chore(deps): bump go.k6.io/k6 from 0.53.0 to 0.54.0

[dependabot]

Bumps go.k6.io/k6 from 0.53.0 to 0.54.0.

Release notes

Sourced from go.k6.io/k6's releases.

v0.54.0

k6 v0.54.0 is here 🎉! This release includes:

• A new experimental CSV module
• New k6 cloud commands for local execution and uploading script files
• New ECMAScript features
• Updated logo and branding

Breaking changes

• #3913 changes the mapping of Golang's math/big.Int type to bigint type in k6.
• #3922 removes lib.Min and lib.Max from k6's Go API, which could affect custom extensions that rely on these functions.
• #3838 removes k6/experimental/timers - they are now available globally and no import is needed.
• #3944 updates to k6/experimental/websockets, which makes the binaryType default value equal to "blob". With this change, k6/experimental/websockets is now compliant with the specification.

New features

Branding changes and logo [#3946](https://github.com/grafana/k6/issues/3946), [#3953](https://github.com/grafana/k6/issues/3953), [#3969](https://github.com/grafana/k6/issues/3969)

As part of joining Grafana Labs in 2021, k6 was renamed to Grafana k6. The original k6 logo and branding was purple, which didn't fit very well next to the Grafana Labs orange logo and all its other products.

In this release, we have a new logo in a new color, and the terminal banner has been redesigned to match the current branding more closely.

New experimental CSV module for efficient CSV data handling [#3743](https://github.com/grafana/k6/issues/3743)

We’ve added a new experimental CSV module to k6 for more efficient and convenient CSV parsing and streaming, addressing the limitations of preexisting JavaScript-based solutions like papaparse.

What is it?

The CSV module offers two key features:

• csv.parse(): This function parses a CSV file into a SharedArray at once using Go-based processing for faster parsing and lower memory usage compared to JavaScript alternatives.
• csv.Parser: This class provides a streaming parser to read CSV files line-by-line, minimizing memory consumption and offering more control over parsing through a stream-like API. This is ideal for scenarios where memory optimization or fine-grained control of the parsing process is crucial.

Benefits for users

• Faster Parsing: csv.parse bypasses most of the JavaScript runtime, offering significant speed improvements for large files.
• Lower Memory Usage: Both solutions support shared memory across virtual users (VUs) with the fs.open function.
• Flexibility: Choose between full-file parsing with csv.parse() or memory-efficient streaming with csv.Parser.

Tradeoffs

• csv.Parse: Parses the entire file in the initialization phase of the test, which can increase startup time and memory usage for large files. Best suited for scenarios where performance is prioritized over memory consumption.
• csv.Parser: Reads the file line-by-line, making it more memory-efficient but potentially slower due to reading overhead for each line. Ideal for scenarios where memory usage is a concern or where fine-grained control over parsing is needed.

Example usage

... (truncated)

Commits

• baba871 Release Notes for v0.54.0 (#3949)
• fc1d5cd Bump Version to v0.54.0
• 7e82c3d Update xk6-websockets to fix readyState bug
• cac2187 Update to browser v.1.8.5
• 86ab6e3 Add fix to prevent events from being dropped
• 48fdc05 Fix dark mode
• 0b14836 Update to 1.8.4 of the browser moduler
• 2c0db5d Update to k6 browser 1.8.3
• 556751c Update to v1.8.2 of browser
• 008cee6 Update to latest browser v1.8.1
• Additional commits viewable in compare view

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