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author | Olivier Wilkinson (reivilibre) <olivier@librepush.net> | 2019-08-20 15:35:07 +0100 |
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committer | Olivier Wilkinson (reivilibre) <olivier@librepush.net> | 2019-08-20 15:35:20 +0100 |
commit | 6a19f7e1010e409752507fd29b23af5b795a0440 (patch) | |
tree | 2db23133206375c9d5e202fd78c1111c2c178e52 | |
parent | Update synapse/storage/stats.py (diff) | |
download | synapse-6a19f7e1010e409752507fd29b23af5b795a0440.tar.xz |
Add room and user statistics documentation.
Signed-off-by: Olivier Wilkinson (reivilibre) <olivier@librepush.net>
-rw-r--r-- | docs/room_and_user_statistics.md | 146 |
1 files changed, 146 insertions, 0 deletions
diff --git a/docs/room_and_user_statistics.md b/docs/room_and_user_statistics.md new file mode 100644 index 0000000000..eb003f771a --- /dev/null +++ b/docs/room_and_user_statistics.md @@ -0,0 +1,146 @@ +Room and User Statistics +======================== + +Synapse maintains room and user statistics (as well as a cache of room state), +in various tables. + +These can be used for administrative purposes but are also used when generating +the public room directory. If these tables get stale or out of sync (possibly +after database corruption), you may wish to regenerate them. + + +# Synapse Administrator Documentation + +## Various SQL scripts that you may find useful + +### Delete stats, including historical stats + +```sql +DELETE FROM room_stats_current; +DELETE FROM room_stats_historical; +DELETE FROM user_stats_current; +DELETE FROM user_stats_historical; +``` + +### Regenerate stats (all subjects) + +```sql +BEGIN; + DELETE FROM stats_incremental_position; + INSERT INTO stats_incremental_position ( + state_delta_stream_id, + total_events_min_stream_ordering, + total_events_max_stream_ordering, + is_background_contract + ) VALUES (NULL, NULL, NULL, FALSE), (NULL, NULL, NULL, TRUE); +COMMIT; + +DELETE FROM room_stats_current; +DELETE FROM user_stats_current; +``` + +then follow the steps below for **'Regenerate stats (missing subjects only)'** + +### Regenerate stats (missing subjects only) + +```sql +-- Set up staging tables +-- we depend on current_state_events_membership because this is used +-- in our counting. +INSERT INTO background_updates (update_name, progress_json) VALUES + ('populate_stats_prepare', '{}', 'current_state_events_membership'); + +-- Run through each room and update stats +INSERT INTO background_updates (update_name, progress_json, depends_on) VALUES + ('populate_stats_process_rooms', '{}', 'populate_stats_prepare'); + +-- Run through each user and update stats. +INSERT INTO background_updates (update_name, progress_json, depends_on) VALUES + ('populate_stats_process_users', '{}', 'populate_stats_process_rooms'); + +-- Clean up staging tables +INSERT INTO background_updates (update_name, progress_json, depends_on) VALUES + ('populate_stats_cleanup', '{}', 'populate_stats_process_users'); +``` + +then **restart Synapse**. + + +# Synapse Developer Documentation + +## High-Level Concepts + +### Definitions + +* **subject**: Something we are tracking stats about – currently a room or user. +* **current row**: An entry for a subject in the appropriate current statistics + table. Each subject can have only one. +* **historical row**: An entry for a subject in the appropriate historical + statistics table. Each subject can have any number of these. + +### Overview + +Stats are maintained as time series. There are two kinds of column: + +* absolute columns – where the value is correct for the time given by `end_ts` + in the stats row. (Imagine a line graph for these values) +* per-slice columns – where the value corresponds to how many of the occurrences + occurred within the time slice given by `(end_ts − bucket_size)…end_ts` + or `start_ts…end_ts`. (Imagine a histogram for these values) + +Currently, only absolute columns are in use. + +Stats are maintained in two tables (for each type): current and historical. + +Current stats correspond to the present values. Each subject can only have one +entry. + +Historical stats correspond to values in the past. Subjects may have multiple +entries. + +## Concepts around the management of stats + +### current rows + +#### dirty current rows + +Current rows can be **dirty**, which means that they have changed since the +latest historical row for the same subject. +**Dirty** current rows possess an end timestamp, `end_ts`. + +#### old current rows and old collection + +When a (necessarily dirty) current row has an `end_ts` in the past, it is said +to be **old**. +Old current rows must be copied into a historical row, and cleared of their dirty +status, before further statistics can be tracked for that subject. +The process which does this is referred to as **old collection**. + +#### incomplete current rows + +There are also **incomplete** current rows, which are current rows that do not +contain a full count yet – this is because they are waiting for the stats +regenerator to give them an initial count. Incomplete current rows DO NOT contain +correct and up-to-date values. As such, *incomplete rows are not old-collected*. +Instead, old incomplete rows will be extended so they are no longer old. + +### historical rows + +Historical rows can always be considered to be valid for the time slice and +end time specified. (This, of course, assumes a lack of defects in the code +to track the statistics, and assumes integrity of the database). + +Even still, there are two considerations that we may need to bear in mind: + +* historical rows will not exist for every time slice – they will be omitted + if there were no changes. In this case, the following assumptions can be + made to interpolate/recreate missing rows: + - absolute fields have the same values as in the preceding row + - per-slice fields are zero (`0`) +* historical rows will not be retained forever – rows older than a configurable + time will be purged. + +#### purge + +The purging of historical rows is not yet implemented. + |