[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-tanstack-db-corelive-queries":3,"mdc--ce6l9x-key":32,"related-repo-tanstack-db-corelive-queries":10094,"related-org-tanstack-db-corelive-queries":10181},{"slug":4,"name":5,"fn":6,"description":7,"org":8,"tags":12,"stars":21,"repoUrl":22,"updatedAt":23,"license":24,"forks":25,"topics":26,"repo":27,"sourceUrl":30,"mdContent":31},"db-corelive-queries","db-core\u002Flive-queries","build live queries with TanStack DB","Query builder fluent API: from, where, join, leftJoin, rightJoin, innerJoin, fullJoin, select, fn.select, groupBy, having, orderBy, limit, offset, distinct, findOne. Operators: eq, gt, gte, lt, lte, like, ilike, inArray, isNull, isUndefined, and, or, not. Aggregates: count, sum, avg, min, max. String functions: upper, lower, length, concat. Utility: coalesce, caseWhen. Math: add. $selected namespace. createLiveQueryCollection. Derived collections. Predicate push-down. Incremental view maintenance via differential dataflow (d2ts). Virtual properties ($synced, $origin, $key, $collectionId). Includes subqueries for hierarchical data. toArray and concat(toArray(...)) scalar includes. queryOnce for one-shot queries. createEffect for reactive side effects (onEnter, onUpdate, onExit, onBatch).\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},"tanstack","TanStack","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Ftanstack.png",[13,17,20],{"name":14,"slug":15,"type":16},"Database","database","tag",{"name":18,"slug":19,"type":16},"SQL","sql",{"name":10,"slug":9,"type":16},3811,"https:\u002F\u002Fgithub.com\u002FTanStack\u002Fdb","2026-07-16T06:04:08.757365",null,245,[],{"repoUrl":22,"stars":21,"forks":25,"topics":28,"description":29},[],"The reactive client store for your API.","https:\u002F\u002Fgithub.com\u002FTanStack\u002Fdb\u002Ftree\u002FHEAD\u002Fpackages\u002Fdb\u002Fskills\u002Fdb-core\u002Flive-queries","---\nname: db-core\u002Flive-queries\ndescription: >\n Query builder fluent API: from, where, join, leftJoin, rightJoin, innerJoin,\n fullJoin, select, fn.select, groupBy, having, orderBy, limit, offset, distinct,\n findOne. Operators: eq, gt, gte, lt, lte, like, ilike, inArray, isNull,\n isUndefined, and, or, not. Aggregates: count, sum, avg, min, max. String\n functions: upper, lower, length, concat. Utility: coalesce, caseWhen. Math: add.\n $selected namespace. createLiveQueryCollection. Derived collections. Predicate push-down.\n Incremental view maintenance via differential dataflow (d2ts). Virtual\n properties ($synced, $origin, $key, $collectionId). Includes subqueries\n for hierarchical data. toArray and concat(toArray(...)) scalar includes.\n queryOnce for one-shot queries. createEffect for reactive side effects\n (onEnter, onUpdate, onExit, onBatch).\ntype: sub-skill\nlibrary: db\nlibrary_version: '0.6.0'\nsources:\n - 'TanStack\u002Fdb:docs\u002Fguides\u002Flive-queries.md'\n - 'TanStack\u002Fdb:packages\u002Fdb\u002Fsrc\u002Fquery\u002Fbuilder\u002Findex.ts'\n - 'TanStack\u002Fdb:packages\u002Fdb\u002Fsrc\u002Fquery\u002Fcompiler\u002Findex.ts'\n---\n\n# Live Queries\n\n> This skill builds on db-core.\n\nTanStack DB live queries use a SQL-like fluent query builder to create **reactive derived collections** that automatically update when underlying data changes. The query engine compiles queries into incremental view maintenance (IVM) pipelines using differential dataflow (d2ts), so only deltas are recomputed.\n\nAll operators, string functions, math functions, and aggregates are incrementally maintained. Prefer them over equivalent JS code.\n\n## Setup\n\nMinimal example using the core API (no framework hooks):\n\n```ts\nimport {\n createCollection,\n createLiveQueryCollection,\n liveQueryCollectionOptions,\n eq,\n} from '@tanstack\u002Fdb'\n\n\u002F\u002F Assume usersCollection is already created via createCollection(...)\n\n\u002F\u002F Option 1: createLiveQueryCollection shorthand\nconst activeUsers = createLiveQueryCollection((q) =>\n q\n .from({ user: usersCollection })\n .where(({ user }) => eq(user.active, true))\n .select(({ user }) => ({\n id: user.id,\n name: user.name,\n email: user.email,\n })),\n)\n\n\u002F\u002F Option 2: full options via liveQueryCollectionOptions\nconst activeUsers2 = createCollection(\n liveQueryCollectionOptions({\n query: (q) =>\n q\n .from({ user: usersCollection })\n .where(({ user }) => eq(user.active, true))\n .select(({ user }) => ({\n id: user.id,\n name: user.name,\n })),\n getKey: (user) => user.id,\n }),\n)\n\n\u002F\u002F The result is a live collection -- iterate, subscribe, or use as source\nfor (const user of activeUsers) {\n console.log(user.name)\n}\n```\n\n## Core Patterns\n\n### 1. Filtering with where + operators\n\nChain `.where()` calls (ANDed together) using expression operators. Use `and()`, `or()`, `not()` for complex logic.\n\n```ts\nimport { eq, gt, or, and, not, inArray, like } from '@tanstack\u002Fdb'\n\nconst results = createLiveQueryCollection((q) =>\n q\n .from({ user: usersCollection })\n .where(({ user }) => eq(user.active, true))\n .where(({ user }) =>\n and(\n gt(user.age, 18),\n or(eq(user.role, 'admin'), eq(user.role, 'moderator')),\n not(inArray(user.id, bannedIds)),\n ),\n ),\n)\n```\n\nBoolean column references work directly:\n\n```ts\n.where(({ user }) => user.active) \u002F\u002F bare boolean ref\n.where(({ user }) => not(user.suspended)) \u002F\u002F negated boolean ref\n```\n\n### 2. Joining two collections\n\nJoin conditions **must** use `eq()` (equality only -- IVM constraint). Default join type is `left`. Convenience methods: `leftJoin`, `rightJoin`, `innerJoin`, `fullJoin`.\n\n```ts\nimport { eq } from '@tanstack\u002Fdb'\n\nconst userPosts = createLiveQueryCollection((q) =>\n q\n .from({ user: usersCollection })\n .innerJoin({ post: postsCollection }, ({ user, post }) =>\n eq(user.id, post.userId),\n )\n .select(({ user, post }) => ({\n userName: user.name,\n postTitle: post.title,\n })),\n)\n```\n\nMultiple joins:\n\n```ts\nq.from({ user: usersCollection })\n .join({ post: postsCollection }, ({ user, post }) => eq(user.id, post.userId))\n .join({ comment: commentsCollection }, ({ post, comment }) =>\n eq(post.id, comment.postId),\n )\n```\n\n### 3. Aggregation with groupBy + having\n\nUse `groupBy` to group rows, then aggregate in `select`. Filter groups with `having`. The `$selected` namespace lets `having` and `orderBy` reference fields defined in `select`.\n\n```ts\nimport { count, sum, gt } from '@tanstack\u002Fdb'\n\nconst topCustomers = createLiveQueryCollection((q) =>\n q\n .from({ order: ordersCollection })\n .groupBy(({ order }) => order.customerId)\n .select(({ order }) => ({\n customerId: order.customerId,\n totalSpent: sum(order.amount),\n orderCount: count(order.id),\n }))\n .having(({ $selected }) => gt($selected.totalSpent, 1000))\n .orderBy(({ $selected }) => $selected.totalSpent, 'desc')\n .limit(10),\n)\n```\n\nWithout `groupBy`, aggregates in `select` treat the entire collection as one group:\n\n```ts\nconst stats = createLiveQueryCollection((q) =>\n q.from({ user: usersCollection }).select(({ user }) => ({\n totalUsers: count(user.id),\n avgAge: avg(user.age),\n })),\n)\n```\n\n### 4. Standalone derived collection with createLiveQueryCollection\n\nDerived collections are themselves collections. Use one as a source for another query to cache intermediate results:\n\n```ts\n\u002F\u002F Base derived collection\nconst activeUsers = createLiveQueryCollection((q) =>\n q.from({ user: usersCollection }).where(({ user }) => eq(user.active, true)),\n)\n\n\u002F\u002F Second query uses the derived collection as its source\nconst activeUserPosts = createLiveQueryCollection((q) =>\n q\n .from({ user: activeUsers })\n .join({ post: postsCollection }, ({ user, post }) =>\n eq(user.id, post.userId),\n )\n .select(({ user, post }) => ({\n userName: user.name,\n postTitle: post.title,\n })),\n)\n```\n\nCreate derived collections once at module scope and reuse them. Do not recreate on every render or navigation.\n\n## Virtual Properties\n\nLive query results include computed, read-only virtual properties on every row:\n\n- `$synced`: `true` when the row is confirmed by sync; `false` when it is still optimistic.\n- `$origin`: `\"local\"` if the last confirmed change came from this client, otherwise `\"remote\"`.\n- `$key`: the row key for the result.\n- `$collectionId`: the source collection ID.\n\nThese props are added automatically and can be used in `where`, `select`, and `orderBy` clauses. Do not persist them back to storage.\n\n## Includes (Subqueries in Select)\n\nEmbed a correlated subquery inside `select()` to produce hierarchical (nested) data. The subquery must contain a `where` with an `eq()` that correlates a parent field with a child field. Three materialization modes are available.\n\n### Collection includes (default)\n\nReturn a child `Collection` on each parent row:\n\n```ts\nimport { eq, createLiveQueryCollection } from '@tanstack\u002Fdb'\n\nconst projectsWithIssues = createLiveQueryCollection((q) =>\n q.from({ p: projectsCollection }).select(({ p }) => ({\n id: p.id,\n name: p.name,\n issues: q\n .from({ i: issuesCollection })\n .where(({ i }) => eq(i.projectId, p.id))\n .select(({ i }) => ({\n id: i.id,\n title: i.title,\n })),\n })),\n)\n\n\u002F\u002F Each row's `issues` is a live Collection\nfor (const project of projectsWithIssues) {\n console.log(project.name, project.issues.toArray)\n}\n```\n\n### Array includes with toArray()\n\nWrap the subquery in `toArray()` to get a plain array of scalar values instead of a Collection:\n\n```ts\nimport { eq, toArray, createLiveQueryCollection } from '@tanstack\u002Fdb'\n\nconst messagesWithParts = createLiveQueryCollection((q) =>\n q.from({ m: messagesCollection }).select(({ m }) => ({\n id: m.id,\n contentParts: toArray(\n q\n .from({ c: chunksCollection })\n .where(({ c }) => eq(c.messageId, m.id))\n .orderBy(({ c }) => c.timestamp)\n .select(({ c }) => c.text),\n ),\n })),\n)\n\u002F\u002F row.contentParts is string[]\n```\n\n### Concatenated scalar with concat(toArray())\n\nWrap `toArray()` in `concat()` to join the scalar results into a single string:\n\n```ts\nimport { eq, toArray, concat, createLiveQueryCollection } from '@tanstack\u002Fdb'\n\nconst messagesWithContent = createLiveQueryCollection((q) =>\n q.from({ m: messagesCollection }).select(({ m }) => ({\n id: m.id,\n content: concat(\n toArray(\n q\n .from({ c: chunksCollection })\n .where(({ c }) => eq(c.messageId, m.id))\n .orderBy(({ c }) => c.timestamp)\n .select(({ c }) => c.text),\n ),\n ),\n })),\n)\n\u002F\u002F row.content is a single concatenated string\n```\n\n### Includes rules\n\n- The subquery **must** have a `where` clause with an `eq()` correlating a parent alias with a child alias. The library extracts this automatically as the join condition.\n- `toArray()` works with both scalar selects (e.g., `select(({ c }) => c.text)` → `string[]`) and object selects (e.g., `select(({ c }) => ({ id: c.id, title: c.title }))` → `Array\u003C{id, title}>`).\n- `concat(toArray())` requires a **scalar** `select` to concatenate into a string.\n- Collection includes (bare subquery) require an **object** `select`.\n- Includes subqueries are compiled into the same incremental pipeline as the parent query -- they are not separate live queries.\n\n## One-Shot Queries with queryOnce\n\nFor non-reactive, one-time snapshots use `queryOnce`. It creates a live query collection, preloads it, extracts the results, and cleans up automatically.\n\n```ts\nimport { eq, queryOnce } from '@tanstack\u002Fdb'\n\nconst activeUsers = await queryOnce((q) =>\n q\n .from({ user: usersCollection })\n .where(({ user }) => eq(user.active, true))\n .select(({ user }) => ({ id: user.id, name: user.name })),\n)\n\n\u002F\u002F With findOne — resolves to T | undefined\nconst user = await queryOnce((q) =>\n q\n .from({ user: usersCollection })\n .where(({ user }) => eq(user.id, userId))\n .findOne(),\n)\n```\n\nUse `queryOnce` for scripts, loaders, data export, tests, or AI\u002FLLM context building. For UI bindings and reactive updates, use live queries instead.\n\n## Reactive Effects (createEffect)\n\nReactive effects respond to query result _changes_ without materializing the full result set. Effects fire callbacks when rows enter, exit, or update within a query result — like a database trigger on an arbitrary live query.\n\n```ts\nimport { createEffect, eq } from '@tanstack\u002Fdb'\n\nconst effect = createEffect({\n query: (q) =>\n q\n .from({ msg: messagesCollection })\n .where(({ msg }) => eq(msg.role, 'user')),\n skipInitial: true,\n onEnter: async (event, ctx) => {\n await processNewMessage(event.value, { signal: ctx.signal })\n },\n onExit: (event) => {\n console.log('Message left result set:', event.key)\n },\n onError: (error, event) => {\n console.error(`Failed to process ${event.key}:`, error)\n },\n})\n\n\u002F\u002F Dispose when no longer needed\nawait effect.dispose()\n```\n\n| Use case | Approach |\n| ------------------------------- | ----------------------------------------------------- |\n| Display query results in UI | Live query collection + `useLiveQuery` |\n| React to changes (side effects) | `createEffect` with `onEnter` \u002F `onUpdate` \u002F `onExit` |\n| Inspect full batch of changes | `createEffect` with `onBatch` |\n\nKey options: `id` (optional), `query`, `skipInitial` (skip existing rows on init), `onEnter`, `onUpdate`, `onExit`, `onBatch`, `onError`, `onSourceError`. The `ctx.signal` aborts when the effect is disposed.\n\n## Common Mistakes\n\n### CRITICAL: Using === instead of eq()\n\nJavaScript `===` in a where callback returns a boolean primitive, not an expression object. Throws `InvalidWhereExpressionError`.\n\n```ts\n\u002F\u002F WRONG\nq.from({ user: usersCollection }).where(({ user }) => user.active === true)\n\n\u002F\u002F CORRECT\nq.from({ user: usersCollection }).where(({ user }) => eq(user.active, true))\n```\n\n### CRITICAL: Filtering in JS instead of query operators\n\nJS `.filter()` \u002F `.map()` on the result array throws away incremental maintenance -- the JS code re-runs from scratch on every change.\n\n```ts\n\u002F\u002F WRONG -- re-runs filter on every change\nconst { data } = useLiveQuery((q) => q.from({ todos: todosCollection }))\nconst active = data.filter((t) => t.completed === false)\n\n\u002F\u002F CORRECT -- incrementally maintained\nconst { data } = useLiveQuery((q) =>\n q\n .from({ todos: todosCollection })\n .where(({ todos }) => eq(todos.completed, false)),\n)\n```\n\n### HIGH: Not using the full operator set\n\nThe library provides string functions (`upper`, `lower`, `length`, `concat`), math (`add`), utility functions (`coalesce`, `caseWhen`), and aggregates (`count`, `sum`, `avg`, `min`, `max`). All are incrementally maintained. Prefer them over JS equivalents.\n\n```ts\n\u002F\u002F WRONG\n.fn.select((row) => ({\n name: row.user.name.toUpperCase(),\n total: row.order.price + row.order.tax,\n}))\n\n\u002F\u002F CORRECT\n.select(({ user, order }) => ({\n name: upper(user.name),\n total: add(order.price, order.tax),\n displayName: coalesce(user.displayName, user.name, 'Unknown'),\n}))\n```\n\n### HIGH: Missing conditional expression helpers\n\nUse `coalesce()` for null\u002Fundefined fallbacks and `caseWhen()` for conditional\ncomputed fields. JavaScript operators like `||` or ternaries do not build query\nexpressions inside standard `.select()` callbacks.\n\n```ts\n\u002F\u002F WRONG -- document.title is a query ref, not a runtime string\n.select(({ document }) => ({\n displayTitle: document.title || 'Untitled document',\n}))\n\n\u002F\u002F CORRECT -- fallback for null\u002Fundefined\n.select(({ document }) => ({\n displayTitle: coalesce(document.title, 'Untitled document'),\n}))\n\n\u002F\u002F CORRECT -- fallback for null\u002Fundefined and empty string\n.select(({ document }) => ({\n displayTitle: caseWhen(\n eq(coalesce(document.title, ''), ''),\n 'Untitled document',\n document.title,\n ),\n}))\n```\n\nUse `fn.select()` only when you genuinely need arbitrary JavaScript; it cannot\nbe optimized like expression-based `.select()`.\n\n### HIGH: .distinct() without .select()\n\n`distinct()` deduplicates by the selected columns. Without `select()`, throws `DistinctRequiresSelectError`.\n\n```ts\n\u002F\u002F WRONG\nq.from({ user: usersCollection }).distinct()\n\n\u002F\u002F CORRECT\nq.from({ user: usersCollection })\n .select(({ user }) => ({ country: user.country }))\n .distinct()\n```\n\n### HIGH: .having() without .groupBy()\n\n`having` filters aggregated groups. Without `groupBy`, there are no groups. Throws `HavingRequiresGroupByError`.\n\n```ts\n\u002F\u002F WRONG\nq.from({ order: ordersCollection }).having(({ order }) =>\n gt(count(order.id), 5),\n)\n\n\u002F\u002F CORRECT\nq.from({ order: ordersCollection })\n .groupBy(({ order }) => order.customerId)\n .having(({ order }) => gt(count(order.id), 5))\n```\n\n### HIGH: .limit() \u002F .offset() without .orderBy()\n\nWithout deterministic ordering, limit\u002Foffset results are non-deterministic and cannot be incrementally maintained. Throws `LimitOffsetRequireOrderByError`.\n\n```ts\n\u002F\u002F WRONG\nq.from({ user: usersCollection }).limit(10)\n\n\u002F\u002F CORRECT\nq.from({ user: usersCollection })\n .orderBy(({ user }) => user.name)\n .limit(10)\n```\n\n### HIGH: Join condition using non-eq() operator\n\nThe differential dataflow join operator only supports equality joins. Using `gt()`, `like()`, etc. throws `JoinConditionMustBeEqualityError`.\n\n```ts\n\u002F\u002F WRONG\nq.from({ user: usersCollection }).join(\n { post: postsCollection },\n ({ user, post }) => gt(user.id, post.userId),\n)\n\n\u002F\u002F CORRECT\nq.from({ user: usersCollection }).join(\n { post: postsCollection },\n ({ user, post }) => eq(user.id, post.userId),\n)\n```\n\n### MEDIUM: Passing source directly instead of {alias: collection}\n\n`from()` and `join()` require sources wrapped as `{alias: collection}`. Passing the collection directly throws `InvalidSourceTypeError`.\n\n```ts\n\u002F\u002F WRONG\nq.from(usersCollection)\n\n\u002F\u002F CORRECT\nq.from({ users: usersCollection })\n```\n\n## Tension: Query expressiveness vs. IVM constraints\n\nThe query builder looks like SQL but has constraints that SQL does not:\n\n- **Equality joins only** -- `eq()` is the only allowed join condition operator.\n- **orderBy required for limit\u002Foffset** -- non-deterministic pagination cannot be incrementally maintained.\n- **distinct requires select** -- deduplication needs an explicit projection.\n- **fn.select() cannot be used with groupBy()** -- the compiler must statically analyze select to discover aggregate functions.\n\nThese constraints exist because the underlying d2ts differential dataflow engine requires them for correct incremental view maintenance.\n\nSee also: react-db\u002FSKILL.md for React hooks (`useLiveQuery`, `useLiveSuspenseQuery`, `useLiveInfiniteQuery`).\n\n## References\n\n- [Query Operators Reference](.\u002Freferences\u002Foperators.md) -- full signatures and examples for all operators, functions, and aggregates.\n",{"data":33,"body":41},{"name":5,"description":7,"type":34,"library":35,"library_version":36,"sources":37},"sub-skill","db","0.6.0",[38,39,40],"TanStack\u002Fdb:docs\u002Fguides\u002Flive-queries.md","TanStack\u002Fdb:packages\u002Fdb\u002Fsrc\u002Fquery\u002Fbuilder\u002Findex.ts","TanStack\u002Fdb:packages\u002Fdb\u002Fsrc\u002Fquery\u002Fcompiler\u002Findex.ts",{"type":42,"children":43},"root",[44,53,63,76,81,88,93,1068,1074,1081,1117,1619,1624,1733,1739,1795,2168,2173,2428,2434,2491,2999,3018,3233,3239,3244,3737,3742,3748,3753,3832,3857,3863,3890,3896,3909,4519,4525,4538,5018,5024,5044,5549,5555,5671,5677,5690,6190,6201,6207,6220,6863,6973,7046,7052,7058,7078,7303,7309,7329,7695,7701,7794,8208,8214,8250,8672,8690,8696,8721,8932,8938,8962,9266,9272,9284,9485,9491,9518,9845,9851,9884,9976,9982,9987,10037,10042,10067,10073,10088],{"type":45,"tag":46,"props":47,"children":49},"element","h1",{"id":48},"live-queries",[50],{"type":51,"value":52},"text","Live Queries",{"type":45,"tag":54,"props":55,"children":56},"blockquote",{},[57],{"type":45,"tag":58,"props":59,"children":60},"p",{},[61],{"type":51,"value":62},"This skill builds on db-core.",{"type":45,"tag":58,"props":64,"children":65},{},[66,68,74],{"type":51,"value":67},"TanStack DB live queries use a SQL-like fluent query builder to create ",{"type":45,"tag":69,"props":70,"children":71},"strong",{},[72],{"type":51,"value":73},"reactive derived collections",{"type":51,"value":75}," that automatically update when underlying data changes. The query engine compiles queries into incremental view maintenance (IVM) pipelines using differential dataflow (d2ts), so only deltas are recomputed.",{"type":45,"tag":58,"props":77,"children":78},{},[79],{"type":51,"value":80},"All operators, string functions, math functions, and aggregates are incrementally maintained. Prefer them over equivalent JS code.",{"type":45,"tag":82,"props":83,"children":85},"h2",{"id":84},"setup",[86],{"type":51,"value":87},"Setup",{"type":45,"tag":58,"props":89,"children":90},{},[91],{"type":51,"value":92},"Minimal example using the core API (no framework hooks):",{"type":45,"tag":94,"props":95,"children":100},"pre",{"className":96,"code":97,"language":98,"meta":99,"style":99},"language-ts shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","import {\n createCollection,\n createLiveQueryCollection,\n liveQueryCollectionOptions,\n eq,\n} from '@tanstack\u002Fdb'\n\n\u002F\u002F Assume usersCollection is already created via createCollection(...)\n\n\u002F\u002F Option 1: createLiveQueryCollection shorthand\nconst activeUsers = createLiveQueryCollection((q) =>\n q\n .from({ user: usersCollection })\n .where(({ user }) => eq(user.active, true))\n .select(({ user }) => ({\n id: user.id,\n name: user.name,\n email: user.email,\n })),\n)\n\n\u002F\u002F Option 2: full options via liveQueryCollectionOptions\nconst activeUsers2 = createCollection(\n liveQueryCollectionOptions({\n query: (q) =>\n q\n .from({ user: usersCollection })\n .where(({ user }) => eq(user.active, true))\n .select(({ user }) => ({\n id: user.id,\n name: user.name,\n })),\n getKey: (user) => user.id,\n }),\n)\n\n\u002F\u002F The result is a live collection -- iterate, subscribe, or use as source\nfor (const user of activeUsers) {\n 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joins only",{"type":51,"value":9999}," -- ",{"type":45,"tag":102,"props":10001,"children":10003},{"className":10002},[],[10004],{"type":51,"value":1756},{"type":51,"value":10006}," is the only allowed join condition operator.",{"type":45,"tag":3758,"props":10008,"children":10009},{},[10010,10015],{"type":45,"tag":69,"props":10011,"children":10012},{},[10013],{"type":51,"value":10014},"orderBy required for limit\u002Foffset",{"type":51,"value":10016}," -- non-deterministic pagination cannot be incrementally maintained.",{"type":45,"tag":3758,"props":10018,"children":10019},{},[10020,10025],{"type":45,"tag":69,"props":10021,"children":10022},{},[10023],{"type":51,"value":10024},"distinct requires select",{"type":51,"value":10026}," -- deduplication needs an explicit projection.",{"type":45,"tag":3758,"props":10028,"children":10029},{},[10030,10035],{"type":45,"tag":69,"props":10031,"children":10032},{},[10033],{"type":51,"value":10034},"fn.select() cannot be used with groupBy()",{"type":51,"value":10036}," -- the compiler must statically analyze select to discover aggregate functions.",{"type":45,"tag":58,"props":10038,"children":10039},{},[10040],{"type":51,"value":10041},"These constraints exist because the underlying d2ts differential dataflow engine requires them for correct incremental view maintenance.",{"type":45,"tag":58,"props":10043,"children":10044},{},[10045,10047,10052,10053,10059,10060,10066],{"type":51,"value":10046},"See also: react-db\u002FSKILL.md for React hooks (",{"type":45,"tag":102,"props":10048,"children":10050},{"className":10049},[],[10051],{"type":51,"value":6909},{"type":51,"value":1101},{"type":45,"tag":102,"props":10054,"children":10056},{"className":10055},[],[10057],{"type":51,"value":10058},"useLiveSuspenseQuery",{"type":51,"value":1101},{"type":45,"tag":102,"props":10061,"children":10063},{"className":10062},[],[10064],{"type":51,"value":10065},"useLiveInfiniteQuery",{"type":51,"value":5623},{"type":45,"tag":82,"props":10068,"children":10070},{"id":10069},"references",[10071],{"type":51,"value":10072},"References",{"type":45,"tag":3754,"props":10074,"children":10075},{},[10076],{"type":45,"tag":3758,"props":10077,"children":10078},{},[10079,10086],{"type":45,"tag":10080,"props":10081,"children":10083},"a",{"href":10082},".\u002Freferences\u002Foperators.md",[10084],{"type":51,"value":10085},"Query Operators Reference",{"type":51,"value":10087}," -- full signatures and examples for all operators, functions, and aggregates.",{"type":45,"tag":10089,"props":10090,"children":10091},"style",{},[10092],{"type":51,"value":10093},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":10095,"total":306},[10096,10110,10122,10133,10146,10152,10165],{"slug":10097,"name":10097,"fn":10098,"description":10099,"org":10100,"tags":10101,"stars":21,"repoUrl":22,"updatedAt":10109},"angular-db","integrate TanStack DB with Angular","Angular bindings for TanStack DB. injectLiveQuery inject function with Angular signals (Signal\u003CT>) for all return values. Reactive params pattern ({ params: () => T, query: ({ params, q }) => QueryBuilder }) for dynamic queries. Must be called in injection context. Angular 17+ control flow (@if, @for) and signal inputs supported. Import from @tanstack\u002Fangular-db (re-exports all of @tanstack\u002Fdb).\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10102,10105,10106],{"name":10103,"slug":10104,"type":16},"Angular","angular",{"name":14,"slug":15,"type":16},{"name":10107,"slug":10108,"type":16},"TypeScript","typescript","2026-07-16T06:01:16.345046",{"slug":10111,"name":10111,"fn":10112,"description":10113,"org":10114,"tags":10115,"stars":21,"repoUrl":22,"updatedAt":10121},"db-core","manage database collections with TanStack DB","TanStack DB core concepts: createCollection with queryCollectionOptions, electricCollectionOptions, powerSyncCollectionOptions, rxdbCollectionOptions, trailbaseCollectionOptions, localOnlyCollectionOptions. Live queries via query builder (from, where, join, select, groupBy, orderBy, limit). Optimistic mutations with draft proxy (collection.insert, collection.update, collection.delete). createOptimisticAction, createTransaction, createPacedMutations. Entry point for all TanStack DB skills.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10116,10119,10120],{"name":10117,"slug":10118,"type":16},"Data Modeling","data-modeling",{"name":14,"slug":15,"type":16},{"name":10,"slug":9,"type":16},"2026-07-17T06:06:40.214285",{"slug":10123,"name":10124,"fn":10125,"description":10126,"org":10127,"tags":10128,"stars":21,"repoUrl":22,"updatedAt":10132},"db-corecollection-setup","db-core\u002Fcollection-setup","set up typed collections in TanStack DB","Creating typed collections with createCollection. Adapter selection: queryCollectionOptions (REST\u002FTanStack Query), electricCollectionOptions (ElectricSQL real-time sync), powerSyncCollectionOptions (PowerSync SQLite), rxdbCollectionOptions (RxDB), trailbaseCollectionOptions (TrailBase), localOnlyCollectionOptions, localStorageCollectionOptions. CollectionConfig options: getKey, schema, sync, gcTime, autoIndex (default off), defaultIndexType, syncMode (eager\u002Fon-demand, plus progressive for Electric). StandardSchema validation with Zod\u002FValibot\u002FArkType. Collection lifecycle (idle\u002Floading\u002Fready\u002Ferror). Adapter-specific sync patterns including Electric txid tracking, Query direct writes, and PowerSync query-driven sync with onLoad\u002FonLoadSubset hooks.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10129,10130,10131],{"name":10117,"slug":10118,"type":16},{"name":14,"slug":15,"type":16},{"name":10,"slug":9,"type":16},"2026-07-26T05:48:58.321777",{"slug":10134,"name":10135,"fn":10136,"description":10137,"org":10138,"tags":10139,"stars":21,"repoUrl":22,"updatedAt":10145},"db-corecustom-adapter","db-core\u002Fcustom-adapter","build custom TanStack collection adapters","Building custom collection adapters for new backends. SyncConfig interface: sync function receiving begin, write, commit, markReady, truncate, metadata primitives. ChangeMessage format (insert, update, delete). loadSubset for on-demand sync. LoadSubsetOptions (where, orderBy, limit, cursor). Expression parsing: parseWhereExpression, parseOrderByExpression, extractSimpleComparisons, parseLoadSubsetOptions. Collection options creator pattern. rowUpdateMode (partial vs full). Subscription lifecycle and cleanup functions. Persisted sync metadata API (metadata.row and metadata.collection) for storing per-row and per-collection adapter state.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10140,10141,10144],{"name":14,"slug":15,"type":16},{"name":10142,"slug":10143,"type":16},"Engineering","engineering",{"name":10,"slug":9,"type":16},"2026-07-16T06:04:06.862485",{"slug":4,"name":5,"fn":6,"description":7,"org":10147,"tags":10148,"stars":21,"repoUrl":22,"updatedAt":23},{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10149,10150,10151],{"name":14,"slug":15,"type":16},{"name":18,"slug":19,"type":16},{"name":10,"slug":9,"type":16},{"slug":10153,"name":10154,"fn":10155,"description":10156,"org":10157,"tags":10158,"stars":21,"repoUrl":22,"updatedAt":10164},"db-coremutations-optimistic","db-core\u002Fmutations-optimistic","manage optimistic mutations in TanStack DB","collection.insert, collection.update (Immer-style draft proxy), collection.delete. createOptimisticAction (onMutate + mutationFn). createPacedMutations with debounceStrategy, throttleStrategy, queueStrategy. createTransaction, getActiveTransaction, ambient transaction context. Transaction lifecycle (pending\u002Fpersisting\u002Fcompleted\u002Ffailed). Mutation merging. onInsert\u002FonUpdate\u002FonDelete handlers. PendingMutation type. Transaction.isPersisted.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10159,10160,10163],{"name":14,"slug":15,"type":16},{"name":10161,"slug":10162,"type":16},"Frontend","frontend",{"name":10,"slug":9,"type":16},"2026-07-26T05:48:57.301803",{"slug":10166,"name":10167,"fn":10168,"description":10169,"org":10170,"tags":10171,"stars":21,"repoUrl":22,"updatedAt":10180},"db-corepersistence","db-core\u002Fpersistence","implement SQLite-backed persistence for TanStack DB","SQLite-backed persistence for TanStack DB collections. persistedCollectionOptions wraps any adapter (Electric, Query, PowerSync, or local-only) with durable local storage. Platform adapters: browser (WA-SQLite OPFS), React Native (op-sqlite), Expo (expo-sqlite), Electron (IPC), Node (better-sqlite3), Capacitor, Tauri, Cloudflare Durable Objects. Multi-tab\u002Fmulti-process coordination via BrowserCollectionCoordinator \u002F ElectronCollectionCoordinator \u002F SingleProcessCoordinator. schemaVersion for migration resets. Local-only mode for offline-first without a server.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10172,10173,10176,10179],{"name":14,"slug":15,"type":16},{"name":10174,"slug":10175,"type":16},"Persistence","persistence",{"name":10177,"slug":10178,"type":16},"SQLite","sqlite",{"name":10,"slug":9,"type":16},"2026-07-17T06:06:39.182084",{"items":10182,"total":10322},[10183,10197,10209,10221,10236,10248,10258,10268,10281,10291,10302,10312],{"slug":10184,"name":10184,"fn":10185,"description":10186,"org":10187,"tags":10188,"stars":10194,"repoUrl":10195,"updatedAt":10196},"aggregation","perform data aggregation in TanStack Table","Aggregate TanStack Table columns independently of grouping, including grand totals, caller-selected row totals, multiple keyed aggregations, custom context-based definitions, grouped merges, manual values, and worker constraints.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10189,10192,10193],{"name":10190,"slug":10191,"type":16},"Data Analysis","data-analysis",{"name":10161,"slug":10162,"type":16},{"name":10,"slug":9,"type":16},28175,"https:\u002F\u002Fgithub.com\u002FTanStack\u002Ftable","2026-07-30T05:25:59.429787",{"slug":10198,"name":10198,"fn":10199,"description":10200,"org":10201,"tags":10202,"stars":10194,"repoUrl":10195,"updatedAt":10208},"api-not-found","diagnose TanStack Table API errors","Diagnose missing TanStack Table v9 exports, options, state slices, and instance methods. Load before inventing an API when code sees a type error, undefined feature method, absent object key, adapter mismatch, or v8-shaped example.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10203,10206,10207],{"name":10204,"slug":10205,"type":16},"Debugging","debugging",{"name":10161,"slug":10162,"type":16},{"name":10,"slug":9,"type":16},"2026-07-30T05:26:05.418735",{"slug":10210,"name":10210,"fn":10211,"description":10212,"org":10213,"tags":10214,"stars":10194,"repoUrl":10195,"updatedAt":10220},"cell-selection","select rectangular cell ranges in tables","Select rectangular cell ranges with cellSelectionFeature: two-corner range state keyed by row and column id, mousedown\u002Fmouseenter handlers, selection edges, render-order resolution under pinning, and autoResetCellSelection. Load when ranges widen unexpectedly after sorting or column reordering, when a drag re-renders the whole table, or when building copy-to-clipboard from a selection.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10215,10216,10217],{"name":10190,"slug":10191,"type":16},{"name":10,"slug":9,"type":16},{"name":10218,"slug":10219,"type":16},"UI Components","ui-components","2026-07-30T05:25:38.403427",{"slug":10222,"name":10222,"fn":10223,"description":10224,"org":10225,"tags":10226,"stars":10194,"repoUrl":10195,"updatedAt":10235},"client-vs-server","manage TanStack Table data pipelines","Choose client or server ownership for filtering, grouping, sorting, expanding, and pagination in TanStack Table v9. Load for manual* flags, mixed pipelines, server counts, or deciding which dataset each row-model stage receives.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10227,10230,10231,10234],{"name":10228,"slug":10229,"type":16},"Data Pipeline","data-pipeline",{"name":10161,"slug":10162,"type":16},{"name":10232,"slug":10233,"type":16},"Performance","performance",{"name":10,"slug":9,"type":16},"2026-07-30T05:25:45.400104",{"slug":10237,"name":10237,"fn":10238,"description":10239,"org":10240,"tags":10241,"stars":10194,"repoUrl":10195,"updatedAt":10247},"column-faceting","build faceted filter UIs","Build faceted filter UIs with columnFacetingFeature, facetedRowModel, facetedUniqueValues, and facetedMinMaxValues. Load for facet counts, numeric ranges, own-filter exclusion, or server-page facet completeness.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10242,10245,10246],{"name":10243,"slug":10244,"type":16},"Data Visualization","data-visualization",{"name":10161,"slug":10162,"type":16},{"name":10,"slug":9,"type":16},"2026-07-30T05:25:41.397257",{"slug":10249,"name":10249,"fn":10250,"description":10251,"org":10252,"tags":10253,"stars":10194,"repoUrl":10195,"updatedAt":10257},"column-filtering","implement column filtering in TanStack Table","Filter columns with columnFilteringFeature, filteredRowModel, filterFns, filterMeta, nested-row direction, and manualFiltering. Load for accessor compatibility, controlled filter updaters, fuzzy metadata, or client\u002Fserver ownership.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10254,10255,10256],{"name":10190,"slug":10191,"type":16},{"name":10161,"slug":10162,"type":16},{"name":10,"slug":9,"type":16},"2026-07-30T05:25:53.391632",{"slug":10259,"name":10259,"fn":10260,"description":10261,"org":10262,"tags":10263,"stars":10194,"repoUrl":10195,"updatedAt":10267},"column-ordering","manage TanStack Table column ordering","Control TanStack Table v9 leaf columnOrder with stable IDs while accounting for pinning regions, visibility, and groupedColumnMode precedence. Load for drag-and-drop columns or rendered order that differs from state.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10264,10265,10266],{"name":10161,"slug":10162,"type":16},{"name":10,"slug":9,"type":16},{"name":10218,"slug":10219,"type":16},"2026-07-30T05:26:03.37801",{"slug":10269,"name":10269,"fn":10270,"description":10271,"org":10272,"tags":10273,"stars":10194,"repoUrl":10195,"updatedAt":10280},"column-pinning","configure column pinning in TanStack Table","Pin columns into logical start, center, and end regions with columnPinningFeature and renderer-owned sticky CSS. Load for RTL offsets, z-index, backgrounds, overflow, widths, gaps, or overlaps.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10274,10277,10278,10279],{"name":10275,"slug":10276,"type":16},"CSS","css",{"name":10161,"slug":10162,"type":16},{"name":10,"slug":9,"type":16},{"name":10218,"slug":10219,"type":16},"2026-07-30T05:25:55.377366",{"slug":10282,"name":10282,"fn":10283,"description":10284,"org":10285,"tags":10286,"stars":10194,"repoUrl":10195,"updatedAt":10290},"column-resizing","implement column resizing in TanStack Table","Wire columnResizingFeature, header.getResizeHandler, resize mode and direction, pointer or touch events, and performant CSS-variable updates. Load when resize state changes but widths do not, or large tables resize slowly.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10287,10288,10289],{"name":10161,"slug":10162,"type":16},{"name":10,"slug":9,"type":16},{"name":10218,"slug":10219,"type":16},"2026-07-30T05:25:51.400011",{"slug":10292,"name":10292,"fn":10293,"description":10294,"org":10295,"tags":10296,"stars":10194,"repoUrl":10195,"updatedAt":10301},"column-sizing","configure column sizing in TanStack Table","Use columnSizingFeature numeric size, minSize, maxSize, getSize, getStart, getAfter, and total-size APIs in table, grid, or flex CSS. Load for auto or percentage misconceptions and sizing\u002Fpinning layout mismatch.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10297,10298,10299,10300],{"name":10275,"slug":10276,"type":16},{"name":10161,"slug":10162,"type":16},{"name":10,"slug":9,"type":16},{"name":10218,"slug":10219,"type":16},"2026-07-30T05:25:48.703799",{"slug":10303,"name":10303,"fn":10304,"description":10305,"org":10306,"tags":10307,"stars":10194,"repoUrl":10195,"updatedAt":10311},"column-visibility","manage column visibility in TanStack Table","Hide columns with columnVisibilityFeature while rendering visibility-aware header, column, and cell collections. Load when hidden columns remain in the DOM, false-versus-absent state is confused, or enableHiding is misunderstood.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10308,10309,10310],{"name":10161,"slug":10162,"type":16},{"name":10,"slug":9,"type":16},{"name":10218,"slug":10219,"type":16},"2026-07-30T05:25:47.367943",{"slug":10313,"name":10313,"fn":10314,"description":10315,"org":10316,"tags":10317,"stars":10194,"repoUrl":10195,"updatedAt":10321},"core","build data grids with TanStack Table","Use TanStack Table v9 as a headless data-grid state and row-processing engine. Load for first-table architecture, stable data and columns, row numbering with getDisplayIndex, semantic rendering, framework adapter choice, or deciding what Table owns versus the renderer.\n",{"slug":9,"name":10,"logoUrl":11,"githubOrg":10},[10318,10319,10320],{"name":10190,"slug":10191,"type":16},{"name":10161,"slug":10162,"type":16},{"name":10218,"slug":10219,"type":16},"2026-07-30T05:25:52.366295",125]