024-07-22 07:21:01.995 [INFO] ------------------------------------------------------------------------

• mvn install

  2024-07-22 16:43:49.807 [INFO] ------------------------------------------------------------------------
  2024-07-22 16:43:49.808 [INFO] Reactor Summary for Spark Project Parent POM 3.2.3:
  2024-07-22 16:43:49.808 [INFO]
  2024-07-22 16:43:49.809 [INFO] Spark Project Parent POM ........................... SUCCESS [ 8.358 s]
  2024-07-22 16:43:49.809 [INFO] Spark Project Tags ................................. SUCCESS [ 11.288 s]
  2024-07-22 16:43:49.810 [INFO] Spark Project Sketch ............................... SUCCESS [ 7.351 s]
  2024-07-22 16:43:49.810 [INFO] Spark Project Local DB ............................. SUCCESS [ 9.763 s]
  2024-07-22 16:43:49.810 [INFO] Spark Project Networking ........................... SUCCESS [ 19.142 s]
  2024-07-22 16:43:49.810 [INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [ 19.644 s]
  2024-07-22 16:43:49.811 [INFO] Spark Project Unsafe ............................... SUCCESS [ 9.358 s]
  2024-07-22 16:43:49.811 [INFO] Spark Project Launcher ............................. SUCCESS [ 8.332 s]
  2024-07-22 16:43:49.811 [INFO] Spark Project Core ................................. SUCCESS [06:43 min]
  2024-07-22 16:43:49.811 [INFO] Spark Project ML Local Library ..................... SUCCESS [01:14 min]
  2024-07-22 16:43:49.811 [INFO] Spark Project GraphX ............................... SUCCESS [01:23 min]
  2024-07-22 16:43:49.812 [INFO] Spark Project Streaming ............................ SUCCESS [02:23 min]
  2024-07-22 16:43:49.812 [INFO] Spark Project Catalyst ............................. SUCCESS [07:44 min]
  2024-07-22 16:43:49.812 [INFO] Spark Project SQL .................................. SUCCESS [12:42 min]
  2024-07-22 16:43:49.812 [INFO] Spark Project ML Library ........................... SUCCESS [08:15 min]
  2024-07-22 16:43:49.812 [INFO] Spark Project Tools ................................ SUCCESS [ 15.477 s]
  2024-07-22 16:43:49.813 [INFO] Spark Project Hive ................................. SUCCESS [04:28 min]
  2024-07-22 16:43:49.813 [INFO] Spark Project REPL ................................. SUCCESS [01:13 min]
  2024-07-22 16:43:49.814 [INFO] Spark Project YARN Shuffle Service ................. SUCCESS [ 26.235 s]
  2024-07-22 16:43:49.814 [INFO] Spark Project YARN ................................. SUCCESS [02:35 min]
  2024-07-22 16:43:49.815 [INFO] Spark Project Kubernetes ........................... SUCCESS [02:32 min]
  2024-07-22 16:43:49.815 [INFO] Spark Project Hive Thrift Server ................... SUCCESS [02:35 min]
  2024-07-22 16:43:49.815 [INFO] Spark Project Assembly ............................. SUCCESS [ 5.722 s]
  2024-07-22 16:43:49.816 [INFO] Kafka 0.10+ Token Provider for Streaming ........... SUCCESS [ 59.883 s]
  2024-07-22 16:43:49.816 [INFO] Spark Integration for Kafka 0.10 ................... SUCCESS [01:30 min]
  2024-07-22 16:43:49.816 [INFO] Kafka 0.10+ Source for Structured Streaming ........ SUCCESS [02:57 min]
  2024-07-22 16:43:49.817 [INFO] Spark Project Examples ............................. SUCCESS [02:22 min]
  2024-07-22 16:43:49.817 [INFO] Spark Integration for Kafka 0.10 Assembly .......... SUCCESS [ 17.156 s]
  2024-07-22 16:43:49.817 [INFO] Spark Avro ......................................... SUCCESS [02:15 min]
  2024-07-22 16:43:49.818 [INFO] ------------------------------------------------------------------------
  2024-07-22 16:43:49.818 [INFO] BUILD SUCCESS
  2024-07-22 16:43:49.818 [INFO] ------------------------------------------------------------------------
  2024-07-22 16:43:49.818 [INFO] Total time: 01:06 h
  2024-07-22 16:43:49.819 [INFO] Finished at: 2024-07-22T16:43:49+08:00
  2024-07-22 16:43:49.819 [INFO] ------------------------------------------------------------------------

flink

[INFO] ------------------------------------------------------------------------
[INFO] Reactor Build Order:
[INFO] 
[INFO] Flink :                                                            [pom]
[INFO] Flink : Annotations                                                [jar]
[INFO] Flink : Architecture Tests                                         [pom]
[INFO] Flink : Architecture Tests : Base                                  [jar]
[INFO] Flink : Test utils :                                               [pom]
[INFO] Flink : Test utils : Junit                                         [jar]
[INFO] Flink : Metrics :                                                  [pom]
[INFO] Flink : Metrics : Core                                             [jar]
[INFO] Flink : Core                                                       [jar]
[INFO] Flink : Table :                                                    [pom]
[INFO] Flink : Table : Common                                             [jar]
[INFO] Flink : Table : API Java                                           [jar]
[INFO] Flink : Java                                                       [jar]
[INFO] Flink : Connectors :                                               [pom]
[INFO] Flink : Connectors : File Sink Common                              [jar]
[INFO] Flink : RPC :                                                      [pom]
[INFO] Flink : RPC : Core                                                 [jar]
[INFO] Flink : RPC : Akka                                                 [jar]
[INFO] Flink : RPC : Akka-Loader                                          [jar]
[INFO] Flink : Queryable state :                                          [pom]
[INFO] Flink : Queryable state : Client Java                              [jar]
[INFO] Flink : FileSystems :                                              [pom]
[INFO] Flink : FileSystems : Hadoop FS                                    [jar]
[INFO] Flink : Runtime                                                    [jar]
[INFO] Flink : Streaming Java                                             [jar]
[INFO] Flink : Table : API bridge base                                    [jar]
[INFO] Flink : Table : API Java bridge                                    [jar]
[INFO] Flink : Table : Code Splitter                                      [jar]
[INFO] Flink : Optimizer                                                  [jar]
[INFO] Flink : Clients                                                    [jar]
[INFO] Flink : DSTL                                                       [pom]
[INFO] Flink : DSTL : DFS                                                 [jar]
[INFO] Flink : State backends :                                           [pom]
[INFO] Flink : State backends : RocksDB                                   [jar]
[INFO] Flink : State backends : Changelog                                 [jar]
[INFO] Flink : Test utils : Utils                                         [jar]
[INFO] Flink : Libraries :                                                [pom]
[INFO] Flink : Libraries : CEP                                            [jar]
[INFO] Flink : Table : Runtime                                            [jar]
[INFO] Flink : Scala                                                      [jar]
[INFO] Flink : Table : SQL Parser                                         [jar]
[INFO] Flink : Table : SQL Parser Hive                                    [jar]
[INFO] Flink : Table : API Scala                                          [jar]
[INFO] Flink : Test utils : Connectors                                    [jar]
[INFO] Flink : Architecture Tests : Test                                  [jar]
[INFO] Flink : Connectors : Base                                          [jar]
[INFO] Flink : Connectors : Files                                         [jar]
[INFO] Flink : Examples :                                                 [pom]
[INFO] Flink : Examples : Batch                                           [jar]
[INFO] Flink : Connectors : Hadoop compatibility                          [jar]
[INFO] Flink : Tests                                                      [jar]
[INFO] Flink : Streaming Scala                                            [jar]
[INFO] Flink : Table : API Scala bridge                                   [jar]
[INFO] Flink : Table : Planner                                            [jar]
[INFO] Flink : Formats :                                                  [pom]
[INFO] Flink : Format : Common                                            [jar]
[INFO] Flink : Formats : Csv                                              [jar]
[INFO] Flink : Formats : Hadoop bulk                                      [jar]
[INFO] Flink : Formats : Orc                                              [jar]
[INFO] Flink : Formats : Orc nohive                                       [jar]
[INFO] Flink : Formats : Avro                                             [jar]
[INFO] Flink : Formats : Parquet                                          [jar]
[INFO] Flink : Connectors : Hive                                          [jar]
[INFO] Flink : Python                                                     [jar]
[INFO] Flink : Table : SQL Client                                         [jar]
[INFO] Flink : Connectors : AWS Base                                      [jar]
[INFO] Flink : Connectors : Cassandra                                     [jar]
[INFO] Flink : Formats : Json                                             [jar]
[INFO] Flink : Connectors : Elasticsearch base                            [jar]
[INFO] Flink : Connectors : Elasticsearch 6                               [jar]
[INFO] Flink : Connectors : Elasticsearch 7                               [jar]
[INFO] Flink : Connectors : Google PubSub                                 [jar]
[INFO] Flink : Connectors : HBase base                                    [jar]
[INFO] Flink : Connectors : HBase 1.4                                     [jar]
[INFO] Flink : Connectors : HBase 2.2                                     [jar]
[INFO] Flink : Connectors : JDBC                                          [jar]
[INFO] Flink : Metrics : JMX                                              [jar]
[INFO] Flink : Formats : Avro confluent registry                          [jar]
[INFO] Flink : Connectors : Kafka                                         [jar]
[INFO] Flink : Connectors : Amazon Kinesis Data Streams                   [jar]
[INFO] Flink : Connectors : Kinesis                                       [jar]
[INFO] Flink : Connectors : Nifi                                          [jar]
[INFO] Flink : Connectors : Pulsar                                        [jar]
[INFO] Flink : Connectors : RabbitMQ                                      [jar]
[INFO] Flink : Architecture Tests : Production                            [jar]
[INFO] Flink : FileSystems : Hadoop FS shaded                             [jar]
[INFO] Flink : FileSystems : S3 FS Base                                   [jar]
[INFO] Flink : FileSystems : S3 FS Hadoop                                 [jar]
[INFO] Flink : FileSystems : S3 FS Presto                                 [jar]
[INFO] Flink : FileSystems : OSS FS                                       [jar]
[INFO] Flink : FileSystems : Azure FS Hadoop                              [jar]
[INFO] Flink : FileSystems : Google Storage FS Hadoop                     [jar]
[INFO] Flink : Runtime web                                                [jar]
[INFO] Flink : Connectors : HCatalog                                      [jar]
[INFO] Flink : Connectors : Amazon Kinesis Data Firehose                  [jar]
[INFO] Flink : Connectors : SQL : Elasticsearch 6                         [jar]
[INFO] Flink : Connectors : SQL : Elasticsearch 7                         [jar]
[INFO] Flink : Connectors : SQL : HBase 1.4                               [jar]
[INFO] Flink : Connectors : SQL : HBase 2.2                               [jar]
[INFO] Flink : Connectors : SQL : Hive 1.2.2                              [jar]
[INFO] Flink : Connectors : SQL : Hive 2.2.0                              [jar]
[INFO] Flink : Connectors : SQL : Hive 2.3.6                              [jar]
[INFO] Flink : Connectors : SQL : Hive 3.1.2                              [jar]
[INFO] Flink : Connectors : SQL : Kafka                                   [jar]
[INFO] Flink : Connectors : SQL : Amazon Kinesis Data Streams             [jar]
[INFO] Flink : Connectors : SQL : Amazon Kinesis Data Firehose            [jar]
[INFO] Flink : Connectors : SQL : Kinesis                                 [jar]
[INFO] Flink : Connectors : SQL : Pulsar                                  [jar]
[INFO] Flink : Connectors : SQL : RabbitMQ                                [jar]
[INFO] Flink : Formats : Sequence file                                    [jar]
[INFO] Flink : Formats : Compress                                         [jar]
[INFO] Flink : Formats : Avro AWS Glue Schema Registry                    [jar]
[INFO] Flink : Formats : JSON AWS Glue Schema Registry                    [jar]
[INFO] Flink : Formats : SQL Orc                                          [jar]
[INFO] Flink : Formats : SQL Parquet                                      [jar]
[INFO] Flink : Formats : SQL Avro                                         [jar]
[INFO] Flink : Formats : SQL Avro Confluent Registry                      [jar]
[INFO] Flink : Examples : Streaming                                       [jar]
[INFO] Flink : Examples : Table                                           [jar]
[INFO] Flink : Examples : Build Helper :                                  [pom]
[INFO] Flink : Examples : Build Helper : Streaming State machine          [jar]
[INFO] Flink : Examples : Build Helper : Streaming Google PubSub          [jar]
[INFO] Flink : Container                                                  [jar]
[INFO] Flink : Queryable state : Runtime                                  [jar]
[INFO] Flink : Dist-Scala                                                 [jar]
[INFO] Flink : Kubernetes                                                 [jar]
[INFO] Flink : Yarn                                                       [jar]
[INFO] Flink : Table : API Java Uber                                      [jar]
[INFO] Flink : Table : Planner Loader Bundle                              [jar]
[INFO] Flink : Table : Planner Loader                                     [jar]
[INFO] Flink : Libraries : Gelly                                          [jar]
[INFO] Flink : Libraries : Gelly scala                                    [jar]
[INFO] Flink : Libraries : Gelly Examples                                 [jar]
[INFO] Flink : External resources :                                       [pom]
[INFO] Flink : External resources : GPU                                   [jar]
[INFO] Flink : Metrics : Dropwizard                                       [jar]
[INFO] Flink : Metrics : Graphite                                         [jar]
[INFO] Flink : Metrics : InfluxDB                                         [jar]
[INFO] Flink : Metrics : Prometheus                                       [jar]
[INFO] Flink : Metrics : StatsD                                           [jar]
[INFO] Flink : Metrics : Datadog                                          [jar]
[INFO] Flink : Metrics : Slf4j                                            [jar]
[INFO] Flink : Libraries : CEP Scala                                      [jar]
[INFO] Flink : Libraries : State processor API                            [jar]
[INFO] Flink : Dist                                                       [jar]
[INFO] Flink : Yarn Tests                                                 [jar]
[INFO] Flink : E2E Tests :                                                [pom]
[INFO] Flink : E2E Tests : CLI                                            [jar]
[INFO] Flink : E2E Tests : Parent Child classloading program              [jar]
[INFO] Flink : E2E Tests : Parent Child classloading lib-package          [jar]
[INFO] Flink : E2E Tests : Dataset allround                               [jar]
[INFO] Flink : E2E Tests : Dataset Fine-grained recovery                  [jar]
[INFO] Flink : E2E Tests : Datastream allround                            [jar]
[INFO] Flink : E2E Tests : Batch SQL                                      [jar]
[INFO] Flink : E2E Tests : Stream SQL                                     [jar]
[INFO] Flink : E2E Tests : Distributed cache via blob                     [jar]
[INFO] Flink : E2E Tests : High parallelism iterations                    [jar]
[INFO] Flink : E2E Tests : Stream stateful job upgrade                    [jar]
[INFO] Flink : E2E Tests : Queryable state                                [jar]
[INFO] Flink : E2E Tests : Local recovery and allocation                  [jar]
[INFO] Flink : E2E Tests : Elasticsearch 6                                [jar]
[INFO] Flink : Quickstart :                                               [pom]
[INFO] Flink : Quickstart : Java                              [maven-archetype]
[INFO] Flink : Quickstart : Scala                             [maven-archetype]
[INFO] Flink : E2E Tests : Quickstart                                     [jar]
[INFO] Flink : E2E Tests : Confluent schema registry                      [jar]
[INFO] Flink : E2E Tests : Stream state TTL                               [jar]
[INFO] Flink : E2E Tests : SQL client                                     [jar]
[INFO] Flink : E2E Tests : File sink                                      [jar]
[INFO] Flink : E2E Tests : State evolution                                [jar]
[INFO] Flink : E2E Tests : RocksDB state memory control                   [jar]
[INFO] Flink : E2E Tests : Common                                         [jar]
[INFO] Flink : E2E Tests : Metrics availability                           [jar]
[INFO] Flink : E2E Tests : Metrics reporter prometheus                    [jar]
[INFO] Flink : E2E Tests : Heavy deployment                               [jar]
[INFO] Flink : E2E Tests : Connectors : Google PubSub                     [jar]
[INFO] Flink : E2E Tests : Streaming Kafka base                           [jar]
[INFO] Flink : E2E Tests : Streaming Kafka                                [jar]
[INFO] Flink : E2E Tests : Plugins :                                      [pom]
[INFO] Flink : E2E Tests : Plugins : Dummy fs                             [jar]
[INFO] Flink : E2E Tests : Plugins : Another dummy fs                     [jar]
[INFO] Flink : E2E Tests : TPCH                                           [jar]
[INFO] Flink : E2E Tests : Streaming Kinesis                              [jar]
[INFO] Flink : E2E Tests : Elasticsearch 7                                [jar]
[INFO] Flink : E2E Tests : Common Kafka                                   [jar]
[INFO] Flink : E2E Tests : TPCDS                                          [jar]
[INFO] Flink : E2E Tests : Netty shuffle memory control                   [jar]
[INFO] Flink : E2E Tests : Python                                         [jar]
[INFO] Flink : E2E Tests : HBase                                          [jar]
[INFO] Flink : E2E Tests : Pulsar                                         [jar]
[INFO] Flink : E2E Tests : Avro AWS Glue Schema Registry                  [jar]
[INFO] Flink : E2E Tests : JSON AWS Glue Schema Registry                  [jar]
[INFO] Flink : E2E Tests : Scala                                          [jar]
[INFO] Flink : E2E Tests : Kinesis SQL tests                              [jar]
[INFO] Flink : E2E Tests : Kinesis Firehose SQL tests                     [jar]
[INFO] Flink : E2E Tests : SQL                                            [jar]
[INFO] Flink : State backends : Heap spillable                            [jar]
[INFO] Flink : Table : Test Utils                                         [jar]
[INFO] Flink : Contrib :                                                  [pom]
[INFO] Flink : Contrib : Connectors : Wikiedits                           [jar]
[INFO] Flink : FileSystems : Tests                                        [jar]
[INFO] Flink : Docs                                                       [jar]
[INFO] Flink : Walkthrough :                                              [pom]
[INFO] Flink : Walkthrough : Common                                       [jar]
[INFO] Flink : Walkthrough : Datastream Java                  [maven-archetype]
[INFO] Flink : Walkthrough : Datastream Scala                 [maven-archetype]
[INFO] Flink : Tools : CI : Java                                          [jar]
[INFO] 
[INFO] -------------------< org.apache.flink:flink-parent >--------------------

[INFO] Flink : ............................................ SUCCESS [  4.064 s]
[INFO] Flink : Annotations ................................ SUCCESS [  6.429 s]
[INFO] Flink : Architecture Tests ......................... SUCCESS [  0.333 s]
[INFO] Flink : Architecture Tests : Base .................. SUCCESS [  1.564 s]
[INFO] Flink : Test utils : ............................... SUCCESS [  0.271 s]
[INFO] Flink : Test utils : Junit ......................... SUCCESS [  4.591 s]
[INFO] Flink : Metrics : .................................. SUCCESS [  0.271 s]
[INFO] Flink : Metrics : Core ............................. SUCCESS [  2.729 s]
[INFO] Flink : Core ....................................... SUCCESS [ 58.288 s]
[INFO] Flink : Table : .................................... SUCCESS [  0.241 s]
[INFO] Flink : Table : Common ............................. SUCCESS [ 18.151 s]
[INFO] Flink : Table : API Java ........................... SUCCESS [  8.986 s]
[INFO] Flink : Java ....................................... SUCCESS [ 11.097 s]
[INFO] Flink : Connectors : ............................... SUCCESS [  0.222 s]
[INFO] Flink : Connectors : File Sink Common .............. SUCCESS [  1.121 s]
[INFO] Flink : RPC : ...................................... SUCCESS [  0.306 s]
[INFO] Flink : RPC : Core ................................. SUCCESS [  1.293 s]
[INFO] Flink : RPC : Akka ................................. SUCCESS [ 16.250 s]
[INFO] Flink : RPC : Akka-Loader .......................... SUCCESS [  4.921 s]
[INFO] Flink : Queryable state : .......................... SUCCESS [  0.227 s]
[INFO] Flink : Queryable state : Client Java .............. SUCCESS [  1.497 s]
[INFO] Flink : FileSystems : .............................. SUCCESS [  0.189 s]
[INFO] Flink : FileSystems : Hadoop FS .................... SUCCESS [  6.945 s]
[INFO] Flink : Runtime .................................... SUCCESS [01:38 min]
[INFO] Flink : Streaming Java ............................. SUCCESS [ 30.549 s]
[INFO] Flink : Table : API bridge base .................... SUCCESS [  0.893 s]
[INFO] Flink : Table : API Java bridge .................... SUCCESS [  2.253 s]
[INFO] Flink : Table : Code Splitter ...................... SUCCESS [  4.346 s]
[INFO] Flink : Optimizer .................................. SUCCESS [  8.160 s]
[INFO] Flink : Clients .................................... SUCCESS [  4.826 s]
[INFO] Flink : DSTL ....................................... SUCCESS [  0.247 s]
[INFO] Flink : DSTL : DFS ................................. SUCCESS [  1.941 s]
[INFO] Flink : State backends : ........................... SUCCESS [  0.202 s]
[INFO] Flink : State backends : RocksDB ................... SUCCESS [  4.197 s]
[INFO] Flink : State backends : Changelog ................. SUCCESS [  1.939 s]
[INFO] Flink : Test utils : Utils ......................... SUCCESS [  3.685 s]
[INFO] Flink : Libraries : ................................ SUCCESS [  0.208 s]
[INFO] Flink : Libraries : CEP ............................ SUCCESS [  6.168 s]
[INFO] Flink : Table : Runtime ............................ SUCCESS [ 16.743 s]
[INFO] Flink : Scala ...................................... SUCCESS [01:28 min]
[INFO] Flink : Table : SQL Parser ......................... SUCCESS [ 10.096 s]
[INFO] Flink : Table : SQL Parser Hive .................... SUCCESS [  7.248 s]
[INFO] Flink : Table : API Scala .......................... SUCCESS [ 22.686 s]
[INFO] Flink : Test utils : Connectors .................... SUCCESS [  2.327 s]
[INFO] Flink : Architecture Tests : Test .................. SUCCESS [  1.135 s]
[INFO] Flink : Connectors : Base .......................... SUCCESS [  3.811 s]
[INFO] Flink : Connectors : Files ......................... SUCCESS [  5.432 s]
[INFO] Flink : Examples : ................................. SUCCESS [  0.301 s]
[INFO] Flink : Examples : Batch ........................... SUCCESS [ 22.082 s]
[INFO] Flink : Connectors : Hadoop compatibility .......... SUCCESS [ 12.312 s]
[INFO] Flink : Tests ...................................... SUCCESS [01:11 min]
[INFO] Flink : Streaming Scala ............................ SUCCESS [01:03 min]
[INFO] Flink : Table : API Scala bridge ................... SUCCESS [ 21.680 s]
[INFO] Flink : Table : Planner ............................ SUCCESS [07:30 min]  8分钟
[INFO] Flink : Formats : .................................. SUCCESS [  0.258 s]
[INFO] Flink : Format : Common ............................ SUCCESS [  0.341 s]
[INFO] Flink : Formats : Csv .............................. SUCCESS [  2.072 s]
[INFO] Flink : Formats : Hadoop bulk ...................... SUCCESS [  2.403 s]
[INFO] Flink : Formats : Orc .............................. SUCCESS [  3.152 s]
[INFO] Flink : Formats : Orc nohive ....................... SUCCESS [  2.388 s]
[INFO] Flink : Formats : Avro ............................. SUCCESS [  6.456 s]
[INFO] Flink : Formats : Parquet .......................... SUCCESS [ 15.684 s]
[INFO] Flink : Connectors : Hive .......................... SUCCESS [ 34.813 s]
[INFO] Flink : Python ..................................... SUCCESS [01:08 min]
[INFO] Flink : Table : SQL Client ......................... SUCCESS [  4.035 s]
[INFO] Flink : Connectors : AWS Base ...................... SUCCESS [  2.094 s]
[INFO] Flink : Connectors : Cassandra ..................... SUCCESS [  7.046 s]
[INFO] Flink : Formats : Json ............................. SUCCESS [  2.567 s]
[INFO] Flink : Connectors : Elasticsearch base ............ SUCCESS [  3.339 s]
[INFO] Flink : Connectors : Elasticsearch 6 ............... SUCCESS [  2.120 s]
[INFO] Flink : Connectors : Elasticsearch 7 ............... SUCCESS [  2.034 s]
[INFO] Flink : Connectors : Google PubSub ................. SUCCESS [  1.555 s]
[INFO] Flink : Connectors : HBase base .................... SUCCESS [  1.983 s]
[INFO] Flink : Connectors : HBase 1.4 ..................... SUCCESS [  6.194 s]
[INFO] Flink : Connectors : HBase 2.2 ..................... SUCCESS [  5.611 s]
[INFO] Flink : Connectors : JDBC .......................... SUCCESS [  5.551 s]
[INFO] Flink : Metrics : JMX .............................. SUCCESS [  0.784 s]
[INFO] Flink : Formats : Avro confluent registry .......... SUCCESS [  1.002 s]
[INFO] Flink : Connectors : Kafka ......................... SUCCESS [ 15.116 s]
[INFO] Flink : Connectors : Amazon Kinesis Data Streams ... SUCCESS [  3.460 s]
[INFO] Flink : Connectors : Kinesis ....................... SUCCESS [ 39.773 s]
[INFO] Flink : Connectors : Nifi .......................... SUCCESS [  1.233 s]
[INFO] Flink : Connectors : Pulsar ........................ SUCCESS [ 18.759 s]
[INFO] Flink : Connectors : RabbitMQ ...................... SUCCESS [  1.263 s]
[INFO] Flink : Architecture Tests : Production ............ SUCCESS [  2.390 s]
[INFO] Flink : FileSystems : Hadoop FS shaded ............. SUCCESS [  6.516 s]
[INFO] Flink : FileSystems : S3 FS Base ................... SUCCESS [  1.879 s]
[INFO] Flink : FileSystems : S3 FS Hadoop ................. SUCCESS [ 12.980 s]
[INFO] Flink : FileSystems : S3 FS Presto ................. SUCCESS [01:35 min]
[INFO] Flink : FileSystems : OSS FS ....................... SUCCESS [ 27.004 s]
[INFO] Flink : FileSystems : Azure FS Hadoop .............. SUCCESS [ 33.770 s]
[INFO] Flink : FileSystems : Google Storage FS Hadoop ..... SUCCESS [ 40.728 s]


[INFO] Flink : Runtime web ................................ SUCCESS [01:53 min]  编译常出错的地儿
[INFO] Flink : Connectors : HCatalog ...................... SUCCESS [ 25.040 s]
[INFO] Flink : Connectors : Amazon Kinesis Data Firehose .. SUCCESS [  7.678 s]
[INFO] Flink : Connectors : SQL : Elasticsearch 6 ......... SUCCESS [ 18.119 s]
[INFO] Flink : Connectors : SQL : Elasticsearch 7 ......... SUCCESS [ 16.245 s]
[INFO] Flink : Connectors : SQL : HBase 1.4 ............... SUCCESS [ 12.682 s]
[INFO] Flink : Connectors : SQL : HBase 2.2 ............... SUCCESS [ 24.552 s]
[INFO] Flink : Connectors : SQL : Hive 1.2.2 .............. SUCCESS [ 25.486 s]
[INFO] Flink : Connectors : SQL : Hive 2.2.0 .............. SUCCESS [ 23.168 s]
[INFO] Flink : Connectors : SQL : Hive 2.3.6 .............. SUCCESS [ 20.671 s]
[INFO] Flink : Connectors : SQL : Hive 3.1.2 .............. SUCCESS [ 28.815 s]
[INFO] Flink : Connectors : SQL : Kafka ................... SUCCESS [  3.212 s]
[INFO] Flink : Connectors : SQL : Amazon Kinesis Data Streams SUCCESS [  5.737 s]
[INFO] Flink : Connectors : SQL : Amazon Kinesis Data Firehose SUCCESS [  6.406 s]
[INFO] Flink : Connectors : SQL : Kinesis ................. SUCCESS [ 15.596 s]
[INFO] Flink : Connectors : SQL : Pulsar .................. SUCCESS [  8.630 s]
[INFO] Flink : Connectors : SQL : RabbitMQ ................ SUCCESS [  1.694 s]
[INFO] Flink : Formats : Sequence file .................... SUCCESS [  3.445 s]
[INFO] Flink : Formats : Compress ......................... SUCCESS [  3.588 s]
[INFO] Flink : Formats : Avro AWS Glue Schema Registry .... SUCCESS [ 10.882 s]
[INFO] Flink : Formats : JSON AWS Glue Schema Registry .... SUCCESS [  6.255 s]
[INFO] Flink : Formats : SQL Orc .......................... SUCCESS [  1.724 s]
[INFO] Flink : Formats : SQL Parquet ...................... SUCCESS [  3.187 s]
[INFO] Flink : Formats : SQL Avro ......................... SUCCESS [  3.286 s]
[INFO] Flink : Formats : SQL Avro Confluent Registry ...... SUCCESS [  3.646 s]
[INFO] Flink : Examples : Streaming ....................... SUCCESS [ 37.441 s]
[INFO] Flink : Examples : Table ........................... SUCCESS [ 21.271 s]
[INFO] Flink : Examples : Build Helper : .................. SUCCESS [  1.212 s]
[INFO] Flink : Examples : Build Helper : Streaming State machine SUCCESS [  3.890 s]
[INFO] Flink : Examples : Build Helper : Streaming Google PubSub SUCCESS [ 11.414 s]
[INFO] Flink : Container .................................. SUCCESS [  2.133 s]
[INFO] Flink : Queryable state : Runtime .................. SUCCESS [  4.881 s]
[INFO] Flink : Dist-Scala ................................. SUCCESS [  4.323 s]
[INFO] Flink : Kubernetes ................................. SUCCESS [ 24.012 s]
[INFO] Flink : Yarn ....................................... SUCCESS [ 15.309 s]
[INFO] Flink : Table : API Java Uber ...................... SUCCESS [  7.425 s]
[INFO] Flink : Table : Planner Loader Bundle .............. SUCCESS [  8.391 s]
[INFO] Flink : Table : Planner Loader ..................... SUCCESS [  9.858 s]
[INFO] Flink : Libraries : Gelly .......................... SUCCESS [ 18.030 s]
[INFO] Flink : Libraries : Gelly scala .................... SUCCESS [ 43.604 s]
[INFO] Flink : Libraries : Gelly Examples ................. SUCCESS [ 28.281 s]
[INFO] Flink : External resources : ....................... SUCCESS [  0.674 s]
[INFO] Flink : External resources : GPU ................... SUCCESS [  1.818 s]
[INFO] Flink : Metrics : Dropwizard ....................... SUCCESS [  1.815 s]
[INFO] Flink : Metrics : Graphite ......................... SUCCESS [  1.660 s]
[INFO] Flink : Metrics : InfluxDB ......................... SUCCESS [  3.359 s]
[INFO] Flink : Metrics : Prometheus ....................... SUCCESS [  2.531 s]
[INFO] Flink : Metrics : StatsD ........................... SUCCESS [  1.492 s]
[INFO] Flink : Metrics : Datadog .......................... SUCCESS [  2.686 s]
[INFO] Flink : Metrics : Slf4j ............................ SUCCESS [  1.298 s]
[INFO] Flink : Libraries : CEP Scala ...................... SUCCESS [ 29.310 s]
[INFO] Flink : Libraries : State processor API ............ SUCCESS [  7.720 s]
[INFO] Flink : Dist ....................................... SUCCESS [ 34.103 s]
[INFO] Flink : Yarn Tests ................................. SUCCESS [ 16.673 s]
[INFO] Flink : E2E Tests : ................................ SUCCESS [  0.682 s]
[INFO] Flink : E2E Tests : CLI ............................ SUCCESS [  2.041 s]
[INFO] Flink : E2E Tests : Parent Child classloading program SUCCESS [  2.058 s]
[INFO] Flink : E2E Tests : Parent Child classloading lib-package SUCCESS [  1.393 s]
[INFO] Flink : E2E Tests : Dataset allround ............... SUCCESS [  1.368 s]
[INFO] Flink : E2E Tests : Dataset Fine-grained recovery .. SUCCESS [  1.900 s]
[INFO] Flink : E2E Tests : Datastream allround ............ SUCCESS [  5.782 s]
[INFO] Flink : E2E Tests : Batch SQL ...................... SUCCESS [  1.579 s]
[INFO] Flink : E2E Tests : Stream SQL ..................... SUCCESS [  1.804 s]
[INFO] Flink : E2E Tests : Distributed cache via blob ..... SUCCESS [  2.322 s]
[INFO] Flink : E2E Tests : High parallelism iterations .... SUCCESS [ 12.869 s]
[INFO] Flink : E2E Tests : Stream stateful job upgrade .... SUCCESS [  3.227 s]
[INFO] Flink : E2E Tests : Queryable state ................ SUCCESS [  5.336 s]
[INFO] Flink : E2E Tests : Local recovery and allocation .. SUCCESS [  1.871 s]
[INFO] Flink : E2E Tests : Elasticsearch 6 ................ SUCCESS [  8.550 s]
[INFO] Flink : Quickstart : ............................... SUCCESS [  3.347 s]
[INFO] Flink : Quickstart : Java .......................... SUCCESS [  2.686 s]
[INFO] Flink : Quickstart : Scala ......................... SUCCESS [  1.510 s]
[INFO] Flink : E2E Tests : Quickstart ..................... SUCCESS [  2.555 s]
[INFO] Flink : E2E Tests : Confluent schema registry ...... SUCCESS [  5.685 s]
[INFO] Flink : E2E Tests : Stream state TTL ............... SUCCESS [ 11.581 s]
[INFO] Flink : E2E Tests : SQL client ..................... SUCCESS [  3.902 s]
[INFO] Flink : E2E Tests : File sink ...................... SUCCESS [  1.857 s]
[INFO] Flink : E2E Tests : State evolution ................ SUCCESS [  3.031 s]
[INFO] Flink : E2E Tests : RocksDB state memory control ... SUCCESS [  3.005 s]
[INFO] Flink : E2E Tests : Common ......................... SUCCESS [  5.961 s]
[INFO] Flink : E2E Tests : Metrics availability ........... SUCCESS [  1.442 s]
[INFO] Flink : E2E Tests : Metrics reporter prometheus .... SUCCESS [  1.308 s]
[INFO] Flink : E2E Tests : Heavy deployment ............... SUCCESS [ 16.170 s]
[INFO] Flink : E2E Tests : Connectors : Google PubSub ..... SUCCESS [  3.637 s]
[INFO] Flink : E2E Tests : Streaming Kafka base ........... SUCCESS [  2.733 s]
[INFO] Flink : E2E Tests : Streaming Kafka ................ SUCCESS [ 14.646 s]
[INFO] Flink : E2E Tests : Plugins : ...................... SUCCESS [  0.571 s]
[INFO] Flink : E2E Tests : Plugins : Dummy fs ............. SUCCESS [  1.221 s]
[INFO] Flink : E2E Tests : Plugins : Another dummy fs ..... SUCCESS [  1.397 s]
[INFO] Flink : E2E Tests : TPCH ........................... SUCCESS [  4.258 s]
[INFO] Flink : E2E Tests : Streaming Kinesis .............. SUCCESS [ 39.958 s]
[INFO] Flink : E2E Tests : Elasticsearch 7 ................ SUCCESS [  7.996 s]
[INFO] Flink : E2E Tests : Common Kafka ................... SUCCESS [  6.187 s]
[INFO] Flink : E2E Tests : TPCDS .......................... SUCCESS [  6.090 s]
[INFO] Flink : E2E Tests : Netty shuffle memory control ... SUCCESS [  1.916 s]
[INFO] Flink : E2E Tests : Python ......................... SUCCESS [  7.097 s]
[INFO] Flink : E2E Tests : HBase .......................... SUCCESS [  8.455 s]
[INFO] Flink : E2E Tests : Pulsar ......................... SUCCESS [  6.309 s]
[INFO] Flink : E2E Tests : Avro AWS Glue Schema Registry .. SUCCESS [  5.409 s]
[INFO] Flink : E2E Tests : JSON AWS Glue Schema Registry .. SUCCESS [  7.582 s]
[INFO] Flink : E2E Tests : Scala .......................... SUCCESS [ 17.373 s]
[INFO] Flink : E2E Tests : Kinesis SQL tests .............. SUCCESS [  2.019 s]
[INFO] Flink : E2E Tests : Kinesis Firehose SQL tests ..... SUCCESS [  2.118 s]
[INFO] Flink : E2E Tests : SQL ............................ SUCCESS [  3.836 s]
[INFO] Flink : State backends : Heap spillable ............ SUCCESS [  3.277 s]
[INFO] Flink : Table : Test Utils ......................... SUCCESS [  4.389 s]
[INFO] Flink : Contrib : .................................. SUCCESS [  0.957 s]
[INFO] Flink : Contrib : Connectors : Wikiedits ........... SUCCESS [  3.463 s]
[INFO] Flink : FileSystems : Tests ........................ SUCCESS [  3.867 s]
[INFO] Flink : Docs ....................................... SUCCESS [ 12.552 s]
[INFO] Flink : Walkthrough : .............................. SUCCESS [  1.111 s]
[INFO] Flink : Walkthrough : Common ....................... SUCCESS [  5.820 s]
[INFO] Flink : Walkthrough : Datastream Java .............. SUCCESS [  1.744 s]
[INFO] Flink : Walkthrough : Datastream Scala ............. SUCCESS [  1.685 s]
[INFO] Flink : Tools : CI : Java .......................... SUCCESS [  2.370 s]


[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary for Flink : 1.15.3:
[INFO] 
[INFO] Flink : ............................................ SUCCESS [  7.995 s]
[INFO] Flink : Annotations ................................ SUCCESS [  8.043 s]
[INFO] Flink : Architecture Tests ......................... SUCCESS [  0.385 s]
[INFO] Flink : Architecture Tests : Base .................. SUCCESS [  1.766 s]
[INFO] Flink : Test utils : ............................... SUCCESS [  0.265 s]
[INFO] Flink : Test utils : Junit ......................... SUCCESS [  7.279 s]
[INFO] Flink : Metrics : .................................. SUCCESS [  0.262 s]
[INFO] Flink : Metrics : Core ............................. SUCCESS [  3.096 s]
[INFO] Flink : Core ....................................... SUCCESS [ 59.517 s]
[INFO] Flink : Table : .................................... SUCCESS [  0.241 s]
[INFO] Flink : Table : Common ............................. SUCCESS [ 18.535 s]
[INFO] Flink : Table : API Java ........................... SUCCESS [  8.766 s]
[INFO] Flink : Java ....................................... SUCCESS [ 10.929 s]
[INFO] Flink : Connectors : ............................... SUCCESS [  0.243 s]
[INFO] Flink : Connectors : File Sink Common .............. SUCCESS [  1.152 s]
[INFO] Flink : RPC : ...................................... SUCCESS [  0.322 s]
[INFO] Flink : RPC : Core ................................. SUCCESS [  1.329 s]
[INFO] Flink : RPC : Akka ................................. SUCCESS [ 17.470 s]
[INFO] Flink : RPC : Akka-Loader .......................... SUCCESS [  5.843 s]
[INFO] Flink : Queryable state : .......................... SUCCESS [  0.191 s]
[INFO] Flink : Queryable state : Client Java .............. SUCCESS [  1.487 s]
[INFO] Flink : FileSystems : .............................. SUCCESS [  0.273 s]
[INFO] Flink : FileSystems : Hadoop FS .................... SUCCESS [  7.420 s]
[INFO] Flink : Runtime .................................... SUCCESS [01:57 min]
[INFO] Flink : Streaming Java ............................. SUCCESS [ 33.004 s]
[INFO] Flink : Table : API bridge base .................... SUCCESS [  1.097 s]
[INFO] Flink : Table : API Java bridge .................... SUCCESS [  2.483 s]
[INFO] Flink : Table : Code Splitter ...................... SUCCESS [  4.870 s]
[INFO] Flink : Optimizer .................................. SUCCESS [ 10.957 s]
[INFO] Flink : Clients .................................... SUCCESS [  7.801 s]
[INFO] Flink : DSTL ....................................... SUCCESS [  0.325 s]
[INFO] Flink : DSTL : DFS ................................. SUCCESS [  2.526 s]
[INFO] Flink : State backends : ........................... SUCCESS [  0.458 s]
[INFO] Flink : State backends : RocksDB ................... SUCCESS [  7.054 s]
[INFO] Flink : State backends : Changelog ................. SUCCESS [  2.164 s]
[INFO] Flink : Test utils : Utils ......................... SUCCESS [  4.810 s]
[INFO] Flink : Libraries : ................................ SUCCESS [  0.210 s]
[INFO] Flink : Libraries : CEP ............................ SUCCESS [  5.664 s]
[INFO] Flink : Table : Runtime ............................ SUCCESS [ 16.529 s]
[INFO] Flink : Scala ...................................... SUCCESS [01:32 min]
[INFO] Flink : Table : SQL Parser ......................... SUCCESS [  9.768 s]
[INFO] Flink : Table : SQL Parser Hive .................... SUCCESS [  6.073 s]
[INFO] Flink : Table : API Scala .......................... SUCCESS [ 22.689 s]
[INFO] Flink : Test utils : Connectors .................... SUCCESS [  2.072 s]
[INFO] Flink : Architecture Tests : Test .................. SUCCESS [  1.176 s]
[INFO] Flink : Connectors : Base .......................... SUCCESS [  3.125 s]
[INFO] Flink : Connectors : Files ......................... SUCCESS [  5.213 s]
[INFO] Flink : Examples : ................................. SUCCESS [  0.302 s]
[INFO] Flink : Examples : Batch ........................... SUCCESS [ 21.655 s]
[INFO] Flink : Connectors : Hadoop compatibility .......... SUCCESS [ 11.743 s]
[INFO] Flink : Tests ...................................... SUCCESS [01:11 min]
[INFO] Flink : Streaming Scala ............................ SUCCESS [01:00 min]
[INFO] Flink : Table : API Scala bridge ................... SUCCESS [ 19.945 s]
[INFO] Flink : Table : Planner ............................ SUCCESS [05:36 min]
[INFO] Flink : Formats : .................................. SUCCESS [  0.134 s]
[INFO] Flink : Format : Common ............................ SUCCESS [  0.343 s]
[INFO] Flink : Formats : Csv .............................. SUCCESS [  1.905 s]
[INFO] Flink : Formats : Hadoop bulk ...................... SUCCESS [  2.757 s]
[INFO] Flink : Formats : Orc .............................. SUCCESS [  2.996 s]
[INFO] Flink : Formats : Orc nohive ....................... SUCCESS [  2.281 s]
[INFO] Flink : Formats : Avro ............................. SUCCESS [  6.245 s]
[INFO] Flink : Formats : Parquet .......................... SUCCESS [ 16.343 s]
[INFO] Flink : Connectors : Hive .......................... SUCCESS [ 33.385 s]
[INFO] Flink : Python ..................................... SUCCESS [01:00 min]
[INFO] Flink : Table : SQL Client ......................... SUCCESS [  4.377 s]
[INFO] Flink : Connectors : AWS Base ...................... SUCCESS [  1.983 s]
[INFO] Flink : Connectors : Cassandra ..................... SUCCESS [  6.715 s]
[INFO] Flink : Formats : Json ............................. SUCCESS [  2.139 s]
[INFO] Flink : Connectors : Elasticsearch base ............ SUCCESS [  3.682 s]
[INFO] Flink : Connectors : Elasticsearch 6 ............... SUCCESS [  3.211 s]
[INFO] Flink : Connectors : Elasticsearch 7 ............... SUCCESS [  1.792 s]
[INFO] Flink : Connectors : Google PubSub ................. SUCCESS [  1.583 s]
[INFO] Flink : Connectors : HBase base .................... SUCCESS [  2.133 s]
[INFO] Flink : Connectors : HBase 1.4 ..................... SUCCESS [  6.742 s]
[INFO] Flink : Connectors : HBase 2.2 ..................... SUCCESS [  5.883 s]
[INFO] Flink : Connectors : JDBC .......................... SUCCESS [  4.605 s]
[INFO] Flink : Metrics : JMX .............................. SUCCESS [  0.625 s]
[INFO] Flink : Formats : Avro confluent registry .......... SUCCESS [  1.078 s]
[INFO] Flink : Connectors : Kafka ......................... SUCCESS [  7.781 s]
[INFO] Flink : Connectors : Amazon Kinesis Data Streams ... SUCCESS [  1.645 s]
[INFO] Flink : Connectors : Kinesis ....................... SUCCESS [ 28.342 s]
[INFO] Flink : Connectors : Nifi .......................... SUCCESS [  1.144 s]
[INFO] Flink : Connectors : Pulsar ........................ SUCCESS [ 19.607 s]
[INFO] Flink : Connectors : RabbitMQ ...................... SUCCESS [  1.307 s]
[INFO] Flink : Architecture Tests : Production ............ SUCCESS [  2.979 s]
[INFO] Flink : FileSystems : Hadoop FS shaded ............. SUCCESS [  6.329 s]
[INFO] Flink : FileSystems : S3 FS Base ................... SUCCESS [  2.042 s]
[INFO] Flink : FileSystems : S3 FS Hadoop ................. SUCCESS [ 13.426 s]
[INFO] Flink : FileSystems : S3 FS Presto ................. SUCCESS [01:31 min]
[INFO] Flink : FileSystems : OSS FS ....................... SUCCESS [ 21.164 s]
[INFO] Flink : FileSystems : Azure FS Hadoop .............. SUCCESS [ 30.780 s]
[INFO] Flink : FileSystems : Google Storage FS Hadoop ..... SUCCESS [ 33.817 s]
[INFO] Flink : Runtime web ................................ FAILURE [  7.514 s]
[INFO] Flink : Connectors : HCatalog ...................... SKIPPED
[INFO] Flink : Connectors : Amazon Kinesis Data Firehose .. SKIPPED
[INFO] Flink : Connectors : SQL : Elasticsearch 6 ......... SKIPPED
[INFO] Flink : Connectors : SQL : Elasticsearch 7 ......... SKIPPED
[INFO] Flink : Connectors : SQL : HBase 1.4 ............... SKIPPED
[INFO] Flink : Connectors : SQL : HBase 2.2 ............... SKIPPED
[INFO] Flink : Connectors : SQL : Hive 1.2.2 .............. SKIPPED
[INFO] Flink : Connectors : SQL : Hive 2.2.0 .............. SKIPPED
[INFO] Flink : Connectors : SQL : Hive 2.3.6 .............. SKIPPED
[INFO] Flink : Connectors : SQL : Hive 3.1.2 .............. SKIPPED
[INFO] Flink : Connectors : SQL : Kafka ................... SKIPPED
[INFO] Flink : Connectors : SQL : Amazon Kinesis Data Streams SKIPPED
[INFO] Flink : Connectors : SQL : Amazon Kinesis Data Firehose SKIPPED
[INFO] Flink : Connectors : SQL : Kinesis ................. SKIPPED
[INFO] Flink : Connectors : SQL : Pulsar .................. SKIPPED
[INFO] Flink : Connectors : SQL : RabbitMQ ................ SKIPPED
[INFO] Flink : Formats : Sequence file .................... SKIPPED
[INFO] Flink : Formats : Compress ......................... SKIPPED
[INFO] Flink : Formats : Avro AWS Glue Schema Registry .... SKIPPED
[INFO] Flink : Formats : JSON AWS Glue Schema Registry .... SKIPPED
[INFO] Flink : Formats : SQL Orc .......................... SKIPPED
[INFO] Flink : Formats : SQL Parquet ...................... SKIPPED
[INFO] Flink : Formats : SQL Avro ......................... SKIPPED
[INFO] Flink : Formats : SQL Avro Confluent Registry ...... SKIPPED
[INFO] Flink : Examples : Streaming ....................... SKIPPED
[INFO] Flink : Examples : Table ........................... SKIPPED
[INFO] Flink : Examples : Build Helper : .................. SKIPPED
[INFO] Flink : Examples : Build Helper : Streaming State machine SKIPPED
[INFO] Flink : Examples : Build Helper : Streaming Google PubSub SKIPPED
[INFO] Flink : Container .................................. SKIPPED
[INFO] Flink : Queryable state : Runtime .................. SKIPPED
[INFO] Flink : Dist-Scala ................................. SKIPPED
[INFO] Flink : Kubernetes ................................. SKIPPED
[INFO] Flink : Yarn ....................................... SKIPPED
[INFO] Flink : Table : API Java Uber ...................... SKIPPED
[INFO] Flink : Table : Planner Loader Bundle .............. SKIPPED
[INFO] Flink : Table : Planner Loader ..................... SKIPPED
[INFO] Flink : Libraries : Gelly .......................... SKIPPED
[INFO] Flink : Libraries : Gelly scala .................... SKIPPED
[INFO] Flink : Libraries : Gelly Examples ................. SKIPPED
[INFO] Flink : External resources : ....................... SKIPPED
[INFO] Flink : External resources : GPU ................... SKIPPED
[INFO] Flink : Metrics : Dropwizard ....................... SKIPPED
[INFO] Flink : Metrics : Graphite ......................... SKIPPED
[INFO] Flink : Metrics : InfluxDB ......................... SKIPPED
[INFO] Flink : Metrics : Prometheus ....................... SKIPPED
[INFO] Flink : Metrics : StatsD ........................... SKIPPED
[INFO] Flink : Metrics : Datadog .......................... SKIPPED
[INFO] Flink : Metrics : Slf4j ............................ SKIPPED
[INFO] Flink : Libraries : CEP Scala ...................... SKIPPED
[INFO] Flink : Libraries : State processor API ............ SKIPPED
[INFO] Flink : Dist ....................................... SKIPPED
[INFO] Flink : Yarn Tests ................................. SKIPPED
[INFO] Flink : E2E Tests : ................................ SKIPPED
[INFO] Flink : E2E Tests : CLI ............................ SKIPPED
[INFO] Flink : E2E Tests : Parent Child classloading program SKIPPED
[INFO] Flink : E2E Tests : Parent Child classloading lib-package SKIPPED
[INFO] Flink : E2E Tests : Dataset allround ............... SKIPPED
[INFO] Flink : E2E Tests : Dataset Fine-grained recovery .. SKIPPED
[INFO] Flink : E2E Tests : Datastream allround ............ SKIPPED
[INFO] Flink : E2E Tests : Batch SQL ...................... SKIPPED
[INFO] Flink : E2E Tests : Stream SQL ..................... SKIPPED
[INFO] Flink : E2E Tests : Distributed cache via blob ..... SKIPPED
[INFO] Flink : E2E Tests : High parallelism iterations .... SKIPPED
[INFO] Flink : E2E Tests : Stream stateful job upgrade .... SKIPPED
[INFO] Flink : E2E Tests : Queryable state ................ SKIPPED
[INFO] Flink : E2E Tests : Local recovery and allocation .. SKIPPED
[INFO] Flink : E2E Tests : Elasticsearch 6 ................ SKIPPED
[INFO] Flink : Quickstart : ............................... SKIPPED
[INFO] Flink : Quickstart : Java .......................... SKIPPED
[INFO] Flink : Quickstart : Scala ......................... SKIPPED
[INFO] Flink : E2E Tests : Quickstart ..................... SKIPPED
[INFO] Flink : E2E Tests : Confluent schema registry ...... SKIPPED
[INFO] Flink : E2E Tests : Stream state TTL ............... SKIPPED
[INFO] Flink : E2E Tests : SQL client ..................... SKIPPED
[INFO] Flink : E2E Tests : File sink ...................... SKIPPED
[INFO] Flink : E2E Tests : State evolution ................ SKIPPED
[INFO] Flink : E2E Tests : RocksDB state memory control ... SKIPPED
[INFO] Flink : E2E Tests : Common ......................... SKIPPED
[INFO] Flink : E2E Tests : Metrics availability ........... SKIPPED
[INFO] Flink : E2E Tests : Metrics reporter prometheus .... SKIPPED
[INFO] Flink : E2E Tests : Heavy deployment ............... SKIPPED
[INFO] Flink : E2E Tests : Connectors : Google PubSub ..... SKIPPED
[INFO] Flink : E2E Tests : Streaming Kafka base ........... SKIPPED
[INFO] Flink : E2E Tests : Streaming Kafka ................ SKIPPED
[INFO] Flink : E2E Tests : Plugins : ...................... SKIPPED
[INFO] Flink : E2E Tests : Plugins : Dummy fs ............. SKIPPED
[INFO] Flink : E2E Tests : Plugins : Another dummy fs ..... SKIPPED
[INFO] Flink : E2E Tests : TPCH ........................... SKIPPED
[INFO] Flink : E2E Tests : Streaming Kinesis .............. SKIPPED
[INFO] Flink : E2E Tests : Elasticsearch 7 ................ SKIPPED
[INFO] Flink : E2E Tests : Common Kafka ................... SKIPPED
[INFO] Flink : E2E Tests : TPCDS .......................... SKIPPED
[INFO] Flink : E2E Tests : Netty shuffle memory control ... SKIPPED
[INFO] Flink : E2E Tests : Python ......................... SKIPPED
[INFO] Flink : E2E Tests : HBase .......................... SKIPPED
[INFO] Flink : E2E Tests : Pulsar ......................... SKIPPED
[INFO] Flink : E2E Tests : Avro AWS Glue Schema Registry .. SKIPPED
[INFO] Flink : E2E Tests : JSON AWS Glue Schema Registry .. SKIPPED
[INFO] Flink : E2E Tests : Scala .......................... SKIPPED
[INFO] Flink : E2E Tests : Kinesis SQL tests .............. SKIPPED
[INFO] Flink : E2E Tests : Kinesis Firehose SQL tests ..... SKIPPED
[INFO] Flink : E2E Tests : SQL ............................ SKIPPED
[INFO] Flink : State backends : Heap spillable ............ SKIPPED
[INFO] Flink : Table : Test Utils ......................... SKIPPED
[INFO] Flink : Contrib : .................................. SKIPPED
[INFO] Flink : Contrib : Connectors : Wikiedits ........... SKIPPED
[INFO] Flink : FileSystems : Tests ........................ SKIPPED
[INFO] Flink : Docs ....................................... SKIPPED
[INFO] Flink : Walkthrough : .............................. SKIPPED
[INFO] Flink : Walkthrough : Common ....................... SKIPPED
[INFO] Flink : Walkthrough : Datastream Java .............. SKIPPED
[INFO] Flink : Walkthrough : Datastream Scala ............. SKIPPED
[INFO] Flink : Tools : CI : Java .......................... SKIPPED
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time:  24:55 min
[INFO] Finished at: 2024-07-23T20:20:59+08:00
[INFO] ------------------------------------------------------------------------


[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary for Flink : 1.15.3:
[INFO] 
[INFO] Flink : ............................................ SUCCESS [  7.995 s]
[INFO] Flink : Annotations ................................ SUCCESS [  8.043 s]
[INFO] Flink : Architecture Tests ......................... SUCCESS [  0.385 s]
[INFO] Flink : Architecture Tests : Base .................. SUCCESS [  1.766 s]
[INFO] Flink : Test utils : ............................... SUCCESS [  0.265 s]
[INFO] Flink : Test utils : Junit ......................... SUCCESS [  7.279 s]
[INFO] Flink : Metrics : .................................. SUCCESS [  0.262 s]
[INFO] Flink : Metrics : Core ............................. SUCCESS [  3.096 s]
[INFO] Flink : Core ....................................... SUCCESS [ 59.517 s]
[INFO] Flink : Table : .................................... SUCCESS [  0.241 s]
[INFO] Flink : Table : Common ............................. SUCCESS [ 18.535 s]
[INFO] Flink : Table : API Java ........................... SUCCESS [  8.766 s]
[INFO] Flink : Java ....................................... SUCCESS [ 10.929 s]
[INFO] Flink : Connectors : ............................... SUCCESS [  0.243 s]
[INFO] Flink : Connectors : File Sink Common .............. SUCCESS [  1.152 s]
[INFO] Flink : RPC : ...................................... SUCCESS [  0.322 s]
[INFO] Flink : RPC : Core ................................. SUCCESS [  1.329 s]
[INFO] Flink : RPC : Akka ................................. SUCCESS [ 17.470 s]
[INFO] Flink : RPC : Akka-Loader .......................... SUCCESS [  5.843 s]
[INFO] Flink : Queryable state : .......................... SUCCESS [  0.191 s]
[INFO] Flink : Queryable state : Client Java .............. SUCCESS [  1.487 s]
[INFO] Flink : FileSystems : .............................. SUCCESS [  0.273 s]
[INFO] Flink : FileSystems : Hadoop FS .................... SUCCESS [  7.420 s]
[INFO] Flink : Runtime .................................... SUCCESS [01:57 min]
[INFO] Flink : Streaming Java ............................. SUCCESS [ 33.004 s]
[INFO] Flink : Table : API bridge base .................... SUCCESS [  1.097 s]
[INFO] Flink : Table : API Java bridge .................... SUCCESS [  2.483 s]
[INFO] Flink : Table : Code Splitter ...................... SUCCESS [  4.870 s]
[INFO] Flink : Optimizer .................................. SUCCESS [ 10.957 s]
[INFO] Flink : Clients .................................... SUCCESS [  7.801 s]
[INFO] Flink : DSTL ....................................... SUCCESS [  0.325 s]
[INFO] Flink : DSTL : DFS ................................. SUCCESS [  2.526 s]
[INFO] Flink : State backends : ........................... SUCCESS [  0.458 s]
[INFO] Flink : State backends : RocksDB ................... SUCCESS [  7.054 s]
[INFO] Flink : State backends : Changelog ................. SUCCESS [  2.164 s]
[INFO] Flink : Test utils : Utils ......................... SUCCESS [  4.810 s]
[INFO] Flink : Libraries : ................................ SUCCESS [  0.210 s]
[INFO] Flink : Libraries : CEP ............................ SUCCESS [  5.664 s]
[INFO] Flink : Table : Runtime ............................ SUCCESS [ 16.529 s]
[INFO] Flink : Scala ...................................... SUCCESS [01:32 min]
[INFO] Flink : Table : SQL Parser ......................... SUCCESS [  9.768 s]
[INFO] Flink : Table : SQL Parser Hive .................... SUCCESS [  6.073 s]
[INFO] Flink : Table : API Scala .......................... SUCCESS [ 22.689 s]
[INFO] Flink : Test utils : Connectors .................... SUCCESS [  2.072 s]
[INFO] Flink : Architecture Tests : Test .................. SUCCESS [  1.176 s]
[INFO] Flink : Connectors : Base .......................... SUCCESS [  3.125 s]
[INFO] Flink : Connectors : Files ......................... SUCCESS [  5.213 s]
[INFO] Flink : Examples : ................................. SUCCESS [  0.302 s]
[INFO] Flink : Examples : Batch ........................... SUCCESS [ 21.655 s]
[INFO] Flink : Connectors : Hadoop compatibility .......... SUCCESS [ 11.743 s]
[INFO] Flink : Tests ...................................... SUCCESS [01:11 min]
[INFO] Flink : Streaming Scala ............................ SUCCESS [01:00 min]
[INFO] Flink : Table : API Scala bridge ................... SUCCESS [ 19.945 s]
[INFO] Flink : Table : Planner ............................ SUCCESS [05:36 min]
[INFO] Flink : Formats : .................................. SUCCESS [  0.134 s]
[INFO] Flink : Format : Common ............................ SUCCESS [  0.343 s]
[INFO] Flink : Formats : Csv .............................. SUCCESS [  1.905 s]
[INFO] Flink : Formats : Hadoop bulk ...................... SUCCESS [  2.757 s]
[INFO] Flink : Formats : Orc .............................. SUCCESS [  2.996 s]
[INFO] Flink : Formats : Orc nohive ....................... SUCCESS [  2.281 s]
[INFO] Flink : Formats : Avro ............................. SUCCESS [  6.245 s]
[INFO] Flink : Formats : Parquet .......................... SUCCESS [ 16.343 s]
[INFO] Flink : Connectors : Hive .......................... SUCCESS [ 33.385 s]
[INFO] Flink : Python ..................................... SUCCESS [01:00 min]
[INFO] Flink : Table : SQL Client ......................... SUCCESS [  4.377 s]
[INFO] Flink : Connectors : AWS Base ...................... SUCCESS [  1.983 s]
[INFO] Flink : Connectors : Cassandra ..................... SUCCESS [  6.715 s]
[INFO] Flink : Formats : Json ............................. SUCCESS [  2.139 s]
[INFO] Flink : Connectors : Elasticsearch base ............ SUCCESS [  3.682 s]
[INFO] Flink : Connectors : Elasticsearch 6 ............... SUCCESS [  3.211 s]
[INFO] Flink : Connectors : Elasticsearch 7 ............... SUCCESS [  1.792 s]
[INFO] Flink : Connectors : Google PubSub ................. SUCCESS [  1.583 s]
[INFO] Flink : Connectors : HBase base .................... SUCCESS [  2.133 s]
[INFO] Flink : Connectors : HBase 1.4 ..................... SUCCESS [  6.742 s]
[INFO] Flink : Connectors : HBase 2.2 ..................... SUCCESS [  5.883 s]
[INFO] Flink : Connectors : JDBC .......................... SUCCESS [  4.605 s]
[INFO] Flink : Metrics : JMX .............................. SUCCESS [  0.625 s]
[INFO] Flink : Formats : Avro confluent registry .......... SUCCESS [  1.078 s]
[INFO] Flink : Connectors : Kafka ......................... SUCCESS [  7.781 s]
[INFO] Flink : Connectors : Amazon Kinesis Data Streams ... SUCCESS [  1.645 s]
[INFO] Flink : Connectors : Kinesis ....................... SUCCESS [ 28.342 s]
[INFO] Flink : Connectors : Nifi .......................... SUCCESS [  1.144 s]
[INFO] Flink : Connectors : Pulsar ........................ SUCCESS [ 19.607 s]
[INFO] Flink : Connectors : RabbitMQ ...................... SUCCESS [  1.307 s]
[INFO] Flink : Architecture Tests : Production ............ SUCCESS [  2.979 s]
[INFO] Flink : FileSystems : Hadoop FS shaded ............. SUCCESS [  6.329 s]
[INFO] Flink : FileSystems : S3 FS Base ................... SUCCESS [  2.042 s]
[INFO] Flink : FileSystems : S3 FS Hadoop ................. SUCCESS [ 13.426 s]
[INFO] Flink : FileSystems : S3 FS Presto ................. SUCCESS [01:31 min]
[INFO] Flink : FileSystems : OSS FS ....................... SUCCESS [ 21.164 s]
[INFO] Flink : FileSystems : Azure FS Hadoop .............. SUCCESS [ 30.780 s]
[INFO] Flink : FileSystems : Google Storage FS Hadoop ..... SUCCESS [ 33.817 s]
--------------------------------------------------------------------------------------------------------------------
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary for Flink : Runtime web 1.15.3:
[INFO] 
[INFO] Flink : Runtime web ................................ SUCCESS [03:43 min]   第93个子项目
[INFO] Flink : Connectors : HCatalog ...................... SUCCESS [ 27.049 s]
[INFO] Flink : Connectors : Amazon Kinesis Data Firehose .. SUCCESS [  7.150 s]
[INFO] Flink : Connectors : SQL : Elasticsearch 6 ......... SUCCESS [ 21.324 s]
[INFO] Flink : Connectors : SQL : Elasticsearch 7 ......... SUCCESS [ 15.506 s]
[INFO] Flink : Connectors : SQL : HBase 1.4 ............... SUCCESS [ 13.099 s]
[INFO] Flink : Connectors : SQL : HBase 2.2 ............... SUCCESS [ 22.985 s]
[INFO] Flink : Connectors : SQL : Hive 1.2.2 .............. SUCCESS [ 24.233 s]
[INFO] Flink : Connectors : SQL : Hive 2.2.0 .............. SUCCESS [ 21.787 s]
[INFO] Flink : Connectors : SQL : Hive 2.3.6 .............. SUCCESS [ 18.690 s]
[INFO] Flink : Connectors : SQL : Hive 3.1.2 .............. SUCCESS [ 28.055 s]
[INFO] Flink : Connectors : SQL : Kafka ................... SUCCESS [  2.946 s]
[INFO] Flink : Connectors : SQL : Amazon Kinesis Data Streams SUCCESS [  6.017 s]
[INFO] Flink : Connectors : SQL : Amazon Kinesis Data Firehose SUCCESS [  5.719 s]
[INFO] Flink : Connectors : SQL : Kinesis ................. SUCCESS [ 15.532 s]
[INFO] Flink : Connectors : SQL : Pulsar .................. SUCCESS [  8.219 s]
[INFO] Flink : Connectors : SQL : RabbitMQ ................ SUCCESS [  1.337 s]
[INFO] Flink : Formats : Sequence file .................... SUCCESS [  2.858 s]
[INFO] Flink : Formats : Compress ......................... SUCCESS [  2.911 s]
[INFO] Flink : Formats : Avro AWS Glue Schema Registry .... SUCCESS [  7.371 s]
[INFO] Flink : Formats : JSON AWS Glue Schema Registry .... SUCCESS [  6.201 s]
[INFO] Flink : Formats : SQL Orc .......................... SUCCESS [  1.209 s]
[INFO] Flink : Formats : SQL Parquet ...................... SUCCESS [  2.485 s]
[INFO] Flink : Formats : SQL Avro ......................... SUCCESS [  2.524 s]
[INFO] Flink : Formats : SQL Avro Confluent Registry ...... SUCCESS [  2.992 s]
[INFO] Flink : Examples : Streaming ....................... SUCCESS [ 33.861 s]
[INFO] Flink : Examples : Table ........................... SUCCESS [ 19.095 s]
[INFO] Flink : Examples : Build Helper : .................. SUCCESS [  1.024 s]
[INFO] Flink : Examples : Build Helper : Streaming State machine SUCCESS [  2.983 s]
[INFO] Flink : Examples : Build Helper : Streaming Google PubSub SUCCESS [  9.270 s]
[INFO] Flink : Container .................................. SUCCESS [  1.725 s]
[INFO] Flink : Queryable state : Runtime .................. SUCCESS [  4.084 s]
[INFO] Flink : Dist-Scala ................................. SUCCESS [  3.771 s]
[INFO] Flink : Kubernetes ................................. SUCCESS [ 22.354 s]
[INFO] Flink : Yarn ....................................... SUCCESS [ 12.413 s]
[INFO] Flink : Table : API Java Uber ...................... SUCCESS [  6.933 s]
[INFO] Flink : Table : Planner Loader Bundle .............. SUCCESS [  7.476 s]
[INFO] Flink : Table : Planner Loader ..................... SUCCESS [  7.382 s]
[INFO] Flink : Libraries : Gelly .......................... SUCCESS [ 16.101 s]
[INFO] Flink : Libraries : Gelly scala .................... SUCCESS [ 42.011 s]
[INFO] Flink : Libraries : Gelly Examples ................. SUCCESS [ 26.385 s]
[INFO] Flink : External resources : ....................... SUCCESS [  0.745 s]
[INFO] Flink : External resources : GPU ................... SUCCESS [  1.493 s]
[INFO] Flink : Metrics : Dropwizard ....................... SUCCESS [  1.778 s]
[INFO] Flink : Metrics : Graphite ......................... SUCCESS [  1.301 s]
[INFO] Flink : Metrics : InfluxDB ......................... SUCCESS [  3.347 s]
[INFO] Flink : Metrics : Prometheus ....................... SUCCESS [  2.463 s]
[INFO] Flink : Metrics : StatsD ........................... SUCCESS [  1.234 s]
[INFO] Flink : Metrics : Datadog .......................... SUCCESS [  1.967 s]
[INFO] Flink : Metrics : Slf4j ............................ SUCCESS [  1.424 s]
[INFO] Flink : Libraries : CEP Scala ...................... SUCCESS [ 28.689 s]
[INFO] Flink : Libraries : State processor API ............ SUCCESS [  8.257 s]
[INFO] Flink : Dist ....................................... SUCCESS [ 29.859 s]
[INFO] Flink : Yarn Tests ................................. SUCCESS [ 13.865 s]
[INFO] Flink : E2E Tests : ................................ SUCCESS [  0.558 s]
[INFO] Flink : E2E Tests : CLI ............................ SUCCESS [  1.343 s]
[INFO] Flink : E2E Tests : Parent Child classloading program SUCCESS [  1.706 s]
[INFO] Flink : E2E Tests : Parent Child classloading lib-package SUCCESS [  1.407 s]
[INFO] Flink : E2E Tests : Dataset allround ............... SUCCESS [  1.325 s]
[INFO] Flink : E2E Tests : Dataset Fine-grained recovery .. SUCCESS [  1.579 s]
[INFO] Flink : E2E Tests : Datastream allround ............ SUCCESS [  4.573 s]
[INFO] Flink : E2E Tests : Batch SQL ...................... SUCCESS [  1.514 s]
[INFO] Flink : E2E Tests : Stream SQL ..................... SUCCESS [  1.850 s]
[INFO] Flink : E2E Tests : Distributed cache via blob ..... SUCCESS [  1.870 s]
[INFO] Flink : E2E Tests : High parallelism iterations .... SUCCESS [ 12.986 s]
[INFO] Flink : E2E Tests : Stream stateful job upgrade .... SUCCESS [  3.228 s]
[INFO] Flink : E2E Tests : Queryable state ................ SUCCESS [  5.598 s]
[INFO] Flink : E2E Tests : Local recovery and allocation .. SUCCESS [  1.794 s]
[INFO] Flink : E2E Tests : Elasticsearch 6 ................ SUCCESS [  7.156 s]
[INFO] Flink : Quickstart : ............................... SUCCESS [  2.048 s]
[INFO] Flink : Quickstart : Java .......................... SUCCESS [  1.930 s]
[INFO] Flink : Quickstart : Scala ......................... SUCCESS [  1.234 s]
[INFO] Flink : E2E Tests : Quickstart ..................... SUCCESS [  3.613 s]
[INFO] Flink : E2E Tests : Confluent schema registry ...... SUCCESS [  6.589 s]
[INFO] Flink : E2E Tests : Stream state TTL ............... SUCCESS [ 11.081 s]
[INFO] Flink : E2E Tests : SQL client ..................... SUCCESS [  3.873 s]
[INFO] Flink : E2E Tests : File sink ...................... SUCCESS [  1.760 s]
[INFO] Flink : E2E Tests : State evolution ................ SUCCESS [  2.769 s]
[INFO] Flink : E2E Tests : RocksDB state memory control ... SUCCESS [  3.049 s]
[INFO] Flink : E2E Tests : Common ......................... SUCCESS [  5.366 s]
[INFO] Flink : E2E Tests : Metrics availability ........... SUCCESS [  1.496 s]
[INFO] Flink : E2E Tests : Metrics reporter prometheus .... SUCCESS [  1.555 s]
[INFO] Flink : E2E Tests : Heavy deployment ............... SUCCESS [ 15.932 s]
[INFO] Flink : E2E Tests : Connectors : Google PubSub ..... SUCCESS [  2.823 s]
[INFO] Flink : E2E Tests : Streaming Kafka base ........... SUCCESS [  2.473 s]
[INFO] Flink : E2E Tests : Streaming Kafka ................ SUCCESS [ 12.795 s]
[INFO] Flink : E2E Tests : Plugins : ...................... SUCCESS [  0.654 s]
[INFO] Flink : E2E Tests : Plugins : Dummy fs ............. SUCCESS [  1.148 s]
[INFO] Flink : E2E Tests : Plugins : Another dummy fs ..... SUCCESS [  1.301 s]
[INFO] Flink : E2E Tests : TPCH ........................... SUCCESS [  4.617 s]
[INFO] Flink : E2E Tests : Streaming Kinesis .............. SUCCESS [ 35.494 s]
[INFO] Flink : E2E Tests : Elasticsearch 7 ................ SUCCESS [  8.015 s]
[INFO] Flink : E2E Tests : Common Kafka ................... SUCCESS [  5.963 s]
[INFO] Flink : E2E Tests : TPCDS .......................... SUCCESS [  6.296 s]
[INFO] Flink : E2E Tests : Netty shuffle memory control ... SUCCESS [  1.781 s]
[INFO] Flink : E2E Tests : Python ......................... SUCCESS [  6.986 s]
[INFO] Flink : E2E Tests : HBase .......................... SUCCESS [  6.613 s]
[INFO] Flink : E2E Tests : Pulsar ......................... SUCCESS [  5.003 s]
[INFO] Flink : E2E Tests : Avro AWS Glue Schema Registry .. SUCCESS [  4.342 s]
[INFO] Flink : E2E Tests : JSON AWS Glue Schema Registry .. SUCCESS [  6.271 s]
[INFO] Flink : E2E Tests : Scala .......................... SUCCESS [ 14.172 s]
[INFO] Flink : E2E Tests : Kinesis SQL tests .............. SUCCESS [  2.021 s]
[INFO] Flink : E2E Tests : Kinesis Firehose SQL tests ..... SUCCESS [  2.207 s]
[INFO] Flink : E2E Tests : SQL ............................ SUCCESS [  3.718 s]
[INFO] Flink : State backends : Heap spillable ............ SUCCESS [  3.408 s]
[INFO] Flink : Table : Test Utils ......................... SUCCESS [  3.781 s]
[INFO] Flink : Contrib : .................................. SUCCESS [  0.773 s]
[INFO] Flink : Contrib : Connectors : Wikiedits ........... SUCCESS [  2.721 s]
[INFO] Flink : FileSystems : Tests ........................ SUCCESS [  3.393 s]
[INFO] Flink : Docs ....................................... SUCCESS [ 10.543 s]
[INFO] Flink : Walkthrough : .............................. SUCCESS [  0.871 s]
[INFO] Flink : Walkthrough : Common ....................... SUCCESS [  4.019 s]
[INFO] Flink : Walkthrough : Datastream Java .............. SUCCESS [  1.421 s]
[INFO] Flink : Walkthrough : Datastream Scala ............. SUCCESS [  1.426 s]
[INFO] Flink : Tools : CI : Java .......................... SUCCESS [  1.850 s]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time:  18:12 min
[INFO] Finished at: 2024-07-23T21:18:32+08:00
[INFO] ------------------------------------------------------------------------

docker-centos 编译

• Bigtop 系列 - 如何使用 Bigtop 构建 RPM/DEB 包:https://www.bilibili.com/video/BV1DL411X7xZ
• 下载编译环境：

docker pull docker.fxxk.dedyn.io/bigtop/slaves:3.2.0-centos-7
# 将本地代码目录G:\OpenSource\Data\platform\bigtop映射到ws目录
# 将maven本地仓库文件目录映射到/root，方便之后maven、grandle、ant使用 
docker run -d -it -p 8000:8000 --network ambari -v G:\OpenSource\Data\platform\bigtop:/ws -v F:\docker\data\bigtop:/root --workdir /ws --name repo bigtop/slaves:3.2.0-centos-7


docker pull docker.fxxk.dedyn.io/bigtop/slaves:3.2.0-centos-7
docker pull docker.fxxk.dedyn.io/bigtop/slaves:trunk-centos-7
docker pull docker.fxxk.dedyn.io/bigtop/puppet:trunk-centos-7
docker pull mariadb:10.2
docker pull centos:7  
docker pull mysql:5.7

bigtop 源码分析

packages.gradle

• task 列表
  • packages-help: All package build related tasks information
  • bom-json: List the components of the stack in json format
  • all-components： List the components of the stack
  • 单个组件：如zookeeper
    • ${component}-download： Download $component artifacts
    • ${component}-tar： Preparing a tarball for $component artifacts
    • $component-deb：Building DEB for $component artifacts
    • $component-sdeb：Building SDEB for $component artifacts
    • $component-rpm：Building RPM for $component artifacts
    • $component-srpm：Building SRPM for $component artifacts
    • $component-pkg:Invoking a native binary packaging component $ptype
    • component-spkg:Invoking a native binary packaging component sptype
    • $component-pkg-ind: Invoking a native binary packaging for $component in Docker
    • $component-version: Show version of $component component
    • ${component}_vardefines: 变量定义
    • $component-info: Info about $component component build
    • $component-relnotes: Preparing release notes for $component. No yet implemented!!!
    • $component-clean: Removing $component component build and output directories
    • $component-help: List of available tasks for $component
  • 所有组件
    • srpm：Build all SRPM packages for the stack components
    • rpm: Build all RPM packages for the stack
    • sdeb：Build all SDEB packages for the stack components
    • deb: Build all DEB packages for the stack components
    • pkgs：Build all native packages for the stack components
    • pkgs-ind: Build all native packages for the stack components inside Docker
    • allclean：Removing $BUILD_DIR, $OUTPUT_DIR, and $DIST_DIR,Cleaning all components' build and output directories
    • realclean:Removing $DL_DIR
  • apt：Creating APT repository
  • yum: Creating YUM repository
  • repo：Invoking a native repository target $
  • repo-ind： Invoking a native repository in Docker