sql-pagination-and-keyset

name	sql-pagination-and-keyset
description	Guides correct, scalable pagination and the row-value machinery behind it. Prefer keyset/seek pagination — `WHERE (sort_key, id) > (:last_key, :last_id) ORDER BY sort_key, id FETCH FIRST n ROWS ONLY` — over `LIMIT n OFFSET m`, because `OFFSET` makes the server fetch-and-discard the first m rows (O(offset), so deep pages time out) and is unstable — an insert or delete between page loads shifts the window so the reader skips a row or sees one twice. Teaches the standard `OFFSET ... FETCH FIRST n ROWS ONLY [WITH TIES]` surface versus non-standard `LIMIT`, the row value constructor comparison `(a, b) > (x, y)` (lexicographic, left-to-right, with its NULL trap) as the clean replacement for the error-prone `(a > x) OR (a = x AND b > y)`, multi-row `IN ((..),(..))`, and `VALUES` row-lists for set-based bulk operations. Every correct page needs a total, stable `ORDER BY` (tie-broken on a unique column). Auto-invokes when writing or editing pagination, `LIMIT`/`OFFSET`/`FETCH` queries, infinite-scroll or cursor/keyset endpoints, multi-column `ORDER BY` with paging, row-value comparisons, or `VALUES` bulk row sets.
allowed-tools	Read, Glob, Grep
compatibility	Claude Code, Codex CLI, Gemini CLI

SQL Pagination and Keyset

"Offset instructs the DBMS skip the first N results of a query. However, the database must still fetch these rows from the disk and bring them in order before it can send the following ones." — Markus Winand — We need tool support for keyset pagination (no-offset)

"The seek method avoids both problems because it uses the values of the previous page as a delimiter. ... You will also get stable results if new rows are inserted." — Markus Winand — Paging Through Results (the seek method)

Pagination is where the foundation skill's first rule — a result is a set with no order unless you write ORDER BY (sql-relational-and-null-discipline) — stops being academic. A page is "rows 10 through 20 in some order"; if that order is not total and stable, every page is a different lie. PostgreSQL says it plainly: without a unique ORDER BY "you will get an unpredictable subset of the query's rows — you might be asking for the tenth through twentieth rows, but tenth through twentieth in what ordering?" (PostgreSQL — SELECT). This skill builds two things on that floor: the standard limiting surface, and keyset (seek) pagination, which replaces the popular-but-broken LIMIT ... OFFSET with a row-value predicate anchored on the last row you saw.

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1. Standard OFFSET ... FETCH FIRST n ROWS [ONLY | WITH TIES] vs Non-Standard LIMIT

The SQL-standard way to limit a result is FETCH FIRST; SQL:2008 introduced it and PostgreSQL, Oracle 12c+, SQL Server 2012+, and DB2 all support it (PostgreSQL — SELECT; Zhiyanov — LIMIT vs. FETCH). The familiar LIMIT is not in the standard at all: "There is no limit clause in the SQL standard," and "fetch first N rows only does exactly what limit N does" (Zhiyanov). OFFSET, by contrast, is the standard keyword for skipping.

-- NON-STANDARD (PostgreSQL/MySQL/SQLite) — ubiquitous, but not portable
SELECT id, title FROM posts ORDER BY created_at DESC, id DESC LIMIT 20 OFFSET 40;

-- STANDARD (PostgreSQL/Oracle/SQL Server/DB2) — same result, portable
SELECT id, title FROM posts
 ORDER BY created_at DESC, id DESC
OFFSET 40 ROWS FETCH FIRST 20 ROWS ONLY;

FIRST and NEXT are synonyms, as are ROW and ROWS (Zhiyanov) — FETCH NEXT 20 ROWS ONLY reads more naturally after an OFFSET. WITH TIES "is used to return any additional rows that tie for the last place in the result set according to the ORDER BY clause; ORDER BY is mandatory in this case" (PostgreSQL — SELECT) — so a top-3 query with WITH TIES returns four rows if the 3rd and 4th share the ordering key. ONLY cuts hard at n.

Note: every example here carries a total ORDER BY (a unique tiebreaker like id). That is not decoration — see §3. MySQL and SQLite "do not support fetch at all" (Zhiyanov), so portable code there is stuck with LIMIT; see §8.

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2. Why OFFSET Degrades and Is Unstable — the Centerpiece

OFFSET m has two independent defects, and both get worse as m grows.

It is O(offset) scan-and-discard. "the database must still fetch these rows from the disk and bring them in order before it can send the following ones" (Winand — no-offset). The server does not jump to row 1,000,000; it produces the first 1,000,000 rows, orders them, throws them away, and then starts your page. "big offsets impose a lot of work on the database" (Winand). PostgreSQL corroborates that the skipped rows are real work — "rows skipped over by OFFSET will get locked" (PostgreSQL — SELECT).

It is unstable under concurrent writes. The offset is just "a number of rows to be dropped — no more context" (Winand), so it has no anchor in the data. Insert or delete a row before the offset point between two page loads and the whole window shifts: "you'll get duplicates in case there were new rows inserted between fetching two pages" (Winand) — and the symmetric case skips a row. "The idea to use the number of rows seen to skip over them later is simply wrong" (Winand).

-- WRONG — deep OFFSET: O(1,000,000) scan-and-discard, and the page
-- shifts (skips/dupes) if any row is inserted/deleted before row 1,000,000
SELECT id, title FROM posts
 ORDER BY created_at DESC, id DESC
 LIMIT 20 OFFSET 1000000;

-- RIGHT — keyset/seek: anchor on the LAST row of the previous page.
-- No offset to scan; stable even as rows are inserted/deleted earlier.
SELECT id, title FROM posts
 WHERE (created_at, id) < (:last_created_at, :last_id)   -- row-value predicate, §4
 ORDER BY created_at DESC, id DESC
 FETCH FIRST 20 ROWS ONLY;

Keyset is the fix for both defects at once: it reads only the page-worth of rows it returns, and because it remembers where you were (the values) rather than how many you skipped, concurrent edits earlier in the list cannot make you re-see or miss a row.

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3. The Keyset/Seek Pattern Needs a Total, Stable ORDER BY

The seek method "uses the values of the previous page as a delimiter. Instead of a row number, you use the last value of the previous page to specify the lower bound" (Winand — seek). The recipe, straight from Winand:

-- First page: no predicate, just the ordered top-n
SELECT sale_date, sale_id, amount
  FROM sales
 ORDER BY sale_date DESC, sale_id DESC
 FETCH FIRST 10 ROWS ONLY;

-- Next page: carry the last row's (sale_date, sale_id) forward as the cursor
SELECT sale_date, sale_id, amount
  FROM sales
 WHERE (sale_date, sale_id) < (:last_date, :last_id)
 ORDER BY sale_date DESC, sale_id DESC
 FETCH FIRST 10 ROWS ONLY;

The ORDER BY must be total — tie-broken on a unique column (here sale_id). If you order only by sale_date and two rows share a date, the cursor sale_date < :last_date either skips the rest of that date or re-reads it: the boundary is ambiguous exactly because the order is not unique. This is the same rule the foundation skill states for any deterministic result (sql-relational-and-null-discipline); pagination just makes the cost of ignoring it a visible, recurring bug. The unique tiebreaker is also what makes the row-value comparison in §4 unambiguous, and what lets a composite index (§7) resolve the cursor as a range scan.

The cursor (the last row's key values) is what an API returns as an opaque "next page" token — keyset pagination is cursor pagination.

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4. Row Value Comparison (a, b) > (x, y) — Lexicographic, with a NULL Trap

The heart of keyset is the row value constructor comparison. (a, b) > (x, y) does not compare tuples by some opaque rule — it compares them the way a dictionary orders words: "the row elements are compared left-to-right, stopping as soon as an unequal or null pair of elements is found" (PostgreSQL — Row-Wise Comparison). So (created_at, id) < (:d, :i) means earlier date, or same date and smaller id — precisely the seek boundary.

It is the clean, correct equivalent of the verbose expansion everyone writes by hand and half of them get wrong:

-- VERBOSE / ERROR-PRONE — easy to flip an operator or drop the equality leg
WHERE created_at < :d
   OR (created_at = :d AND id < :i)

-- CLEAN — same lexicographic meaning, one predicate, index-friendly
WHERE (created_at, id) < (:d, :i)

Prefer the row-value form wherever the engine supports it. The NULL trap: row comparison inherits three-valued logic. "If either of this pair of elements is null, the result of the row comparison is unknown (null)" (PostgreSQL — Row-Wise Comparison) — and WHERE drops UNKNOWN rows (foundation §2). Comparison stops at the first decisive pair, so ROW(1,2,NULL) < ROW(1,3,0) "yields true, not null, because the third pair of elements are not considered" (PostgreSQL) — but if your sort key itself is nullable, a NULL in the deciding position makes the comparison UNKNOWN and the row vanishes from paging. Keyset cursors therefore want non-nullable sort keys (or a COALESCEd / NULLS-pinned expression); NULL comparison theory is owned by sql-relational-and-null-discipline.

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5. Multi-Row IN ((..), (..)) — Row Values in a Predicate

The same row-value syntax works in IN: a list of row constructors matches on the combination of columns, not column-by-column.

-- Match specific (tenant, sku) pairs — NOT the cross product
SELECT * FROM inventory
 WHERE (tenant_id, sku) IN ((1, 'A-100'), (1, 'B-200'), (7, 'A-100'));

-- WRONG shape — this matches any of tenant {1,7} crossed with any sku, far too broad
-- WHERE tenant_id IN (1, 7) AND sku IN ('A-100', 'B-200')

This is the natural way to fetch or filter a set of composite keys in one round trip. (The NULL caveats of IN / NOT IN are owned by the foundation skill; NOT IN over row values with any NULL is the same footgun.)

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6. VALUES Row-Lists — a Literal Table for Set-Based Bulk Work

A multi-row VALUES is not just INSERT syntax: "VALUES computes a row value or set of row values" and "can also be used where a sub-SELECT might be written, for example in a FROM clause" — indeed "VALUES is syntactically allowed anywhere that SELECT is" (PostgreSQL — VALUES). Treat it as an inline constant table and stay set-based instead of looping in application code.

-- Bulk insert: one statement, not N round trips
INSERT INTO tags (post_id, label) VALUES
  (1, 'sql'), (1, 'paging'), (2, 'index');

-- As a derived table: JOIN against an ad-hoc set of rows
SELECT v.sku, v.want_qty, i.on_hand
  FROM (VALUES ('A-100', 5), ('B-200', 12)) AS v(sku, want_qty)
  JOIN inventory i ON i.sku = v.sku;

"When more than one row is specified, all the rows must have the same number of elements" (PostgreSQL — VALUES). This is the set-based answer to "I have a list of pairs in code and need to match them in the database."

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7. Keyset Is Only O(page) With the Right Index

Keyset's performance win is not magic — it depends on an index whose column order matches the ORDER BY. Winand: build CREATE INDEX sl_dtid ON sales (sale_date, sale_id) and "The database can use the SALE_DATE < ? condition for index access. That means that the database can truly skip the rows from the previous pages" (Winand — seek). Without that composite index the engine falls back to a scan and you have merely moved the cost around. The full treatment of composite-index column order, sargability, and why the index direction must match the sort lives in sql-indexing-and-sargability — route there for the O(1)-per-page guarantee.

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8. Portability Snapshot

Feature	PostgreSQL	Oracle	SQL Server	MySQL	SQLite
FETCH FIRST n ROWS ONLY (standard)	yes	12c+	2012+	no	no
LIMIT (non-standard)	yes	no	no	yes	yes
OFFSET keyword	yes	yes	yes	yes (in LIMIT)	yes
WITH TIES	yes	yes	yes	no	no
Row-value comparison (a,b) < (x,y)	yes	yes	no	8.0+	no

FETCH FIRST is the standard but "MySQL and SQLite do not support fetch at all" (Zhiyanov), so cross-engine code often must use the non-standard LIMIT — ubiquitous, not portable. Row-value comparison is standard but "only a few databases support it" (Winand — seek): SQLite and SQL Server lack it, and older MySQL did too. Where it is missing, expand by hand — Winand's approximation:

-- Manual equivalent of  (sale_date, sale_id) < (?, ?)  for engines lacking row values
WHERE sale_date <= ?
  AND NOT (sale_date = ? AND sale_id >= ?)

This expansion is verbose and easy to get wrong (it is exactly the trap §4 avoids), so confine it to engines that force it. The full LIMIT/FETCH dialect table and the SQLite/old-MySQL row-comparison gaps are owned by sql-standard-vs-dialect-map.

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9. Who Suffers When Pagination Is Wrong

Pagination bugs are silent at write time and surface as someone's bad day:

• The reader scrolling an infinite feed who sees the same post twice — or never sees one at all — because the app paged with LIMIT/OFFSET and a new post was inserted at the top between scrolls, shifting every offset by one (§2). No error; the data just lied.
• The API that times out on page 50,000. OFFSET 1000000 made the database fetch, sort, and discard a million rows before returning twenty (§2); the endpoint that was snappy on page 1 falls over deep in a large table, and the on-call engineer finds a request that "worked in testing" timing out in production.
• The maintainer who inherited the hand-rolled (a < ? OR (a = ? AND b < ?)) cursor, found one leg's operator flipped, and spent an afternoon proving the page boundary was off by exactly the rows sharing a sort key — a bug the row-value comparison (a, b) < (?, ?) never has (§4).
• The analyst whose "stable" report changes row order between runs because the paging query ordered only on a non-unique column and the plan broke ties differently each time (§3).

Correct pagination is a kindness to all of them: a keyset cursor on a total order, anchored on values not counts.

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10. Routing to Related Skills

• sql-relational-and-null-discipline — the policy root: undefined order without ORDER BY (§3), and three-valued logic behind the row-comparison NULL trap (§4).
• sql-indexing-and-sargability — the composite index that makes keyset O(page) instead of O(scan) (§7).
• sql-window-functions — ROW_NUMBER()/RANK() ranked paging and "top-n per group," the alternative when offset-style numbering is genuinely required.
• sql-select-and-query-processing — where ORDER BY / OFFSET / FETCH sit in logical query processing.
• sql-set-operations — applying FETCH FIRST to a UNION/INTERSECT result.
• sql-standard-vs-dialect-map — LIMIT vs FETCH per engine and the SQLite/SQL Server/old-MySQL row-value-comparison gaps (§8).

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11. Reference Files

High-frequency pagination and row-value 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