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fix: state window handle all-null datablock error #33439
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Summary of ChangesHello @Tony2h, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request resolves a critical issue in the state window aggregation mechanism, specifically addressing errors that occurred when processing data blocks containing entirely null values or when state windows extended across multiple data blocks. The changes involve significant refactoring of the aggregation logic, introducing more robust handling for partial data blocks and nulls, and ensuring that state windows are correctly processed, initialized, and reset. This enhances the reliability and accuracy of state window operations, especially in complex data streaming scenarios. Highlights
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/gemini review |
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Code Review
This pull request addresses an error in state window handling when a datablock is entirely composed of null values. The fix involves a significant refactoring of the state window aggregation logic. Now, it buffers unprocessed parts of a data block and merges them with subsequent blocks, which correctly handles state windows that span across multiple blocks, especially in the presence of nulls. The logic has also been improved by extracting helper functions like processClosedStateWindow, which enhances code clarity and maintainability. My review includes a critical comment to remove a leftover debug print statement and a couple of medium-severity suggestions for code and repository hygiene.
| SExprSupp* pSup = &pOperator->exprSupp; | ||
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| SColumnInfoData* pStateColInfoData = taosArrayGet(pBlock->pDataBlock, pInfo->stateCol.slotId); | ||
| printDataBlock(pBlock, "tooony", "tooony", 9898); |
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| T_LONG_JMP(pTaskInfo->env, code); | ||
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| @@ -0,0 +1,1808 @@ | |||
| '2025-10-10 14:16:32',null,-1 | |||
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Adding large, generated data files like this one to the repository can significantly increase its size over time. It's generally better practice to generate such files on-the-fly during the test setup phase (using the accompanying test/dataMoreThan4096.py script) and then clean them up afterward. This keeps the repository lean and avoids bloating the git history.
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Description
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Checklist
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