Remove functionality associated with unused historical stats tables (#9721)

Fixes #9602

2 files changed, 1 insertions, 291 deletions

diff --git a/synapse/storage/databases/main/purge_events.py b/synapse/storage/databases/main/purge_events.py
index 7fb7780d0f..ec6b1eb5d4 100644
--- a/synapse/storage/databases/main/purge_events.py
+++ b/synapse/storage/databases/main/purge_events.py
@@ -392,7 +392,6 @@ class PurgeEventsStore(StateGroupWorkerStore, CacheInvalidationWorkerStore):
             "room_memberships",
             "room_stats_state",
             "room_stats_current",
-            "room_stats_historical",
             "room_stats_earliest_token",
             "rooms",
             "stream_ordering_to_exterm",
diff --git a/synapse/storage/databases/main/stats.py b/synapse/storage/databases/main/stats.py
index 82a1833509..b10bee6daf 100644
--- a/synapse/storage/databases/main/stats.py
+++ b/synapse/storage/databases/main/stats.py
@@ -26,7 +26,6 @@ from synapse.api.constants import EventTypes, Membership
 from synapse.api.errors import StoreError
 from synapse.storage.database import DatabasePool
 from synapse.storage.databases.main.state_deltas import StateDeltasStore
-from synapse.storage.engines import PostgresEngine
 from synapse.types import JsonDict
 from synapse.util.caches.descriptors import cached
 
@@ -49,14 +48,6 @@ ABSOLUTE_STATS_FIELDS = {
     "user": ("joined_rooms",),
 }
 
-# these fields are per-timeslice and so should be reset to 0 upon a new slice
-# You can draw these stats on a histogram.
-# Example: number of events sent locally during a time slice
-PER_SLICE_FIELDS = {
-    "room": ("total_events", "total_event_bytes"),
-    "user": ("invites_sent", "rooms_created", "total_events", "total_event_bytes"),
-}
-
 TYPE_TO_TABLE = {"room": ("room_stats", "room_id"), "user": ("user_stats", "user_id")}
 
 # these are the tables (& ID columns) which contain our actual subjects
@@ -106,7 +97,6 @@ class StatsStore(StateDeltasStore):
         self.server_name = hs.hostname
         self.clock = self.hs.get_clock()
         self.stats_enabled = hs.config.stats_enabled
-        self.stats_bucket_size = hs.config.stats_bucket_size
 
         self.stats_delta_processing_lock = DeferredLock()
 
@@ -122,22 +112,6 @@ class StatsStore(StateDeltasStore):
         self.db_pool.updates.register_noop_background_update("populate_stats_cleanup")
         self.db_pool.updates.register_noop_background_update("populate_stats_prepare")
 
-    def quantise_stats_time(self, ts):
-        """
-        Quantises a timestamp to be a multiple of the bucket size.
-
-        Args:
-            ts (int): the timestamp to quantise, in milliseconds since the Unix
-                Epoch
-
-        Returns:
-            int: a timestamp which
-              - is divisible by the bucket size;
-              - is no later than `ts`; and
-              - is the largest such timestamp.
-        """
-        return (ts // self.stats_bucket_size) * self.stats_bucket_size
-
     async def _populate_stats_process_users(self, progress, batch_size):
         """
         This is a background update which regenerates statistics for users.
@@ -288,56 +262,6 @@ class StatsStore(StateDeltasStore):
             desc="update_room_state",
         )
 
-    async def get_statistics_for_subject(
-        self, stats_type: str, stats_id: str, start: str, size: int = 100
-    ) -> List[dict]:
-        """
-        Get statistics for a given subject.
-
-        Args:
-            stats_type: The type of subject
-            stats_id: The ID of the subject (e.g. room_id or user_id)
-            start: Pagination start. Number of entries, not timestamp.
-            size: How many entries to return.
-
-        Returns:
-            A list of dicts, where the dict has the keys of
-            ABSOLUTE_STATS_FIELDS[stats_type],  and "bucket_size" and "end_ts".
-        """
-        return await self.db_pool.runInteraction(
-            "get_statistics_for_subject",
-            self._get_statistics_for_subject_txn,
-            stats_type,
-            stats_id,
-            start,
-            size,
-        )
-
-    def _get_statistics_for_subject_txn(
-        self, txn, stats_type, stats_id, start, size=100
-    ):
-        """
-        Transaction-bound version of L{get_statistics_for_subject}.
-        """
-
-        table, id_col = TYPE_TO_TABLE[stats_type]
-        selected_columns = list(
-            ABSOLUTE_STATS_FIELDS[stats_type] + PER_SLICE_FIELDS[stats_type]
-        )
-
-        slice_list = self.db_pool.simple_select_list_paginate_txn(
-            txn,
-            table + "_historical",
-            "end_ts",
-            start,
-            size,
-            retcols=selected_columns + ["bucket_size", "end_ts"],
-            keyvalues={id_col: stats_id},
-            order_direction="DESC",
-        )
-
-        return slice_list
-
     @cached()
     async def get_earliest_token_for_stats(
         self, stats_type: str, id: str
@@ -451,14 +375,10 @@ class StatsStore(StateDeltasStore):
 
         table, id_col = TYPE_TO_TABLE[stats_type]
 
-        quantised_ts = self.quantise_stats_time(int(ts))
-        end_ts = quantised_ts + self.stats_bucket_size
-
         # Lets be paranoid and check that all the given field names are known
         abs_field_names = ABSOLUTE_STATS_FIELDS[stats_type]
-        slice_field_names = PER_SLICE_FIELDS[stats_type]
         for field in chain(fields.keys(), absolute_field_overrides.keys()):
-            if field not in abs_field_names and field not in slice_field_names:
+            if field not in abs_field_names:
                 # guard against potential SQL injection dodginess
                 raise ValueError(
                     "%s is not a recognised field"
@@ -491,20 +411,6 @@ class StatsStore(StateDeltasStore):
             additive_relatives=deltas_of_absolute_fields,
         )
 
-        per_slice_additive_relatives = {
-            key: fields.get(key, 0) for key in slice_field_names
-        }
-        self._upsert_copy_from_table_with_additive_relatives_txn(
-            txn=txn,
-            into_table=table + "_historical",
-            keyvalues={id_col: stats_id},
-            extra_dst_insvalues={"bucket_size": self.stats_bucket_size},
-            extra_dst_keyvalues={"end_ts": end_ts},
-            additive_relatives=per_slice_additive_relatives,
-            src_table=table + "_current",
-            copy_columns=abs_field_names,
-        )
-
     def _upsert_with_additive_relatives_txn(
         self, txn, table, keyvalues, absolutes, additive_relatives
     ):
@@ -572,201 +478,6 @@ class StatsStore(StateDeltasStore):
                 current_row.update(absolutes)
                 self.db_pool.simple_update_one_txn(txn, table, keyvalues, current_row)
 
-    def _upsert_copy_from_table_with_additive_relatives_txn(
-        self,
-        txn,
-        into_table,
-        keyvalues,
-        extra_dst_keyvalues,
-        extra_dst_insvalues,
-        additive_relatives,
-        src_table,
-        copy_columns,
-    ):
-        """Updates the historic stats table with latest updates.
-
-        This involves copying "absolute" fields from the `_current` table, and
-        adding relative fields to any existing values.
-
-        Args:
-             txn: Transaction
-             into_table (str): The destination table to UPSERT the row into
-             keyvalues (dict[str, any]): Row-identifying key values
-             extra_dst_keyvalues (dict[str, any]): Additional keyvalues
-                for `into_table`.
-             extra_dst_insvalues (dict[str, any]): Additional values to insert
-                on new row creation for `into_table`.
-             additive_relatives (dict[str, any]): Fields that will be added onto
-                if existing row present. (Must be disjoint from copy_columns.)
-             src_table (str): The source table to copy from
-             copy_columns (iterable[str]): The list of columns to copy
-        """
-        if self.database_engine.can_native_upsert:
-            ins_columns = chain(
-                keyvalues,
-                copy_columns,
-                additive_relatives,
-                extra_dst_keyvalues,
-                extra_dst_insvalues,
-            )
-            sel_exprs = chain(
-                keyvalues,
-                copy_columns,
-                (
-                    "?"
-                    for _ in chain(
-                        additive_relatives, extra_dst_keyvalues, extra_dst_insvalues
-                    )
-                ),
-            )
-            keyvalues_where = ("%s = ?" % f for f in keyvalues)
-
-            sets_cc = ("%s = EXCLUDED.%s" % (f, f) for f in copy_columns)
-            sets_ar = (
-                "%s = EXCLUDED.%s + %s.%s" % (f, f, into_table, f)
-                for f in additive_relatives
-            )
-
-            sql = """
-                INSERT INTO %(into_table)s (%(ins_columns)s)
-                SELECT %(sel_exprs)s
-                FROM %(src_table)s
-                WHERE %(keyvalues_where)s
-                ON CONFLICT (%(keyvalues)s)
-                DO UPDATE SET %(sets)s
-            """ % {
-                "into_table": into_table,
-                "ins_columns": ", ".join(ins_columns),
-                "sel_exprs": ", ".join(sel_exprs),
-                "keyvalues_where": " AND ".join(keyvalues_where),
-                "src_table": src_table,
-                "keyvalues": ", ".join(
-                    chain(keyvalues.keys(), extra_dst_keyvalues.keys())
-                ),
-                "sets": ", ".join(chain(sets_cc, sets_ar)),
-            }
-
-            qargs = list(
-                chain(
-                    additive_relatives.values(),
-                    extra_dst_keyvalues.values(),
-                    extra_dst_insvalues.values(),
-                    keyvalues.values(),
-                )
-            )
-            txn.execute(sql, qargs)
-        else:
-            self.database_engine.lock_table(txn, into_table)
-            src_row = self.db_pool.simple_select_one_txn(
-                txn, src_table, keyvalues, copy_columns
-            )
-            all_dest_keyvalues = {**keyvalues, **extra_dst_keyvalues}
-            dest_current_row = self.db_pool.simple_select_one_txn(
-                txn,
-                into_table,
-                keyvalues=all_dest_keyvalues,
-                retcols=list(chain(additive_relatives.keys(), copy_columns)),
-                allow_none=True,
-            )
-
-            if dest_current_row is None:
-                merged_dict = {
-                    **keyvalues,
-                    **extra_dst_keyvalues,
-                    **extra_dst_insvalues,
-                    **src_row,
-                    **additive_relatives,
-                }
-                self.db_pool.simple_insert_txn(txn, into_table, merged_dict)
-            else:
-                for (key, val) in additive_relatives.items():
-                    src_row[key] = dest_current_row[key] + val
-                self.db_pool.simple_update_txn(
-                    txn, into_table, all_dest_keyvalues, src_row
-                )
-
-    async def get_changes_room_total_events_and_bytes(
-        self, min_pos: int, max_pos: int
-    ) -> Tuple[Dict[str, Dict[str, int]], Dict[str, Dict[str, int]]]:
-        """Fetches the counts of events in the given range of stream IDs.
-
-        Args:
-            min_pos
-            max_pos
-
-        Returns:
-            Mapping of room ID to field changes.
-        """
-
-        return await self.db_pool.runInteraction(
-            "stats_incremental_total_events_and_bytes",
-            self.get_changes_room_total_events_and_bytes_txn,
-            min_pos,
-            max_pos,
-        )
-
-    def get_changes_room_total_events_and_bytes_txn(
-        self, txn, low_pos: int, high_pos: int
-    ) -> Tuple[Dict[str, Dict[str, int]], Dict[str, Dict[str, int]]]:
-        """Gets the total_events and total_event_bytes counts for rooms and
-        senders, in a range of stream_orderings (including backfilled events).
-
-        Args:
-            txn
-            low_pos: Low stream ordering
-            high_pos: High stream ordering
-
-        Returns:
-            The room and user deltas for total_events/total_event_bytes in the
-            format of `stats_id` -> fields
-        """
-
-        if low_pos >= high_pos:
-            # nothing to do here.
-            return {}, {}
-
-        if isinstance(self.database_engine, PostgresEngine):
-            new_bytes_expression = "OCTET_LENGTH(json)"
-        else:
-            new_bytes_expression = "LENGTH(CAST(json AS BLOB))"
-
-        sql = """
-            SELECT events.room_id, COUNT(*) AS new_events, SUM(%s) AS new_bytes
-            FROM events INNER JOIN event_json USING (event_id)
-            WHERE (? < stream_ordering AND stream_ordering <= ?)
-                OR (? <= stream_ordering AND stream_ordering <= ?)
-            GROUP BY events.room_id
-        """ % (
-            new_bytes_expression,
-        )
-
-        txn.execute(sql, (low_pos, high_pos, -high_pos, -low_pos))
-
-        room_deltas = {
-            room_id: {"total_events": new_events, "total_event_bytes": new_bytes}
-            for room_id, new_events, new_bytes in txn
-        }
-
-        sql = """
-            SELECT events.sender, COUNT(*) AS new_events, SUM(%s) AS new_bytes
-            FROM events INNER JOIN event_json USING (event_id)
-            WHERE (? < stream_ordering AND stream_ordering <= ?)
-                OR (? <= stream_ordering AND stream_ordering <= ?)
-            GROUP BY events.sender
-        """ % (
-            new_bytes_expression,
-        )
-
-        txn.execute(sql, (low_pos, high_pos, -high_pos, -low_pos))
-
-        user_deltas = {
-            user_id: {"total_events": new_events, "total_event_bytes": new_bytes}
-            for user_id, new_events, new_bytes in txn
-            if self.hs.is_mine_id(user_id)
-        }
-
-        return room_deltas, user_deltas
-
     async def _calculate_and_set_initial_state_for_room(
         self, room_id: str
     ) -> Tuple[dict, dict, int]: