[Bug] [FLINK SQL] Could not load service provider for table factories.

[wangsan1988]

Search before asking

• I had searched in the issues and found no similar issues.

What happened

run the demo job by quick start of offical website .https://dinky.org.cn/docs/next/get_started/quick_experience
get a error : Could not load service provider for table factories. java.util.ServiceConfigurationError: org.apache.flink.table.factories.TableFactory: Provider org.apache.flink.table.planner.StreamPlannerFactory not a subtype.

job submit to yarn is successfully，then get a error : ava.lang.IndexOutOfBoundsException: Index: 0, Size: 0 , getYarnContainerLog

i think "Could not load service provider for table factories." it the root cause ,seem like jars or dependence problem ,but don't know how to fix it.
d6b42e62-5693-4d93-8656-61aff01022ad.txt

What you expected to happen

mate the demo job run

How to reproduce

• dinky 1.0.0
• flink 1.18.1
• here is jars at /opt/software/dinky/extends/flink1.18
  
• here is the cluster config
  

Anything else

No response

Version

1.0.0

Are you willing to submit PR?

• Yes I am willing to submit a PR!

Code of Conduct

• I agree to follow this project's Code of Conduct

[wangsan1988]

d6b42e62-5693-4d93-8656-61aff01022ad.txt above is the full log file.
can anyone help,thanks

[wangsan1988]

when change to local mode ,then get another error:
Caused by: org.apache.flink.table.api.ValidationException: Multiple factories for identifier 'datagen' that implement 'org.apache.flink.table.factories.DynamicTableFactory' found in the classpath.

Ambiguous factory classes are:

org.apache.flink.connector.datagen.table.DataGenTableSourceFactory
org.apache.flink.table.factories.DataGenTableSourceFactory

[github-actions]

Hello @wangsan1988, thank you for your feedback, but this issue will not be fixed. You can search for keywords in the Issue list to view it. Issues are marked `Wont Fix`

你好 @wangsan1988, 感谢你的反馈, 但是此问题不会被修复，你可以在 Issue 列表中搜索关键字来查看, Issues 标注为 `Wont Fix` 。

[Zzm0809]

排查环境

[wangsan1988]

算了，还是试试streampark了