chore: add da posting strategy to docs #2992
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Summary of ChangesHello @tac0turtle, 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 enhances the project's documentation by introducing a new section on Data Availability (DA) layer batching strategies and their associated configuration parameters. The update provides users with clear guidance on how to configure block submission to the DA layer, enabling them to optimize for latency, cost, or throughput based on their specific needs. This addition improves the clarity and completeness of the configuration reference. Highlights
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Claude finished @tac0turtle's task in 1m 10s —— View job Code Review Complete ✓Todo List
SummaryThis PR adds comprehensive documentation for DA (Data Availability) batching strategies and their associated configuration parameters. The documentation is well-structured and provides clear guidance for users configuring their ev-node deployments. Overall Assessment✅ Strengths:
1. Table of Contents Inconsistency (Minor)Location: The new TOC entry for "DA Request Timeout" was added as part of this PR, but this configuration parameter already existed in the documentation (lines 498-513 in the original file). The TOC update appears to be fixing a previous omission rather than documenting something new in this PR. Observation: This is actually a good catch and fix, but it suggests the documentation may have been out of sync. 2. Strategy Description Clarity (Minor Enhancement)Location: The description states "All strategies pass through the DA submitter which performs additional size checks and may further split batches that exceed the DA layer's blob size limit." Suggestion: Consider adding a brief note about what happens when batches are split (e.g., "split batches are submitted as separate DA transactions"). This would help users understand the cost implications. 3. Default Value Alignment (Documentation)Location: The description says "When set to 0, defaults to the DA BlockTime value" and the default is listed as Suggestion: Consider: 4. Parameter Interdependencies (Enhancement)Location: Throughout the new batching configuration section The documentation explains which parameters apply to which strategies, but users might benefit from a summary table showing the relationship: | Strategy | Uses Size Threshold | Uses Max Delay | Uses Min Items |
|------------|---------------------|----------------|----------------|
| immediate | ❌ | ❌ | ✅ |
| size | ✅ | ❌ | ✅ |
| time | ❌ | ✅ | ✅ |
| adaptive | ✅ | ✅ | ✅ |This would make it easier to understand configuration requirements at a glance. 5. Technical Accuracy Check (Question)Location: The documentation mentions "fraction of max blob size" for the size threshold. Can you confirm:
If it varies or requires configuration, it might be worth adding a note or cross-reference. Documentation Quality Checklist✅ Formatting: Consistent markdown, proper code blocks, correct heading hierarchy RecommendationsPriority: Low - The documentation is production-ready as-is. The suggestions above are enhancements that would improve usability but are not blockers.
Approval Recommendation: ✅ Approve - This is high-quality documentation that significantly improves the configuration reference. The minor suggestions can be addressed in follow-up PRs if desired. |
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Code Review
This pull request adds documentation for new Data Availability (DA) batching strategy configurations. The new documentation is detailed and covers several new parameters. My review found a couple of minor inaccuracies in the descriptions when compared to the implementation code. Specifically, the valid range for batch_size_threshold could be described more precisely, and the statement about batch_min_items being respected by all strategies is not entirely correct as the immediate strategy does not use it. I've added suggestions to clarify these points in the documentation.
| ### DA Batch Size Threshold | ||
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| **Description:** | ||
| The minimum blob size threshold (as a fraction of the maximum blob size, between 0.0 and 1.0) before submitting a batch. Only applies to the `size` and `adaptive` strategies. For example, a value of 0.8 means the batch will be submitted when it reaches 80% of the maximum blob size. |
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The description states the range for batch_size_threshold is between 0.0 and 1.0. This is slightly ambiguous. The implementation defaults to 0.8 if the value is less than or equal to 0.0. To be more precise, it would be better to state that the value must be in the range (0.0, 1.0].
| The minimum blob size threshold (as a fraction of the maximum blob size, between 0.0 and 1.0) before submitting a batch. Only applies to the `size` and `adaptive` strategies. For example, a value of 0.8 means the batch will be submitted when it reaches 80% of the maximum blob size. | |
| The minimum blob size threshold (as a fraction of the maximum blob size, in the range (0.0, 1.0]) before submitting a batch. Only applies to the `size` and `adaptive` strategies. For example, a value of 0.8 means the batch will be submitted when it reaches 80% of the maximum blob size. |
| ### DA Batch Min Items | ||
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| **Description:** | ||
| The minimum number of items (headers or data) to accumulate before considering submission. This helps avoid submitting single items when more are expected soon, improving batching efficiency. All strategies respect this minimum. |
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The documentation states that "All strategies respect this minimum." However, based on the implementation of ImmediateStrategy, it seems to submit as soon as pendingCount > 0 without checking for minItems. The size, time, and adaptive strategies do respect this minimum. The documentation should be updated to reflect this.
| The minimum number of items (headers or data) to accumulate before considering submission. This helps avoid submitting single items when more are expected soon, improving batching efficiency. All strategies respect this minimum. | |
| The minimum number of items (headers or data) to accumulate before considering submission. This helps avoid submitting single items when more are expected soon, improving batching efficiency. This is respected by the `size`, `time`, and `adaptive` strategies. |
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #2992 +/- ##
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- Coverage 59.30% 59.24% -0.07%
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Files 105 105
Lines 9998 9998
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- Hits 5929 5923 -6
- Misses 3442 3447 +5
- Partials 627 628 +1
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