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Posted to dev@rocketmq.apache.org by "ChengJie1053 (via GitHub)" <gi...@apache.org> on 2023/05/19 09:24:38 UTC
[GitHub] [rocketmq-externals] ChengJie1053 opened a new issue, #910: spark Literal must have a corresponding value to string, but class String found.
ChengJie1053 opened a new issue, #910:
URL: https://github.com/apache/rocketmq-externals/issues/910
java.lang.IllegalArgumentException: requirement failed: Literal must have a corresponding value to string, but class String found.
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Re: [I] spark Literal must have a corresponding value to string, but class String found. [rocketmq-externals]
Posted by "RockteMQ-AI (via GitHub)" <gi...@apache.org>.
RockteMQ-AI commented on issue #910:
URL: https://github.com/apache/rocketmq-externals/issues/910#issuecomment-5213706182
**Issue Evaluation**
Category: `type/bug` | Status: **Needs Info**
This appears to be a Spark compatibility issue with rocketmq-spark-connector, but the report lacks critical details:
- [ ] RocketMQ Spark connector version
- [ ] Spark version being used
- [ ] Complete stack trace (the image is not accessible)
- [ ] Code snippet showing how the Literal is being used
- [ ] Whether this is a regression from a previous version
The error "Literal must have a corresponding value to string, but class String found" suggests a type mismatch in Spark SQL Literal handling, possibly due to Spark version incompatibility.
Please provide the missing information so we can investigate further.
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*Automated evaluation by github-manager*
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Re: [I] spark Literal must have a corresponding value to string, but class String found. [rocketmq-externals]
Posted by "RockteMQ-AI (via GitHub)" <gi...@apache.org>.
RockteMQ-AI commented on issue #910:
URL: https://github.com/apache/rocketmq-externals/issues/910#issuecomment-5655102672
**Issue Evaluation**
Category: `type/bug` | Status: **Needs Info**
The Spark Literal type mismatch error suggests a compatibility issue between the rocketmq-spark connector and your Spark version. This is an old issue (2023) — please check if you're using a compatible Spark version for the connector.
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*Automated evaluation by github-manager*
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