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feat: Add support for state_after
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@@ -1,11 +1,8 @@
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use std::{collections::BTreeSet, ops::ControlFlow};
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use std::collections::HashSet;
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use conduwuit::{
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Result, at, is_equal_to,
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matrix::{
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Event,
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pdu::{PduCount, PduEvent},
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},
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Result, at,
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matrix::{Event, pdu::PduEvent},
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utils::{
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BoolExt, IterStream, ReadyExt, TryFutureExtExt,
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stream::{BroadbandExt, TryIgnore},
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@@ -16,9 +13,7 @@ use conduwuit_service::{
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rooms::{lazy_loading::MemberSet, short::ShortStateHash},
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};
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use futures::{FutureExt, StreamExt};
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use itertools::Itertools;
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use ruma::{OwnedEventId, RoomId, UserId, events::StateEventType};
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use service::rooms::short::ShortEventId;
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use ruma::{OwnedEventId, UserId, events::StateEventType};
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use tracing::trace;
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use crate::client::TimelinePdus;
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@@ -39,13 +34,19 @@ pub(super) async fn build_state_initial(
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services: &Services,
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sender_user: &UserId,
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timeline_start_shortstatehash: ShortStateHash,
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timeline_end_shortstatehash: ShortStateHash,
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use_state_after: bool,
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lazily_loaded_members: Option<&MemberSet>,
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) -> Result<Vec<PduEvent>> {
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// load the keys and event IDs of the state events at the start of the timeline
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let (shortstatekeys, event_ids): (Vec<_>, Vec<_>) = services
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.rooms
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.state_accessor
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.state_full_ids(timeline_start_shortstatehash)
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.state_full_ids(if use_state_after {
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timeline_end_shortstatehash
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} else {
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timeline_start_shortstatehash
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})
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.unzip()
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.await;
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@@ -92,82 +93,31 @@ pub(super) async fn build_state_initial(
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pub(super) async fn build_state_incremental<'a>(
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services: &Services,
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sender_user: &'a UserId,
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room_id: &RoomId,
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last_sync_end_count: PduCount,
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last_sync_end_shortstatehash: ShortStateHash,
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timeline_start_shortstatehash: ShortStateHash,
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timeline_end_shortstatehash: ShortStateHash,
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timeline: &TimelinePdus,
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use_state_after: bool,
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lazily_loaded_members: Option<&'a MemberSet>,
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) -> Result<Vec<PduEvent>> {
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/*
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NB: a limited sync is one where `timeline.limited == true`. Synapse calls this a "gappy" sync internally.
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// NB: a limited sync is one where `timeline.limited == true`. Synapse calls
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// this a "gappy" sync internally.
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The algorithm implemented in this function is, currently, quite different from the algorithm vaguely described
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by the Matrix specification. This is because the specification's description of the `state` property does not accurately
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reflect how Synapse behaves, and therefore how client SDKs behave. Notable differences include:
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1. We do not compute the delta using the naive approach of "every state event from the end of the last sync
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up to the start of this sync's timeline". see below for details.
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2. If lazy-loading is enabled, we include lazily-loaded membership events. The specific users to include are determined
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elsewhere and supplied to this function in the `lazily_loaded_members` parameter.
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*/
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let mut state_event_ids: HashSet<OwnedEventId> = HashSet::new();
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/*
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the `state` property of an incremental sync which isn't limited are _usually_ empty.
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(note: the specification says that the `state` property is _always_ empty for limited syncs, which is incorrect.)
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however, if an event in the timeline (`timeline.pdus`) merges a split in the room's DAG (i.e. has multiple `prev_events`),
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the state at the _end_ of the timeline may include state events which were merged in and don't exist in the state
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at the _start_ of the timeline. because this is uncommon, we check here to see if any events in the timeline
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merged a split in the DAG.
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trace!(%timeline.limited, "computing state for incremental sync");
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see: https://github.com/element-hq/synapse/issues/16941
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*/
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// Fetch lazy-loaded membership events if lazy-loading is enabled
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if let Some(lazily_loaded_members) = lazily_loaded_members
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&& !lazily_loaded_members.is_empty()
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{
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trace!("including lazy membership events for members: {:?}", lazily_loaded_members);
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let timeline_is_linear = timeline.pdus.is_empty() || {
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let last_pdu_of_last_sync = services
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services
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.rooms
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.timeline
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.pdus_rev(room_id, Some(last_sync_end_count.saturating_add(1)))
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.boxed()
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.next()
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.await
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.transpose()
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.expect("last sync should have had some PDUs")
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.map(at!(1));
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// make sure the prev_events of each pdu in the timeline refer only to the
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// previous pdu
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timeline
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.pdus
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.iter()
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.try_fold(last_pdu_of_last_sync.map(|pdu| pdu.event_id), |prev_event_id, (_, pdu)| {
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if let Ok(pdu_prev_event_id) = pdu.prev_events.iter().exactly_one() {
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if prev_event_id
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.as_ref()
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.is_none_or(is_equal_to!(pdu_prev_event_id))
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{
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return ControlFlow::Continue(Some(pdu_prev_event_id.to_owned()));
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}
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}
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trace!(
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"pdu {:?} has split prev_events (expected {:?}): {:?}",
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pdu.event_id, prev_event_id, pdu.prev_events
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);
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ControlFlow::Break(())
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})
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.is_continue()
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};
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if timeline_is_linear && !timeline.limited {
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// if there are no splits in the DAG and the timeline isn't limited, then
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// `state` will always be empty unless lazy loading is enabled.
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if let Some(lazily_loaded_members) = lazily_loaded_members {
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if !timeline.pdus.is_empty() {
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// lazy loading is enabled, so we return the membership events which were
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// requested by the caller.
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let lazy_membership_events: Vec<_> = lazily_loaded_members
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.short
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.multi_get_eventid_from_short::<'_, OwnedEventId, _>(
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lazily_loaded_members
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.iter()
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.stream()
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.broad_filter_map(|user_id| async move {
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@@ -178,71 +128,24 @@ pub(super) async fn build_state_incremental<'a>(
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services
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.rooms
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.state_accessor
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.state_get(
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.state_get_shortid(
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timeline_start_shortstatehash,
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&StateEventType::RoomMember,
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user_id.as_str(),
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)
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.ok()
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.await
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})
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.collect()
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.await;
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if !lazy_membership_events.is_empty() {
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trace!(
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"syncing lazy membership events for members: {:?}",
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lazy_membership_events
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.iter()
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.map(|pdu| pdu.state_key().unwrap())
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.collect::<Vec<_>>()
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);
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}
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return Ok(lazy_membership_events);
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}
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}
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// lazy loading is disabled, `state` is empty.
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return Ok(vec![]);
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}),
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)
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.ignore_err()
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.ready_for_each(|event_id| {
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state_event_ids.insert(event_id);
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})
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.await;
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}
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/*
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at this point, either the timeline is `limited` or the DAG has a split in it. this necessitates
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computing the incremental state (which may be empty).
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NOTE: this code path does not use the `lazy_membership_events` parameter. any changes to membership will be included
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in the incremental state. therefore, the incremental state may include "redundant" membership events,
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which we do not filter out because A. the spec forbids lazy-load filtering if the timeline is `limited`,
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and B. DAG splits which require sending extra membership state events are (probably) uncommon enough that
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the performance penalty is acceptable.
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*/
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trace!(%timeline_is_linear, %timeline.limited, "computing state for incremental sync");
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// fetch the shorteventids of state events in the timeline
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let state_events_in_timeline: BTreeSet<ShortEventId> = services
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.rooms
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.short
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.multi_get_or_create_shorteventid(timeline.pdus.iter().filter_map(|(_, pdu)| {
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if pdu.state_key().is_some() {
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Some(pdu.event_id.as_ref())
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} else {
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None
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}
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}))
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.collect()
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.await;
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trace!("{} state events in timeline", state_events_in_timeline.len());
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/*
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fetch the state events which were added since the last sync.
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specifically we fetch the difference between the state at the last sync and the state at the _end_
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of the timeline, and then we filter out state events in the timeline itself using the shorteventids we fetched.
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this is necessary to account for splits in the DAG, as explained above.
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*/
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let state_diff = services
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// Fetch the state events added since the last sync.
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services
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.rooms
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.short
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.multi_get_eventid_from_short::<'_, OwnedEventId, _>(
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@@ -252,18 +155,29 @@ pub(super) async fn build_state_incremental<'a>(
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.state_added((last_sync_end_shortstatehash, timeline_end_shortstatehash))
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.await?
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.stream()
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.ready_filter_map(|(_, shorteventid)| {
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if state_events_in_timeline.contains(&shorteventid) {
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None
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} else {
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Some(shorteventid)
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}
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}),
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.map(at!(1)),
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)
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.ignore_err();
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.ignore_err()
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.ready_for_each(|event_id| {
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state_event_ids.insert(event_id);
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})
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.await;
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// finally, fetch the PDU contents and collect them into a vec
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let state_diff_pdus = state_diff
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if !use_state_after {
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// If state_after isn't enabled, filter out state events which also exist
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// in the timeline. If splits exist in the DAG, this may not be exactly the same
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// thing as the state diff ending at the start of the timeline, but Synapse
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// also does this and it's technically more useful behavior anyway.
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// See: https://github.com/element-hq/synapse/issues/16941
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for (_, pdu) in &timeline.pdus {
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state_event_ids.remove(pdu.event_id());
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}
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}
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// Finally, fetch the PDU contents and collect them into a vec
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let state_diff_pdus = state_event_ids
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.stream()
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.broad_filter_map(|event_id| async move {
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services
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.rooms
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