首页 > 解决方案 > 本地节点和远程节点的版本号不同

问题描述

我正在尝试将我的 spark 客户端与 ignite cluster 版本 2.5.0 连接。当我运行我的 spark 提交作业时。

sudo /opt/spark-2.3.0-bin-hadoop2.7/bin/spark-submit --master k8s://https://35.192.214.68 --deploy-mode cluster --name sparkIgnite --class org.blk.igniteSparkResearch.ScalarSharedRDDExample --conf spark.executor.instances=3 --conf spark.app.name=sharedSparkIgnite --conf spark.kubernetes.authenticate.driver.serviceAccountName=ignite --conf spark.kubernetes.container.image=us.gcr.io/nlp-research-198620/ignite-spark:v2 local:///opt/spark/jars/igniteSpark-1.0-SNAPSHOT-jar-with-dependencies.jar

我收到以下错误。

class org.apache.ignite.IgniteException: Failed to start manager: GridManagerAdapter [enabled=true, name=org.apache.ignite.internal.managers.discovery.GridDiscoveryManager

Caused by: class org.apache.ignite.spi.IgniteSpiException: Local node and remote node have different version numbers (node will not join, Ignite does not support rolling updates, so versions must be exactly the same) [locBuildVer=2.5.0, rmtBuildVer=2.4.0, locNodeAddrs=[ignite-cluster-68787659f9-626k6/0:0:0:0:0:0:0:1%lo, /10.8.2.82, /127.0.0.1], rmtNodeAddrs=[sparkignite-8bad224a0187324ba6f98da08e152c5e-driver/0:0:0:0:0:0:0:1%lo, /10.8.2.87, /127.0.0.1], locNodeId=d0c82763-8931-4d66-89ad-2689d8b3d01a, rmtNodeId=b6383f55-ecc6-4d5f-acb2-4bd9970d3fc2]

该错误表明我的 ignite 集群(本地)使用的是 2.5.0,而我的远程 pod 使用的是 2.4.0。但是我拥有的 ignite 包含 2.5.0 的 ignite 映像,那么 2.4.0 版本来自哪里?

绒球

?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>org.blk</groupId>
<artifactId>igniteSpark</artifactId>
<version>1.0-SNAPSHOT</version>


<dependencies>
    <dependency>
        <groupId>org.scala-lang</groupId>
        <artifactId>scala-library</artifactId>
        <version>2.11.8</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.11</artifactId>
        <version>2.3.0</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_2.11</artifactId>
        <version>2.3.0</version>
    </dependency>
    <dependency>
        <groupId>org.apache.ignite</groupId>
        <artifactId>ignite-spark_2.10</artifactId>
        <version>2.5.0</version>
    </dependency>
    <dependency>
        <groupId>org.apache.ignite</groupId>
        <artifactId>ignite-scalar_2.10</artifactId>
        <version>2.5.0</version>
    </dependency>
    <dependency>
        <groupId>org.apache.ignite</groupId>
        <artifactId>ignite-kubernetes</artifactId>
        <version>2.5.0</version>
    </dependency>
</dependencies>

<build>
    <plugins>
        <plugin>
            <groupId>org.scala-tools</groupId>
            <artifactId>maven-scala-plugin</artifactId>
            <version>2.15.2</version>
            <executions>
                <execution>
                    <goals>
                        <goal>compile</goal>
                    </goals>
                </execution>
            </executions>
        </plugin>
        <plugin>
            <artifactId>maven-compiler-plugin</artifactId>
            <version>3.1</version>
            <configuration>
                    <source>1.8</source>
</configuration>
            </plugin>
            <plugin>
                <artifactId>maven-assembly-plugin</artifactId>
                <configuration>
                    <archive>
                        <manifest>
                            <mainClass>org.blk.igniteSparkResearch.ScalarSharedRDDExample</mainClass>
                        </manifest>
                    </archive>
                    <descriptorRefs>
                        <descriptorRef>jar-with-dependencies</descriptorRef>
                    </descriptorRefs>
                </configuration>
                <executions>
                    <execution>
                        <id>make-assembly</id>
                        <phase>package</phase>
                        <goals>
                            <goal>single</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>

</project>

泊坞窗图像

FROM spark:latest 
RUN mkdir -p /opt/spark/jars  
COPY target/igniteSpark-1.0-SNAPSHOT-jar-with-dependencies.jar /opt/spark/jars

在这里,我的 spark 映像是使用 spark-2.3.0 附带的 Dockerfile 构建的

谢谢

标签: apache-sparkkubernetesignite

解决方案


从您的日志中,我看到您有

1)ignite-cluster-68787659f9-626k6 与 2.5.0 2)sparkignite-8bad224a0187324ba6f98da08e152c5e-driver 与 2.4.0 版本。

您能否检查一下您的 spark 配置中是否有 2.5.0 ignite 版本?

https://apacheignite-fs.readme.io/docs/installation-deployment


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