🌐 Web query:

Appwrite v1.8 Query.select wildcard relationships documentation

💡 Result:

Short summary — Appwrite v1.8 Query.select (relationships)

• The select operator supports wildcard patterns to load relationships. You can use:

  • ["*"] — all document fields.
  • ["relationName.*"] — all fields of a related document.
  • Mixed patterns like ["", "relationName.field1", "relationName.nestedRelation."].
    Relationship loading is opt‑in (relations are returned as IDs by default; include them in select to load the related documents). [1]

• Example usages and selection patterns are shown in the Databases Queries docs (select relationship data, nested relations, and performance guidance). [1]

• Caveats: community threads report intermittent issues/edge cases with Query.select on relationship attributes (some users hit errors or missing relationship fields when using select). If you see unexpected behavior, check the thread/issue reports and consider updating Appwrite or filing an issue with a minimal repro. [2][3]

Sources
[1] Appwrite Docs — Databases / Queries (select & relationship selection).
[2] Appwrite Threads — “Query.select() on relationships” discussion.
[3] Appwrite Threads — “Query.select ["attribute name.*"] doesn't return the attribute if it's a relationship” discussion.

🌐 Web query:

Appwrite Query.select best practices fetching relationships

💡 Result:

Short answer — treat Appwrite relationship loading as opt-in and limited: explicitly select only the relationship fields you need, prefer querying by foreign-key attributes (denormalize where useful) and fetch related rows in separate calls or with batched requests. This minimizes payload, avoids unsupported relationship-query behavior, and improves performance. [1][2][9]

Practical best practices

• Only select needed fields: use Query.select to return just specific scalar and relationship fields (e.g., "author.name", "comments.text") to reduce payload. Prefer selecting nested attributes rather than full objects. [1]
• Assume relationship queries are limited/unstable: Appwrite’s relationship querying is opt‑in and historically limited/beta — many community threads show Query.select on relationships can be inconsistent. Don’t rely on complex relationship filters (e.g., Query.equal on nested relationship attributes) unless you verify your Appwrite version supports it. Test on your version. [2][3][9]
• Use explicit foreign-key attributes for filtering: add and query by FK fields (e.g., postId, userId) on the related collection, then fetch related documents. This is more reliable and performant than trying to run filters through relationship attributes. [3][1]
• Batch related fetches: fetch parent rows (with IDs), then batch-request related rows (single listDocuments call with Query.equal("$id", [...]) or Query.in-style fetch) to reduce roundtrips. Combine on the client/server to assemble relationships. [2][9]
• Denormalize selectively: duplicate small, frequently-read data (e.g., author name) on the child document to avoid joins when read performance matters. Keep writes consistent with update hooks or functions. [1]
• Paginate and limit nested loads: never auto-load large relationship arrays; use Query.limit/offset or cursor-style pagination for related collections. [1]
• Index and constrain at DB level where possible: ensure attributes you query (FKs, status, timestamps) are indexed to keep selects fast. (Appwrite uses SQL backends; design for the underlying DB.) [9]
• Cache aggressively for read-heavy relationships: use in-memory caches or CDNs for denormalized read paths to avoid repeated relationship loads.
• Verify behavior per Appwrite version and file issues: because relationship support evolved and community reports inconsistencies, always validate behavior on your Appwrite release and consult/raise issues if you see mismatches. [2][5][9]

If you want, tell me your schema (collections and relationships) and I’ll propose a concrete fetch pattern (selects, batching, denormalization) for it.

Sources: Appwrite Queries docs and community threads documenting relationship/Query.select behavior and workarounds. [1] Appwrite Docs — Queries. [2] Appwrite community threads on relationship querying/best practices. [3] Appwrite GitHub discussion on relationship queries.

🌐 Web query:

Appwrite v1.8 breaking changes relationships migration guide

💡 Result:

Summary — what changed in v1.8

• Relationship loading became "opt‑in": Appwrite no longer expands related documents by default; you must explicitly request which relationship fields to resolve when querying (smaller payloads, faster queries). [1][2]
• Some SDK calls/behaviour around relationships and creating/updating rows changed (you may need to pass parent IDs instead of full objects and use the SDKs that target 1.8+). There were also a few 1.8 regressions that were patched in point releases — test against the latest 1.8.x. [2][3][4]

Required migration steps (concise)

1. Backup first

   • Snapshot DB + filesystem before any upgrade/migration. Run and verify a dev/staging migration first. [5]

2. Install the Appwrite 1.8.x server image and run the official migration

   • Pull the 1.8 tag and run the built‑in migration tool (docker compose exec appwrite migrate). Follow the Updates & Migrations docs. [5]

3. Upgrade SDKs to versions that support 1.8

   • Use the SDK releases that explicitly list Appwrite 1.8 support (e.g., new JS / mobile SDK releases). Older SDKs will not provide the new query params or may expect previous default-expanded behaviour. [4]

4. Update queries to opt‑in relationship loading

   • Replace code that relied on automatic expansion with explicit select/relationship resolution. Example (conceptual):
     • Before (auto-expanded): listDocuments(...)
     • After (opt‑in): listDocuments(..., Query.select(['', 'author.', 'author.profile.']))
   • Use your SDK’s select/fields parameter to list relationship paths you want expanded. Wildcards are not equivalent to the old default — you must name the relationships to resolve. [2][3]

5. Adjust create/update payloads where necessary

   • If you previously sent nested objects for relationship fields, switch to sending the parent document's ID (or the new expected shape) per the 1.8 SDK docs/examples. Some users reported needing to pass IDs rather than full objects. Test your create/update flows. [3]

6. Test deep / list behaviors

   • Verify listDocuments/getDocument returns expected expanded relationships for single and multi-document queries (there were early issues where only the first document’s nested relationships expanded — ensure you’re on a patched 1.8.x). [3][6]

7. Fix Console / CLI schema pushes if used

   • If you push schema with the CLI or Console, ensure you use the Console/CLI versions compatible with 1.8; some users reported broken pushes until Console/CLI were updated. Alternatively use API scripts until tooling is stable. [3]

8. Monitor threads/patches and update to latest 1.8.x

   • Watch the Appwrite changelog & threads for 1.8.x fixes and apply point releases (e.g., 1.8.1) — some relationship regressions were fixed after initial 1.8.0 rollouts. [2][6]

Helpful references

• Opt‑in relationship loading announcement / changelog entry. [1]
• Threads reporting behavior changes, guidance and known issues (relationship resolution, need to pass IDs, and partial expansion bugs). [3][6]
• SDK changelogs (example: Flutter / JS SDK notes that mention Appwrite 1.8 support). [4]
• Appwrite Updates & Migrations docs (how to run the migrate command and migration recommendations). [5]

If you want, I can:

• scan your code (examples) and show the exact query changes you’ll need, or
• produce a small diff example (JS / Flutter / Python) converting your current list/get calls to the new opt‑in select format.

Sources

1. Appwrite changelog — Announcing Opt‑in relationship loading. [Appwrite changelog]. [link].
2. Appwrite threads: Many‑to‑One Relationship Issue after 1.8 and related discussion. [Appwrite Threads]. [link].
3. Appwrite threads: Reports of relationship attributes not returned / two‑deep expansion issues. [Appwrite Threads]. [link].
4. SDK changelog (example: Flutter / Pub changelog showing support for Appwrite 1.8). [pub.dev changelog]. [link].
5. Appwrite Updates & Migrations docs (how to run migrate). [Appwrite docs — Updates & migrations]. [link].
6. Release / RC notes and fixes for 1.8.x. [NewReleases / Appwrite changelog]. [link].

(If you want, paste one example API call or SDK snippet and I’ll give the exact migration diff.)