大数据数据湖技术Hudi0.12.0版本源码编译
Apache Hudi(Hadoop Upserts Delete and Incremental)是下一代流数据湖平台。Apache Hudi将核心仓库和数据库功能直接引入数据湖。Hudi提供了表、事务、高效的upserts/delete、高级索引、流摄取服务、数据集群/压缩优化和并发,同时保持数据的开源文件格式。Apache Hudi不仅非常适合于流工作负载,而且还允许创建高效的增量批处理管道
0 介绍
Apache Hudi(Hadoop Upserts Delete and Incremental)是下一代流数据湖平台。Apache Hudi将核心仓库和数据库功能直接引入数据湖。Hudi提供了表、事务、高效的upserts/delete、高级索引、流摄取服务、数据集群/压缩优化和并发,同时保持数据的开源文件格式。
Apache Hudi不仅非常适合于流工作负载,而且还允许创建高效的增量批处理管道。
Apache Hudi可以轻松地在任何云存储平台上使用。Hudi的高级性能优化,使分析工作负载更快的任何流行的查询引擎,包括Apache Spark、Flink、Presto、Trino、Hive等。
1 环境准备
1.1 安装maven
要求maven版本3.3.1版本及以上
修改setting.xml,指定为阿里仓库地址
<!-- 添加阿里云镜像-->
<mirror>
<id>nexus-aliyun</id>
<mirrorOf>central</mirrorOf>
<name>Nexus aliyun</name>
<url>http://maven.aliyun.com/nexus/content/groups/public</url>
</mirror>
1.2 安装JDK
要求jdk8及以上的版本
1.3 Git
主要用于获取hudi源码
1.4 下载hudi源码
https://github.com/apache/hudi/releases/
2 Hudi源码编译
2.1 修改pom文件
修改hudi-0.12.0/pom.xml文件
1)新增repository加速依赖下载
<repository>
<id>nexus-aliyun</id>
<name>nexus-aliyun</name>
<url>http://maven.aliyun.com/nexus/content/groups/public/</url>
<releases>
<enabled>true</enabled>
</releases>
<snapshots>
<enabled>false</enabled>
</snapshots>
</repository>
2)修改依赖的组件版本
根据需要适配的组件修改相应的版本号,默认的hadoop版本为2.10.1。hive默认版本为2.3.1,修改为当前自己使用的版本
2.2 修改代码
Hudi默认依赖的hadoop2,要兼容hadoop3,除了修改版本,还需要修改如下代码:
hudi-0.12.0/hudi-common/src/main/java/org/apache/hudi/common/table/log/block/HoodieParquetDataBlock.java
否则会因为hadoop2.x和3.x版本兼容问题.
2.3 修改kafka依赖
有几个kafka的依赖需要手动安装,否则编译报错如下:
1)下载jar包
通过网址下载:http://packages.confluent.io/archive/5.3/confluent-5.3.4-2.12.zip
解压后找到以下jar包,上传服务器
common-config-5.3.4.jar
common-utils-5.3.4.jar
kafka-avro-serializer-5.3.4.jar
kafka-schema-registry-client-5.3.4.jar
2)install到maven本地仓库
mvn install:install-file -DgroupId=io.confluent -DartifactId=common-config -Dversion=5.3.4 -Dpackaging=jar -Dfile=./common-config-5.3.4.jar
mvn install:install-file -DgroupId=io.confluent -DartifactId=common-utils -Dversion=5.3.4 -Dpackaging=jar -Dfile=./common-utils-5.3.4.jar
mvn install:install-file -DgroupId=io.confluent -DartifactId=kafka-avro-serializer -Dversion=5.3.4 -Dpackaging=jar -Dfile=./kafka-avro-serializer-5.3.4.jar
mvn install:install-file -DgroupId=io.confluent -DartifactId=kafka-schema-registry-client -Dversion=5.3.4 -Dpackaging=jar -Dfile=./kafka-schema-registry-client-5.3.4.jar
2.4 解决spark模块依赖冲突
修改了Hive版本为3.1.0,其携带的jetty是0.9.3,hudi本身用的0.9.4,存在依赖冲突
1)修改hudi-spark-bundle的pom文件,排除低版本jetty,添加hudi指定版本的jetty:
hudi-0.12.0/packaging/hudi-spark-bundle/pom.xml
在280行的位置,添加内容如下:
<!-- Hive -->
<dependency>
<groupId>${hive.groupid}</groupId>
<artifactId>hive-service</artifactId>
<version>${hive.version}</version>
<scope>${spark.bundle.hive.scope}</scope>
<exclusions>
<exclusion>
<artifactId>guava</artifactId>
<groupId>com.google.guava</groupId>
</exclusion>
<exclusion>
<groupId>org.eclipse.jetty</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<groupId>org.pentaho</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>${hive.groupid}</groupId>
<artifactId>hive-service-rpc</artifactId>
<version>${hive.version}</version>
<scope>${spark.bundle.hive.scope}</scope>
</dependency>
<dependency>
<groupId>${hive.groupid}</groupId>
<artifactId>hive-jdbc</artifactId>
<version>${hive.version}</version>
<scope>${spark.bundle.hive.scope}</scope>
<exclusions>
<exclusion>
<groupId>javax.servlet</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<groupId>javax.servlet.jsp</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<groupId>org.eclipse.jetty</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>${hive.groupid}</groupId>
<artifactId>hive-metastore</artifactId>
<version>${hive.version}</version>
<scope>${spark.bundle.hive.scope}</scope>
<exclusions>
<exclusion>
<groupId>javax.servlet</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<groupId>org.datanucleus</groupId>
<artifactId>datanucleus-core</artifactId>
</exclusion>
<exclusion>
<groupId>javax.servlet.jsp</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<artifactId>guava</artifactId>
<groupId>com.google.guava</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>${hive.groupid}</groupId>
<artifactId>hive-common</artifactId>
<version>${hive.version}</version>
<scope>${spark.bundle.hive.scope}</scope>
<exclusions>
<exclusion>
<groupId>org.eclipse.jetty.orbit</groupId>
<artifactId>javax.servlet</artifactId>
</exclusion>
<exclusion>
<groupId>org.eclipse.jetty</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>
<!-- 增加hudi配置版本的jetty -->
<dependency>
<groupId>org.eclipse.jetty</groupId>
<artifactId>jetty-server</artifactId>
<version>${jetty.version}</version>
</dependency>
<dependency>
<groupId>org.eclipse.jetty</groupId>
<artifactId>jetty-util</artifactId>
<version>${jetty.version}</version>
</dependency>
<dependency>
<groupId>org.eclipse.jetty</groupId>
<artifactId>jetty-webapp</artifactId>
<version>${jetty.version}</version>
</dependency>
<dependency>
<groupId>org.eclipse.jetty</groupId>
<artifactId>jetty-http</artifactId>
<version>${jetty.version}</version>
</dependency>
hive-service
hive-jdbc
hive-metastore
hive-common
最后新增
2)修改hudi-utilities-bundle的pom文件,排除低版本jetty,添加hudi指定版本的jetty:
hudi-0.12.0/packaging/hudi-utilities-bundle/pom.xml
<!-- Hoodie -->
<dependency>
<groupId>org.apache.hudi</groupId>
<artifactId>hudi-common</artifactId>
<version>${project.version}</version>
<exclusions>
<exclusion>
<groupId>org.eclipse.jetty</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.hudi</groupId>
<artifactId>hudi-client-common</artifactId>
<version>${project.version}</version>
<exclusions>
<exclusion>
<groupId>org.eclipse.jetty</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>
<!-- Hive -->
<dependency>
<groupId>${hive.groupid}</groupId>
<artifactId>hive-service</artifactId>
<version>${hive.version}</version>
<scope>${utilities.bundle.hive.scope}</scope>
<exclusions>
<exclusion>
<artifactId>servlet-api</artifactId>
<groupId>javax.servlet</groupId>
</exclusion>
<exclusion>
<artifactId>guava</artifactId>
<groupId>com.google.guava</groupId>
</exclusion>
<exclusion>
<groupId>org.eclipse.jetty</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<groupId>org.pentaho</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>${hive.groupid}</groupId>
<artifactId>hive-service-rpc</artifactId>
<version>${hive.version}</version>
<scope>${utilities.bundle.hive.scope}</scope>
</dependency>
<dependency>
<groupId>${hive.groupid}</groupId>
<artifactId>hive-jdbc</artifactId>
<version>${hive.version}</version>
<scope>${utilities.bundle.hive.scope}</scope>
<exclusions>
<exclusion>
<groupId>javax.servlet</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<groupId>javax.servlet.jsp</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<groupId>org.eclipse.jetty</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>${hive.groupid}</groupId>
<artifactId>hive-metastore</artifactId>
<version>${hive.version}</version>
<scope>${utilities.bundle.hive.scope}</scope>
<exclusions>
<exclusion>
<groupId>javax.servlet</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<groupId>org.datanucleus</groupId>
<artifactId>datanucleus-core</artifactId>
</exclusion>
<exclusion>
<groupId>javax.servlet.jsp</groupId>
<artifactId>*</artifactId>
</exclusion>
<exclusion>
<artifactId>guava</artifactId>
<groupId>com.google.guava</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>${hive.groupid}</groupId>
<artifactId>hive-common</artifactId>
<version>${hive.version}</version>
<scope>${utilities.bundle.hive.scope}</scope>
<exclusions>
<exclusion>
<groupId>org.eclipse.jetty.orbit</groupId>
<artifactId>javax.servlet</artifactId>
</exclusion>
<exclusion>
<groupId>org.eclipse.jetty</groupId>
<artifactId>*</artifactId>
</exclusion>
</exclusions>
</dependency>
<!-- 增加hudi配置版本的jetty -->
<dependency>
<groupId>org.eclipse.jetty</groupId>
<artifactId>jetty-server</artifactId>
<version>${jetty.version}</version>
</dependency>
<dependency>
<groupId>org.eclipse.jetty</groupId>
<artifactId>jetty-util</artifactId>
<version>${jetty.version}</version>
</dependency>
<dependency>
<groupId>org.eclipse.jetty</groupId>
<artifactId>jetty-webapp</artifactId>
<version>${jetty.version}</version>
</dependency>
<dependency>
<groupId>org.eclipse.jetty</groupId>
<artifactId>jetty-http</artifactId>
<version>${jetty.version}</version>
</dependency>
hive-service
hive-jdbc
hive-metastore
hive-common
新增内容
2.5 执行编译
mvn clean package -DskipTests -Dspark3.2 -Dflink1.13 -Dscala-2.12 -Dhadoop.version=3.1.1 -Pflink-bundle-shade-hive3
注:这里通过-D参数指定spark/flink组件版本,指定scala版本
3 验证
编译成功后,进入hudi-cli说明成功
编译完成后,相关的包在packaging目录的各个模块中:
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