SonarCloud to CSV Files Integration

How Datrise loads SonarCloud into CSV Files

Datrise syncs SonarCloud's projects, issues, code smells, security hotspots, quality gates, and measures into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

SonarCloud: Static code quality and security analysis.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How SonarCloud entities map to CSV Files

SonarCloud entity	CSV Files object	Notes
projects	`sonar_cloud_projects`	id PK · custom fields → JSON-encoded strings for nested fields
issues	`sonar_cloud_issues`	id PK · linked to sonar_cloud_projects
code smells	`sonar_cloud_code_smells`	id PK · linked to sonar_cloud_projects
security hotspots	`sonar_cloud_security_hotspots`	id PK · linked to sonar_cloud_projects

FAQ

How does Datrise handle SonarCloud's custom fields in CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

How does the SonarCloud to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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