{
  "schema": "kallipolis.resource-quality.v1",
  "id": "resource.infrastructure.apache-spark-sql",
  "version": "1.0.0",
  "title": "Apache Spark SQL infrastructure boundary",
  "summary": "Official-source query, mutation, authorization, deployment, and interpretation boundaries for Apache Spark SQL infrastructure.",
  "content": {
    "kind": "infrastructure-boundary",
    "facts": [
      {
        "id": "fact.apache.spark-sql.role",
        "statement": "Apache Spark SQL provides SQL, DataFrame, and Dataset abstractions for structured batch and streaming data across supported sources.",
        "normativeLevel": "informative",
        "sourceIds": [
          "source.apache.spark-sql"
        ]
      },
      {
        "id": "fact.apache.spark-sql.read",
        "statement": "Lazy transformations define plans, while actions trigger distributed execution; writes, table changes, checkpoints, and cluster operations are separate effects.",
        "normativeLevel": "informative",
        "sourceIds": [
          "source.apache.spark-sql"
        ]
      },
      {
        "id": "fact.apache.spark-sql.write",
        "statement": "Cluster manager, catalog, filesystem, table format, source credentials, code execution, configuration, and network policy bound actual access.",
        "normativeLevel": "informative",
        "sourceIds": [
          "source.apache.spark-sql"
        ]
      },
      {
        "id": "fact.apache.spark-sql.boundary",
        "statement": "A logical plan or successful job does not prove source correctness, deterministic output, exactly-once effects, complete compatibility, or secure deployment.",
        "normativeLevel": "informative",
        "sourceIds": [
          "source.apache.spark-sql"
        ]
      }
    ]
  },
  "language": "en",
  "category": "data-knowledge-infrastructure",
  "state": "prepared",
  "canonicalUrl": "https://platoskallipolis.com/resources/data-knowledge-infrastructure/apache-spark-sql.json",
  "contentHash": "sha256:392aff9d1893c34b8024e137d5700581b0b6ac69ef4dd5050d8e7f8036adc222",
  "owner": {
    "id": "platos-kallipolis",
    "name": "Plato's Kallipolis",
    "type": "organization",
    "accountabilityUrl": "https://platoskallipolis.com/about"
  },
  "access": {
    "mode": "public",
    "url": "https://platoskallipolis.com/resources/data-knowledge-infrastructure/apache-spark-sql.json",
    "authentication": "none",
    "robotsAllowed": true
  },
  "provenance": {
    "method": "primary-source",
    "sources": [
      {
        "id": "source.apache.spark-sql",
        "url": "https://spark.apache.org/docs/latest/sql-programming-guide.html",
        "title": "Spark SQL, DataFrames and Datasets Guide",
        "publisher": "Apache Spark",
        "observedAt": "2026-08-28T09:25:24Z"
      }
    ]
  },
  "observedAt": "2026-08-28T09:25:24Z",
  "freshness": {
    "policy": "max-age",
    "state": "current",
    "nextReviewAt": "2026-09-04T09:25:24Z",
    "maxAgeSeconds": 604800
  },
  "license": {
    "id": "source-terms-apply",
    "url": "https://www.apache.org/licenses/LICENSE-2.0",
    "redistributionAllowed": false
  },
  "evidence": [
    {
      "id": "evidence.apache.spark-sql",
      "type": "source-claim",
      "url": "https://spark.apache.org/docs/latest/sql-programming-guide.html",
      "observedAt": "2026-08-28T09:25:24Z"
    }
  ]
}