{ "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\",\n b.uploaded,\n COALESCE(\n (\n SELECT\n ARRAY_AGG(\n ROW(\n authors.id,\n authors.first_name,\n authors.last_name,\n authors.middle_name,\n EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )::author_type\n )\n FROM book_authors\n JOIN authors ON authors.id = book_authors.author\n WHERE book_authors.book = b.id\n ),\n ARRAY[]::author_type[]\n ) AS \"authors!: Vec\",\n COALESCE(\n (\n SELECT\n ARRAY_AGG(\n ROW(\n authors.id,\n authors.first_name,\n authors.last_name,\n authors.middle_name,\n EXISTS(\n SELECT * FROM author_annotations WHERE author = authors.id\n )\n )::author_type\n )\n FROM translations\n JOIN authors ON authors.id = translations.author\n WHERE translations.book = b.id\n ),\n ARRAY[]::author_type[]\n ) AS \"translators!: Vec\",\n COALESCE(\n (\n SELECT\n ARRAY_AGG(\n ROW(\n sequences.id,\n sequences.name\n )::sequence_type\n )\n FROM book_sequences\n JOIN sequences ON sequences.id = book_sequences.sequence\n WHERE book_sequences.book = b.id\n ),\n ARRAY[]::sequence_type[]\n ) AS \"sequences!: Vec\",\n EXISTS(\n SELECT * FROM book_annotations WHERE book = b.id\n ) AS \"annotation_exists!: bool\",\n (\n SELECT\n ROW(\n sources.id,\n sources.name\n )::source_type\n FROM sources\n WHERE sources.id = b.source\n ) AS \"source!: Source\",\n b.remote_id\n FROM books b\n WHERE lang = ANY($1) AND\n ($2::boolean IS NULL OR is_deleted = $2) AND\n ($3::date IS NULL OR uploaded >= $3) AND\n ($4::date IS NULL OR uploaded <= $4) AND\n ($5::integer IS NULL OR id >= $5) AND\n ($6::integer IS NULL OR id <= $6)\n ORDER BY b.id ASC\n OFFSET $7\n LIMIT $8\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", "type_info": "TextArray" }, { "ordinal": 6, "name": "uploaded", "type_info": "Date" }, { "ordinal": 7, "name": "authors!: Vec", "type_info": { "Custom": { "name": "author_type[]", "kind": { "Array": { "Custom": { "name": "author_type", "kind": { "Composite": [ [ "id", "Int4" ], [ "first_name", "Varchar" ], [ "last_name", "Varchar" ], [ "middle_name", "Varchar" ], [ "annotation_exists", "Bool" ] ] } } } } } } }, { "ordinal": 8, "name": "translators!: Vec", "type_info": { "Custom": { "name": "author_type[]", "kind": { "Array": { "Custom": { "name": "author_type", "kind": { "Composite": [ [ "id", "Int4" ], [ "first_name", "Varchar" ], [ "last_name", "Varchar" ], [ "middle_name", "Varchar" ], [ "annotation_exists", "Bool" ] ] } } } } } } }, { "ordinal": 9, "name": "sequences!: Vec", "type_info": { "Custom": { "name": "sequence_type[]", "kind": { "Array": { "Custom": { "name": "sequence_type", "kind": { "Composite": [ [ "id", "Int4" ], [ "name", "Varchar" ] ] } } } } } } }, { "ordinal": 10, "name": "annotation_exists!: bool", "type_info": "Bool" }, { "ordinal": 11, "name": "source!: Source", "type_info": { "Custom": { "name": "source_type", "kind": { "Composite": [ [ "id", "Int4" ], [ "name", "Varchar" ] ] } } } }, { "ordinal": 12, "name": "remote_id", "type_info": "Int4" } ], "parameters": { "Left": [ "TextArray", "Bool", "Date", "Date", "Int4", "Int4", "Int8", "Int8" ] }, "nullable": [ false, false, false, false, false, null, false, null, null, null, null, null, false ] }, "hash": "bb036838069e57b6f88ec4dd3b53d6b44b1d9a4e01c5f80343e33e116e422bb5" }