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consumer: ignore fallback dml event #3864
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Summary of ChangesHello @wk989898, 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 an issue where consumers might process DML events that are older than the current partition watermark, leading to potential data inconsistencies. By implementing a conditional check, the system now explicitly ignores these outdated events, ensuring that only relevant and ordered data is processed. This change enhances the robustness and correctness of data replication across different message queue integrations. Highlights
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Code Review
This pull request introduces a check to ignore DML events with a commit timestamp older than the partition's watermark. This prevents processing of "fallback" or out-of-order events that are already considered resolved. The change is applied to both the Kafka and Pulsar consumers.
My review focuses on improving the clarity of the new log messages. The core logic of the change is correct and effectively addresses the issue.
| log.Warn("DML Event fallback row, since less than the partition watermark, ignore it", | ||
| zap.Int64("tableID", tableID), zap.Int32("partition", group.Partition), | ||
| zap.Uint64("commitTs", commitTs), zap.Any("offset", offset), | ||
| zap.Uint64("watermark", progress.watermark), zap.Any("watermarkOffset", progress.watermarkOffset), | ||
| zap.String("schema", schema), zap.String("table", table)) |
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The log message is a bit verbose. The reason for ignoring the event ("since less than the partition watermark") is already evident from the logged commitTs and watermark fields. A more concise message would improve log readability and maintainability.
| log.Warn("DML Event fallback row, since less than the partition watermark, ignore it", | |
| zap.Int64("tableID", tableID), zap.Int32("partition", group.Partition), | |
| zap.Uint64("commitTs", commitTs), zap.Any("offset", offset), | |
| zap.Uint64("watermark", progress.watermark), zap.Any("watermarkOffset", progress.watermarkOffset), | |
| zap.String("schema", schema), zap.String("table", table)) | |
| log.Warn("Ignore fallback DML event", | |
| zap.Int64("tableID", tableID), zap.Int32("partition", group.Partition), | |
| zap.Uint64("commitTs", commitTs), zap.Any("offset", offset), | |
| zap.Uint64("watermark", progress.watermark), zap.Any("watermarkOffset", progress.watermarkOffset), | |
| zap.String("schema", schema), zap.String("table", table)) |
| log.Warn("DML Event fallback row, since less than the partition watermark, ignore it", | ||
| zap.Int64("tableID", tableID), zap.Int32("partition", group.Partition), | ||
| zap.Uint64("commitTs", commitTs), zap.Uint64("watermark", progress.watermark), | ||
| zap.String("schema", schema), zap.String("table", table)) |
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The log message is a bit verbose. The reason for ignoring the event ("since less than the partition watermark") is already evident from the logged commitTs and watermark fields. A more concise message would improve log readability and maintainability.
| log.Warn("DML Event fallback row, since less than the partition watermark, ignore it", | |
| zap.Int64("tableID", tableID), zap.Int32("partition", group.Partition), | |
| zap.Uint64("commitTs", commitTs), zap.Uint64("watermark", progress.watermark), | |
| zap.String("schema", schema), zap.String("table", table)) | |
| log.Warn("Ignore fallback DML event", | |
| zap.Int64("tableID", tableID), zap.Int32("partition", group.Partition), | |
| zap.Uint64("commitTs", commitTs), zap.Uint64("watermark", progress.watermark), | |
| zap.String("schema", schema), zap.String("table", table)) |
| val, ok := defaultVal.(string) | ||
| if !ok { | ||
| log.Debug("default value is not string", zap.Any("defaultValue", defaultVal)) | ||
| log.Warn("default value is not string", zap.Any("defaultValue", defaultVal)) |
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If this is only used in the testing code, set it to panic.
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: 3AceShowHand, wlwilliamx The full list of commands accepted by this bot can be found here. The pull request process is described here DetailsNeeds approval from an approver in each of these files:
Approvers can indicate their approval by writing |
[LGTM Timeline notifier]Timeline:
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/retest |
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/test pull-cdc-kafka-integration-heavy |
1 similar comment
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/test pull-cdc-kafka-integration-heavy |
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/retest |
1 similar comment
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/retest |
What problem does this PR solve?
Issue Number: close #3662 revert #3845
What is changed and how it works?
This pull request addresses an issue where consumers might process DML events that are older than the current partition watermark, leading to potential data inconsistencies. By implementing a conditional check, the system now explicitly ignores these outdated events, ensuring that only relevant and ordered data is processed. This change enhances the robustness and correctness of data replication across different message queue integrations.
Check List
Tests
Questions
Will it cause performance regression or break compatibility?
Do you need to update user documentation, design documentation or monitoring documentation?
Release note