Bump github.com/pulumi/pulumi/sdk/v3 from 3.121.0 to 3.122.0 in /test/new-e2e

[dependabot[bot]]

Bumps github.com/pulumi/pulumi/sdk/v3 from 3.121.0 to 3.122.0.

Release notes

Sourced from github.com/pulumi/pulumi/sdk/v3's releases.

v3.122.0

3.122.0 (2024-07-01)

Features

• [cli] Set the --continue-on-error flag with PULUMI_CONTINUE_ON_ERROR environment variable #16442

• [sdk/nodejs] Parallelize Construct and Call calls in the Node.js SDK #16428

• [sdk/python] Support --exclude-protected for destroy in the Python automation SDK #16457

Bug Fixes

• [auto] Protect access to transport.UnsupportedCapabilities inside repo.FetchContext #16517

• [cli] Disable default Cobra completions in the CLI #16540

• [engine] Fix an issue with asset archives not working with paths outside the working directory. #16455

• [engine] Don't re-delete resources that are marked as pendingReplacement #16510

• [cli/display] Print a fully qualified stack name on pulumi stack --show-name --fully-qualify-stack-names #16453

• [cli/display] Display [retain] in all cases of delete retention #16506

• [sdkgen/dotnet] Bump the default version range for the referenced Pulumi package to a version that supports Config.GetDouble #16483

• [cli/new] Add not-found markers to missing executables for packagemanagers #16488

• [sdk/go] Fix concurrent map write when registering transform callbacks #16444

• [sdk/nodejs] Fix race condition when registering stack transforms #16443

• [sdk/nodejs] Fix Construct and Call calls in the Node.js SDK sharing state #16487

... (truncated)

Changelog

Sourced from github.com/pulumi/pulumi/sdk/v3's changelog.

3.122.0 (2024-07-01)

Features

• [cli] Set the --continue-on-error flag with PULUMI_CONTINUE_ON_ERROR environment variable #16442

• [sdk/nodejs] Parallelize Construct and Call calls in the Node.js SDK #16428

• [sdk/python] Support --exclude-protected for destroy in the Python automation SDK #16457

Bug Fixes

• [auto] Protect access to transport.UnsupportedCapabilities inside repo.FetchContext #16517

• [cli] Disable default Cobra completions in the CLI #16540

• [engine] Fix an issue with asset archives not working with paths outside the working directory. #16455

• [engine] Don't re-delete resources that are marked as pendingReplacement #16510

• [cli/display] Print a fully qualified stack name on pulumi stack --show-name --fully-qualify-stack-names #16453

• [cli/display] Display [retain] in all cases of delete retention #16506

• [sdkgen/dotnet] Bump the default version range for the referenced Pulumi package to a version that supports Config.GetDouble #16483

• [cli/new] Add not-found markers to missing executables for packagemanagers #16488

• [sdk/go] Fix concurrent map write when registering transform callbacks #16444

• [sdk/nodejs] Fix race condition when registering stack transforms #16443

• [sdk/nodejs] Fix Construct and Call calls in the Node.js SDK sharing state #16487

... (truncated)

Commits

• 2f4b26b rewrite the URN when resources are being moved between projects (#16523)
• a9621cf Fix NodeJS SDK mocking of custom resource reads (#16542)
• 531036a Provide installation instructions for the python typechecker (#16539)
• a1707ad Disable default Cobra completion commands (#16540)
• a0b67cd Update pu/pu to support deployment run command (#16492)
• 82ca0cc only retry tests when they are running in the merge queue (#16537)
• bcafe67 Update goreleaser/goreleaser-action (#16534)
• bbadaae Prepare for v3.122.0 release (#16535)
• 969e0b9 Conformance test for provider pre-release versions (#16498)
• 65f919f mark the whole CI workflow as fail-fast (#16524)
• Additional commits viewable in compare view

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Regression Detector

Regression Detector Results

Run ID: dffa7f86-baaa-4469-83c0-0b557421f6bf Metrics dashboard Target profiles

Baseline: 671f875b21bf84ec8b0d44cdd8cf1d450d808dc4 Comparison: f859e05f76aee785ea7eef088e923b887b525ca3

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 | links | |------|----------------------------|--------------------|----------|-----------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | ➖ | tcp_syslog_to_blackhole | ingress throughput | +5.37 | [-7.73, +18.47] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Atcp_syslog_to_blackhole%20run_id%3Adffa7f86-baaa-4469-83c0-0b557421f6bf&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719912732000&to_ts=1719924132000&live=false) | | ➖ | pycheck_1000_100byte_tags | % cpu utilization | +2.35 | [-2.47, +7.16] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Apycheck_1000_100byte_tags%20run_id%3Adffa7f86-baaa-4469-83c0-0b557421f6bf&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719912732000&to_ts=1719924132000&live=false) | | ➖ | basic_py_check | % cpu utilization | +1.24 | [-1.34, +3.82] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Abasic_py_check%20run_id%3Adffa7f86-baaa-4469-83c0-0b557421f6bf&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719912732000&to_ts=1719924132000&live=false) | | ➖ | idle | memory utilization | +0.53 | [+0.50, +0.56] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Aidle%20run_id%3Adffa7f86-baaa-4469-83c0-0b557421f6bf&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719912732000&to_ts=1719924132000&live=false) | | ➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.00, +0.00] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Auds_dogstatsd_to_api%20run_id%3Adffa7f86-baaa-4469-83c0-0b557421f6bf&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719912732000&to_ts=1719924132000&live=false) | | ➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.00 | [-0.01, +0.01] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Atcp_dd_logs_filter_exclude%20run_id%3Adffa7f86-baaa-4469-83c0-0b557421f6bf&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719912732000&to_ts=1719924132000&live=false) | | ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.06 | [-0.96, +0.84] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Auds_dogstatsd_to_api_cpu%20run_id%3Adffa7f86-baaa-4469-83c0-0b557421f6bf&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719912732000&to_ts=1719924132000&live=false) | | ➖ | otel_to_otel_logs | ingress throughput | -0.20 | [-1.02, +0.63] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Aotel_to_otel_logs%20run_id%3Adffa7f86-baaa-4469-83c0-0b557421f6bf&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719912732000&to_ts=1719924132000&live=false) | | ➖ | file_tree | memory utilization | -0.71 | [-0.77, -0.65] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Afile_tree%20run_id%3Adffa7f86-baaa-4469-83c0-0b557421f6bf&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719912732000&to_ts=1719924132000&live=false) |

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".