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feat(traces): add bulk trace seeding script with configurable options #7319

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@adambenhassen adambenhassen commented Nov 25, 2025 •
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Description:

Add a script for seeding massive trace datasets into ClickHouse with configurable parameters and chunked processing to avoid memory pressure issues.

Features:

  • Readable count format (1k, 500k, 1m)
  • Configurable time range (--days flag, defaults to 1 day)
  • Custom ClickHouse connection string support
  • Chunked duplication (5k batches) to prevent memory exhaustion
  • Uses OTEL load-test trace samples with realistic timings (9-300ms jitter)
  • Server-side duplication via ClickHouse queries for efficiency

Performance:

  • 60k traces: ~5 seconds
  • 500k traces: ~29 seconds
  • 1M traces: ~53 seconds

Usage:

  • pnpm seed:traces [--count=N] [--days=N] [--clickhouse=URL]

Examples:

  • pnpm seed:traces the-guild/test/prod --count=1k
  • pnpm seed:traces the-guild/test/prod --count=500k --days=30
  • pnpm seed:traces the-guild/test/prod --count=1m --clickhouse=http://user:pass@host:8123

Execution Example:

> tsx scripts/seed-traces/seed-traces-bulk.ts the-guild/test/prod --count=100k --days=7

  ClickHouse:         http://localhost:8123
  Target slug:        the-guild/test/prod
  Requested traces:   100,000

  Estimated output:
  - Traces:           ~100,002
  - Spans:            ~1,000,020
  - Time range:       Last 7 days

Loading trace samples...
Loaded 6 trace samples
Generating traces from all samples...
Generated 56 spans across 6 unique traces
Inserting unique traces into ClickHouse...
Inserted 56/56 spans (100%)
- Unique traces inserted successfully!

Duplicating to reach 100,002 total traces:
Processing chunk 1/4: duplicating 5,000 times...
Processing chunk 2/4: duplicating 5,000 times...
Processing chunk 3/4: duplicating 5,000 times...
Processing chunk 4/4: duplicating 1,666 times...

- Successfully created 100,002 traces (933,352 spans)
- Data distributed across last 7 days

- Trace seeding completed!

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gemini-code-assist bot commented Nov 25, 2025 •
edited by adambenhassen
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Summary of Changes

Hello @adambenhassen, 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 introduces a powerful new tool for developers and testers to generate and inject large-scale OpenTelemetry trace data into ClickHouse, facilitating robust testing and performance analysis of tracing functionalities. Concurrently, it implements a global feature flag to easily enable or disable OTEL tracing across the entire application environment, streamlining development workflows and feature rollout.

Highlights

  • Bulk Trace Seeding Script: A new script has been added to efficiently seed large volumes of OpenTelemetry (OTEL) traces into ClickHouse. This script supports configurable options for trace count, time range, and ClickHouse connection details.
  • Configurable Seeding Options: The trace seeding script allows specifying the total number of traces (e.g., 1k, 500k, 1m), the time range in days to scatter traces across, and a custom ClickHouse connection string. It uses OTEL load-test trace samples with realistic timings.
  • Efficient Server-Side Duplication: To handle massive datasets and prevent memory exhaustion, the script performs chunked duplication (5k batches) and leverages server-side duplication via ClickHouse queries, significantly improving performance for large trace counts.
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github-actions bot commented Nov 25, 2025 •
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📚 Storybook Deployment

The latest changes are available as preview in: https://pr-7319.hive-storybook.pages.dev

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Code Review

This pull request introduces a powerful trace seeding script and wires up the necessary feature flags to enable OTEL tracing. The script is well-designed, using server-side duplication in ClickHouse for efficiency. I've found a critical issue in the script that would prevent traces from being correctly associated with their target, and a couple of medium-severity issues related to argument parsing and random ID generation. The rest of the changes for enabling the feature flag look solid.

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github-actions bot commented Nov 25, 2025 •
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💻 Website Preview

The latest changes are available as preview in: https://pr-7319.hive-landing-page.pages.dev

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github-actions bot commented Nov 25, 2025 •
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          "build-arg:HEALTHCHECK_CMD": "wget --spider -q http://127.0.0.1:${PORT}/_readiness",
          "build-arg:IMAGE_DESCRIPTION": "The webhooks ingestor service of the GraphQL Hive project.",
          "build-arg:IMAGE_TITLE": "graphql-hive/webhooks",
          "build-arg:PORT": "3005",
          "build-arg:RELEASE": "4404729604961b8635df2ada855c886fd5ebd119",
          "build-arg:SERVICE_DIR_NAME": "@hive/webhooks",
          "context:dist": "local:dist",
          "context:shared": "local:shared",
          "frontend.caps": "moby.buildkit.frontend.contexts+forward",
          "local-sessionid:context": "eiycyp57avpvgg1hhz8sb4qsb",
          "local-sessionid:dockerfile": "eiycyp57avpvgg1hhz8sb4qsb",
          "local-sessionid:shared": "eiycyp57avpvgg1hhz8sb4qsb"
        },
        "locals": [
          {
            "name": "context"
          },
          {
            "name": "dist"
          },
          {
            "name": "dockerfile"
          },
          {
            "name": "shared"
          }
        ]
      },
      "environment": {
        "platform": "linux/amd64",
        "ProvenanceCustomEnv": null
      }
    }
  },
  "buildx.build.ref": "builder-890c9573-33e0-473d-afd3-32f69c2bcd8f/builder-890c9573-33e0-473d-afd3-32f69c2bcd8f0/x9tgobx5ebgcynqh24n3vxim7",
  "containerimage.config.digest": "sha256:f56db20662000b45d912c7500f0d4d10c7a7317b43ab9e314c0b986fd9da82d1",
  "containerimage.descriptor": {
    "mediaType": "application/vnd.docker.distribution.manifest.v2+json",
    "digest": "sha256:4b5a5bad374899bc2a9b0470e6026573f73920b8480d9e6f453c66434403d1a2",
    "size": 2075,
    "platform": {
      "architecture": "amd64",
      "os": "linux"
    }
  },
  "containerimage.digest": "sha256:4b5a5bad374899bc2a9b0470e6026573f73920b8480d9e6f453c66434403d1a2",
  "image.name": "ghcr.io/graphql-hive/webhooks:4404729604961b8635df2ada855c886fd5ebd119-amd64,ghcr.io/graphql-hive/webhooks:adam_seed_traces_bulk-amd64"
}
}

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