4paradigm / 4paradigm/OpenMLDB
Fail to stop yarn job when kerberos is enabled
- 主要语言
- C++
- 星标
- 1.7k
- 派生
- 331
- 平均合并
- 12 天 12 小时
- 30 天内合并 PR
- 1
描述
**Bug Description**
We create the yarn client without initializing with keytab which may be work.
```
def createYarnClient(): YarnClient = {
val config = new Configuration()
config.addResource(new Path(TaskManagerConfig.getHadoopConfDir, "core-site.xml"))
config.addResource(new Path(TaskManagerConfig.getHadoopConfDir, "hdfs-site.xml"))
config.addResource(new Path(TaskManagerConfig.getHadoopConfDir, "yarn-site.xml"))
config.addResource(new Path(TaskManagerConfig.getHadoopConfDir, "mapred-site.xml"))
// Create yarn client
val yarnClient = YarnClient.createYarnClient()
yarnClient.init(config)
yarnClient.start()
yarnClient
}
```
贡献指南
调研方向
Look at the Yarn client creation code in the issue, likely in a Scala file related to task management. Understand how Kerberos authentication works with Yarn. Check the project's configuration loading for keytab files. The fix involves initializing the Yarn client with proper Kerberos credentials. Test by running a Yarn job with Kerberos enabled to verify the stop functionality works.
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评估
- 技术栈
- hadoop, scala
- 领域
- backend, databases, machine-learning
- Issue 类型
- 缺陷
- 难度
- 3/5
- 预计耗时
- 1-2 天
- 活跃度
- 停滞
- 描述清晰度
- 基本清楚
- 新手友好度
- 45/100