chore(deps): Bump rdkafka from 0.35.0 to 0.36.2

[dependabot]

Bumps rdkafka from 0.35.0 to 0.36.2.

Changelog

Sourced from rdkafka's changelog.

0.36.2 (2024-01-16)

• Update BaseConsumer::poll to return None when handling rebalance or offset commit events.

0.36.0 (2023-11-08)

• Pivot the library from using librdkafka's callback interface to using the event interface. The public API of the crate does not change.

Commits

• 5ca6ff5 Release v0.36.2.
• 6154c84 Release v0.36.1.
• 9b44aba Merge pull request #644 from fede1024/scanterog/return-none-on-rebalance
• d6ec6e1 Return back to the caller on rebalance events
• 738590b Merge pull request #645 from fede1024/davidblewett/tune-docker-compose
• 321c040 Avoid topic pollution by prefixing with test name.
• e347f9a Disable valgrind for now, and start up kafka/zk before starting building
• 8f37c49 Use a short timeout instead of now_or_never.
• 0c5c131 Release v0.36.0.
• c719e55 Merge pull request #617 from fede1024/scanterog/event-based-client
• Additional commits viewable in compare view

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Regression Detector Results

Run ID: c715a054-c64a-4584-a96b-aeb837b8a815
Baseline: c30a45f
Comparison: a19bb1d
Total CPUs: 7

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

No significant changes in experiment optimization goals

Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%

There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI
➖	syslog_log2metric_humio_metrics	ingress throughput	+2.62	[+2.46, +2.78]
➖	syslog_humio_logs	ingress throughput	+1.85	[+1.74, +1.97]
➖	datadog_agent_remap_datadog_logs	ingress throughput	+1.52	[+1.43, +1.62]
➖	datadog_agent_remap_datadog_logs_acks	ingress throughput	+1.45	[+1.35, +1.54]
➖	syslog_loki	ingress throughput	+1.42	[+1.39, +1.46]
➖	http_text_to_http_json	ingress throughput	+1.08	[+0.96, +1.21]
➖	datadog_agent_remap_blackhole	ingress throughput	+1.07	[+0.98, +1.17]
➖	syslog_log2metric_tag_cardinality_limit_blackhole	ingress throughput	+1.02	[+0.90, +1.14]
➖	socket_to_socket_blackhole	ingress throughput	+0.85	[+0.79, +0.91]
➖	otlp_grpc_to_blackhole	ingress throughput	+0.71	[+0.61, +0.80]
➖	splunk_hec_route_s3	ingress throughput	+0.45	[-0.05, +0.95]
➖	http_to_http_acks	ingress throughput	+0.32	[-1.00, +1.63]
➖	fluent_elasticsearch	ingress throughput	+0.30	[-0.16, +0.76]
➖	http_to_http_noack	ingress throughput	+0.19	[+0.09, +0.29]
➖	http_to_http_json	ingress throughput	+0.04	[-0.03, +0.12]
➖	splunk_hec_to_splunk_hec_logs_acks	ingress throughput	+0.00	[-0.16, +0.16]
➖	splunk_hec_indexer_ack_blackhole	ingress throughput	-0.00	[-0.15, +0.14]
➖	splunk_hec_to_splunk_hec_logs_noack	ingress throughput	-0.03	[-0.14, +0.09]
➖	enterprise_http_to_http	ingress throughput	-0.09	[-0.16, -0.02]
➖	http_to_s3	ingress throughput	-0.38	[-0.66, -0.10]
➖	syslog_splunk_hec_logs	ingress throughput	-0.57	[-0.63, -0.51]
➖	datadog_agent_remap_blackhole_acks	ingress throughput	-0.89	[-1.00, -0.77]
➖	http_elasticsearch	ingress throughput	-1.30	[-1.36, -1.23]
➖	file_to_blackhole	egress throughput	-1.50	[-3.99, +0.99]
➖	otlp_http_to_blackhole	ingress throughput	-1.81	[-1.95, -1.66]
➖	syslog_regex_logs2metric_ddmetrics	ingress throughput	-1.98	[-2.08, -1.87]
➖	syslog_log2metric_splunk_hec_metrics	ingress throughput	-1.98	[-2.12, -1.85]

Explanation

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:

1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.

2. 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.

3. Its configuration does not mark it "erratic".

[datadog-vectordotdev]

Datadog Report

Branch report: dependabot/cargo/rdkafka-0.36.2
Commit report: 5574846
Test service: vector

✅ 0 Failed, 7 Passed, 0 Skipped, 25.44s Total Time

[dependabot]

A newer version of rdkafka exists, but since this PR has been edited by someone other than Dependabot I haven't updated it. You'll get a PR for the updated version as normal once this PR is merged.

[pront]

@dependabot recreate

[dependabot]

Superseded by #21929.