Big data data lake technology Hudi0.12.0 version source code compilation

0 introduction

Apache Hudi (Hadoop Upserts Delete and Incremental) is a next-generation streaming data lake platform. Apache Hudi brings core warehouse and database functionality directly into the data lake. Hudi provides tables, transactions, efficient upserts/deletes, advanced indexing, streaming ingestion services, data clustering/compression optimization and concurrency, while maintaining the open source file format of the data.
Not only is Apache Hudi well suited for streaming workloads, but it also allows for the creation of efficient incremental batch processing pipelines.
Apache Hudi can be easily used on any cloud storage platform. Hudi's advanced performance optimizations make analytics workloads faster for any popular query engine, including Apache Spark, Flink, Presto, Trino, Hive, and more.

1 Environment preparation

1.1 install maven

Requires maven version 3.3.1 and above
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Modify setting.xml, specify as Ali warehouse address

<!-- 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 Install JDK

Requires jdk8 and above version
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1.3 Git

Mainly used to obtain hudi source code

1.4 Download hudi source code

https://github.com/apache/hudi/releases/

2 Hudi source code compilation

2.1 Modify the pom file

Modify the hudi-0.12.0/pom.xml file
1) Add a new repository to speed up dependent downloads

<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) Modify the dependent component version
Modify the corresponding version number according to the components that need to be adapted. The default hadoop version is 2.10.1. The default version of hive is 2.3.1, modify it to the current version you use
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2.2 Modify the code

Hudi relies on hadoop2 by default. To be compatible with hadoop3, in addition to modifying the version, the following code needs to be modified:
hudi-0.12.0/hudi-common/src/main/java/org/apache/hudi/common/table/log/block/ Otherwise, HoodieParquetDataBlock.java
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will be compatible with hadoop2.x and 3.x versions.

2.3 Modify kafka dependencies

There are several kafka dependencies that need to be installed manually, otherwise the compilation error is as follows:

1) Download the jar package
Download from the URL: http://packages.confluent.io/archive/5.3/confluent-5.3.4-2.12.zip
After decompression, find the following jar package and upload it to the server

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 to maven local warehouse

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 Resolving spark module dependency conflicts

The Hive version is modified to 3.1.0, the jetty it carries is 0.9.3, and hudi itself uses 0.9.4, there is a dependency conflict
1) Modify the pom file of hudi-spark-bundle, exclude the low version jetty, and add the specified version of hudi Jetty:
hudi-0.12.0/packaging/hudi-spark-bundle/pom.xml
is at line 280, add the following content:

<!-- 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

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hive-jdbc
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hive-metastore
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hive-common
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is added at the end
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2) Modify the pom file of hudi-utilities-bundle, exclude the lower version of jetty, and add the version of jetty specified by hudi:
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
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hive-jdbc
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hive-metastore
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hive-common
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new content
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2.5 Execute compilation

mvn clean package -DskipTests -Dspark3.2 -Dflink1.13 -Dscala-2.12 -Dhadoop.version=3.1.1 -Pflink-bundle-shade-hive3

Note: Here, the spark/flink component version is specified by the -D parameter, and the scala version is specified

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3 verification

After the compilation is successful, enter hudi-cli to indicate the success.
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After the compilation is completed, the relevant packages are in each module of the packaging directory:
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Origin blog.csdn.net/Keyuchen_01/article/details/130730274