columns.test.ts967 lines · main
| 1 | import { afterAll, beforeAll, describe, expect, test } from 'vitest' |
| 2 | |
| 3 | import pgMeta from '../src/index' |
| 4 | import { rawSql } from '../src/pg-format' |
| 5 | import { cleanupRoot, createTestDatabase } from './db/utils' |
| 6 | |
| 7 | beforeAll(async () => { |
| 8 | // Any global setup if needed |
| 9 | }) |
| 10 | |
| 11 | afterAll(async () => { |
| 12 | await cleanupRoot() |
| 13 | }) |
| 14 | |
| 15 | const withTestDatabase = ( |
| 16 | name: string, |
| 17 | fn: (db: Awaited<ReturnType<typeof createTestDatabase>>) => Promise<void> |
| 18 | ) => { |
| 19 | test(name, async () => { |
| 20 | const db = await createTestDatabase() |
| 21 | try { |
| 22 | await fn(db) |
| 23 | } finally { |
| 24 | await db.cleanup() |
| 25 | } |
| 26 | }) |
| 27 | } |
| 28 | |
| 29 | withTestDatabase('list columns', async ({ executeQuery }) => { |
| 30 | const { sql, zod } = await pgMeta.columns.list() |
| 31 | const res = zod.parse(await executeQuery(sql)) |
| 32 | |
| 33 | const userIdColumn = res.find(({ name }) => name === 'user-id') |
| 34 | expect(userIdColumn).toMatchInlineSnapshot( |
| 35 | { |
| 36 | id: expect.stringMatching(/^\d+\.3$/), |
| 37 | table_id: expect.any(Number), |
| 38 | }, |
| 39 | ` |
| 40 | { |
| 41 | "check": null, |
| 42 | "comment": null, |
| 43 | "data_type": "bigint", |
| 44 | "default_value": null, |
| 45 | "enums": [], |
| 46 | "format": "int8", |
| 47 | "format_schema": "pg_catalog", |
| 48 | "id": StringMatching /\\^\\\\d\\+\\\\\\.3\\$/, |
| 49 | "identity_generation": null, |
| 50 | "is_generated": false, |
| 51 | "is_identity": false, |
| 52 | "is_nullable": false, |
| 53 | "is_unique": false, |
| 54 | "is_updatable": true, |
| 55 | "name": "user-id", |
| 56 | "ordinal_position": 3, |
| 57 | "schema": "public", |
| 58 | "table": "todos", |
| 59 | "table_id": Any<Number>, |
| 60 | } |
| 61 | ` |
| 62 | ) |
| 63 | }) |
| 64 | |
| 65 | withTestDatabase('list columns from a single table', async ({ executeQuery }) => { |
| 66 | // Create test table |
| 67 | await executeQuery('CREATE TABLE t (c1 text, c2 text)') |
| 68 | |
| 69 | // Get the table ID directly |
| 70 | const tableId = Number( |
| 71 | ( |
| 72 | await executeQuery( |
| 73 | "SELECT oid FROM pg_class WHERE relname = 't' AND relnamespace = (SELECT oid FROM pg_namespace WHERE nspname = 'public')" |
| 74 | ) |
| 75 | )[0].oid |
| 76 | ) |
| 77 | const testTable = { id: tableId, name: 't', schema: 'public' } |
| 78 | |
| 79 | // List columns |
| 80 | const { sql, zod } = await pgMeta.columns.list({ tableId: testTable.id }) |
| 81 | const res = zod.parse(await executeQuery(sql)) |
| 82 | |
| 83 | expect(res).toMatchInlineSnapshot( |
| 84 | [ |
| 85 | { |
| 86 | id: expect.stringMatching(/^\d+\.\d+$/), |
| 87 | table_id: expect.any(Number), |
| 88 | }, |
| 89 | { |
| 90 | id: expect.stringMatching(/^\d+\.\d+$/), |
| 91 | table_id: expect.any(Number), |
| 92 | }, |
| 93 | ], |
| 94 | ` |
| 95 | [ |
| 96 | { |
| 97 | "check": null, |
| 98 | "comment": null, |
| 99 | "data_type": "text", |
| 100 | "default_value": null, |
| 101 | "enums": [], |
| 102 | "format": "text", |
| 103 | "format_schema": "pg_catalog", |
| 104 | "id": StringMatching /\\^\\\\d\\+\\\\\\.\\\\d\\+\\$/, |
| 105 | "identity_generation": null, |
| 106 | "is_generated": false, |
| 107 | "is_identity": false, |
| 108 | "is_nullable": true, |
| 109 | "is_unique": false, |
| 110 | "is_updatable": true, |
| 111 | "name": "c1", |
| 112 | "ordinal_position": 1, |
| 113 | "schema": "public", |
| 114 | "table": "t", |
| 115 | "table_id": Any<Number>, |
| 116 | }, |
| 117 | { |
| 118 | "check": null, |
| 119 | "comment": null, |
| 120 | "data_type": "text", |
| 121 | "default_value": null, |
| 122 | "enums": [], |
| 123 | "format": "text", |
| 124 | "format_schema": "pg_catalog", |
| 125 | "id": StringMatching /\\^\\\\d\\+\\\\\\.\\\\d\\+\\$/, |
| 126 | "identity_generation": null, |
| 127 | "is_generated": false, |
| 128 | "is_identity": false, |
| 129 | "is_nullable": true, |
| 130 | "is_unique": false, |
| 131 | "is_updatable": true, |
| 132 | "name": "c2", |
| 133 | "ordinal_position": 2, |
| 134 | "schema": "public", |
| 135 | "table": "t", |
| 136 | "table_id": Any<Number>, |
| 137 | }, |
| 138 | ] |
| 139 | ` |
| 140 | ) |
| 141 | }) |
| 142 | |
| 143 | withTestDatabase('list columns with included schemas', async ({ executeQuery }) => { |
| 144 | const { sql, zod } = await pgMeta.columns.list({ |
| 145 | includedSchemas: ['public'], |
| 146 | }) |
| 147 | const res = zod.parse(await executeQuery(sql)) |
| 148 | |
| 149 | expect(res.length).toBeGreaterThan(0) |
| 150 | res.forEach((column) => { |
| 151 | expect(column.schema).toBe('public') |
| 152 | }) |
| 153 | }) |
| 154 | |
| 155 | withTestDatabase('list columns with excluded schemas', async ({ executeQuery }) => { |
| 156 | const { sql, zod } = await pgMeta.columns.list({ |
| 157 | excludedSchemas: ['public'], |
| 158 | }) |
| 159 | const res = zod.parse(await executeQuery(sql)) |
| 160 | |
| 161 | res.forEach((column) => { |
| 162 | expect(column.schema).not.toBe('public') |
| 163 | }) |
| 164 | }) |
| 165 | |
| 166 | withTestDatabase( |
| 167 | 'list columns with excluded schemas and include System Schemas', |
| 168 | async ({ executeQuery }) => { |
| 169 | const { sql, zod } = await pgMeta.columns.list({ |
| 170 | excludedSchemas: ['public'], |
| 171 | includeSystemSchemas: true, |
| 172 | }) |
| 173 | const res = zod.parse(await executeQuery(sql)) |
| 174 | |
| 175 | expect(res.length).toBeGreaterThan(0) |
| 176 | res.forEach((column) => { |
| 177 | expect(column.schema).not.toBe('public') |
| 178 | }) |
| 179 | } |
| 180 | ) |
| 181 | |
| 182 | withTestDatabase('retrieve, create, update, delete column', async ({ executeQuery }) => { |
| 183 | // Create test table using pure SQL |
| 184 | await executeQuery('CREATE TABLE t ()') |
| 185 | |
| 186 | // Create column |
| 187 | const { sql: createColumnSql } = await pgMeta.columns.create({ |
| 188 | schema: 'public', |
| 189 | table: 't', |
| 190 | name: 'c', |
| 191 | type: { name: 'int2' }, |
| 192 | default_value: 42, |
| 193 | comment: 'foo', |
| 194 | }) |
| 195 | await executeQuery(createColumnSql) |
| 196 | |
| 197 | // Retrieve and verify created column |
| 198 | const { sql: retrieveSql, zod: retrieveZod } = await pgMeta.columns.retrieve({ |
| 199 | schema: 'public', |
| 200 | table: 't', |
| 201 | name: 'c', |
| 202 | }) |
| 203 | let column = retrieveZod.parse((await executeQuery(retrieveSql))[0]) |
| 204 | expect(column).toMatchInlineSnapshot( |
| 205 | { |
| 206 | id: expect.stringMatching(/^\d+\.1$/), |
| 207 | table_id: expect.any(Number), |
| 208 | }, |
| 209 | ` |
| 210 | { |
| 211 | "check": null, |
| 212 | "comment": "foo", |
| 213 | "data_type": "smallint", |
| 214 | "default_value": "42", |
| 215 | "enums": [], |
| 216 | "format": "int2", |
| 217 | "format_schema": "pg_catalog", |
| 218 | "id": StringMatching /\\^\\\\d\\+\\\\\\.1\\$/, |
| 219 | "identity_generation": null, |
| 220 | "is_generated": false, |
| 221 | "is_identity": false, |
| 222 | "is_nullable": true, |
| 223 | "is_unique": false, |
| 224 | "is_updatable": true, |
| 225 | "name": "c", |
| 226 | "ordinal_position": 1, |
| 227 | "schema": "public", |
| 228 | "table": "t", |
| 229 | "table_id": Any<Number>, |
| 230 | } |
| 231 | ` |
| 232 | ) |
| 233 | |
| 234 | // Update column |
| 235 | const { sql: updateSql } = await pgMeta.columns.update(column!, { |
| 236 | name: 'c1', |
| 237 | type: { name: 'int4' }, |
| 238 | drop_default: true, |
| 239 | is_identity: true, |
| 240 | identity_generation: 'ALWAYS', |
| 241 | is_nullable: false, |
| 242 | comment: 'bar', |
| 243 | }) |
| 244 | await executeQuery(updateSql) |
| 245 | |
| 246 | // Verify updated column |
| 247 | const { sql: retrieveUpdatedSql, zod: retrieveUpdatedZod } = await pgMeta.columns.retrieve({ |
| 248 | schema: 'public', |
| 249 | table: 't', |
| 250 | name: 'c1', |
| 251 | }) |
| 252 | column = retrieveUpdatedZod.parse((await executeQuery(retrieveUpdatedSql))[0]) |
| 253 | expect(column).toMatchInlineSnapshot( |
| 254 | { |
| 255 | id: expect.stringMatching(/^\d+\.1$/), |
| 256 | table_id: expect.any(Number), |
| 257 | }, |
| 258 | ` |
| 259 | { |
| 260 | "check": null, |
| 261 | "comment": "bar", |
| 262 | "data_type": "integer", |
| 263 | "default_value": null, |
| 264 | "enums": [], |
| 265 | "format": "int4", |
| 266 | "format_schema": "pg_catalog", |
| 267 | "id": StringMatching /\\^\\\\d\\+\\\\\\.1\\$/, |
| 268 | "identity_generation": "ALWAYS", |
| 269 | "is_generated": false, |
| 270 | "is_identity": true, |
| 271 | "is_nullable": false, |
| 272 | "is_unique": false, |
| 273 | "is_updatable": true, |
| 274 | "name": "c1", |
| 275 | "ordinal_position": 1, |
| 276 | "schema": "public", |
| 277 | "table": "t", |
| 278 | "table_id": Any<Number>, |
| 279 | } |
| 280 | ` |
| 281 | ) |
| 282 | |
| 283 | // Remove column |
| 284 | const { sql: removeSql } = await pgMeta.columns.remove(column!) |
| 285 | await executeQuery(removeSql) |
| 286 | |
| 287 | // Verify column was removed |
| 288 | const { sql: retrieveRemovedSql, zod: retrieveRemovedZod } = await pgMeta.columns.retrieve({ |
| 289 | schema: 'public', |
| 290 | table: 't', |
| 291 | name: 'c1', |
| 292 | }) |
| 293 | const removedColumn = retrieveRemovedZod.parse((await executeQuery(retrieveRemovedSql))[0]) |
| 294 | expect(removedColumn).toBeUndefined() |
| 295 | }) |
| 296 | |
| 297 | withTestDatabase('enum column with quoted name', async ({ executeQuery }) => { |
| 298 | await executeQuery('CREATE TYPE "T" AS ENUM (\'v\'); CREATE TABLE t ( c "T" );') |
| 299 | |
| 300 | const { sql, zod } = await pgMeta.columns.list() |
| 301 | const res = zod.parse(await executeQuery(sql)) |
| 302 | |
| 303 | expect(res.find(({ table }) => table === 't')).toMatchInlineSnapshot( |
| 304 | { |
| 305 | id: expect.stringMatching(/^\d+\.1$/), |
| 306 | table_id: expect.any(Number), |
| 307 | }, |
| 308 | ` |
| 309 | { |
| 310 | "check": null, |
| 311 | "comment": null, |
| 312 | "data_type": "USER-DEFINED", |
| 313 | "default_value": null, |
| 314 | "enums": [ |
| 315 | "v", |
| 316 | ], |
| 317 | "format": "T", |
| 318 | "format_schema": "public", |
| 319 | "id": StringMatching /\\^\\\\d\\+\\\\\\.1\\$/, |
| 320 | "identity_generation": null, |
| 321 | "is_generated": false, |
| 322 | "is_identity": false, |
| 323 | "is_nullable": true, |
| 324 | "is_unique": false, |
| 325 | "is_updatable": true, |
| 326 | "name": "c", |
| 327 | "ordinal_position": 1, |
| 328 | "schema": "public", |
| 329 | "table": "t", |
| 330 | "table_id": Any<Number>, |
| 331 | } |
| 332 | ` |
| 333 | ) |
| 334 | }) |
| 335 | |
| 336 | withTestDatabase('primary key column', async ({ executeQuery }) => { |
| 337 | // Create test table using pure SQL |
| 338 | await executeQuery('CREATE TABLE t ()') |
| 339 | |
| 340 | // Create column with primary key |
| 341 | const { sql: createColumnSql } = await pgMeta.columns.create({ |
| 342 | schema: 'public', |
| 343 | table: 't', |
| 344 | name: 'c', |
| 345 | type: { name: 'int2' }, |
| 346 | is_primary_key: true, |
| 347 | }) |
| 348 | await executeQuery(createColumnSql) |
| 349 | |
| 350 | // Verify primary key using pure SQL |
| 351 | const primaryKeyResult = await executeQuery(` |
| 352 | SELECT a.attname |
| 353 | FROM pg_index i |
| 354 | JOIN pg_attribute a ON a.attrelid = i.indrelid |
| 355 | AND a.attnum = ANY(i.indkey) |
| 356 | WHERE i.indrelid = 't'::regclass |
| 357 | AND i.indisprimary; |
| 358 | `) |
| 359 | |
| 360 | expect(primaryKeyResult).toMatchInlineSnapshot(` |
| 361 | [ |
| 362 | { |
| 363 | "attname": "c", |
| 364 | }, |
| 365 | ] |
| 366 | `) |
| 367 | }) |
| 368 | |
| 369 | withTestDatabase('unique column', async ({ executeQuery }) => { |
| 370 | // Create test table using pure SQL |
| 371 | await executeQuery('CREATE TABLE t ()') |
| 372 | |
| 373 | // Create column with unique constraint |
| 374 | const { sql: createColumnSql } = await pgMeta.columns.create({ |
| 375 | schema: 'public', |
| 376 | table: 't', |
| 377 | name: 'c', |
| 378 | type: { name: 'int2' }, |
| 379 | is_unique: true, |
| 380 | }) |
| 381 | await executeQuery(createColumnSql) |
| 382 | |
| 383 | // Verify unique constraint using pure SQL |
| 384 | const uniqueResult = await executeQuery(` |
| 385 | SELECT a.attname |
| 386 | FROM pg_index i |
| 387 | JOIN pg_constraint c ON c.conindid = i.indexrelid |
| 388 | JOIN pg_attribute a ON a.attrelid = i.indrelid |
| 389 | AND a.attnum = ANY(i.indkey) |
| 390 | WHERE i.indrelid = 't'::regclass |
| 391 | AND i.indisunique; |
| 392 | `) |
| 393 | |
| 394 | expect(uniqueResult).toMatchInlineSnapshot(` |
| 395 | [ |
| 396 | { |
| 397 | "attname": "c", |
| 398 | }, |
| 399 | ] |
| 400 | `) |
| 401 | }) |
| 402 | |
| 403 | describe('array column', async () => { |
| 404 | const db = await createTestDatabase() |
| 405 | await db.executeQuery('CREATE TABLE t ()') |
| 406 | |
| 407 | afterAll(async () => { |
| 408 | await db.cleanup() |
| 409 | }) |
| 410 | |
| 411 | test.concurrent.for([ |
| 412 | // numerical types |
| 413 | { type: 'int2', etype: '_int2' }, |
| 414 | { type: 'int4', etype: '_int4' }, |
| 415 | { type: 'int8', etype: '_int8' }, |
| 416 | { type: 'float4', etype: '_float4' }, |
| 417 | { type: 'float8', etype: '_float8' }, |
| 418 | { type: 'numeric', etype: '_numeric' }, |
| 419 | // json types |
| 420 | { type: 'json', etype: '_json' }, |
| 421 | { type: 'jsonb', etype: '_jsonb' }, |
| 422 | // text types |
| 423 | { type: 'text', etype: '_text' }, |
| 424 | { type: 'varchar', etype: '_varchar' }, |
| 425 | // datetime types |
| 426 | { type: 'timestamp', etype: '_timestamp' }, |
| 427 | { type: 'timestamptz', etype: '_timestamptz' }, |
| 428 | { type: 'date', etype: '_date' }, |
| 429 | { type: 'time', etype: '_time' }, |
| 430 | { type: 'timetz', etype: '_timetz' }, |
| 431 | // other types |
| 432 | { type: 'uuid', etype: '_uuid' }, |
| 433 | { type: 'bool', etype: '_bool' }, |
| 434 | { type: 'bytea', etype: '_bytea' }, |
| 435 | ])('$type[] -> $etype', async (c, { expect, task }) => { |
| 436 | const id = { schema: 'public', table: 't', name: `c${task.id}` } |
| 437 | |
| 438 | // Create column with default value |
| 439 | const { sql } = pgMeta.columns.create({ |
| 440 | ...id, |
| 441 | type: { name: c.type, isArray: true }, |
| 442 | default_value: null, |
| 443 | }) |
| 444 | await db.executeQuery(sql) |
| 445 | |
| 446 | // Retrieve and verify the created column |
| 447 | const expected = pgMeta.columns.retrieve(id) |
| 448 | const result = await db.executeQuery(expected.sql) |
| 449 | const column = expected.zod.parse(result[0]) |
| 450 | |
| 451 | expect(column).toStrictEqual({ |
| 452 | ...id, |
| 453 | data_type: 'ARRAY', |
| 454 | default_value: null, |
| 455 | format: c.etype, |
| 456 | format_schema: 'pg_catalog', |
| 457 | id: expect.stringMatching(/^\d+\.\d+$/), |
| 458 | ordinal_position: expect.any(Number), |
| 459 | table_id: expect.any(Number), |
| 460 | check: null, |
| 461 | comment: null, |
| 462 | enums: [], |
| 463 | identity_generation: null, |
| 464 | is_generated: false, |
| 465 | is_identity: false, |
| 466 | is_nullable: true, |
| 467 | is_unique: false, |
| 468 | is_updatable: true, |
| 469 | }) |
| 470 | }) |
| 471 | }) |
| 472 | |
| 473 | describe('column with default value', async () => { |
| 474 | const db = await createTestDatabase() |
| 475 | await db.executeQuery('CREATE TABLE t ()') |
| 476 | |
| 477 | afterAll(async () => { |
| 478 | await db.cleanup() |
| 479 | }) |
| 480 | |
| 481 | test.concurrent.for([ |
| 482 | // numerical types |
| 483 | { type: 'int2', value: 0, etype: 'smallint', evalue: '0' }, |
| 484 | { type: 'int4', value: 1, etype: 'integer', evalue: '1' }, |
| 485 | { type: 'int8', value: -1, etype: 'bigint', evalue: `'-1'::integer` }, |
| 486 | { type: 'float4', value: 0.1, etype: 'real', evalue: '0.1' }, |
| 487 | { type: 'float8', value: -0.1, etype: 'double precision', evalue: `'-0.1'::numeric` }, |
| 488 | { type: 'numeric', value: 1e2, etype: 'numeric', evalue: '100' }, |
| 489 | // json types |
| 490 | { |
| 491 | type: 'json', |
| 492 | value: { a: 0, b: '1', c: true }, |
| 493 | etype: 'json', |
| 494 | evalue: `'{\"a\": 0, \"b\": \"1\", \"c\": true}'::jsonb`, |
| 495 | }, |
| 496 | // json array must be stringified, otherwise it will be converted to pg array literal |
| 497 | { type: 'jsonb', value: JSON.stringify([null]), etype: 'jsonb', evalue: `'[null]'::jsonb` }, |
| 498 | // text types |
| 499 | { type: 'text', value: `quote's`, etype: 'text', evalue: `'quote''s'::text` }, |
| 500 | { type: 'varchar', value: '\n', etype: 'character varying', evalue: `'\n'::character varying` }, |
| 501 | // datetime types |
| 502 | { |
| 503 | type: 'timestamp', |
| 504 | value: `now() - INTERVAL '1 day'`, |
| 505 | etype: 'timestamp without time zone', |
| 506 | evalue: `(now() - '1 day'::interval)`, |
| 507 | exp: true, |
| 508 | }, |
| 509 | { |
| 510 | type: 'timestamptz', |
| 511 | value: 'NOW()', |
| 512 | etype: 'timestamp with time zone', |
| 513 | evalue: 'now()', |
| 514 | exp: true, |
| 515 | }, |
| 516 | { type: 'date', value: '2025-05-09', etype: 'date', evalue: `'2025-05-09'::date` }, |
| 517 | { |
| 518 | type: 'time', |
| 519 | value: '11:22:33', |
| 520 | etype: 'time without time zone', |
| 521 | evalue: `'11:22:33'::time without time zone`, |
| 522 | }, |
| 523 | { |
| 524 | type: 'timetz', |
| 525 | value: '11:22:33+0800', |
| 526 | etype: 'time with time zone', |
| 527 | evalue: `'11:22:33+08'::time with time zone`, |
| 528 | }, |
| 529 | // other types |
| 530 | { |
| 531 | type: 'uuid', |
| 532 | value: 'gen_random_uuid()', |
| 533 | etype: 'uuid', |
| 534 | evalue: 'gen_random_uuid()', |
| 535 | exp: true, |
| 536 | }, |
| 537 | { type: 'bool', value: true, etype: 'boolean', evalue: 'true' }, |
| 538 | // https://www.postgresql.org/docs/current/datatype-binary.html#DATATYPE-BINARY-BYTEA-ESCAPE-FORMAT |
| 539 | { type: 'bytea', value: `\\000`, etype: 'bytea', evalue: `'\\x00'::bytea` }, |
| 540 | ])('$type -> $value', async (c, { expect, task }) => { |
| 541 | const id = { schema: 'public', table: 't', name: `c${task.id}` } |
| 542 | |
| 543 | // Create column with default value |
| 544 | const { sql } = pgMeta.columns.create( |
| 545 | c.exp |
| 546 | ? { |
| 547 | ...id, |
| 548 | type: { name: c.type }, |
| 549 | default_value_format: 'expression', |
| 550 | default_value: rawSql(String(c.value)), |
| 551 | } |
| 552 | : { ...id, type: { name: c.type }, default_value_format: 'literal', default_value: c.value } |
| 553 | ) |
| 554 | await db.executeQuery(sql) |
| 555 | |
| 556 | // Retrieve and verify the created column |
| 557 | const expected = pgMeta.columns.retrieve(id) |
| 558 | const result = await db.executeQuery(expected.sql) |
| 559 | const column = expected.zod.parse(result[0]) |
| 560 | |
| 561 | expect(column).toStrictEqual({ |
| 562 | ...id, |
| 563 | data_type: c.etype, |
| 564 | default_value: c.evalue, |
| 565 | format: c.type, |
| 566 | format_schema: 'pg_catalog', |
| 567 | id: expect.stringMatching(/^\d+\.\d+$/), |
| 568 | ordinal_position: expect.any(Number), |
| 569 | table_id: expect.any(Number), |
| 570 | check: null, |
| 571 | comment: null, |
| 572 | enums: [], |
| 573 | identity_generation: null, |
| 574 | is_generated: false, |
| 575 | is_identity: false, |
| 576 | is_nullable: true, |
| 577 | is_unique: false, |
| 578 | is_updatable: true, |
| 579 | }) |
| 580 | }) |
| 581 | }) |
| 582 | |
| 583 | // https://github.com/supabase/supabase/issues/3553 |
| 584 | withTestDatabase('alter column to type with uppercase', async ({ executeQuery }) => { |
| 585 | // Setup: Create table and type |
| 586 | await executeQuery('CREATE TABLE t ()') |
| 587 | await executeQuery('CREATE TYPE "T" AS ENUM ()') |
| 588 | |
| 589 | // Create and then update column |
| 590 | const { sql: createSql } = await pgMeta.columns.create({ |
| 591 | schema: 'public', |
| 592 | table: 't', |
| 593 | name: 'c', |
| 594 | type: { name: 'text' }, |
| 595 | is_unique: false, |
| 596 | }) |
| 597 | await executeQuery(createSql) |
| 598 | |
| 599 | // Get column ID |
| 600 | const { sql: retrieveSql, zod: retrieveZod } = await pgMeta.columns.retrieve({ |
| 601 | schema: 'public', |
| 602 | table: 't', |
| 603 | name: 'c', |
| 604 | }) |
| 605 | const column = retrieveZod.parse((await executeQuery(retrieveSql))[0]) |
| 606 | |
| 607 | // Update column |
| 608 | const { sql: updateSql } = await pgMeta.columns.update(column!, { type: { name: 'T' } }) |
| 609 | await executeQuery(updateSql) |
| 610 | |
| 611 | // Verify updated column |
| 612 | const { sql: verifySQL, zod: verifyZod } = await pgMeta.columns.retrieve({ |
| 613 | schema: 'public', |
| 614 | table: 't', |
| 615 | name: 'c', |
| 616 | }) |
| 617 | const updatedColumn = verifyZod.parse((await executeQuery(verifySQL))[0]) |
| 618 | |
| 619 | expect(updatedColumn).toMatchInlineSnapshot( |
| 620 | { |
| 621 | id: expect.stringMatching(/^\d+\.1$/), |
| 622 | table_id: expect.any(Number), |
| 623 | }, |
| 624 | ` |
| 625 | { |
| 626 | "check": null, |
| 627 | "comment": null, |
| 628 | "data_type": "USER-DEFINED", |
| 629 | "default_value": null, |
| 630 | "enums": [], |
| 631 | "format": "T", |
| 632 | "format_schema": "public", |
| 633 | "id": StringMatching /\\^\\\\d\\+\\\\\\.1\\$/, |
| 634 | "identity_generation": null, |
| 635 | "is_generated": false, |
| 636 | "is_identity": false, |
| 637 | "is_nullable": true, |
| 638 | "is_unique": false, |
| 639 | "is_updatable": true, |
| 640 | "name": "c", |
| 641 | "ordinal_position": 1, |
| 642 | "schema": "public", |
| 643 | "table": "t", |
| 644 | "table_id": Any<Number>, |
| 645 | } |
| 646 | ` |
| 647 | ) |
| 648 | }) |
| 649 | |
| 650 | withTestDatabase('enums are populated in enum array columns', async ({ executeQuery }) => { |
| 651 | // Setup: Create type and table |
| 652 | await executeQuery(`CREATE TYPE test_enum AS ENUM ('a')`) |
| 653 | await executeQuery('CREATE TABLE t ()') |
| 654 | |
| 655 | // Create column |
| 656 | const { sql: createSql } = pgMeta.columns.create({ |
| 657 | schema: 'public', |
| 658 | table: 't', |
| 659 | name: 'c', |
| 660 | type: { name: 'test_enum', isArray: true }, |
| 661 | }) |
| 662 | await executeQuery(createSql) |
| 663 | |
| 664 | // Verify created column |
| 665 | const { sql: verifySql, zod: verifyZod } = pgMeta.columns.retrieve({ |
| 666 | schema: 'public', |
| 667 | table: 't', |
| 668 | name: 'c', |
| 669 | }) |
| 670 | const column = verifyZod.parse((await executeQuery(verifySql))[0]) |
| 671 | |
| 672 | expect(column).toMatchInlineSnapshot( |
| 673 | { |
| 674 | id: expect.stringMatching(/^\d+\.1$/), |
| 675 | table_id: expect.any(Number), |
| 676 | }, |
| 677 | ` |
| 678 | { |
| 679 | "check": null, |
| 680 | "comment": null, |
| 681 | "data_type": "ARRAY", |
| 682 | "default_value": null, |
| 683 | "enums": [ |
| 684 | "a", |
| 685 | ], |
| 686 | "format": "_test_enum", |
| 687 | "format_schema": "public", |
| 688 | "id": StringMatching /\\^\\\\d\\+\\\\\\.1\\$/, |
| 689 | "identity_generation": null, |
| 690 | "is_generated": false, |
| 691 | "is_identity": false, |
| 692 | "is_nullable": true, |
| 693 | "is_unique": false, |
| 694 | "is_updatable": true, |
| 695 | "name": "c", |
| 696 | "ordinal_position": 1, |
| 697 | "schema": "public", |
| 698 | "table": "t", |
| 699 | "table_id": Any<Number>, |
| 700 | } |
| 701 | ` |
| 702 | ) |
| 703 | }) |
| 704 | |
| 705 | withTestDatabase('drop with cascade', async ({ executeQuery }) => { |
| 706 | // Setup table with generated column |
| 707 | await executeQuery(` |
| 708 | create table public.t ( |
| 709 | id int8 primary key, |
| 710 | t_id int8 generated always as (id) stored |
| 711 | ); |
| 712 | `) |
| 713 | |
| 714 | // Retrieve column |
| 715 | const { sql: retrieveSql, zod: retrieveZod } = pgMeta.columns.retrieve({ |
| 716 | schema: 'public', |
| 717 | table: 't', |
| 718 | name: 'id', |
| 719 | }) |
| 720 | const column = retrieveZod.parse((await executeQuery(retrieveSql))[0]) |
| 721 | |
| 722 | // Remove column with cascade |
| 723 | const { sql: removeSql } = pgMeta.columns.remove(column!, { cascade: true }) |
| 724 | await executeQuery(removeSql) |
| 725 | |
| 726 | // Verify original column was removed |
| 727 | const { sql: verifyIdSql, zod: verifyIdZod } = pgMeta.columns.retrieve({ |
| 728 | schema: 'public', |
| 729 | table: 't', |
| 730 | name: 'id', |
| 731 | }) |
| 732 | const removedColumn = verifyIdZod.parse((await executeQuery(verifyIdSql))[0]) |
| 733 | expect(removedColumn).toBeUndefined() |
| 734 | |
| 735 | // Verify dependent column was also removed |
| 736 | const { sql: verifyTIdSql, zod: verifyTIdZod } = pgMeta.columns.retrieve({ |
| 737 | schema: 'public', |
| 738 | table: 't', |
| 739 | name: 't_id', |
| 740 | }) |
| 741 | const dependentColumn = verifyTIdZod.parse((await executeQuery(verifyTIdSql))[0]) |
| 742 | expect(dependentColumn).toBeUndefined() |
| 743 | }) |
| 744 | |
| 745 | withTestDatabase('column with multiple checks', async ({ executeQuery }) => { |
| 746 | // Setup table with multiple check constraints |
| 747 | await executeQuery('create table t(c int8 check (c != 0) check (c != -1))') |
| 748 | |
| 749 | // List columns |
| 750 | const { sql, zod } = pgMeta.columns.list() |
| 751 | const res = zod.parse(await executeQuery(sql)) |
| 752 | |
| 753 | const columns = res |
| 754 | .filter((c) => c.schema === 'public' && c.table === 't') |
| 755 | .map(({ id, table_id, ...c }) => c) |
| 756 | |
| 757 | expect(columns).toMatchInlineSnapshot(` |
| 758 | [ |
| 759 | { |
| 760 | "check": "c <> 0", |
| 761 | "comment": null, |
| 762 | "data_type": "bigint", |
| 763 | "default_value": null, |
| 764 | "enums": [], |
| 765 | "format": "int8", |
| 766 | "format_schema": "pg_catalog", |
| 767 | "identity_generation": null, |
| 768 | "is_generated": false, |
| 769 | "is_identity": false, |
| 770 | "is_nullable": true, |
| 771 | "is_unique": false, |
| 772 | "is_updatable": true, |
| 773 | "name": "c", |
| 774 | "ordinal_position": 1, |
| 775 | "schema": "public", |
| 776 | "table": "t", |
| 777 | }, |
| 778 | ] |
| 779 | `) |
| 780 | }) |
| 781 | |
| 782 | withTestDatabase('column with multiple unique constraints', async ({ executeQuery }) => { |
| 783 | // Setup table with multiple unique constraints |
| 784 | await executeQuery(`create table t(c int8 unique); alter table t add unique (c);`) |
| 785 | |
| 786 | // List columns |
| 787 | const { sql, zod } = await pgMeta.columns.list() |
| 788 | const res = zod.parse(await executeQuery(sql)) |
| 789 | |
| 790 | const columns = res |
| 791 | .filter((c) => c.schema === 'public' && c.table === 't') |
| 792 | .map(({ id, table_id, ...c }) => c) |
| 793 | |
| 794 | expect(columns).toMatchInlineSnapshot(` |
| 795 | [ |
| 796 | { |
| 797 | "check": null, |
| 798 | "comment": null, |
| 799 | "data_type": "bigint", |
| 800 | "default_value": null, |
| 801 | "enums": [], |
| 802 | "format": "int8", |
| 803 | "format_schema": "pg_catalog", |
| 804 | "identity_generation": null, |
| 805 | "is_generated": false, |
| 806 | "is_identity": false, |
| 807 | "is_nullable": true, |
| 808 | "is_unique": true, |
| 809 | "is_updatable": true, |
| 810 | "name": "c", |
| 811 | "ordinal_position": 1, |
| 812 | "schema": "public", |
| 813 | "table": "t", |
| 814 | }, |
| 815 | ] |
| 816 | `) |
| 817 | }) |
| 818 | |
| 819 | withTestDatabase('dropping column checks', async ({ executeQuery }) => { |
| 820 | // Setup table with check constraint |
| 821 | await executeQuery(`create table public.t(c int8 check (c != 0))`) |
| 822 | |
| 823 | // Retrieve column |
| 824 | const { sql: retrieveSql, zod: retrieveZod } = await pgMeta.columns.retrieve({ |
| 825 | schema: 'public', |
| 826 | table: 't', |
| 827 | name: 'c', |
| 828 | }) |
| 829 | const column = retrieveZod.parse((await executeQuery(retrieveSql))[0]) |
| 830 | |
| 831 | // Update column to remove check |
| 832 | const { sql: updateSql } = await pgMeta.columns.update(column!, { check: null }) |
| 833 | await executeQuery(updateSql) |
| 834 | |
| 835 | // Verify updated column |
| 836 | const { sql: verifySql, zod: verifyZod } = await pgMeta.columns.retrieve({ |
| 837 | schema: 'public', |
| 838 | table: 't', |
| 839 | name: 'c', |
| 840 | }) |
| 841 | const updatedColumn = verifyZod.parse((await executeQuery(verifySql))[0]) |
| 842 | |
| 843 | expect(updatedColumn!.check).toMatchInlineSnapshot(`null`) |
| 844 | }) |
| 845 | |
| 846 | withTestDatabase('column with fully-qualified type', async ({ executeQuery }) => { |
| 847 | // Setup: Create table and type in separate schema |
| 848 | await executeQuery(` |
| 849 | create table public.t(); |
| 850 | create schema s; |
| 851 | create type s.my_type as enum (); |
| 852 | `) |
| 853 | |
| 854 | // Create column with fully-qualified type |
| 855 | const { sql: createColumnSql } = await pgMeta.columns.create({ |
| 856 | schema: 'public', |
| 857 | table: 't', |
| 858 | name: 'c', |
| 859 | type: { schema: 's', name: 'my_type' }, |
| 860 | }) |
| 861 | await executeQuery(createColumnSql) |
| 862 | |
| 863 | // Retrieve and verify the created column |
| 864 | const { sql: retrieveSql, zod: retrieveZod } = await pgMeta.columns.retrieve({ |
| 865 | schema: 'public', |
| 866 | table: 't', |
| 867 | name: 'c', |
| 868 | }) |
| 869 | const column = retrieveZod.parse((await executeQuery(retrieveSql))[0]) |
| 870 | |
| 871 | expect(column).toMatchInlineSnapshot( |
| 872 | { |
| 873 | id: expect.stringMatching(/^\d+\.1$/), |
| 874 | table_id: expect.any(Number), |
| 875 | }, |
| 876 | ` |
| 877 | { |
| 878 | "check": null, |
| 879 | "comment": null, |
| 880 | "data_type": "USER-DEFINED", |
| 881 | "default_value": null, |
| 882 | "enums": [], |
| 883 | "format": "my_type", |
| 884 | "format_schema": "s", |
| 885 | "id": StringMatching /\\^\\\\d\\+\\\\\\.1\\$/, |
| 886 | "identity_generation": null, |
| 887 | "is_generated": false, |
| 888 | "is_identity": false, |
| 889 | "is_nullable": true, |
| 890 | "is_unique": false, |
| 891 | "is_updatable": true, |
| 892 | "name": "c", |
| 893 | "ordinal_position": 1, |
| 894 | "schema": "public", |
| 895 | "table": "t", |
| 896 | "table_id": Any<Number>, |
| 897 | } |
| 898 | ` |
| 899 | ) |
| 900 | }) |
| 901 | |
| 902 | withTestDatabase('format_schema for built-in type', async ({ executeQuery }) => { |
| 903 | await executeQuery(`create table t (c int4)`) |
| 904 | |
| 905 | const { sql, zod } = pgMeta.columns.retrieve({ schema: 'public', table: 't', name: 'c' }) |
| 906 | const column = zod.parse((await executeQuery(sql))[0]) |
| 907 | |
| 908 | expect(column?.format).toBe('int4') |
| 909 | expect(column?.format_schema).toBe('pg_catalog') |
| 910 | }) |
| 911 | |
| 912 | withTestDatabase('format_schema for public-schema enum', async ({ executeQuery }) => { |
| 913 | await executeQuery(`create type public_enum as enum ('a'); create table t (c public_enum);`) |
| 914 | |
| 915 | const { sql, zod } = pgMeta.columns.retrieve({ schema: 'public', table: 't', name: 'c' }) |
| 916 | const column = zod.parse((await executeQuery(sql))[0]) |
| 917 | |
| 918 | expect(column?.format).toBe('public_enum') |
| 919 | expect(column?.format_schema).toBe('public') |
| 920 | }) |
| 921 | |
| 922 | withTestDatabase('format_schema for non-public-schema enum', async ({ executeQuery }) => { |
| 923 | await executeQuery(` |
| 924 | create schema s; |
| 925 | create type s.my_enum as enum ('a'); |
| 926 | create table t (c s.my_enum); |
| 927 | `) |
| 928 | |
| 929 | const { sql, zod } = pgMeta.columns.retrieve({ schema: 'public', table: 't', name: 'c' }) |
| 930 | const column = zod.parse((await executeQuery(sql))[0]) |
| 931 | |
| 932 | expect(column?.format).toBe('my_enum') |
| 933 | expect(column?.format_schema).toBe('s') |
| 934 | }) |
| 935 | |
| 936 | withTestDatabase('format_schema for array of non-public-schema enum', async ({ executeQuery }) => { |
| 937 | await executeQuery(` |
| 938 | create schema s; |
| 939 | create type s.my_enum as enum ('a'); |
| 940 | create table t (c s.my_enum[]); |
| 941 | `) |
| 942 | |
| 943 | const { sql, zod } = pgMeta.columns.retrieve({ schema: 'public', table: 't', name: 'c' }) |
| 944 | const column = zod.parse((await executeQuery(sql))[0]) |
| 945 | |
| 946 | expect(column?.data_type).toBe('ARRAY') |
| 947 | expect(column?.format).toBe('_my_enum') |
| 948 | expect(column?.format_schema).toBe('s') |
| 949 | }) |
| 950 | |
| 951 | withTestDatabase( |
| 952 | 'format_schema for domain over non-public-schema base type', |
| 953 | async ({ executeQuery }) => { |
| 954 | await executeQuery(` |
| 955 | create schema s; |
| 956 | create domain s.my_domain as int4; |
| 957 | create table t (c s.my_domain); |
| 958 | `) |
| 959 | |
| 960 | const { sql, zod } = pgMeta.columns.retrieve({ schema: 'public', table: 't', name: 'c' }) |
| 961 | const column = zod.parse((await executeQuery(sql))[0]) |
| 962 | |
| 963 | // Domain's `format` resolves to the base type, so `format_schema` follows the base type. |
| 964 | expect(column?.format).toBe('int4') |
| 965 | expect(column?.format_schema).toBe('pg_catalog') |
| 966 | } |
| 967 | ) |