{
  "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'] ELSE ARRAY[b.file_type] 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            EXISTS(\n                SELECT * FROM book_annotations WHERE book = b.id\n            ) AS \"annotation_exists!: bool\",\n            bs.position\n        FROM books b\n        JOIN book_sequences bs ON b.id = bs.book\n        WHERE\n            b.is_deleted = FALSE AND\n            bs.sequence = $1 AND\n            b.lang = ANY($2)\n        ORDER BY bs.position\n        LIMIT $3 OFFSET $4\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": "VarcharArray"
      },
      {
        "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": "annotation_exists!: bool",
        "type_info": "Bool"
      },
      {
        "ordinal": 10,
        "name": "position",
        "type_info": "Int2"
      }
    ],
    "parameters": {
      "Left": [
        "Int4",
        "TextArray",
        "Int8",
        "Int8"
      ]
    },
    "nullable": [
      false,
      false,
      false,
      false,
      false,
      null,
      false,
      null,
      null,
      null,
      false
    ]
  },
  "hash": "14038503cd48456847a8ba692094691cb292a41b0456323b976e996536e20819"
}