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Why, when I search for a community my instance is not yet aware of, does it sometimes not bring back any posts in that community? This community is in example of that.

Most new additions will redline the CPU but then come back with a populated page for the community. Sometimes that doesn't happen and no amount of purging and retrying will cause it to.

I'm currently unable to subscribe to anything on Beehaw. I just get subscription pending and there is no content sent my way. Statistically they're also more likely to encounter no. 1 above. Can I fix this?

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[-] meldrik@lemmy.wtf 1 points 1 year ago

Your instance won’t start fetching any posts from a community, until someone from your instance subscribes to it. Then it will fetch the last 25 posts (I think) and then all future posts.

[-] adam@doomscroll.n8e.dev 2 points 1 year ago

I don't think that's true. Searching for a community typically brings back a fully populated page. None of the posts have comments or up/down votes, but they're all there.

I'd say in maybe 20% of cases though it comes back empty.

[-] meldrik@lemmy.wtf 1 points 1 year ago
[-] adam@doomscroll.n8e.dev 2 points 1 year ago

If you search for a community first time, 20 posts are fetched initially. Only if a least one user on your instance subscribes to the remote community, will the community send updates to your instance.

The point is I'm not getting 20 posts. I get nothing. I can subscribe and then get posts from that point forward as I'd expect.

[-] meldrik@lemmy.wtf 1 points 1 year ago

You can try and fetch an earlier post manually and see if that works.

[-] adam@doomscroll.n8e.dev 2 points 1 year ago

Yeah, sadly not working on communities that exhibit this issue. This one (!lemmy_admin) is one. I have two posts showing on my instance, this one and another that seems to have been updated recently.

If I search for https://lemmy.ml/post/6417868 using my instances search I get no results found. The error in the logs is

2023-11-10T10:20:48.585813Z  WARN Error encountered while processing the incoming HTTP request: lemmy_server::root_span_builder: couldnt_find_object: data did not match any variant of untagged enum SearchableKinds
   0: lemmy_apub::fetcher::search::search_query_to_object_id
             at crates/apub/src/fetcher/search.rs:19
   1: lemmy_apub::api::resolve_object::resolve_object
           with data=Query(ResolveObject { q: "https://lemmy.ml/post/6417868", auth: Some(Sensitive) })
             at crates/apub/src/api/resolve_object.rs:19
   2: lemmy_server::root_span_builder::HTTP request
           with http.method=GET http.scheme="http" http.host=doomscroll.n8e.dev http.target=/api/v3/resolve_object otel.kind="server" request_id=4ef4bf5c-228f-4268-b798-3561a79d9a2f http.status_code=400 otel.status_code="OK"
             at src/root_span_builder.rs:16

LemmyError { message: Some("couldnt_find_object"), inner: data did not match any variant of untagged enum SearchableKinds, context: SpanTrace [{ target: "lemmy_apub::fetcher::search", name: "search_query_to_object_id", file: "crates/apub/src/fetcher/search.rs", line: 19 }, { target: "lemmy_apub::api::resolve_object", name: "resolve_object", fields: "\u{1b}[3mdata\u{1b}[0m\u{1b}[2m=\u{1b}[0mQuery(ResolveObject { q: \"https://lemmy.ml/post/6417868\", auth: Some(Sensitive) })", file: "crates/apub/src/api/resolve_object.rs", line: 19 }, { target: "lemmy_server::root_span_builder", name: "HTTP request", fields: "\u{1b}[3mhttp.method\u{1b}[0m\u{1b}[2m=\u{1b}[0mGET \u{1b}[3mhttp.scheme\u{1b}[0m\u{1b}[2m=\u{1b}[0m\"http\" \u{1b}[3mhttp.host\u{1b}[0m\u{1b}[2m=\u{1b}[0mdoomscroll.n8e.dev \u{1b}[3mhttp.target\u{1b}[0m\u{1b}[2m=\u{1b}[0m/api/v3/resolve_object \u{1b}[3motel.kind\u{1b}[0m\u{1b}[2m=\u{1b}[0m\"server\" \u{1b}[3mrequest_id\u{1b}[0m\u{1b}[2m=\u{1b}[0m4ef4bf5c-228f-4268-b798-3561a79d9a2f \u{1b}[3mhttp.status_code\u{1b}[0m\u{1b}[2m=\u{1b}[0m400 \u{1b}[3motel.status_code\u{1b}[0m\u{1b}[2m=\u{1b}[0m\"OK\"", file: "src/root_span_builder.rs", line: 16 }] }

but I don't know if that's helpful.

this post was submitted on 07 Nov 2023
9 points (100.0% liked)

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