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MOLT 1.3.1 release notes #20171
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MOLT 1.3.1 release notes #20171
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@Jeremyyang920 @ryanluu12345 @crash-overdrive A number of these release notes mention new metrics. As I mentioned previously, we should provide the metric names if a user is expected to be able to use them. If the metrics are internal, then I suggest not documenting them here. |
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src/current/releases/molt.md
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- Improved visibility into queue depth between each source frontend and the backend applier to the target. Updated logging to use lower log levels with clearer, less alarming wording. | ||
- Improved throughput for tables in the replication stream that have no dependencies on one another. This increases parallelism and minimizes blocking of transactions that are mutually independent. | ||
- The best effort window is now disabled by default to prevent unexpected mode switches that can lead to consistency issues and stalled replication due to failed target applies. | ||
- Added checkpointing support for the Pebble stager in CockroachDB-to-X replication mode to better handle failures and ensure minimal data replay for consistency. |
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@ryanluu12345 This shouldn't be in the release note since the pebble stager version isint public right?
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Yes good point, let's remove anything referencing Pebble stager until we actually release it publically.
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lgtm with minor non-blocking suggestions
- Added new metrics `target_apply_queue_utilization_percent` and `target_apply_queue_depth` to track target apply queue utilization, indicating when the queue should be resized. These metrics are only relevant to PostgreSQL, Oracle, and CockroachDB sources. | ||
- Oracle sources now support configurable backpressure between the source and target applier. The new `target_apply_queue_depth` metric tracks queue depth. | ||
- Improved visibility into queue depth between each source frontend and the backend applier to the target. Updated logging to use lower log levels with clearer, less alarming wording. | ||
- Improved throughput for tables in the replication stream that have no dependencies on one another. This increases parallelism and minimizes blocking of transactions that are mutually independent. |
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- Improved throughput for tables in the replication stream that have no dependencies on one another. This increases parallelism and minimizes blocking of transactions that are mutually independent. | |
- Improved throughput for independent tables in the replication stream. This increases parallelism and minimizes blocking of transactions that are mutually independent. |
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Keeping this one for clarity
Co-authored-by: Florence Morris <[email protected]>
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