Sql temporal tables

SQL Temporal Tables (SQL:2011)

"Temporal tables ... are a database feature that brings built-in support for providing information about data stored in the table at any point in time, rather than only the data that is correct at the current moment in time." — Microsoft Learn — Temporal Tables

"Definition of system-versioned tables (elsewhere called transaction time tables), using the PERIOD FOR SYSTEM_TIME annotation ... System time periods are maintained automatically." — Wikipedia — SQL:2011

SQL:2011 standardized two ways to put time inside a table. System-versioned tables let the engine keep a full history of every row automatically — the standard answer to "audit every change" and "what did this row say last March" without writing a single trigger. Application-time period tables let the application record when a fact is true in the real world. This skill builds on sql-relational-and-null-discipline (set semantics, NULL) and sql-datetime-and-intervals (timestamps, half-open intervals) and owns only the standard DDL and query syntax. It does not own how versions are stored, how snapshots are computed, or how far back you can travel — that is the hard boundary with mvcc-time-travel-queries (see §6).

---

1. Why — Audit & As-Of Without Hand-Rolled Trigger History

The recurring task: "keep a history of every change so we can reconstruct any past state and audit who-changed-what." The reflex is a shadow _history table plus triggers (or app code) that copy the old row on every UPDATE/DELETE. That hand-rolled machinery is exactly what SQL:2011 replaces — the standard's use cases are "Auditing all data changes and performing data forensics," "Reconstructing state of the data as of any time in the past," and "Maintaining a slowly changing dimension" (Microsoft Learn — Temporal Tables).

-- WRONG — hand-rolled history: a trigger that fires on every UPDATE/DELETE.
-- Drifts from the base schema, silently misses paths that bypass it (bulk loads,
-- other triggers, direct history writes), and there is no query syntax for "as of".
CREATE TABLE employee_history (LIKE employee, archived_at TIMESTAMP);

CREATE TRIGGER employee_audit BEFORE UPDATE OR DELETE ON employee
FOR EACH ROW
  INSERT INTO employee_history
  SELECT OLD.*, now();   -- one forgotten column / code path and history is wrong forever

-- RIGHT — system-versioned table: the engine records history automatically.
CREATE TABLE employee (
    employee_id   INT PRIMARY KEY,
    name          VARCHAR(100) NOT NULL,
    salary        DECIMAL(10,2) NOT NULL,
    valid_from    TIMESTAMP(6) GENERATED ALWAYS AS ROW START,
    valid_to      TIMESTAMP(6) GENERATED ALWAYS AS ROW END,
    PERIOD FOR SYSTEM_TIME (valid_from, valid_to)
) WITH SYSTEM VERSIONING;   -- MariaDB spelling; SQL Server: WITH (SYSTEM_VERSIONING = ON)

The DDL shape is from MariaDB — System-Versioned Tables; the engine "store[s] the previous version of the row each time a row ... gets updated or deleted" (Microsoft Learn).

---

2. System-Versioned Tables & FOR SYSTEM_TIME (the centerpiece)

A system-versioned (= transaction-time) table has two GENERATED ALWAYS AS ROW START/END period columns and a PERIOD FOR SYSTEM_TIME(start, end) declaration; the modifier WITH SYSTEM VERSIONING turns on automatic history (Wikipedia — SQL:2011). The engine populates the period columns from the transaction timestamp — on insert it sets the start and an open end of 9999-12-31; on update/delete it closes the old row into history (Microsoft Learn). You never write the timestamps.

A plain SELECT returns only current rows. To see the past, add a FOR SYSTEM_TIME clause — "a new clause ... with five temporal-specific subclauses to query data across the current and history tables" (Microsoft Learn):

-- The table AS IT WAS at one instant (point-in-time reconstruction)
SELECT * FROM employee FOR SYSTEM_TIME AS OF TIMESTAMP '2026-03-01 00:00:00';

-- Every version overlapping a window (half-open: FROM inclusive, TO exclusive)
SELECT * FROM employee
  FOR SYSTEM_TIME FROM '2026-01-01' TO '2026-04-01';

-- Like FROM..TO but the upper bound is INCLUSIVE
SELECT * FROM employee
  FOR SYSTEM_TIME BETWEEN '2026-01-01' AND '2026-04-01';

-- Current + all history
SELECT * FROM employee FOR SYSTEM_TIME ALL;

The boundary semantics are exact and easy to get wrong. AS OF t returns rows where valid_from <= t AND valid_to > t; FROM s TO e returns valid_from < e AND valid_to > s (both endpoints exclusive at their own edge); BETWEEN s AND e is the same but includes rows that became active exactly at e (valid_from <= e AND valid_to > s) (Microsoft Learn — qualifying-rows table). These are half-open [start, end) periods — depth on interval boundary math lives in sql-datetime-and-intervals.

-- WRONG — querying the history table by hand and guessing the overlap predicate
SELECT * FROM employee_history WHERE archived_at <= '2026-03-01';  -- off-by-boundary, misses current row

-- RIGHT — let the clause compute the overlap across current + history
SELECT * FROM employee FOR SYSTEM_TIME AS OF TIMESTAMP '2026-03-01 00:00:00';

---

3. Application-Time Period Tables & FOR PORTION OF (valid-time)

System time answers "when did the database believe this." Application time (= valid-time) answers "when is this fact true in the real world" — a contract valid Jan–Jun, a price effective next Monday — and the application supplies those dates. You declare a named period (any name, not SYSTEM_TIME) over two app-managed columns: "Definition of application time period tables (elsewhere called valid time tables), using the PERIOD FOR annotation" (Wikipedia — SQL:2011).

CREATE TABLE price (
    sku        VARCHAR(20),
    amount     DECIMAL(10,2) NOT NULL,
    valid_from DATE NOT NULL,
    valid_to   DATE NOT NULL,
    PERIOD FOR business_time (valid_from, valid_to),
    -- temporal PK: one price per sku per instant, periods may not overlap
    PRIMARY KEY (sku, business_time WITHOUT OVERLAPS)
);

WITHOUT OVERLAPS is the standard's "non-overlapping constraints" on a temporal primary key (Wikipedia — SQL:2011). The payoff clause is FOR PORTION OF: an UPDATE/DELETE ... FOR PORTION OF <period> FROM s TO e changes the row only within that sub-interval and the engine splits the period automatically — "Update and deletion of application time rows with automatic time period splitting" (Wikipedia — SQL:2011).

-- WRONG — clobbers the whole row's validity; loses the before/after segments
UPDATE price SET amount = 9.99 WHERE sku = 'A1';

-- RIGHT — change only Mar–Apr; the engine splits the period into 3 rows
UPDATE price FOR PORTION OF business_time FROM '2026-03-01' TO '2026-04-01'
  SET amount = 9.99 WHERE sku = 'A1';

Valid-time periods are queried with ordinary predicates or the SQL:2011 period predicates "CONTAINS, OVERLAPS, EQUALS, PRECEDES, SUCCEEDS, IMMEDIATELY PRECEDES and IMMEDIATELY SUCCEEDS" (Wikipedia — SQL:2011).

---

4. System-Time vs Valid-Time vs Bitemporal

Two independent time axes, three table designs. Picking the wrong axis is the deepest temporal modeling error:

Mode	Period	Who sets the timestamps	Answers
System-versioned (transaction time)	PERIOD FOR SYSTEM_TIME + WITH SYSTEM VERSIONING	the engine, from the transaction clock	"what did the database record, and when" — audit, forensics, as-of
Application-time (valid time)	PERIOD FOR <name> (app columns)	the application	"when is/was this fact true in the world" — effective dates, history of reality
Bitemporal	both, on one table	engine and application	"what did we believe on date X about what was true on date Y"

"Application time and system versioning can be used together to provide bitemporal tables" (Wikipedia — SQL:2011). Use system time for audit/correction tracking; use application/valid time for real-world effectivity; use bitemporal only when you genuinely must reconstruct past beliefs about the past (regulatory restatements, retroactive corrections). Most needs are one axis, not both.

---

5. Portability — LOW (read this before recommending)

This is a low-portability feature. Confirm the target engine supports it — and which spelling — before you recommend it. Three engines that do support system-versioning still disagree on the DDL, and two major open-source engines have no native support at all.

Engine	System-versioned?	Spelling / notes
MariaDB 10.3+	✓	WITH SYSTEM VERSIONING; ROW_START/ROW_END pseudo-cols; DELETE HISTORY to prune (MariaDB)
SQL Server 2016+	✓	WITH (SYSTEM_VERSIONING = ON (HISTORY_TABLE = ...)); adds CONTAINED IN; HIDDEN period cols (Microsoft Learn)
IBM DB2 v10, SAP HANA 2.0	✓	"Strong compliance" with the standard (Wikipedia)
Oracle	~	Approximates via Flashback Query (AS OF TIMESTAMP/SCN), not the standard DDL (Wikipedia)
PostgreSQL	✗	No native system-versioning; "requires extension" (e.g. temporal_tables) or manual modeling (Wikipedia)
MySQL	✗	No temporal tables — manual history table + triggers, or app-level versioning
SQLite	✗	No temporal tables — manual modeling only

Application-time / FOR PORTION OF / WITHOUT OVERLAPS support is even thinner and lags system-versioning even on engines that have it. The full support-and-spelling matrix is owned by sql-standard-vs-dialect-map — route there for "does engine X have this, and how does it spell it." When the target engine is on the ✗ row, the correct answer is a hand-modeled history table (route to sql-schema-design-and-normalization), not temporal-table syntax that will not parse.

---

6. The MVCC Boundary (hard)

A live MVCC engine already keeps old row versions to serve concurrent snapshots — and that machinery is what enables time-travel. This skill and mvcc-time-travel-queries (in the sibling mvcc-skills-plugin) touch the same FOR SYSTEM_TIME keyword from opposite sides:

• This skill owns the language: the standard SQL:2011 DDL (PERIOD FOR, WITH SYSTEM VERSIONING, GENERATED ALWAYS AS ROW START/END, WITHOUT OVERLAPS) and the query clauses (FOR SYSTEM_TIME AS OF / FROM..TO / BETWEEN / ALL, FOR PORTION OF) — what to write.
• mvcc-time-travel-queries owns the mechanics: how versions are physically stored and chained, how a snapshot is computed, and the retention/GC horizon — the rule that you can only travel back as far as you still retain versions (too short → "snapshot too old" / empty reads; too long → storage bloat). Pruning (DELETE HISTORY, retention policies) and "how far back can I go" are its territory.

Rule of thumb: what clause do I write → here. Why did my as-of query error / how long is history kept / how is it stored → mvcc-time-travel-queries.

---

7. Who Suffers When This Is Done Wrong

• The auditor / compliance officer handed a _history table built from triggers that silently missed a code path — a bulk UPDATE that bypassed the trigger, or a second trigger that fired first. The audit trail has holes, and nobody knew until the regulator asked. System-versioning records every modification by construction (Microsoft Learn).
• The analyst asked "what did this customer's record look like last March" against a table with no history at all — an unanswerable question, because the old values were overwritten in place and are simply gone. Without versioning there is nothing to query.
• The engineer who hand-wrote the overlap predicate against a history table and got the half-open boundary wrong (<= where it should be <), double-counting rows at period edges — the exact arithmetic FOR SYSTEM_TIME computes correctly (§2).
• The developer who shipped WITH SYSTEM VERSIONING to a PostgreSQL or MySQL target and got a syntax error in production, because the feature is MariaDB/SQL Server/DB2-only (§5).
• The data steward who used system-time to model real-world effective dates, then discovered the timestamps are transaction-clock values they cannot backdate — they needed application time, not system time (§4).

---

8. Routing to Related Skills

• sql-relational-and-null-discipline — the policy root: set semantics, NULL, three-valued logic that every query here assumes.
• sql-datetime-and-intervals — timestamp types and the half-open [start, end) interval math underlying every period and FOR SYSTEM_TIME boundary (§2).
• sql-schema-design-and-normalization — when the engine lacks temporal tables (§5), the hand-modeled history-table / slowly-changing-dimension design.
• sql-standard-vs-dialect-map — the full support-and-spelling matrix: which engine has system/application time and how it spells the DDL (§5).
• mvcc-time-travel-queries (mvcc-skills-plugin) — hard boundary: version storage, snapshot semantics, and the retention/GC horizon behind as-of reads (§6).

---

9. Reference Files

High-frequency temporal-table anti-patterns in LLM-generated SQL, each with wrong/right code and a primary-source citation:

${CLAUDE_SKILL_DIR}/references/common-mistakes.md

Source provenance for every claim in this skill:

${CLAUDE_SKILL_DIR}/references/sources.yaml