Nebula Exchange与集群guava版本不一致问题

1、集群版本

Hadoop 3.1.1.3.1.4.0-315

Hive (version 3.1.0.3.1.4.0-315)

Spark 2.3.2.3.1.4.0-315

Scala version 2.11.12 (Java HotSpot 64-Bit Server VM, Java 1.8.0_144)

guava是guava-28.0-jre.jar

2、Exchange强依赖

指定依赖guava-14版本

3、提交任务报错

命令

spark-submit \
--conf spark.app.name="g1" \
--master "local" \
--class com.vesoft.nebula.exchange.Exchange /data/nebula-spark-utils210/nebula-exchange-2.1.0.jar -c /data/nebula/exchange/configs/imp_test1.conf -h

报错信息

21/08/11 23:18:20 INFO HiveMetaStoreClient: Opened a connection to metastore, current connections: 1
21/08/11 23:18:20 INFO HiveMetaStoreClient: Connected to metastore.
21/08/11 23:18:20 INFO RetryingMetaStoreClient: RetryingMetaStoreClient proxy=class org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient ugi=xxx (auth:SIMPLE) retries=1 delay=5 lifetime=0
Exception in thread "main" java.lang.NoSuchMethodError: com.google.common.net.HostAndPort.getHostText()Ljava/lang/String;
        at com.vesoft.nebula.exchange.MetaProvider$$anonfun$1.apply(MetaProvider.scala:30)
        at com.vesoft.nebula.exchange.MetaProvider$$anonfun$1.apply(MetaProvider.scala:29)
        at scala.collection.immutable.List.foreach(List.scala:392)
        at com.vesoft.nebula.exchange.MetaProvider.<init>(MetaProvider.scala:29)
        at com.vesoft.nebula.exchange.processor.VerticesProcessor.process(VerticesProcessor.scala:109)
        at com.vesoft.nebula.exchange.Exchange$$anonfun$main$2.apply(Exchange.scala:152)
        at com.vesoft.nebula.exchange.Exchange$$anonfun$main$2.apply(Exchange.scala:129)
        at scala.collection.immutable.List.foreach(List.scala:392)
        at com.vesoft.nebula.exchange.Exchange$.main(Exchange.scala:129)
        at com.vesoft.nebula.exchange.Exchange.main(Exchange.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:904)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:198)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:228)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:137)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
21/08/11 23:18:22 INFO SparkContext: Invoking stop() from shutdown hook

4、原因分析

exchange对guava14强依赖，集群使用的是guava28，guava16以后不再向下兼容，

提交exchange导数任务到spark集群时，依赖包时直接用了集群的28，自己提交运行时包则造成spark依赖14后不能运行，

5、解决方案

如果可以的话，在接口机上安装个版本适配的spark客户端就行了，spark客户端是允许多版本共存的，

A 通过spark-submit参数提交指定运行包

通过

--jars或运行参数提交

spark-submit \
--conf spark.app.name="g1" \
--master "local" \
--files /data/nebula/exchange/configs/i1.conf \
--driver-class-path /data/nebula/tools/guava-14.0.jar \
--driver-library-path /data/nebula/tools/guava-14.0.jar \
--conf spark.executor.extraClassPath=/data/nebula/tools/guava-14.0.jar \
--conf spark.executor.extraLibraryPath=/data/nebula/tools/guava-14.0.jar \
--total-executor-cores 15 \
--class com.vesoft.nebula.exchange.Exchange /data/disk01/nebula/exchange/Exchange/nebula-spark-utilsv2/nebula-exchange-2.0.0.jar   -c /data/disk01/nebula/exchange/configs/i1.conf -h

导致集群spark不能执行，

B 重新编译exchange，直接把运行包打包进应用

此处使用maven-shade-plugin改造源代码，重新定义guava14然后打进nebula-java包

注意，exchange直接依赖nebula-java的包，需要先解决nebula-java的依赖问题

① 对guava14重新打包为myguava

1、guava单独打成jar包的pom文件

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.data.guava</groupId>
    <artifactId>my-guava</artifactId>
    <version>1.0</version>

    <dependencies>
        <dependency>
            <groupId>com.google.guava</groupId>
            <artifactId>guava</artifactId>
            <version>14.0</version>
        </dependency>
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-shade-plugin</artifactId>
                <version>3.2.1</version>
                <configuration>
                    <createDependencyReducedPom>false</createDependencyReducedPom>
                </configuration>
                <executions>
                    <execution>
                        <phase>package</phase>
                        <goals>
                            <goal>shade</goal>
                        </goals>
                        <configuration>
                            <relocations>
                                <relocation>
                                    <pattern>com.google.guava</pattern>
                                    <shadedPattern>my.guava</shadedPattern>
                                </relocation>
                                <relocation>
                                    <pattern>com.google.common</pattern>
                                    <shadedPattern>my.guava.common</shadedPattern>
                                </relocation>
                            </relocations>
                            <transformers>
                                <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer" />
                            </transformers>
                        </configuration>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>

</project>

② 编译安装myguava

mvn install:install-file -Dfile=target/guava-1.0.jar -DgroupId=com.data.guava -DartifactId=my-guava  -Dversion=1.0 -Dpackaging=jar

此时java工程已经可以引用

//maven
//        <dependency>
//            <groupId>com.data.guava</groupId>
//            <artifactId>my-guava</artifactId>
//            <version>1.0</version>
//        </dependency>

import my.guava.common.collect.Lists;

③ 编译安装nebula-java

1、拉取代码nebula-java

git clone -b v2.0.0-ga https://github.com/vesoft-inc/nebula-java.git

2、 在pom.xml中注释掉对guava14的引用，引用新的包

<!--        <dependency>-->
<!--            <groupId>com.google.guava</groupId>-->
<!--            <artifactId>guava</artifactId>-->
<!--            <version>${guava.version}</version>-->
<!--        </dependency>-->
        <dependency>
            <groupId>com.data.guava</groupId>
            <artifactId>my-guava</artifactId>
            <version>1.0</version>
        </dependency>

3、修改程序中所有对import com.google.common.的引用

注释掉原导包语句，

在代码报错处，引入import my.guava.common.collect.Maps;

注意，此处import引入时需要注意import my.guava.common.collect.Maps;这行的位置，需要按照字典序排序，否则编译无法通过style检验

4、编译&安装

此时下载某些包可能需要**上网

mvn clean install -Dmaven.test.skip=true -Dgpg.skip -Dmaven.javadoc.skip=true

④ 编译安装nebula-exchange

1、拉取最新代码

git clone -b v2.1.0 https://github.com/vesoft-inc/nebula-spark-utils.git

cd nebula-spark-utils/nebula-exchange

2、修改pom.xml引入新的包

<!--        引入guava特殊版本-->        <dependency>            <groupId>com.data.guava</groupId>            <artifactId>my-guava</artifactId>            <version>1.0</version>        </dependency>

3、修改程序中所有对import com.google.common.的引用

注释掉原导包语句，

在代码报错处，引入import my.guava.common.collect.Maps;

注意，

1、此处import引入时需要注意import my.guava.common.collect.Maps;这行的位置，需要按照字典序排序，否则编译无法通过style检验

2、包import com.google.common.geometry.{S2CellId, S2LatLng}不需要替换，虽然引用路径相同但这是独立工程，不依赖guava

4、编译&安装

此时下载某些包可能需要**上网

mvn clean package -Dmaven.test.skip=true -Dgpg.skip -Dmaven.javadoc.skip=true

⑤ 测试运行

--入库测试数据-groupspark-submit \--conf spark.app.name="g1" \--master "local" \--class com.vesoft.nebula.exchange.Exchange /data/nebula/exchange/Exchange/nebula-spark-utils210new/nebula-exchange-2.1.0.jar -c /data/nebula/exchange/configs/i1.conf -h

可能存在隐患

log4j的版本可能不兼容

参考文献

大数据 Guava冲突问题

https://blog.csdn.net/bigdataf/article/details/108991920

Phoenix/HBase/Hadoop Guava依赖冲突解决办法(guava conflicts in project)

https://www.jianshu.com/p/f73bb7776a3e

HBase/Spark Guava依赖冲突解决方案

https://www.jianshu.com/p/8422ba13f096

解决Hive与Elasticsearch共有库 guava 冲突 NoSuchMethodError

利用maven-shade-plugin解决不兼容依赖冲突

https://www.jianshu.com/p/4e5b0c04fe60

施用 maven shade plugin 解决 jar 或类的多版本冲突

通过maven-shade-plugin 解决Elasticsearch与hbase的jar包冲突问题

https://blog.csdn.net/sunshine920103/article/details/51659936

巧用maven-shade-plugin解决依赖冲突

https://www.jianshu.com/p/ac959f5deac5

使用maven-shade-plugin插件解决Phoenix依赖中的Guava版本冲突问题

https://blog.csdn.net/wwyzxb/article/details/87905952

java 依赖包冲突，使用maven的Shade方式解决

https://www.jianshu.com/p/d9fb7afa634d