A live query whose first on-demand subset load failed stays in error after a later load succeeds

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技术栈
typescript
领域
backend, databases

调研方向

Start with the named failure handling in db/src/query/live/collection-subscriber.ts and collection-config-builder.ts, then trace how a successful source refetch updates live query state. The issue includes a Vitest reproduction; run it to confirm the failure, then verify that after the retry succeeds the live query leaves error and exposes both rows.

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描述

  • I've validated the bug against the latest version of DB packages

Describe the bug

If a live query's first subset load fails, the live query is put into a fatal error state. A later successful load of the same subset (e.g. collection.utils.refetch(), or an invalidation) fetches the rows into the source collection, but the live query stays error with no rows. The only way back is to recreate the live query.

Tested with @tanstack/db 0.15.2, @tanstack/query-db-collection 1.4.8, @tanstack/query-core 5.104.5 (no related commits on main since 0.15.2).

To Reproduce

Drop-in vitest test:

import { expect, test } from "vitest";
import { createCollection, createLiveQueryCollection, eq } from "@tanstack/db";
import { QueryClient } from "@tanstack/query-core";
import { parseLoadSubsetOptions, queryCollectionOptions } from "@tanstack/query-db-collection";

const tick = () => new Promise((resolve) => setTimeout(resolve, 0));
const settle = async () => {
  for (let i = 0; i < 30; i++) await tick();
};

test("a live query whose first load failed shows the rows once a later load of that subset succeeds", async () => {
  const queryClient = new QueryClient({ defaultOptions: { queries: { retry: false, gcTime: 60_000 } } });
  let failing = true;
  const reads = [];
  const collection = createCollection(queryCollectionOptions({
    id: "gap-2",
    queryClient,
    queryKey: ["gap-2"],
    syncMode: "on-demand",
    getKey: (row) => row.key,
    queryFn: (ctx) => {
      const { filters } = parseLoadSubsetOptions(ctx.meta?.loadSubsetOptions);
      const seq = filters.find((filter) => filter.field.join(".") === "seq")?.value;
      reads.push(seq);
      if (failing) return Promise.reject(new Error("read failed"));
      return Promise.resolve([{ key: seq + "-1", seq }, { key: seq + "-2", seq }]);
    },
  }));
  const live = createLiveQueryCollection((q) => q.from({ r: collection }).where(({ r }) => eq(r.seq, "a")));

  await expect(live.preload()).rejects.toThrow("read failed");
  await settle();
  expect(reads).toEqual(["a"]);

  failing = false;
  await collection.utils.refetch();
  await settle();

  expect(reads).toEqual(["a", "a"]);
  expect(live.toArray.map((row) => row.seq)).toEqual(["a", "a"]);
});

Result: the second read succeeds (reads is ["a", "a"], the source query is success), but live.toArray is [] and live.status is "error".

Expected behavior

Once a later load of the subset succeeds, the live query leaves the error state and shows the rows, the way a query observer recovers after a successful refetch. (Whether recovery should be automatic or an explicit clearError/retry is your call; today neither path recovers the live query.)

Additional context

  • The first-load failure is classified fatal (db/src/query/live/collection-subscriber.ts:108-116 while status is loading), goes through collection-config-builder.ts:482-499 to transitionToError (:1218-1234), and fatalQueryError/isInErrorState are only cleared on a new sync run (:748-751), not by a successful source fetch.
  • Related: the "transitioning out of error state needs more thought" review on #671, #672, #1260.
  • Why it matters: Retry after a failed first load does nothing for the user unless the app tears the live query down and rebuilds it; we currently do that by resubscribing.
  • Happy to send a PR (with oracle coverage) if you'd like to assign it; equally fine if you'd rather handle it yourselves. The test is free to adopt.

The repro was written with an AI coding assistant and checked by hand against the installed sources.

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从这里开始

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  3. Fork 仓库，在一个分支上完成修改。
  4. 提交 Pull Request，并在描述里引用这个 Issue 编号。

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