better-auth/dist/db/get-migration.mjs.map

The most comprehensive authentication framework for TypeScript.

{"version":3,"file":"get-migration.mjs","names":["logger","toBeCreated: {\n\t\ttable: string;\n\t\tfields: Record<string, DBFieldAttribute>;\n\t\torder: number;\n\t}[]","toBeAdded: {\n\t\ttable: string;\n\t\tfields: Record<string, DBFieldAttribute>;\n\t\torder: number;\n\t}[]","toBeAddedFields: Record<string, DBFieldAttribute>","migrations: (\n\t\t| AlterTableColumnAlteringBuilder\n\t\t| ReturnType<AlterTableBuilder[\"addIndex\"]>\n\t\t| CreateTableBuilder<string, string>\n\t\t| CreateIndexBuilder\n\t)[]","typeMap: Record<\n\t\t\tStringOnlyUnion<DBFieldType> | \"id\" | \"foreignKeyId\",\n\t\t\tRecord<KyselyDatabaseType, ColumnDataType | RawBuilder<unknown>>\n\t\t>","toBeIndexed: CreateIndexBuilder[]"],"sources":["../../src/db/get-migration.ts"],"sourcesContent":["import type { BetterAuthOptions } from \"@better-auth/core\";\nimport type { DBFieldAttribute, DBFieldType } from \"@better-auth/core/db\";\nimport { getAuthTables } from \"@better-auth/core/db\";\nimport {\n\tinitGetFieldName,\n\tinitGetModelName,\n} from \"@better-auth/core/db/adapter\";\nimport { createLogger } from \"@better-auth/core/env\";\nimport type {\n\tAlterTableBuilder,\n\tAlterTableColumnAlteringBuilder,\n\tColumnDataType,\n\tCreateIndexBuilder,\n\tCreateTableBuilder,\n\tKysely,\n\tRawBuilder,\n} from \"kysely\";\nimport { sql } from \"kysely\";\nimport { createKyselyAdapter } from \"../adapters/kysely-adapter/dialect\";\nimport type { KyselyDatabaseType } from \"../adapters/kysely-adapter/types\";\nimport { getSchema } from \"./get-schema\";\n\nconst postgresMap = {\n\tstring: [\"character varying\", \"varchar\", \"text\", \"uuid\"],\n\tnumber: [\n\t\t\"int4\",\n\t\t\"integer\",\n\t\t\"bigint\",\n\t\t\"smallint\",\n\t\t\"numeric\",\n\t\t\"real\",\n\t\t\"double precision\",\n\t],\n\tboolean: [\"bool\", \"boolean\"],\n\tdate: [\"timestamptz\", \"timestamp\", \"date\"],\n\tjson: [\"json\", \"jsonb\"],\n};\nconst mysqlMap = {\n\tstring: [\"varchar\", \"text\", \"uuid\"],\n\tnumber: [\n\t\t\"integer\",\n\t\t\"int\",\n\t\t\"bigint\",\n\t\t\"smallint\",\n\t\t\"decimal\",\n\t\t\"float\",\n\t\t\"double\",\n\t],\n\tboolean: [\"boolean\", \"tinyint\"],\n\tdate: [\"timestamp\", \"datetime\", \"date\"],\n\tjson: [\"json\"],\n};\n\nconst sqliteMap = {\n\tstring: [\"TEXT\"],\n\tnumber: [\"INTEGER\", \"REAL\"],\n\tboolean: [\"INTEGER\", \"BOOLEAN\"], // 0 or 1\n\tdate: [\"DATE\", \"INTEGER\"],\n\tjson: [\"TEXT\"],\n};\n\nconst mssqlMap = {\n\tstring: [\"varchar\", \"nvarchar\", \"uniqueidentifier\"],\n\tnumber: [\"int\", \"bigint\", \"smallint\", \"decimal\", \"float\", \"double\"],\n\tboolean: [\"bit\", \"smallint\"],\n\tdate: [\"datetime2\", \"date\", \"datetime\"],\n\tjson: [\"varchar\", \"nvarchar\"],\n};\n\nconst map = {\n\tpostgres: postgresMap,\n\tmysql: mysqlMap,\n\tsqlite: sqliteMap,\n\tmssql: mssqlMap,\n};\n\nexport function matchType(\n\tcolumnDataType: string,\n\tfieldType: DBFieldType,\n\tdbType: KyselyDatabaseType,\n) {\n\tfunction normalize(type: string) {\n\t\treturn type.toLowerCase().split(\"(\")[0]!.trim();\n\t}\n\tif (fieldType === \"string[]\" || fieldType === \"number[]\") {\n\t\treturn columnDataType.toLowerCase().includes(\"json\");\n\t}\n\tconst types = map[dbType]!;\n\tconst expected = Array.isArray(fieldType)\n\t\t? types[\"string\"].map((t) => t.toLowerCase())\n\t\t: types[fieldType]!.map((t) => t.toLowerCase());\n\treturn expected.includes(normalize(columnDataType));\n}\n\n/**\n * Get the current PostgreSQL schema (search_path) for the database connection\n * Returns the first schema in the search_path, defaulting to 'public' if not found\n */\nasync function getPostgresSchema(db: Kysely<unknown>): Promise<string> {\n\ttry {\n\t\tconst result = await sql<{ search_path: string }>`SHOW search_path`.execute(\n\t\t\tdb,\n\t\t);\n\t\tif (result.rows[0]?.search_path) {\n\t\t\t// search_path can be a comma-separated list like \"$user, public\" or '\"$user\", public'\n\t\t\t// We want the first non-variable schema\n\t\t\tconst schemas = result.rows[0].search_path\n\t\t\t\t.split(\",\")\n\t\t\t\t.map((s) => s.trim())\n\t\t\t\t// Remove quotes and filter out variables like $user\n\t\t\t\t.map((s) => s.replace(/^[\"']|[\"']$/g, \"\"))\n\t\t\t\t.filter((s) => !s.startsWith(\"$\"));\n\t\t\treturn schemas[0] || \"public\";\n\t\t}\n\t} catch {\n\t\t// If query fails, fall back to public schema\n\t}\n\treturn \"public\";\n}\n\nexport async function getMigrations(config: BetterAuthOptions) {\n\tconst betterAuthSchema = getSchema(config);\n\tconst logger = createLogger(config.logger);\n\n\tlet { kysely: db, databaseType: dbType } = await createKyselyAdapter(config);\n\n\tif (!dbType) {\n\t\tlogger.warn(\n\t\t\t\"Could not determine database type, defaulting to sqlite. Please provide a type in the database options to avoid this.\",\n\t\t);\n\t\tdbType = \"sqlite\";\n\t}\n\n\tif (!db) {\n\t\tlogger.error(\n\t\t\t\"Only kysely adapter is supported for migrations. You can use `generate` command to generate the schema, if you're using a different adapter.\",\n\t\t);\n\t\tprocess.exit(1);\n\t}\n\n\t// For PostgreSQL, detect and log the current schema being used\n\tlet currentSchema = \"public\";\n\tif (dbType === \"postgres\") {\n\t\tcurrentSchema = await getPostgresSchema(db);\n\t\tlogger.debug(\n\t\t\t`PostgreSQL migration: Using schema '${currentSchema}' (from search_path)`,\n\t\t);\n\n\t\t// Verify the schema exists\n\t\ttry {\n\t\t\tconst schemaCheck = await sql<{ schema_name: string }>`\n\t\t\t\tSELECT schema_name \n\t\t\t\tFROM information_schema.schemata \n\t\t\t\tWHERE schema_name = ${currentSchema}\n\t\t\t`.execute(db);\n\n\t\t\tif (!schemaCheck.rows[0]) {\n\t\t\t\tlogger.warn(\n\t\t\t\t\t`Schema '${currentSchema}' does not exist. Tables will be inspected from available schemas. Consider creating the schema first or checking your database configuration.`,\n\t\t\t\t);\n\t\t\t}\n\t\t} catch (error) {\n\t\t\tlogger.debug(\n\t\t\t\t`Could not verify schema existence: ${error instanceof Error ? error.message : String(error)}`,\n\t\t\t);\n\t\t}\n\t}\n\n\tconst allTableMetadata = await db.introspection.getTables();\n\n\t// For PostgreSQL, filter tables to only those in the target schema\n\tlet tableMetadata = allTableMetadata;\n\tif (dbType === \"postgres\") {\n\t\t// Get tables with their schema information\n\t\ttry {\n\t\t\tconst tablesInSchema = await sql<{\n\t\t\t\ttable_name: string;\n\t\t\t}>`\n\t\t\t\tSELECT table_name \n\t\t\t\tFROM information_schema.tables \n\t\t\t\tWHERE table_schema = ${currentSchema}\n\t\t\t\tAND table_type = 'BASE TABLE'\n\t\t\t`.execute(db);\n\n\t\t\tconst tableNamesInSchema = new Set(\n\t\t\t\ttablesInSchema.rows.map((row) => row.table_name),\n\t\t\t);\n\n\t\t\t// Filter to only tables that exist in the target schema\n\t\t\ttableMetadata = allTableMetadata.filter(\n\t\t\t\t(table) =>\n\t\t\t\t\ttable.schema === currentSchema && tableNamesInSchema.has(table.name),\n\t\t\t);\n\n\t\t\tlogger.debug(\n\t\t\t\t`Found ${tableMetadata.length} table(s) in schema '${currentSchema}': ${tableMetadata.map((t) => t.name).join(\", \") || \"(none)\"}`,\n\t\t\t);\n\t\t} catch (error) {\n\t\t\tlogger.warn(\n\t\t\t\t`Could not filter tables by schema. Using all discovered tables. Error: ${error instanceof Error ? error.message : String(error)}`,\n\t\t\t);\n\t\t\t// Fall back to using all tables if schema filtering fails\n\t\t}\n\t}\n\tconst toBeCreated: {\n\t\ttable: string;\n\t\tfields: Record<string, DBFieldAttribute>;\n\t\torder: number;\n\t}[] = [];\n\tconst toBeAdded: {\n\t\ttable: string;\n\t\tfields: Record<string, DBFieldAttribute>;\n\t\torder: number;\n\t}[] = [];\n\n\tfor (const [key, value] of Object.entries(betterAuthSchema)) {\n\t\tconst table = tableMetadata.find((t) => t.name === key);\n\t\tif (!table) {\n\t\t\tconst tIndex = toBeCreated.findIndex((t) => t.table === key);\n\t\t\tconst tableData = {\n\t\t\t\ttable: key,\n\t\t\t\tfields: value.fields,\n\t\t\t\torder: value.order || Infinity,\n\t\t\t};\n\n\t\t\tconst insertIndex = toBeCreated.findIndex(\n\t\t\t\t(t) => (t.order || Infinity) > tableData.order,\n\t\t\t);\n\n\t\t\tif (insertIndex === -1) {\n\t\t\t\tif (tIndex === -1) {\n\t\t\t\t\ttoBeCreated.push(tableData);\n\t\t\t\t} else {\n\t\t\t\t\ttoBeCreated[tIndex]!.fields = {\n\t\t\t\t\t\t...toBeCreated[tIndex]!.fields,\n\t\t\t\t\t\t...value.fields,\n\t\t\t\t\t};\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ttoBeCreated.splice(insertIndex, 0, tableData);\n\t\t\t}\n\t\t\tcontinue;\n\t\t}\n\t\tlet toBeAddedFields: Record<string, DBFieldAttribute> = {};\n\t\tfor (const [fieldName, field] of Object.entries(value.fields)) {\n\t\t\tconst column = table.columns.find((c) => c.name === fieldName);\n\t\t\tif (!column) {\n\t\t\t\ttoBeAddedFields[fieldName] = field;\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (matchType(column.dataType, field.type, dbType)) {\n\t\t\t\tcontinue;\n\t\t\t} else {\n\t\t\t\tlogger.warn(\n\t\t\t\t\t`Field ${fieldName} in table ${key} has a different type in the database. Expected ${field.type} but got ${column.dataType}.`,\n\t\t\t\t);\n\t\t\t}\n\t\t}\n\t\tif (Object.keys(toBeAddedFields).length > 0) {\n\t\t\ttoBeAdded.push({\n\t\t\t\ttable: key,\n\t\t\t\tfields: toBeAddedFields,\n\t\t\t\torder: value.order || Infinity,\n\t\t\t});\n\t\t}\n\t}\n\n\tconst migrations: (\n\t\t| AlterTableColumnAlteringBuilder\n\t\t| ReturnType<AlterTableBuilder[\"addIndex\"]>\n\t\t| CreateTableBuilder<string, string>\n\t\t| CreateIndexBuilder\n\t)[] = [];\n\n\tconst useUUIDs = config.advanced?.database?.generateId === \"uuid\";\n\tconst useNumberId =\n\t\tconfig.advanced?.database?.useNumberId ||\n\t\tconfig.advanced?.database?.generateId === \"serial\";\n\n\tfunction getType(field: DBFieldAttribute, fieldName: string) {\n\t\tconst type = field.type;\n\t\tconst provider = dbType || \"sqlite\";\n\t\ttype StringOnlyUnion<T> = T extends string ? T : never;\n\t\tconst typeMap: Record<\n\t\t\tStringOnlyUnion<DBFieldType> | \"id\" | \"foreignKeyId\",\n\t\t\tRecord<KyselyDatabaseType, ColumnDataType | RawBuilder<unknown>>\n\t\t> = {\n\t\t\tstring: {\n\t\t\t\tsqlite: \"text\",\n\t\t\t\tpostgres: \"text\",\n\t\t\t\tmysql: field.unique\n\t\t\t\t\t? \"varchar(255)\"\n\t\t\t\t\t: field.references\n\t\t\t\t\t\t? \"varchar(36)\"\n\t\t\t\t\t\t: field.sortable\n\t\t\t\t\t\t\t? \"varchar(255)\"\n\t\t\t\t\t\t\t: field.index\n\t\t\t\t\t\t\t\t? \"varchar(255)\"\n\t\t\t\t\t\t\t\t: \"text\",\n\t\t\t\tmssql:\n\t\t\t\t\tfield.unique || field.sortable\n\t\t\t\t\t\t? \"varchar(255)\"\n\t\t\t\t\t\t: field.references\n\t\t\t\t\t\t\t? \"varchar(36)\"\n\t\t\t\t\t\t\t: // mssql deprecated `text`, and the alternative is `varchar(max)`.\n\t\t\t\t\t\t\t\t// Kysely type interface doesn't support `text`, so we set this to `varchar(8000)` as\n\t\t\t\t\t\t\t\t// that's the max length for `varchar`\n\t\t\t\t\t\t\t\t\"varchar(8000)\",\n\t\t\t},\n\t\t\tboolean: {\n\t\t\t\tsqlite: \"integer\",\n\t\t\t\tpostgres: \"boolean\",\n\t\t\t\tmysql: \"boolean\",\n\t\t\t\tmssql: \"smallint\",\n\t\t\t},\n\t\t\tnumber: {\n\t\t\t\tsqlite: field.bigint ? \"bigint\" : \"integer\",\n\t\t\t\tpostgres: field.bigint ? \"bigint\" : \"integer\",\n\t\t\t\tmysql: field.bigint ? \"bigint\" : \"integer\",\n\t\t\t\tmssql: field.bigint ? \"bigint\" : \"integer\",\n\t\t\t},\n\t\t\tdate: {\n\t\t\t\tsqlite: \"date\",\n\t\t\t\tpostgres: \"timestamptz\",\n\t\t\t\tmysql: \"timestamp(3)\",\n\t\t\t\tmssql: sql`datetime2(3)`,\n\t\t\t},\n\t\t\tjson: {\n\t\t\t\tsqlite: \"text\",\n\t\t\t\tpostgres: \"jsonb\",\n\t\t\t\tmysql: \"json\",\n\t\t\t\tmssql: \"varchar(8000)\",\n\t\t\t},\n\t\t\tid: {\n\t\t\t\tpostgres: useNumberId\n\t\t\t\t\t? sql`integer GENERATED BY DEFAULT AS IDENTITY`\n\t\t\t\t\t: useUUIDs\n\t\t\t\t\t\t? \"uuid\"\n\t\t\t\t\t\t: \"text\",\n\t\t\t\tmysql: useNumberId\n\t\t\t\t\t? \"integer\"\n\t\t\t\t\t: useUUIDs\n\t\t\t\t\t\t? \"varchar(36)\"\n\t\t\t\t\t\t: \"varchar(36)\",\n\t\t\t\tmssql: useNumberId\n\t\t\t\t\t? \"integer\"\n\t\t\t\t\t: useUUIDs\n\t\t\t\t\t\t? \"varchar(36)\"\n\t\t\t\t\t\t: \"varchar(36)\",\n\t\t\t\tsqlite: useNumberId ? \"integer\" : \"text\",\n\t\t\t},\n\t\t\tforeignKeyId: {\n\t\t\t\tpostgres: useNumberId ? \"integer\" : useUUIDs ? \"uuid\" : \"text\",\n\t\t\t\tmysql: useNumberId\n\t\t\t\t\t? \"integer\"\n\t\t\t\t\t: useUUIDs\n\t\t\t\t\t\t? \"varchar(36)\"\n\t\t\t\t\t\t: \"varchar(36)\",\n\t\t\t\tmssql: useNumberId\n\t\t\t\t\t? \"integer\"\n\t\t\t\t\t: useUUIDs\n\t\t\t\t\t\t? \"varchar(36)\" /* Should be using `UNIQUEIDENTIFIER` but Kysely doesn't support it */\n\t\t\t\t\t\t: \"varchar(36)\",\n\t\t\t\tsqlite: useNumberId ? \"integer\" : \"text\",\n\t\t\t},\n\t\t\t\"string[]\": {\n\t\t\t\tsqlite: \"text\",\n\t\t\t\tpostgres: \"jsonb\",\n\t\t\t\tmysql: \"json\",\n\t\t\t\tmssql: \"varchar(8000)\",\n\t\t\t},\n\t\t\t\"number[]\": {\n\t\t\t\tsqlite: \"text\",\n\t\t\t\tpostgres: \"jsonb\",\n\t\t\t\tmysql: \"json\",\n\t\t\t\tmssql: \"varchar(8000)\",\n\t\t\t},\n\t\t} as const;\n\t\tif (fieldName === \"id\" || field.references?.field === \"id\") {\n\t\t\tif (fieldName === \"id\") {\n\t\t\t\treturn typeMap.id[provider];\n\t\t\t}\n\t\t\treturn typeMap.foreignKeyId[provider];\n\t\t}\n\t\tif (Array.isArray(type)) {\n\t\t\treturn \"text\";\n\t\t}\n\t\tif (!(type in typeMap)) {\n\t\t\tthrow new Error(\n\t\t\t\t`Unsupported field type '${String(type)}' for field '${fieldName}'. Allowed types are: string, number, boolean, date, string[], number[]. If you need to store structured data, store it as a JSON string (type: \"string\") or split it into primitive fields. See https://better-auth.com/docs/advanced/schema#additional-fields`,\n\t\t\t);\n\t\t}\n\t\treturn typeMap[type][provider];\n\t}\n\tconst getModelName = initGetModelName({\n\t\tschema: getAuthTables(config),\n\t\tusePlural: false,\n\t});\n\tconst getFieldName = initGetFieldName({\n\t\tschema: getAuthTables(config),\n\t\tusePlural: false,\n\t});\n\n\t// Helper function to safely resolve model and field names, falling back to\n\t// user-supplied strings for external tables not in the BetterAuth schema\n\tfunction getReferencePath(model: string, field: string): string {\n\t\ttry {\n\t\t\tconst modelName = getModelName(model);\n\t\t\tconst fieldName = getFieldName({ model, field });\n\t\t\treturn `${modelName}.${fieldName}`;\n\t\t} catch {\n\t\t\t// If resolution fails (external table), fall back to user-supplied references\n\t\t\treturn `${model}.${field}`;\n\t\t}\n\t}\n\n\tif (toBeAdded.length) {\n\t\tfor (const table of toBeAdded) {\n\t\t\tfor (const [fieldName, field] of Object.entries(table.fields)) {\n\t\t\t\tconst type = getType(field, fieldName);\n\t\t\t\tlet builder = db.schema.alterTable(table.table);\n\n\t\t\t\tif (field.index) {\n\t\t\t\t\tconst index = db.schema\n\t\t\t\t\t\t.alterTable(table.table)\n\t\t\t\t\t\t.addIndex(`${table.table}_${fieldName}_idx`);\n\t\t\t\t\tmigrations.push(index);\n\t\t\t\t}\n\n\t\t\t\tlet built = builder.addColumn(fieldName, type, (col) => {\n\t\t\t\t\tcol = field.required !== false ? col.notNull() : col;\n\t\t\t\t\tif (field.references) {\n\t\t\t\t\t\tcol = col\n\t\t\t\t\t\t\t.references(\n\t\t\t\t\t\t\t\tgetReferencePath(\n\t\t\t\t\t\t\t\t\tfield.references.model,\n\t\t\t\t\t\t\t\t\tfield.references.field,\n\t\t\t\t\t\t\t\t),\n\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\t.onDelete(field.references.onDelete || \"cascade\");\n\t\t\t\t\t}\n\t\t\t\t\tif (field.unique) {\n\t\t\t\t\t\tcol = col.unique();\n\t\t\t\t\t}\n\t\t\t\t\tif (\n\t\t\t\t\t\tfield.type === \"date\" &&\n\t\t\t\t\t\ttypeof field.defaultValue === \"function\" &&\n\t\t\t\t\t\t(dbType === \"postgres\" || dbType === \"mysql\" || dbType === \"mssql\")\n\t\t\t\t\t) {\n\t\t\t\t\t\tif (dbType === \"mysql\") {\n\t\t\t\t\t\t\tcol = col.defaultTo(sql`CURRENT_TIMESTAMP(3)`);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tcol = col.defaultTo(sql`CURRENT_TIMESTAMP`);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn col;\n\t\t\t\t});\n\t\t\t\tmigrations.push(built);\n\t\t\t}\n\t\t}\n\t}\n\n\tlet toBeIndexed: CreateIndexBuilder[] = [];\n\n\tif (config.advanced?.database?.useNumberId) {\n\t\tlogger.warn(\n\t\t\t\"`useNumberId` is deprecated. Please use `generateId` with `serial` instead.\",\n\t\t);\n\t}\n\n\tif (toBeCreated.length) {\n\t\tfor (const table of toBeCreated) {\n\t\t\tconst idType = getType({ type: useNumberId ? \"number\" : \"string\" }, \"id\");\n\t\t\tlet dbT = db.schema\n\t\t\t\t.createTable(table.table)\n\t\t\t\t.addColumn(\"id\", idType, (col) => {\n\t\t\t\t\tif (useNumberId) {\n\t\t\t\t\t\tif (dbType === \"postgres\") {\n\t\t\t\t\t\t\t// Identity column is already specified in the type via sql template tag\n\t\t\t\t\t\t\treturn col.primaryKey().notNull();\n\t\t\t\t\t\t} else if (dbType === \"sqlite\") {\n\t\t\t\t\t\t\treturn col.primaryKey().notNull();\n\t\t\t\t\t\t} else if (dbType === \"mssql\") {\n\t\t\t\t\t\t\treturn col.identity().primaryKey().notNull();\n\t\t\t\t\t\t}\n\t\t\t\t\t\treturn col.autoIncrement().primaryKey().notNull();\n\t\t\t\t\t}\n\t\t\t\t\tif (useUUIDs) {\n\t\t\t\t\t\tif (dbType === \"postgres\") {\n\t\t\t\t\t\t\treturn col\n\t\t\t\t\t\t\t\t.primaryKey()\n\t\t\t\t\t\t\t\t.defaultTo(sql`pg_catalog.gen_random_uuid()`)\n\t\t\t\t\t\t\t\t.notNull();\n\t\t\t\t\t\t}\n\t\t\t\t\t\treturn col.primaryKey().notNull();\n\t\t\t\t\t}\n\t\t\t\t\treturn col.primaryKey().notNull();\n\t\t\t\t});\n\n\t\t\tfor (const [fieldName, field] of Object.entries(table.fields)) {\n\t\t\t\tconst type = getType(field, fieldName);\n\t\t\t\tdbT = dbT.addColumn(fieldName, type, (col) => {\n\t\t\t\t\tcol = field.required !== false ? col.notNull() : col;\n\t\t\t\t\tif (field.references) {\n\t\t\t\t\t\tcol = col\n\t\t\t\t\t\t\t.references(\n\t\t\t\t\t\t\t\tgetReferencePath(\n\t\t\t\t\t\t\t\t\tfield.references.model,\n\t\t\t\t\t\t\t\t\tfield.references.field,\n\t\t\t\t\t\t\t\t),\n\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\t.onDelete(field.references.onDelete || \"cascade\");\n\t\t\t\t\t}\n\n\t\t\t\t\tif (field.unique) {\n\t\t\t\t\t\tcol = col.unique();\n\t\t\t\t\t}\n\t\t\t\t\tif (\n\t\t\t\t\t\tfield.type === \"date\" &&\n\t\t\t\t\t\ttypeof field.defaultValue === \"function\" &&\n\t\t\t\t\t\t(dbType === \"postgres\" || dbType === \"mysql\" || dbType === \"mssql\")\n\t\t\t\t\t) {\n\t\t\t\t\t\tif (dbType === \"mysql\") {\n\t\t\t\t\t\t\tcol = col.defaultTo(sql`CURRENT_TIMESTAMP(3)`);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tcol = col.defaultTo(sql`CURRENT_TIMESTAMP`);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\treturn col;\n\t\t\t\t});\n\n\t\t\t\tif (field.index) {\n\t\t\t\t\tlet builder = db.schema\n\t\t\t\t\t\t.createIndex(\n\t\t\t\t\t\t\t`${table.table}_${fieldName}_${field.unique ? \"uidx\" : \"idx\"}`,\n\t\t\t\t\t\t)\n\t\t\t\t\t\t.on(table.table)\n\t\t\t\t\t\t.columns([fieldName]);\n\t\t\t\t\ttoBeIndexed.push(field.unique ? builder.unique() : builder);\n\t\t\t\t}\n\t\t\t}\n\t\t\tmigrations.push(dbT);\n\t\t}\n\t}\n\n\t// instead of adding the index straight to `migrations`,\n\t// we do this at the end so that indexes are created after the table is created\n\tif (toBeIndexed.length) {\n\t\tfor (const index of toBeIndexed) 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