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fix 3.0 cases releated to state window #33756
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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 addresses several issues related to state window operations in version 3.0, primarily focusing on the correct handling of duplicate timestamps. The changes ensure that window aggregation operators (count, event, and time windows) properly manage timestamps, preventing incorrect calculations or unexpected behavior when duplicate timestamps are present. Corresponding test cases have been updated to validate these fixes, including expecting errors for invalid state window queries and verifying the accuracy of aggregation results under the new logic. Highlights
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Code Review
This pull request addresses issues related to state window aggregations by introducing checks to prevent duplicate timestamps, which is a crucial correctness fix. The changes across the C source files are consistent and logically sound. The test files have been updated accordingly to reflect this new behavior, including modifying a test to expect an error and adjusting test data to prevent the new error condition. Overall, the changes are well-implemented. I have one suggestion to improve test code maintainability by removing some duplicated test logic.
| tdSql.checkData(0, 3, 4) | ||
| tdSql.checkData(0, 4, 3) | ||
| tdSql.checkData(0, 5, 4) |
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Description
Please briefly describe the code changes in this pull request.
Jira: https://jira.taosdata.com:18080/browse/TD-
Checklist
Please check the items in the checklist if applicable.