Bump go-ora version to 2.8.24 (#34535) #34639
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Co-authored-by: lu-zhengda <zhengda.lu@datadoghq.com> (cherry picked from commit 51cda65)
Go Package Import DifferencesBaseline: a1e550e
|
Uncompressed package size comparisonComparison with ancestor Diff per package
Decision |
Static quality checks ❌Please find below the results from static quality gates Error
Gate failure full details
Successful checksInfo
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Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: a1e550e Optimization Goals: ✅ No significant changes detected
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| perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
|---|---|---|---|---|---|---|
| ➖ | quality_gate_logs | % cpu utilization | +2.12 | [-0.89, +5.13] | 1 | Logs |
| ➖ | tcp_syslog_to_blackhole | ingress throughput | +0.86 | [+0.80, +0.92] | 1 | Logs |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +0.42 | [-0.48, +1.32] | 1 | Logs |
| ➖ | quality_gate_idle_all_features | memory utilization | +0.34 | [+0.29, +0.39] | 1 | Logs bounds checks dashboard |
| ➖ | file_to_blackhole_1000ms_latency | egress throughput | +0.25 | [-0.53, +1.04] | 1 | Logs |
| ➖ | file_to_blackhole_300ms_latency | egress throughput | +0.03 | [-0.60, +0.66] | 1 | Logs |
| ➖ | file_tree | memory utilization | +0.01 | [-0.05, +0.07] | 1 | Logs |
| ➖ | file_to_blackhole_100ms_latency | egress throughput | +0.01 | [-0.63, +0.65] | 1 | Logs |
| ➖ | file_to_blackhole_0ms_latency_http2 | egress throughput | -0.00 | [-0.84, +0.83] | 1 | Logs |
| ➖ | file_to_blackhole_0ms_latency_http1 | egress throughput | -0.01 | [-0.80, +0.78] | 1 | Logs |
| ➖ | uds_dogstatsd_to_api | ingress throughput | -0.01 | [-0.30, +0.27] | 1 | Logs |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.01 | [-0.06, +0.03] | 1 | Logs |
| ➖ | file_to_blackhole_0ms_latency | egress throughput | -0.03 | [-0.87, +0.81] | 1 | Logs |
| ➖ | file_to_blackhole_500ms_latency | egress throughput | -0.06 | [-0.84, +0.72] | 1 | Logs |
| ➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | -0.19 | [-0.66, +0.28] | 1 | Logs |
| ➖ | quality_gate_idle | memory utilization | -0.20 | [-0.24, -0.17] | 1 | Logs bounds checks dashboard |
Bounds Checks: ✅ Passed
| perf | experiment | bounds_check_name | replicates_passed | links |
|---|---|---|---|---|
| ✅ | file_to_blackhole_0ms_latency | lost_bytes | 10/10 | |
| ✅ | file_to_blackhole_0ms_latency | memory_usage | 10/10 | |
| ✅ | file_to_blackhole_0ms_latency_http1 | lost_bytes | 10/10 | |
| ✅ | file_to_blackhole_0ms_latency_http1 | memory_usage | 10/10 | |
| ✅ | file_to_blackhole_0ms_latency_http2 | lost_bytes | 10/10 | |
| ✅ | file_to_blackhole_0ms_latency_http2 | memory_usage | 10/10 | |
| ✅ | file_to_blackhole_1000ms_latency | memory_usage | 10/10 | |
| ✅ | file_to_blackhole_1000ms_latency_linear_load | memory_usage | 10/10 | |
| ✅ | file_to_blackhole_100ms_latency | lost_bytes | 10/10 | |
| ✅ | file_to_blackhole_100ms_latency | memory_usage | 10/10 | |
| ✅ | file_to_blackhole_300ms_latency | lost_bytes | 10/10 | |
| ✅ | file_to_blackhole_300ms_latency | memory_usage | 10/10 | |
| ✅ | file_to_blackhole_500ms_latency | lost_bytes | 10/10 | |
| ✅ | file_to_blackhole_500ms_latency | memory_usage | 10/10 | |
| ✅ | quality_gate_idle | intake_connections | 10/10 | bounds checks dashboard |
| ✅ | quality_gate_idle | memory_usage | 10/10 | bounds checks dashboard |
| ✅ | quality_gate_idle_all_features | intake_connections | 10/10 | bounds checks dashboard |
| ✅ | quality_gate_idle_all_features | memory_usage | 10/10 | bounds checks dashboard |
| ✅ | quality_gate_logs | intake_connections | 10/10 | |
| ✅ | quality_gate_logs | lost_bytes | 10/10 | |
| ✅ | quality_gate_logs | memory_usage | 10/10 |
Explanation
Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%
Performance changes are noted in the perf column of each table:
- ✅ = significantly better comparison variant performance
- ❌ = significantly worse comparison variant performance
- ➖ = no significant change in performance
A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".
For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:
-
Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
-
Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.
-
Its configuration does not mark it "erratic".
CI Pass/Fail Decision
✅ Passed. All Quality Gates passed.
- quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_idle, bounds check intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, bounds check intake_connections: 10/10 replicas passed. Gate passed.
sabrina-datadog
approved these changes
Mar 3, 2025
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Co-authored-by: lu-zhengda zhengda.lu@datadoghq.com
(cherry picked from commit 51cda65)
What does this PR do?
Bumps go-ora version from 2.8.19 to 2.8.24 to get sijms/go-ora#633.
Generated change by updating 2.8.19->2.8.24 in go.mod, then running
go get .
go mod tidy
inv generate-licenses
Motivation
Should help address https://datadoghq.atlassian.net/browse/SDBM-1471. As a result, this should be back ported into 7.64 agent release.
Describe how you validated your changes
Possible Drawbacks / Trade-offs
Additional Notes