Summary of Changes

Hello @kamilkisiela, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request overhauls the internal mechanism for writing and escaping JSON strings, adopting a high-performance, SIMD-optimized solution. The goal is to boost the efficiency of JSON serialization within the executor. Additionally, it refines the estimation of final response sizes to better reflect the actual memory footprint after JSON formatting.

Highlights

• Refactored JSON String Escaping: The core logic for writing and escaping JSON strings has been completely rewritten, moving from a custom implementation to a highly optimized, SIMD-accelerated approach inspired by the cloudwego/sonic-rs project. This change is expected to significantly improve performance for JSON serialization.
• New Dependency: sonic-simd: The sonic-simd crate has been introduced and integrated to provide the underlying SIMD capabilities for the new string escaping logic, enhancing efficiency by processing multiple bytes simultaneously.
• Improved Response Size Estimation: The estimate_final_response_size function now includes a 20% buffer in its calculation. This buffer accounts for the additional overhead introduced by JSON syntax, character escaping, and other formatting, leading to more accurate size predictions.
• Enhanced Test Coverage: New test cases have been added for the format_string function, thoroughly validating the correctness of the updated JSON string quoting and escaping logic, including scenarios with special characters and long strings.

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✅ k6-benchmark results

     ✓ response code was 200
     ✓ no graphql errors
     ✓ valid response structure

     █ setup

     checks.........................: 100.00% ✓ 207636      ✗ 0    
     data_received..................: 6.1 GB  201 MB/s
     data_sent......................: 81 MB   2.7 MB/s
     http_req_blocked...............: avg=3.21µs   min=662ns   med=1.72µs  max=12.47ms  p(90)=2.58µs  p(95)=3.06µs  
     http_req_connecting............: avg=535ns    min=0s      med=0s      max=1.88ms   p(90)=0s      p(95)=0s      
     http_req_duration..............: avg=21.19ms  min=2.28ms  med=20.18ms max=137.92ms p(90)=28.93ms p(95)=32.23ms 
       { expected_response:true }...: avg=21.19ms  min=2.28ms  med=20.18ms max=137.92ms p(90)=28.93ms p(95)=32.23ms 
     http_req_failed................: 0.00%   ✓ 0           ✗ 69232
     http_req_receiving.............: avg=146.19µs min=26.77µs med=41.51µs max=41.01ms  p(90)=94.84µs p(95)=431.82µs
     http_req_sending...............: avg=23.72µs  min=6.06µs  med=11.16µs max=24.24ms  p(90)=17.59µs p(95)=28.63µs 
     http_req_tls_handshaking.......: avg=0s       min=0s      med=0s      max=0s       p(90)=0s      p(95)=0s      
     http_req_waiting...............: avg=21.02ms  min=2.21ms  med=20.04ms max=125.84ms p(90)=28.68ms p(95)=31.91ms 
     http_reqs......................: 69232   2302.38432/s
     iteration_duration.............: avg=21.67ms  min=4.54ms  med=20.54ms max=249.46ms p(90)=29.41ms p(95)=32.81ms 
     iterations.....................: 69212   2301.719199/s
     vus............................: 50      min=50        max=50 
     vus_max........................: 50      min=50        max=50 

🐋 This PR was built and pushed to the following Docker images:

Image Names: ghcr.io/graphql-hive/router

Platforms: linux/amd64,linux/arm64

Image Tags: ghcr.io/graphql-hive/router:pr-638 ghcr.io/graphql-hive/router:sha-7d1c151

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"containerimage.descriptor": {
  "mediaType": "application/vnd.oci.image.index.v1+json",
  "digest": "sha256:ee2e627348486cb8bd3cdbf19f1e8c03ffc55e10444fa165f8ce49d46400cd22",
  "size": 1609
},
"containerimage.digest": "sha256:ee2e627348486cb8bd3cdbf19f1e8c03ffc55e10444fa165f8ce49d46400cd22",
"image.name": "ghcr.io/graphql-hive/router:pr-638,ghcr.io/graphql-hive/router:sha-7d1c151"
}

also, i've added changeset and rebased