Member Junction
    Preparing search index...

    Class CodeGenDatabaseProviderAbstract

    Abstract base class for database-specific code generation providers.

    Each database platform (SQL Server, PostgreSQL, etc.) implements this class to generate the appropriate DDL for views, CRUD routines, triggers, indexes, full-text search, permissions, and other database objects.

    The orchestrator (SQLCodeGenBase) calls these methods to produce platform-specific SQL while keeping the high-level generation logic database-agnostic.

    Hierarchy (View Summary)

    Index

    Constructors

    Accessors

    Methods

    addColumnSQL addDefaultConstraintSQL alterColumnTypeAndNullabilitySQL buildExecParamForField buildPrimaryKeyComponents callRoutineSQL canSelfJoinViewForVirtualNameField columnToken compareDataTypes conditionalInsertSQL dropDefaultConstraintSQL dropObjectSQL executeEntityPhased? executeSQLFileViaShell foreignKeyIndexName formatDefaultValue formatIndexStatement formatInsertDefaultValue generateAllEntitiesSQLFileHeader generateBaseView generateCRUDCreate generateCRUDDelete generateCRUDParamString generateCRUDPermissions generateCRUDUpdate generateDropGuard generateForeignKeyIndexes generateFullTextSearch generateFullTextSearchPermissions generateInsertFieldString generateRootFieldJoin generateRootFieldSelect generateRootIDFunction generateSingleCascadeOperation generateSQLFileHeader generateTimestampColumns generateTimestampTrigger generateUpdateFieldString generateViewPermissions generateViewRefreshSQL generateViewTestQuerySQL getCheckConstraintsSchemaFilter getCompositeUniqueConstraintCheckSQL getCRUDRoutineName getEntitiesWithMissingBaseTablesFilter getFixVirtualFieldNullabilitySQL getForeignKeyIndexExistsSQL getMetadataSupportObjectsSQL getPendingEntityFieldsSQL getPrimaryKeyIndexNameSQL getRoutineNamesBySchemaSQL getSystemSchemasToExclude getViewColumnsSQL getViewDefinitionSQL getViewExistsSQL indexPrefix isIndexableForeignKey isParamRequired maxIdentifierLength needsClearCompanion parseColumnDefaultValue quoteSQLForExecution regenerateBaseView? renderParameterType SetupDataSource shouldIncludeFieldInParams tableToken validateExpectedCRUDFunctions wrapInsertWithConflictGuard

    Constructors

    Accessors

    • get NeedsVirtualFieldNullabilityFix(): boolean

      Whether this platform needs a post-sync fix for virtual field nullability. SQL Server: false PostgreSQL: true (PG view columns always report attnotnull=false)

      Returns boolean

    Methods

    • Generates ALTER TABLE ... ADD COLUMN SQL. SQL Server: ALTER TABLE [schema].[table] ADD colName TYPE [NOT] NULL [DEFAULT expr] PostgreSQL: ALTER TABLE schema."table" ADD COLUMN "colName" TYPE [NOT] NULL [DEFAULT expr]

      Parameters

      • schema: string
      • tableName: string
      • columnName: string
      • dataType: string
      • nullable: boolean
      • OptionaldefaultExpression: string

      Returns string

    • Generates SQL to add a default constraint/value to a column. SQL Server: ALTER TABLE ... ADD CONSTRAINT DF_name DEFAULT expr FOR [col] PostgreSQL: ALTER TABLE ... ALTER COLUMN "col" SET DEFAULT expr

      Parameters

      • schema: string
      • tableName: string
      • columnName: string
      • defaultExpression: string

      Returns string

    • Generates ALTER TABLE ... ALTER COLUMN to change type and nullability. SQL Server: ALTER TABLE ... ALTER COLUMN col TYPE NULL|NOT NULL PostgreSQL: ALTER TABLE ... ALTER COLUMN "col" TYPE type, ALTER COLUMN "col" SET|DROP NOT NULL

      Parameters

      • schema: string
      • tableName: string
      • columnName: string
      • dataType: string
      • nullable: boolean

      Returns string

    • Builds the EXEC parameter fragment(s) for a single field when calling a tolerant update SP. Returns an array of @ParamName = value strings.

      For most fields this is just ['@FieldName = @variable']. But when clearValue is true and the field has a _Clear companion (see needsClearCompanion), an additional @FieldName_Clear = 1 is prepended so the tolerant SP actually sets the column to NULL instead of treating the NULL parameter as "leave unchanged".

      This is the single source of truth for the calling convention of tolerant update SPs. All codepaths that generate EXEC calls to spUpdate — cascade-update cursors, future SP-to-SP calls, etc. — should use this method to stay in sync with the SP declaration logic in generateCRUDParamString.

      Parameters

      • ef: EntityFieldInfo

        The entity field being passed

      • valueExpr: string

        The SQL expression for the value (e.g. @prefixed_var)

      • clearValue: boolean = false

        Whether this field is being explicitly set to NULL

      Returns string[]

    • Builds primary key variable declarations, select fields, fetch-into, and SP param strings for use in cursor-based cascade operations.

      Parameters

      Returns {
          fetchInto: string;
          routineParams: string;
          selectFields: string;
          varDeclarations: string;
      }

    • Generates SQL to invoke a stored procedure or function. SQL Server: EXEC [schema].[spName] @Param1='val1', @Param2='val2' PostgreSQL: SELECT * FROM schema."spName"('val1', 'val2')

      Parameters

      • schema: string

        The schema containing the routine.

      • routineName: string

        The routine name (e.g., spUpdateExistingEntitiesFromSchema).

      • params: string[]

        Ordered array of parameter values as pre-formatted SQL strings. For SQL Server these become @ParamName='value' pairs; for PostgreSQL they become positional arguments.

      • OptionalparamNames: string[]

        Optional parameter names for SQL Server's @Name=value syntax. Ignored on PostgreSQL.

      Returns string

    • Whether this dialect can handle a base view that LEFT-JOINs itself to read a virtual computed column (e.g. vwRecordChanges joining to itself for the RestoredFromID virtual NameField lookup).

      Default: false. No shipped provider currently supports this pattern:

      • PostgreSQL: CREATE OR REPLACE VIEW resolves view names against catalog state at parse time, so a self-reference fails with 42P01 undefined_table. A CREATE OR REPLACE retry against a NULL-typed stub then fails with cannot change data type of view column ... from text to character varying(N) because PG enforces strict column-type compat.
      • SQL Server: the base view emitter uses DROP VIEW then CREATE VIEW, and SQL Server resolves view-body references at parse/bind time — there is no deferred name resolution for view bodies the way there is for stored procedures. After the DROP, the post-DROP self-reference fails with error 208 "Invalid object name".

      With the default of false, sql_codegen.ts skips the self-virtual- NameField join entirely for self-FK + virtual-NameField cases. The trade- off: the corresponding virtual lookup column (e.g. RestoredFrom on vwRecordChanges, or Parent on a vwTags-style view if the Name Field were computed) is not emitted on the base view. Matches the baseline- shipped view shapes.

      Subclasses can override to return true if a future dialect (or a provider that switches to a different emit pattern, e.g. stub-then-alter) can support the self-reference. The fix for the underlying conflation between SQL Server computed columns and view-only columns under IsVirtual = 1 would let the join target the base table instead, removing the need for this capability flag entirely.

      Returns boolean

    • Compares two data type names, accounting for platform-specific aliases. For example, PostgreSQL reports timestamp with time zone in information_schema but DDL uses timestamptz.

      Parameters

      • reported: string

        The type name as reported by the database catalog.

      • expected: string

        The expected type name (from DDL or configuration).

      Returns boolean

      True if the types are equivalent.

    • Generates a conditional INSERT statement (insert only if not exists). SQL Server: IF NOT EXISTS (checkQuery) BEGIN insertSQL END PostgreSQL: DO $$ BEGIN IF NOT EXISTS (checkQuery) THEN insertSQL; END IF; END $$

      Parameters

      • checkQuery: string

        The SELECT query to check for existence.

      • insertSQL: string

        The INSERT statement to execute if the check returns no rows.

      Returns string

    • Generates SQL to drop an existing default constraint from a column. SQL Server: Dynamic lookup of constraint name from sys catalog + DROP. PostgreSQL: Dynamic lookup from pg_catalog + ALTER COLUMN DROP DEFAULT.

      Parameters

      • schema: string
      • tableName: string
      • columnName: string

      Returns string

    • Generates a DROP statement for a database object (view/procedure/function). SQL Server: IF OBJECT_ID('...', 'P') IS NOT NULL DROP PROCEDURE ... PostgreSQL: DROP FUNCTION IF EXISTS ... CASCADE

      Note: This differs from generateDropGuard() which is used for CREATE OR REPLACE patterns. This method is used for cleanup operations.

      Parameters

      • objectType: "VIEW" | "PROCEDURE" | "FUNCTION"
      • schema: string
      • name: string

      Returns string

    • Optional — dialect-specific phased execution of a single entity's full CodeGen SQL package (view, CRUD functions, permissions) for the main per-entity run path.

      Default path concatenates all the SQL and hands it to the shell executor, which runs it as a single multi-statement query. When any statement fails, pg's simple-query protocol aborts the rest of the batch — so a view that fails 42P16 silently blocks the CREATE FUNCTIONs that follow for the same entity.

      Providers that implement this method run the pieces in separate phases so a failure in phase 1 prevents phase 2 from producing functions that reference a missing or stale view. PG's implementation additionally routes the view phase through the 42P16 capture/restore fallback.

      Phasing contract: Phase 0 = TVF DDL (tvfSQL) — root-ID functions for recursive FKs that the base view references. Must run before phase 1 or PG rejects the view with function does not exist. Phase 1 = view DDL (viewSQL) — may invoke provider-specific recovery. Phase 2 = CRUD function DDL — ONLY runs if phase 1 succeeded. Phase 3 = view permissions (viewPermSQL) — runs only if phase 2 succeeded. The success/phase pair in the result identifies exactly where things fell over so the caller doesn't have to bisect.

      Parameters

      • opts: {
            crudCreateSQL: string;
            crudDeleteSQL: string;
            crudUpdateSQL: string;
            entity: EntityInfo;
            tvfSQL: string;
            viewPermSQL: string;
            viewSQL: string;
            willRegenerate?: Set<string>;
        }
        • crudCreateSQL: string
        • crudDeleteSQL: string
        • crudUpdateSQL: string
        • entity: EntityInfo
        • tvfSQL: string

          Root-ID TVF DDL emitted ahead of the view. Empty when the entity has no recursive ParentID FKs.

        • viewPermSQL: string
        • viewSQL: string
        • OptionalwillRegenerate?: Set<string>

      Returns Promise<PhasedExecutionResult>

    • Executes a SQL file using the platform's native CLI tool (sqlcmd/psql). The implementation is responsible for reading connection configuration from the environment or config objects.

      Parameters

      • filePath: string

        Path to the SQL file to execute.

      Returns Promise<boolean>

      True if execution succeeded, false otherwise.

    • Composes the automatic foreign-key index name and enforces the dialect's identifier length limit. Dialect-independent in shape — {prefix}{table}_{column} — while the casing of the prefix, the table/column token spelling, and the length cap come from the dialect hooks.

      NOTE: the resulting names are deliberately NOT unified across dialects. SQL Server names from BaseTableCodeName/CodeName, PostgreSQL from snake-cased BaseTable/Name. Changing either would orphan every existing index in deployed databases (CodeGen would create new ones alongside the old), so the token hooks preserve each dialect's historical spelling exactly.

      Parameters

      Returns string

    • Formats a default value for use in generated SQL. Handles SQL functions (GETUTCDATE, gen_random_uuid, etc.) and literal values.

      Parameters

      • defaultValue: string
      • needsQuotes: boolean

      Returns string

    • Renders one complete index statement for the dialect — quoting, and the "create only if absent" idempotency form (SQL Server wraps a sys.indexes check around a bare CREATE INDEX; PostgreSQL uses CREATE INDEX IF NOT EXISTS).

      The index NAME is supplied pre-composed and pre-truncated; implementations must use it verbatim. The indexed COLUMN, by contrast, is referenced from the field's real column name — which is not necessarily the token used to build the name.

      Parameters

      Returns string

    • Render hook: returns the default value for a field formatted for embedding in a generated INSERT statement. The base implementation delegates to formatDefaultValue (which handles SQL functions, quoted literals, etc.). Dialects with type-strict semantics may need to massage the value further — for example, PostgreSQL maps SQL Server BIT literal defaults (0/1) to PG BOOLEAN literals (FALSE/TRUE) so that COALESCE(boolean_param, 0) doesn't fail with a type-mismatch error.

      Parameters

      Returns string

    • Generates the parameter list string for a CRUD routine with tolerant SP signatures (Pillar 1 of the cross-app migration architecture).

      Structural logic — what's required, what's optional, when a _Clear companion appears — lives here in the base class and is shared across dialects. The dialect-specific syntax (parameter prefix, default keyword, type rendering) is delegated to:

      • Dialect.ParameterRef(name)@Name vs. p_name
      • Dialect.ParameterDefault(value) = NULL vs. DEFAULT NULL
      • Dialect.NullLiteralNULL literal
      • renderParameterType(ef) — type formatting (T-SQL native vs. PG-mapped)

      Subclasses can override the hooks above without re-implementing the full method. Subclasses can also override the method itself if their dialect imposes additional constraints not modelable through hooks (e.g. PostgreSQL's "all params after the first DEFAULT must also have DEFAULTs" rule, which the PostgreSQL provider handles via override).

      Parameters

      Returns string

    • Generates a conditional DROP + CREATE guard for a database object. For SQL Server: IF OBJECT_ID(...) IS NOT NULL DROP ... For PostgreSQL: DROP ... IF EXISTS ... or CREATE OR REPLACE ...

      Parameters

      • objectType: "VIEW" | "PROCEDURE" | "FUNCTION" | "TRIGGER"
      • schema: string
      • name: string

      Returns string

    • Generates CREATE INDEX statements for all foreign key columns on an entity. Returns an array of individual index DDL strings.

      This is a template method: every dialect-INDEPENDENT decision (which fields qualify as indexable foreign keys, and how the index name is composed and truncated) lives here so it cannot drift between providers. Dialects supply only the genuinely different pieces via formatIndexStatement, tableToken, columnToken, indexPrefix, and maxIdentifierLength.

      Previously this was abstract, so each provider reimplemented the whole thing and they drifted in a way that was not dialect-specific — SQL Server omitted the primary-key/virtual-field exclusions that PostgreSQL had. See isIndexableForeignKey.

      Parameters

      Returns string[]

    • Generates the column-list or value-list portion of an INSERT statement, depending on whether prefix is empty (column names) or non-empty (parameter values).

      Empty prefix — produces dialect-quoted column names suitable for the INSERT INTO ... (col1, col2) clause.

      Non-empty prefix — produces the parameter-value list suitable for the VALUES (...) clause, with tolerant-SP behavior:

      • Special-date fields are substituted with the dialect's CurrentTimestampUTC() (created/updated) or NullLiteral (deleted-at).
      • GUID fields with database defaults emit a CASE that detects the empty-GUID sentinel and falls back to the database default; otherwise wraps with IsNull.
      • Non-nullable fields with defaults are wrapped in IsNull(@Param, default).
      • Nullable fields with non-NULL defaults emit a _Clear companion CASE so callers can distinguish "leave default" from "explicitly NULL."
      • Plain nullable fields with no default pass the parameter reference through directly (NULL flows through).

      Skips auto-increment, virtual, and non-updatable fields. The PK column can be optionally excluded (used by the two-branch GUID-PK insert pattern in generateCRUDCreate).

      Dialect-specific syntax is fully delegated to:

      • Dialect.QuoteIdentifier, Dialect.ParameterRef,
      • Dialect.IsNull, Dialect.NullLiteral,
      • Dialect.CurrentTimestampUTC, Dialect.EmptyUUIDLiteral,
      • formatInsertDefaultValue(ef) render hook (for type-strict dialects that need to massage default values).

      Parameters

      Returns string

    • Generates ALTER TABLE statements to add __mj_CreatedAt and __mj_UpdatedAt columns.

      Parameters

      • schema: string
      • tableName: string

      Returns string

    • Generates the SET clause body for an UPDATE statement with tolerant merge semantics. Each non-PK column wraps the parameter with the dialect's null-coalescing call against the column's existing value (SET [Col] = ISNULL(@Param, [Col]) on SQL Server, SET "col" = COALESCE(p_col, "col") on PostgreSQL) so omitting a parameter preserves the existing row value. Nullable columns whose database default is non-NULL also emit a _Clear companion branch that lets callers distinguish "leave unchanged" from "explicitly NULL."

      The full structural logic lives here in the base class; only the per-line render is dialect-specific and that's resolved through the Dialect accessor's helpers (QuoteIdentifier, ParameterRef, IsNull, NullLiteral). Subclasses can override to customize line formatting if a future dialect needs something different.

      Parameters

      Returns string

    • Generates SQL to refresh/recompile a view. SQL Server: EXEC sp_refreshview 'schema.viewName'; PostgreSQL: returns empty string (no-op).

      Parameters

      • schema: string
      • viewName: string

      Returns string

    • Generates a simple test query to validate a view is functional. SQL Server: SELECT TOP 1 * FROM [schema].[viewName] PostgreSQL: SELECT * FROM "schema"."viewName" LIMIT 1

      Parameters

      • schema: string
      • viewName: string

      Returns string

    • Returns an additional WHERE clause fragment for the check-constraints query. SQL Server: WHERE SchemaName NOT IN (...) when excludeSchemas is provided. PostgreSQL: empty string (the PG view already handles schema filtering).

      Parameters

      • excludeSchemas: string[]

      Returns string

    • Returns a SQL query string to check if a given column is part of a composite unique constraint. The query should accept the schema, table, and column name as parameters (platform-specific).

      The orchestrator checks result.recordset.length > 0 to determine if the column participates in a multi-column unique index.

      Note: Implementations should return the SQL query string. The orchestrator is responsible for executing the query with proper parameterization for the target database platform.

      Parameters

      • schema: string
      • tableName: string
      • columnName: string

      Returns string

    • Returns an additional WHERE clause fragment for the missing-base-tables query. SQL Server: WHERE VirtualEntity=0 PostgreSQL: empty string (PG query doesn't need this filter).

      Returns string

    • Generates SQL to fix virtual field nullability after metadata sync. PostgreSQL: Updates AllowsNull for virtual fields based on the FK column's nullability. SQL Server: returns empty string (no fix needed).

      Parameters

      • mjCoreSchema: string

        The MJ core schema name.

      Returns string

    • Returns a SQL query string to check if a foreign key index already exists. Used by the orchestrator to conditionally create FK indexes. SQL Server: queries sys.indexes with OBJECT_ID PostgreSQL: queries pg_indexes

      The result set should return rows if the index exists (length > 0 means exists).

      Parameters

      • schema: string
      • tableName: string
      • indexName: string

      Returns string

    • Returns DDL that creates/replaces the platform's metadata-management support objects (introspection views and the routines manage-metadata invokes via callRoutineSQL), or null when the platform ships them through migrations instead.

      These objects are CodeGen's own machinery — only CodeGen calls them — so platforms that return DDL here get it executed (idempotently) at the start of every manageMetadata run. That guarantees the objects can never be missing or version-skewed relative to the CodeGenLib code that calls them.

      SQL Server: returns null (objects ship in the baseline migrations). PostgreSQL: returns the full support-object DDL.

      Parameters

      • _mjCoreSchema: string

      Returns string | null

    • Generates the SQL to retrieve pending entity fields that exist in the database but not yet in the MJ metadata. This is a large, platform-specific query.

      Parameters

      • mjCoreSchema: string

        The MJ core schema name (e.g., __mj).

      • OptionalentityIDs: string[]

        Optional list of entity UUIDs to scope the query to. When provided, the query filters to fields belonging to those entities only — used by Pass 2 to avoid re-scanning the entire schema for entities that haven't changed. undefined or empty preserves the prior unscoped behavior.

      Returns string

    • Returns a SQL query string to retrieve the primary key index name for a table. SQL Server: queries sys.indexes + sys.key_constraints PostgreSQL: queries pg_index + pg_class

      The result set must include a column named IndexName.

      Parameters

      • schema: string
      • tableName: string

      Returns string

    • Returns a SQL query that lists every stored procedure / function name in the given schemas. Used by the post-run CRUD validator to diff expected vs actual routine presence in one round trip.

      The result set must contain exactly two columns: schema_name — the schema the routine lives in routine_name — the proc/function name as stored in the catalog

      SQL Server: queries sys.objects for procedures and functions. PostgreSQL: queries pg_proc joined to pg_namespace.

      Default: returns empty string. Providers that don't implement this opt out of the post-run CRUD validator (the validator returns no missing when this returns empty), preserving backwards compatibility for downstream subclasses that haven't been updated.

      Parameters

      • _schemas: string[]

      Returns string

    • Returns an array of system schema names that should be excluded from metadata synchronization. Empty array if the platform has no system schemas that need excluding. SQL Server: [] (no system schemas need excluding) PostgreSQL: ['information_schema', 'pg_catalog', 'pg_toast', ...]

      Returns string[]

    • Returns SQL to get column metadata for a view or table. Result columns: FieldName, Type, Length, Precision, Scale, AllowsNull.

      Parameters

      • schema: string
      • viewName: string

      Returns string

    • Returns a SQL query string to retrieve the current view definition from the database. SQL Server: SELECT OBJECT_DEFINITION(OBJECT_ID('[schema].[viewName]')) AS ViewDefinition PostgreSQL: SELECT pg_get_viewdef('"schema"."viewName"'::regclass, true) AS "ViewDefinition"

      The result set must include a column named ViewDefinition.

      Parameters

      • schema: string
      • viewName: string

      Returns string

    • Decides whether a field should get an automatic foreign-key index. Dialect-independent.

      A field qualifies when it points at another entity and is a real, materialized column:

      • RelatedEntityID — the field is a foreign key. This is the base-table column that actually stores the relationship. (The sibling RelatedEntity field is a view join on that ID, not a base column; the two never disagree in practice — verified 0/793 divergence across the FK fields in the reference database — so keying off the ID is both equivalent and more direct.)
      • !IsPrimaryKey — a primary key is already covered by its own index. In 1:1 extension-table patterns the child's PK is also an FK to the parent, and indexing it again would be pure overhead.
      • !IsVirtual — virtual fields have no underlying column, so CREATE INDEX on one would reference a column that does not exist.

      The PK/virtual exclusions previously existed only on the PostgreSQL side; hoisting them here applies them to every dialect by construction. Current real-world exposure is zero (no FK field in the reference database is also a primary key or virtual), so this is a guard against a future case rather than a change in today's generated output.

      Parameters

      Returns boolean

    • Tolerant-SP semantics: returns true when this parameter must be provided by every caller (no default, no fallback). Pure decision logic — Pillar 1 of the cross-app migration architecture.

      • PKs: required on update, optional on non-AutoIncrement create (codegen emits a default that lets the database supply the value).
      • Non-PK on update: never required (merge semantics).
      • Non-PK on create: required only when the column is NOT NULL with no database default — i.e. a value the DB has no way to fill in.

      Parameters

      Returns boolean

    • Returns true when codegen should emit a <Param>_Clear companion parameter for the given field. The companion lets callers disambiguate "leave unchanged / apply DB default" (omit the parameter) from "explicitly set this column to NULL" (<Param>_Clear = 1). Required only for nullable columns whose database default is itself non-NULL — without the companion, a caller could not preserve a literal NULL because the dialect's IsNull wrap would always substitute the default.

      Routes the NULL-literal check through the dialect so future dialects can override what "this value is NULL" looks like in their generated SQL. Pure decision logic — no rendering.

      Parameters

      Returns boolean

    • Parses a raw default-value string from the database catalog into a clean value. SQL Server: strips wrapping parens and N'' prefix, e.g. (getdate())getdate() PostgreSQL: strips ::type casts, recognizes nextval() as auto-increment (returns null).

      Parameters

      • sqlDefaultValue: string

      Returns string | null

      The cleaned default value, or null if the column has no meaningful default.

    • Quotes mixed-case identifiers in a raw SQL string for execution. SQL Server: returns the SQL unchanged (case-insensitive identifiers). PostgreSQL: double-quotes PascalCase identifiers to preserve case.

      Parameters

      • sql: string

      Returns string

    • Optional — dialect-specific fast path for regenerating a single entity's base view with recovery logic.

      When provided, the orchestration layer (sql.ts regenerateFailedBaseViews) will route regeneration through this method instead of the generic write-temp-file-and-shell-out path. Implementations can add capture/ recovery behavior around the CREATE OR REPLACE VIEW — e.g. PG's 42P16 capture-and-restore fallback that preserves dependent views, functions, grants, comments, and ownership across the unavoidable DROP CASCADE.

      Parameters

      • entity: EntityInfo

        The entity whose base view is being regenerated.

      • viewSQL: string

        The full output of generateBaseView for this entity.

      • OptionalwillRegenerate: Set<string>

        Optional set of "schema.viewName" strings for views the caller will regenerate later in the same run — implementations may skip restoring those dependents since CodeGen will recreate them.

      Returns Promise<void>

      Error on failure — callers should treat this identically to any other per-entity regeneration failure (collected into the batch summary, halts the install in strict mode).

    • Render hook: returns the SQL type token that should appear in a CRUD parameter declaration for the given field. SQL Server emits the entity-field's SQLFullType directly (T-SQL native); PostgreSQL maps it through its type mapper. Override per dialect if your generated SP signatures need a transformed type.

      Parameters

      Returns string

    • Set up the per-platform data source for a CodeGen run: open a connection pool, configure the metadata provider, build the CodeGenConnection, and resolve the audit user.

      Where this lives and why — the orchestrator (RunCodeGenBase) used to switch on configInfo.dbPlatform inline and call private setupSQLServerDataSource() / setupPostgreSQLDataSource() methods. That bypassed the existing factory pattern (see e.g. manage-metadata.ts's get dbProvider(), which dispatches via MJGlobal.Instance.ClassFactory.CreateInstance(CodeGenDatabaseProvider, platform)) and meant adding a third platform would require touching the orchestrator. Moving the setup here puts it behind the same factory: subclasses register via @RegisterClass(CodeGenDatabaseProvider, '<platform>') and the orchestrator just resolves + calls.

      Subclasses are responsible for:

      • opening their pool (typically via a module-cached helper such as MSSQLConnection() / PGConnection() so multiple setupDataSource() calls reuse the same pool)
      • configuring + setting their metadata provider via SetProvider(...) when appropriate
      • loading the audit user (currently SQL Server uses UserCache, PostgreSQL hand-queries vwUsers/vwUserRoles — see implementations for the deliberate asymmetry note)
      • emitting spinner status via status_logging helpers when desired

      Returns Promise<DataSourceResult>

    • Cross-checks the entity-level AllowAPI/spGenerated/sp* configuration against the routines actually present in the database after CodeGen finishes. Returns one entry per missing routine.

      Why this exists: silent generation gaps (e.g. an entity dropped because an upstream batch errored, or stale entity-field metadata causing the PK check to fail) historically reported success at the pipeline level while leaving runtime CRUD broken. This validator turns that into a loud, actionable failure list before the install pipeline exits.

      What's expected per entity:

      • Skip virtual entities (no DB-backed routines).
      • For each of Create / Update / Delete:
        • Skip when the corresponding Allow{Type}API flag is false.
        • Look up the routine name via getCRUDRoutineName (which honors entity.spCreate/spUpdate/spDelete overrides; otherwise returns the dialect-generated default).
        • Report it as missing when not found in the DB catalog.

      Schema-level case sensitivity: SQL Server is case-insensitive, PostgreSQL is case-preserving. Both lookups normalize via lowercase to keep the validator dialect-agnostic.

      Default implementation works for both dialects via the getRoutineNamesBySchemaSQL helper. Providers may override to add platform-specific shortcuts (e.g. checking only sys.procedures on SQL Server) but the default is fine for all current dialects.

      Parameters

      Returns Promise<CRUDValidationMissing[]>

    • Wraps an INSERT statement with a conditional existence check at the statement level. SQL Server: Adds IF NOT EXISTS (...) BEGIN prefix and END suffix. PostgreSQL: Adds ON CONFLICT DO NOTHING suffix (no prefix needed).

      Parameters

      • conflictCheckSQL: string

        The SQL Server existence check query. Ignored on PostgreSQL.

      Returns { prefix: string; suffix: string }

      An object with prefix and suffix strings to wrap around the INSERT.