{
  "db_name": "PostgreSQL",
  "query": "\n        SELECT\n            b.id,\n            b.title,\n            b.lang,\n            b.file_type,\n            b.year,\n            CASE WHEN b.file_type = 'fb2' THEN ARRAY['fb2', 'epub', 'mobi', 'fb2zip']::text[] ELSE ARRAY[b.file_type]::text[] END AS \"available_types!: Vec<String>\",\n            b.uploaded,\n            (\n                SELECT\n                    JSON_AGG(\n                        JSON_BUILD_OBJECT(\n                            'id', authors.id,\n                            'first_name', authors.first_name,\n                            'last_name', authors.last_name,\n                            'middle_name', authors.middle_name,\n                            'annotation_exists', EXISTS(\n                                SELECT * FROM author_annotations WHERE author = authors.id\n                            )\n                        )\n                    )\n                FROM book_authors\n                JOIN authors ON authors.id = book_authors.author\n                WHERE book_authors.book = b.id\n            ) AS \"authors!: Vec<Author>\",\n            (\n                SELECT\n                    JSON_AGG(\n                        JSON_BUILD_OBJECT(\n                            'id', authors.id,\n                            'first_name', authors.first_name,\n                            'last_name', authors.last_name,\n                            'middle_name', authors.middle_name,\n                            'annotation_exists', EXISTS(\n                                SELECT * FROM author_annotations WHERE author = authors.id\n                            )\n                        )\n                    )\n                FROM translations\n                JOIN authors ON authors.id = translations.author\n                WHERE translations.book = b.id\n            ) AS \"translators!: Vec<Author>\",\n            (\n                SELECT\n                    JSON_AGG(\n                        JSON_BUILD_OBJECT(\n                            'id', sequences.id,\n                            'name', sequences.name\n                        )\n                    )\n                FROM book_sequences\n                JOIN sequences ON sequences.id = book_sequences.sequence\n                WHERE book_sequences.book = b.id\n            ) AS \"sequences!: Vec<Sequence>\",\n            (\n                SELECT\n                    JSON_AGG(\n                        JSON_BUILD_OBJECT(\n                            'id', genres.id,\n                            'code', genres.code,\n                            'description', genres.description,\n                            'meta', genres.meta,\n                            'source', JSON_BUILD_OBJECT(\n                                'id', sources.id,\n                                'name', sources.name\n                            )\n                        )\n                    )\n                FROM book_genres\n                JOIN genres ON genres.id = book_genres.genre\n                JOIN sources ON sources.id = genres.source\n                WHERE book_genres.book = b.id\n            ) AS \"genres!: Vec<Genre>\",\n            EXISTS(\n                SELECT * FROM book_annotations WHERE book = b.id\n            ) AS \"annotation_exists!: bool\",\n            (\n                SELECT\n                    JSON_BUILD_OBJECT(\n                        'id', sources.id,\n                        'name', sources.name\n                    )\n                FROM sources\n                WHERE sources.id = b.source\n            ) AS \"source!: Source\",\n            b.remote_id,\n            b.is_deleted,\n            b.pages\n        FROM books b\n        WHERE b.source = $1 AND b.remote_id = $2\n        ",
  "describe": {
    "columns": [
      {
        "ordinal": 0,
        "name": "id",
        "type_info": "Int4"
      },
      {
        "ordinal": 1,
        "name": "title",
        "type_info": "Varchar"
      },
      {
        "ordinal": 2,
        "name": "lang",
        "type_info": "Varchar"
      },
      {
        "ordinal": 3,
        "name": "file_type",
        "type_info": "Varchar"
      },
      {
        "ordinal": 4,
        "name": "year",
        "type_info": "Int2"
      },
      {
        "ordinal": 5,
        "name": "available_types!: Vec<String>",
        "type_info": "TextArray"
      },
      {
        "ordinal": 6,
        "name": "uploaded",
        "type_info": "Date"
      },
      {
        "ordinal": 7,
        "name": "authors!: Vec<Author>",
        "type_info": "Json"
      },
      {
        "ordinal": 8,
        "name": "translators!: Vec<Author>",
        "type_info": "Json"
      },
      {
        "ordinal": 9,
        "name": "sequences!: Vec<Sequence>",
        "type_info": "Json"
      },
      {
        "ordinal": 10,
        "name": "genres!: Vec<Genre>",
        "type_info": "Json"
      },
      {
        "ordinal": 11,
        "name": "annotation_exists!: bool",
        "type_info": "Bool"
      },
      {
        "ordinal": 12,
        "name": "source!: Source",
        "type_info": "Json"
      },
      {
        "ordinal": 13,
        "name": "remote_id",
        "type_info": "Int4"
      },
      {
        "ordinal": 14,
        "name": "is_deleted",
        "type_info": "Bool"
      },
      {
        "ordinal": 15,
        "name": "pages",
        "type_info": "Int4"
      }
    ],
    "parameters": {
      "Left": [
        "Int2",
        "Int4"
      ]
    },
    "nullable": [
      false,
      false,
      false,
      false,
      false,
      null,
      false,
      null,
      null,
      null,
      null,
      null,
      null,
      false,
      false,
      true
    ]
  },
  "hash": "df08b13f0f084e01ce2e5d9e31ed1dc0e7499483f1bbcdafc2b85c5ad0e3b956"
}