{
   "name": "storage_engine",
   "abstract": "Column-oriented (colcompress) and row-compressed (rowcompress) Table Access Methods for PostgreSQL with vectorized execution and parallel scan",
   "description": "storage_engine provides two high-performance Table Access Methods: colcompress (columnar, vectorized, MergeTree-style sort key, stripe-level and chunk-level min/max pruning, parallel DSM scan) and rowcompress (batch-compressed rows, parallel work-stealing scan). Both AMs use zstd by default and coexist safely with heap tables. All catalog objects live in the engine schema; C symbols use the se_ prefix.",
   "version": "1.2.2",
   "date": "2026-04-23T21:11:28Z",
   "maintainer": [
      "Saulo José Benvenutti <saulojb@gmail.com>"
   ],
   "release_status": "stable",
   "user": "saulojb",
   "sha1": "91103cc52283ac517d08d124f840e0f277a556eb",
   "license": "agpl_3",
   "prereqs": {
      "build": {
         "requires": {
            "PostgreSQL": "13.0.0"
         }
      },
      "runtime": {
         "requires": {
            "PostgreSQL": "13.0.0"
         }
      }
   },
   "provides": {
      "storage_engine": {
         "abstract": "colcompress and rowcompress Table Access Methods with vectorized execution",
         "docfile": "README.md",
         "file": "src/backend/engine/sql/storage_engine--1.0.sql",
         "version": "1.2.2"
      }
   },
   "tags": ["columnar", "compression", "table access method", "vectorized", "analytics", "colcompress", "rowcompress", "zstd", "lz4", "HTAP"],
   "resources": {
      "bugtracker": {
         "web": "https://github.com/saulojb/storage_engine/issues"
      },
      "homepage": "https://github.com/saulojb/storage_engine",
      "repository": {
         "type": "git",
         "url": "https://github.com/saulojb/storage_engine.git",
         "web": "https://github.com/saulojb/storage_engine"
      }
   }
}