Move DB pool and helper functions into dedicated Database class

1 files changed, 6 insertions, 1462 deletions

diff --git a/synapse/storage/_base.py b/synapse/storage/_base.py
index 9205e550bb..fd5bb3e1de 100644
--- a/synapse/storage/_base.py
+++ b/synapse/storage/_base.py
@@ -16,1304 +16,28 @@
 # limitations under the License.
 import logging
 import random
-import sys
-import time
-from typing import Iterable, Tuple
 
-from six import PY2, iteritems, iterkeys, itervalues
-from six.moves import builtins, intern, range
+from six import PY2
+from six.moves import builtins
 
 from canonicaljson import json
-from prometheus_client import Histogram
 
-from twisted.internet import defer
-
-from synapse.api.errors import StoreError
-from synapse.logging.context import LoggingContext, make_deferred_yieldable
-from synapse.metrics.background_process_metrics import run_as_background_process
-from synapse.storage.engines import PostgresEngine, Sqlite3Engine
+from synapse.storage.database import LoggingTransaction  # noqa: F401
+from synapse.storage.database import make_in_list_sql_clause  # noqa: F401
+from synapse.storage.database import Database
 from synapse.types import get_domain_from_id
-from synapse.util.stringutils import exception_to_unicode
-
-# import a function which will return a monotonic time, in seconds
-try:
-    # on python 3, use time.monotonic, since time.clock can go backwards
-    from time import monotonic as monotonic_time
-except ImportError:
-    # ... but python 2 doesn't have it
-    from time import clock as monotonic_time
 
 logger = logging.getLogger(__name__)
 
-try:
-    MAX_TXN_ID = sys.maxint - 1
-except AttributeError:
-    # python 3 does not have a maximum int value
-    MAX_TXN_ID = 2 ** 63 - 1
-
-sql_logger = logging.getLogger("synapse.storage.SQL")
-transaction_logger = logging.getLogger("synapse.storage.txn")
-perf_logger = logging.getLogger("synapse.storage.TIME")
-
-sql_scheduling_timer = Histogram("synapse_storage_schedule_time", "sec")
-
-sql_query_timer = Histogram("synapse_storage_query_time", "sec", ["verb"])
-sql_txn_timer = Histogram("synapse_storage_transaction_time", "sec", ["desc"])
-
-
-# Unique indexes which have been added in background updates. Maps from table name
-# to the name of the background update which added the unique index to that table.
-#
-# This is used by the upsert logic to figure out which tables are safe to do a proper
-# UPSERT on: until the relevant background update has completed, we
-# have to emulate an upsert by locking the table.
-#
-UNIQUE_INDEX_BACKGROUND_UPDATES = {
-    "user_ips": "user_ips_device_unique_index",
-    "device_lists_remote_extremeties": "device_lists_remote_extremeties_unique_idx",
-    "device_lists_remote_cache": "device_lists_remote_cache_unique_idx",
-    "event_search": "event_search_event_id_idx",
-}
-
-
-class LoggingTransaction(object):
-    """An object that almost-transparently proxies for the 'txn' object
-    passed to the constructor. Adds logging and metrics to the .execute()
-    method.
-
-    Args:
-        txn: The database transcation object to wrap.
-        name (str): The name of this transactions for logging.
-        database_engine (Sqlite3Engine|PostgresEngine)
-        after_callbacks(list|None): A list that callbacks will be appended to
-            that have been added by `call_after` which should be run on
-            successful completion of the transaction. None indicates that no
-            callbacks should be allowed to be scheduled to run.
-        exception_callbacks(list|None): A list that callbacks will be appended
-            to that have been added by `call_on_exception` which should be run
-            if transaction ends with an error. None indicates that no callbacks
-            should be allowed to be scheduled to run.
-    """
-
-    __slots__ = [
-        "txn",
-        "name",
-        "database_engine",
-        "after_callbacks",
-        "exception_callbacks",
-    ]
-
-    def __init__(
-        self, txn, name, database_engine, after_callbacks=None, exception_callbacks=None
-    ):
-        object.__setattr__(self, "txn", txn)
-        object.__setattr__(self, "name", name)
-        object.__setattr__(self, "database_engine", database_engine)
-        object.__setattr__(self, "after_callbacks", after_callbacks)
-        object.__setattr__(self, "exception_callbacks", exception_callbacks)
-
-    def call_after(self, callback, *args, **kwargs):
-        """Call the given callback on the main twisted thread after the
-        transaction has finished. Used to invalidate the caches on the
-        correct thread.
-        """
-        self.after_callbacks.append((callback, args, kwargs))
-
-    def call_on_exception(self, callback, *args, **kwargs):
-        self.exception_callbacks.append((callback, args, kwargs))
-
-    def __getattr__(self, name):
-        return getattr(self.txn, name)
-
-    def __setattr__(self, name, value):
-        setattr(self.txn, name, value)
-
-    def __iter__(self):
-        return self.txn.__iter__()
-
-    def execute_batch(self, sql, args):
-        if isinstance(self.database_engine, PostgresEngine):
-            from psycopg2.extras import execute_batch
-
-            self._do_execute(lambda *x: execute_batch(self.txn, *x), sql, args)
-        else:
-            for val in args:
-                self.execute(sql, val)
-
-    def execute(self, sql, *args):
-        self._do_execute(self.txn.execute, sql, *args)
-
-    def executemany(self, sql, *args):
-        self._do_execute(self.txn.executemany, sql, *args)
-
-    def _make_sql_one_line(self, sql):
-        "Strip newlines out of SQL so that the loggers in the DB are on one line"
-        return " ".join(l.strip() for l in sql.splitlines() if l.strip())
-
-    def _do_execute(self, func, sql, *args):
-        sql = self._make_sql_one_line(sql)
-
-        # TODO(paul): Maybe use 'info' and 'debug' for values?
-        sql_logger.debug("[SQL] {%s} %s", self.name, sql)
-
-        sql = self.database_engine.convert_param_style(sql)
-        if args:
-            try:
-                sql_logger.debug("[SQL values] {%s} %r", self.name, args[0])
-            except Exception:
-                # Don't let logging failures stop SQL from working
-                pass
-
-        start = time.time()
-
-        try:
-            return func(sql, *args)
-        except Exception as e:
-            logger.debug("[SQL FAIL] {%s} %s", self.name, e)
-            raise
-        finally:
-            secs = time.time() - start
-            sql_logger.debug("[SQL time] {%s} %f sec", self.name, secs)
-            sql_query_timer.labels(sql.split()[0]).observe(secs)
-
-
-class PerformanceCounters(object):
-    def __init__(self):
-        self.current_counters = {}
-        self.previous_counters = {}
-
-    def update(self, key, duration_secs):
-        count, cum_time = self.current_counters.get(key, (0, 0))
-        count += 1
-        cum_time += duration_secs
-        self.current_counters[key] = (count, cum_time)
-
-    def interval(self, interval_duration_secs, limit=3):
-        counters = []
-        for name, (count, cum_time) in iteritems(self.current_counters):
-            prev_count, prev_time = self.previous_counters.get(name, (0, 0))
-            counters.append(
-                (
-                    (cum_time - prev_time) / interval_duration_secs,
-                    count - prev_count,
-                    name,
-                )
-            )
-
-        self.previous_counters = dict(self.current_counters)
-
-        counters.sort(reverse=True)
-
-        top_n_counters = ", ".join(
-            "%s(%d): %.3f%%" % (name, count, 100 * ratio)
-            for ratio, count, name in counters[:limit]
-        )
-
-        return top_n_counters
-
 
 class SQLBaseStore(object):
-    _TXN_ID = 0
-
     def __init__(self, db_conn, hs):
         self.hs = hs
         self._clock = hs.get_clock()
-        self._db_pool = hs.get_db_pool()
-
-        self._previous_txn_total_time = 0
-        self._current_txn_total_time = 0
-        self._previous_loop_ts = 0
-
-        # TODO(paul): These can eventually be removed once the metrics code
-        #   is running in mainline, and we have some nice monitoring frontends
-        #   to watch it
-        self._txn_perf_counters = PerformanceCounters()
-
         self.database_engine = hs.database_engine
-
-        # A set of tables that are not safe to use native upserts in.
-        self._unsafe_to_upsert_tables = set(UNIQUE_INDEX_BACKGROUND_UPDATES.keys())
-
-        # We add the user_directory_search table to the blacklist on SQLite
-        # because the existing search table does not have an index, making it
-        # unsafe to use native upserts.
-        if isinstance(self.database_engine, Sqlite3Engine):
-            self._unsafe_to_upsert_tables.add("user_directory_search")
-
-        if self.database_engine.can_native_upsert:
-            # Check ASAP (and then later, every 1s) to see if we have finished
-            # background updates of tables that aren't safe to update.
-            self._clock.call_later(
-                0.0,
-                run_as_background_process,
-                "upsert_safety_check",
-                self._check_safe_to_upsert,
-            )
-
+        self.db = Database(hs)
         self.rand = random.SystemRandom()
 
-    @defer.inlineCallbacks
-    def _check_safe_to_upsert(self):
-        """
-        Is it safe to use native UPSERT?
-
-        If there are background updates, we will need to wait, as they may be
-        the addition of indexes that set the UNIQUE constraint that we require.
-
-        If the background updates have not completed, wait 15 sec and check again.
-        """
-        updates = yield self.simple_select_list(
-            "background_updates",
-            keyvalues=None,
-            retcols=["update_name"],
-            desc="check_background_updates",
-        )
-        updates = [x["update_name"] for x in updates]
-
-        for table, update_name in UNIQUE_INDEX_BACKGROUND_UPDATES.items():
-            if update_name not in updates:
-                logger.debug("Now safe to upsert in %s", table)
-                self._unsafe_to_upsert_tables.discard(table)
-
-        # If there's any updates still running, reschedule to run.
-        if updates:
-            self._clock.call_later(
-                15.0,
-                run_as_background_process,
-                "upsert_safety_check",
-                self._check_safe_to_upsert,
-            )
-
-    def start_profiling(self):
-        self._previous_loop_ts = monotonic_time()
-
-        def loop():
-            curr = self._current_txn_total_time
-            prev = self._previous_txn_total_time
-            self._previous_txn_total_time = curr
-
-            time_now = monotonic_time()
-            time_then = self._previous_loop_ts
-            self._previous_loop_ts = time_now
-
-            duration = time_now - time_then
-            ratio = (curr - prev) / duration
-
-            top_three_counters = self._txn_perf_counters.interval(duration, limit=3)
-
-            perf_logger.info(
-                "Total database time: %.3f%% {%s}", ratio * 100, top_three_counters
-            )
-
-        self._clock.looping_call(loop, 10000)
-
-    def new_transaction(
-        self, conn, desc, after_callbacks, exception_callbacks, func, *args, **kwargs
-    ):
-        start = monotonic_time()
-        txn_id = self._TXN_ID
-
-        # We don't really need these to be unique, so lets stop it from
-        # growing really large.
-        self._TXN_ID = (self._TXN_ID + 1) % (MAX_TXN_ID)
-
-        name = "%s-%x" % (desc, txn_id)
-
-        transaction_logger.debug("[TXN START] {%s}", name)
-
-        try:
-            i = 0
-            N = 5
-            while True:
-                cursor = LoggingTransaction(
-                    conn.cursor(),
-                    name,
-                    self.database_engine,
-                    after_callbacks,
-                    exception_callbacks,
-                )
-                try:
-                    r = func(cursor, *args, **kwargs)
-                    conn.commit()
-                    return r
-                except self.database_engine.module.OperationalError as e:
-                    # This can happen if the database disappears mid
-                    # transaction.
-                    logger.warning(
-                        "[TXN OPERROR] {%s} %s %d/%d",
-                        name,
-                        exception_to_unicode(e),
-                        i,
-                        N,
-                    )
-                    if i < N:
-                        i += 1
-                        try:
-                            conn.rollback()
-                        except self.database_engine.module.Error as e1:
-                            logger.warning(
-                                "[TXN EROLL] {%s} %s", name, exception_to_unicode(e1)
-                            )
-                        continue
-                    raise
-                except self.database_engine.module.DatabaseError as e:
-                    if self.database_engine.is_deadlock(e):
-                        logger.warning("[TXN DEADLOCK] {%s} %d/%d", name, i, N)
-                        if i < N:
-                            i += 1
-                            try:
-                                conn.rollback()
-                            except self.database_engine.module.Error as e1:
-                                logger.warning(
-                                    "[TXN EROLL] {%s} %s",
-                                    name,
-                                    exception_to_unicode(e1),
-                                )
-                            continue
-                    raise
-                finally:
-                    # we're either about to retry with a new cursor, or we're about to
-                    # release the connection. Once we release the connection, it could
-                    # get used for another query, which might do a conn.rollback().
-                    #
-                    # In the latter case, even though that probably wouldn't affect the
-                    # results of this transaction, python's sqlite will reset all
-                    # statements on the connection [1], which will make our cursor
-                    # invalid [2].
-                    #
-                    # In any case, continuing to read rows after commit()ing seems
-                    # dubious from the PoV of ACID transactional semantics
-                    # (sqlite explicitly says that once you commit, you may see rows
-                    # from subsequent updates.)
-                    #
-                    # In psycopg2, cursors are essentially a client-side fabrication -
-                    # all the data is transferred to the client side when the statement
-                    # finishes executing - so in theory we could go on streaming results
-                    # from the cursor, but attempting to do so would make us
-                    # incompatible with sqlite, so let's make sure we're not doing that
-                    # by closing the cursor.
-                    #
-                    # (*named* cursors in psycopg2 are different and are proper server-
-                    # side things, but (a) we don't use them and (b) they are implicitly
-                    # closed by ending the transaction anyway.)
-                    #
-                    # In short, if we haven't finished with the cursor yet, that's a
-                    # problem waiting to bite us.
-                    #
-                    # TL;DR: we're done with the cursor, so we can close it.
-                    #
-                    # [1]: https://github.com/python/cpython/blob/v3.8.0/Modules/_sqlite/connection.c#L465
-                    # [2]: https://github.com/python/cpython/blob/v3.8.0/Modules/_sqlite/cursor.c#L236
-                    cursor.close()
-        except Exception as e:
-            logger.debug("[TXN FAIL] {%s} %s", name, e)
-            raise
-        finally:
-            end = monotonic_time()
-            duration = end - start
-
-            LoggingContext.current_context().add_database_transaction(duration)
-
-            transaction_logger.debug("[TXN END] {%s} %f sec", name, duration)
-
-            self._current_txn_total_time += duration
-            self._txn_perf_counters.update(desc, duration)
-            sql_txn_timer.labels(desc).observe(duration)
-
-    @defer.inlineCallbacks
-    def runInteraction(self, desc, func, *args, **kwargs):
-        """Starts a transaction on the database and runs a given function
-
-        Arguments:
-            desc (str): description of the transaction, for logging and metrics
-            func (func): callback function, which will be called with a
-                database transaction (twisted.enterprise.adbapi.Transaction) as
-                its first argument, followed by `args` and `kwargs`.
-
-            args (list): positional args to pass to `func`
-            kwargs (dict): named args to pass to `func`
-
-        Returns:
-            Deferred: The result of func
-        """
-        after_callbacks = []
-        exception_callbacks = []
-
-        if LoggingContext.current_context() == LoggingContext.sentinel:
-            logger.warning("Starting db txn '%s' from sentinel context", desc)
-
-        try:
-            result = yield self.runWithConnection(
-                self.new_transaction,
-                desc,
-                after_callbacks,
-                exception_callbacks,
-                func,
-                *args,
-                **kwargs
-            )
-
-            for after_callback, after_args, after_kwargs in after_callbacks:
-                after_callback(*after_args, **after_kwargs)
-        except:  # noqa: E722, as we reraise the exception this is fine.
-            for after_callback, after_args, after_kwargs in exception_callbacks:
-                after_callback(*after_args, **after_kwargs)
-            raise
-
-        return result
-
-    @defer.inlineCallbacks
-    def runWithConnection(self, func, *args, **kwargs):
-        """Wraps the .runWithConnection() method on the underlying db_pool.
-
-        Arguments:
-            func (func): callback function, which will be called with a
-                database connection (twisted.enterprise.adbapi.Connection) as
-                its first argument, followed by `args` and `kwargs`.
-            args (list): positional args to pass to `func`
-            kwargs (dict): named args to pass to `func`
-
-        Returns:
-            Deferred: The result of func
-        """
-        parent_context = LoggingContext.current_context()
-        if parent_context == LoggingContext.sentinel:
-            logger.warning(
-                "Starting db connection from sentinel context: metrics will be lost"
-            )
-            parent_context = None
-
-        start_time = monotonic_time()
-
-        def inner_func(conn, *args, **kwargs):
-            with LoggingContext("runWithConnection", parent_context) as context:
-                sched_duration_sec = monotonic_time() - start_time
-                sql_scheduling_timer.observe(sched_duration_sec)
-                context.add_database_scheduled(sched_duration_sec)
-
-                if self.database_engine.is_connection_closed(conn):
-                    logger.debug("Reconnecting closed database connection")
-                    conn.reconnect()
-
-                return func(conn, *args, **kwargs)
-
-        result = yield make_deferred_yieldable(
-            self._db_pool.runWithConnection(inner_func, *args, **kwargs)
-        )
-
-        return result
-
-    @staticmethod
-    def cursor_to_dict(cursor):
-        """Converts a SQL cursor into an list of dicts.
-
-        Args:
-            cursor : The DBAPI cursor which has executed a query.
-        Returns:
-            A list of dicts where the key is the column header.
-        """
-        col_headers = list(intern(str(column[0])) for column in cursor.description)
-        results = list(dict(zip(col_headers, row)) for row in cursor)
-        return results
-
-    def execute(self, desc, decoder, query, *args):
-        """Runs a single query for a result set.
-
-        Args:
-            decoder - The function which can resolve the cursor results to
-                something meaningful.
-            query - The query string to execute
-            *args - Query args.
-        Returns:
-            The result of decoder(results)
-        """
-
-        def interaction(txn):
-            txn.execute(query, args)
-            if decoder:
-                return decoder(txn)
-            else:
-                return txn.fetchall()
-
-        return self.runInteraction(desc, interaction)
-
-    # "Simple" SQL API methods that operate on a single table with no JOINs,
-    # no complex WHERE clauses, just a dict of values for columns.
-
-    @defer.inlineCallbacks
-    def simple_insert(self, table, values, or_ignore=False, desc="simple_insert"):
-        """Executes an INSERT query on the named table.
-
-        Args:
-            table : string giving the table name
-            values : dict of new column names and values for them
-            or_ignore : bool stating whether an exception should be raised
-                when a conflicting row already exists. If True, False will be
-                returned by the function instead
-            desc : string giving a description of the transaction
-
-        Returns:
-            bool: Whether the row was inserted or not. Only useful when
-            `or_ignore` is True
-        """
-        try:
-            yield self.runInteraction(desc, self.simple_insert_txn, table, values)
-        except self.database_engine.module.IntegrityError:
-            # We have to do or_ignore flag at this layer, since we can't reuse
-            # a cursor after we receive an error from the db.
-            if not or_ignore:
-                raise
-            return False
-        return True
-
-    @staticmethod
-    def simple_insert_txn(txn, table, values):
-        keys, vals = zip(*values.items())
-
-        sql = "INSERT INTO %s (%s) VALUES(%s)" % (
-            table,
-            ", ".join(k for k in keys),
-            ", ".join("?" for _ in keys),
-        )
-
-        txn.execute(sql, vals)
-
-    def simple_insert_many(self, table, values, desc):
-        return self.runInteraction(desc, self.simple_insert_many_txn, table, values)
-
-    @staticmethod
-    def simple_insert_many_txn(txn, table, values):
-        if not values:
-            return
-
-        # This is a *slight* abomination to get a list of tuples of key names
-        # and a list of tuples of value names.
-        #
-        # i.e. [{"a": 1, "b": 2}, {"c": 3, "d": 4}]
-        #         => [("a", "b",), ("c", "d",)] and [(1, 2,), (3, 4,)]
-        #
-        # The sort is to ensure that we don't rely on dictionary iteration
-        # order.
-        keys, vals = zip(
-            *[zip(*(sorted(i.items(), key=lambda kv: kv[0]))) for i in values if i]
-        )
-
-        for k in keys:
-            if k != keys[0]:
-                raise RuntimeError("All items must have the same keys")
-
-        sql = "INSERT INTO %s (%s) VALUES(%s)" % (
-            table,
-            ", ".join(k for k in keys[0]),
-            ", ".join("?" for _ in keys[0]),
-        )
-
-        txn.executemany(sql, vals)
-
-    @defer.inlineCallbacks
-    def simple_upsert(
-        self,
-        table,
-        keyvalues,
-        values,
-        insertion_values={},
-        desc="simple_upsert",
-        lock=True,
-    ):
-        """
-
-        `lock` should generally be set to True (the default), but can be set
-        to False if either of the following are true:
-
-        * there is a UNIQUE INDEX on the key columns. In this case a conflict
-          will cause an IntegrityError in which case this function will retry
-          the update.
-
-        * we somehow know that we are the only thread which will be updating
-          this table.
-
-        Args:
-            table (str): The table to upsert into
-            keyvalues (dict): The unique key columns and their new values
-            values (dict): The nonunique columns and their new values
-            insertion_values (dict): additional key/values to use only when
-                inserting
-            lock (bool): True to lock the table when doing the upsert.
-        Returns:
-            Deferred(None or bool): Native upserts always return None. Emulated
-            upserts return True if a new entry was created, False if an existing
-            one was updated.
-        """
-        attempts = 0
-        while True:
-            try:
-                result = yield self.runInteraction(
-                    desc,
-                    self.simple_upsert_txn,
-                    table,
-                    keyvalues,
-                    values,
-                    insertion_values,
-                    lock=lock,
-                )
-                return result
-            except self.database_engine.module.IntegrityError as e:
-                attempts += 1
-                if attempts >= 5:
-                    # don't retry forever, because things other than races
-                    # can cause IntegrityErrors
-                    raise
-
-                # presumably we raced with another transaction: let's retry.
-                logger.warning(
-                    "IntegrityError when upserting into %s; retrying: %s", table, e
-                )
-
-    def simple_upsert_txn(
-        self, txn, table, keyvalues, values, insertion_values={}, lock=True
-    ):
-        """
-        Pick the UPSERT method which works best on the platform. Either the
-        native one (Pg9.5+, recent SQLites), or fall back to an emulated method.
-
-        Args:
-            txn: The transaction to use.
-            table (str): The table to upsert into
-            keyvalues (dict): The unique key tables and their new values
-            values (dict): The nonunique columns and their new values
-            insertion_values (dict): additional key/values to use only when
-                inserting
-            lock (bool): True to lock the table when doing the upsert.
-        Returns:
-            None or bool: Native upserts always return None. Emulated
-            upserts return True if a new entry was created, False if an existing
-            one was updated.
-        """
-        if (
-            self.database_engine.can_native_upsert
-            and table not in self._unsafe_to_upsert_tables
-        ):
-            return self.simple_upsert_txn_native_upsert(
-                txn, table, keyvalues, values, insertion_values=insertion_values
-            )
-        else:
-            return self.simple_upsert_txn_emulated(
-                txn,
-                table,
-                keyvalues,
-                values,
-                insertion_values=insertion_values,
-                lock=lock,
-            )
-
-    def simple_upsert_txn_emulated(
-        self, txn, table, keyvalues, values, insertion_values={}, lock=True
-    ):
-        """
-        Args:
-            table (str): The table to upsert into
-            keyvalues (dict): The unique key tables and their new values
-            values (dict): The nonunique columns and their new values
-            insertion_values (dict): additional key/values to use only when
-                inserting
-            lock (bool): True to lock the table when doing the upsert.
-        Returns:
-            bool: Return True if a new entry was created, False if an existing
-            one was updated.
-        """
-        # We need to lock the table :(, unless we're *really* careful
-        if lock:
-            self.database_engine.lock_table(txn, table)
-
-        def _getwhere(key):
-            # If the value we're passing in is None (aka NULL), we need to use
-            # IS, not =, as NULL = NULL equals NULL (False).
-            if keyvalues[key] is None:
-                return "%s IS ?" % (key,)
-            else:
-                return "%s = ?" % (key,)
-
-        if not values:
-            # If `values` is empty, then all of the values we care about are in
-            # the unique key, so there is nothing to UPDATE. We can just do a
-            # SELECT instead to see if it exists.
-            sql = "SELECT 1 FROM %s WHERE %s" % (
-                table,
-                " AND ".join(_getwhere(k) for k in keyvalues),
-            )
-            sqlargs = list(keyvalues.values())
-            txn.execute(sql, sqlargs)
-            if txn.fetchall():
-                # We have an existing record.
-                return False
-        else:
-            # First try to update.
-            sql = "UPDATE %s SET %s WHERE %s" % (
-                table,
-                ", ".join("%s = ?" % (k,) for k in values),
-                " AND ".join(_getwhere(k) for k in keyvalues),
-            )
-            sqlargs = list(values.values()) + list(keyvalues.values())
-
-            txn.execute(sql, sqlargs)
-            if txn.rowcount > 0:
-                # successfully updated at least one row.
-                return False
-
-        # We didn't find any existing rows, so insert a new one
-        allvalues = {}
-        allvalues.update(keyvalues)
-        allvalues.update(values)
-        allvalues.update(insertion_values)
-
-        sql = "INSERT INTO %s (%s) VALUES (%s)" % (
-            table,
-            ", ".join(k for k in allvalues),
-            ", ".join("?" for _ in allvalues),
-        )
-        txn.execute(sql, list(allvalues.values()))
-        # successfully inserted
-        return True
-
-    def simple_upsert_txn_native_upsert(
-        self, txn, table, keyvalues, values, insertion_values={}
-    ):
-        """
-        Use the native UPSERT functionality in recent PostgreSQL versions.
-
-        Args:
-            table (str): The table to upsert into
-            keyvalues (dict): The unique key tables and their new values
-            values (dict): The nonunique columns and their new values
-            insertion_values (dict): additional key/values to use only when
-                inserting
-        Returns:
-            None
-        """
-        allvalues = {}
-        allvalues.update(keyvalues)
-        allvalues.update(insertion_values)
-
-        if not values:
-            latter = "NOTHING"
-        else:
-            allvalues.update(values)
-            latter = "UPDATE SET " + ", ".join(k + "=EXCLUDED." + k for k in values)
-
-        sql = ("INSERT INTO %s (%s) VALUES (%s) ON CONFLICT (%s) DO %s") % (
-            table,
-            ", ".join(k for k in allvalues),
-            ", ".join("?" for _ in allvalues),
-            ", ".join(k for k in keyvalues),
-            latter,
-        )
-        txn.execute(sql, list(allvalues.values()))
-
-    def simple_upsert_many_txn(
-        self, txn, table, key_names, key_values, value_names, value_values
-    ):
-        """
-        Upsert, many times.
-
-        Args:
-            table (str): The table to upsert into
-            key_names (list[str]): The key column names.
-            key_values (list[list]): A list of each row's key column values.
-            value_names (list[str]): The value column names. If empty, no
-                values will be used, even if value_values is provided.
-            value_values (list[list]): A list of each row's value column values.
-        Returns:
-            None
-        """
-        if (
-            self.database_engine.can_native_upsert
-            and table not in self._unsafe_to_upsert_tables
-        ):
-            return self.simple_upsert_many_txn_native_upsert(
-                txn, table, key_names, key_values, value_names, value_values
-            )
-        else:
-            return self.simple_upsert_many_txn_emulated(
-                txn, table, key_names, key_values, value_names, value_values
-            )
-
-    def simple_upsert_many_txn_emulated(
-        self, txn, table, key_names, key_values, value_names, value_values
-    ):
-        """
-        Upsert, many times, but without native UPSERT support or batching.
-
-        Args:
-            table (str): The table to upsert into
-            key_names (list[str]): The key column names.
-            key_values (list[list]): A list of each row's key column values.
-            value_names (list[str]): The value column names. If empty, no
-                values will be used, even if value_values is provided.
-            value_values (list[list]): A list of each row's value column values.
-        Returns:
-            None
-        """
-        # No value columns, therefore make a blank list so that the following
-        # zip() works correctly.
-        if not value_names:
-            value_values = [() for x in range(len(key_values))]
-
-        for keyv, valv in zip(key_values, value_values):
-            _keys = {x: y for x, y in zip(key_names, keyv)}
-            _vals = {x: y for x, y in zip(value_names, valv)}
-
-            self.simple_upsert_txn_emulated(txn, table, _keys, _vals)
-
-    def simple_upsert_many_txn_native_upsert(
-        self, txn, table, key_names, key_values, value_names, value_values
-    ):
-        """
-        Upsert, many times, using batching where possible.
-
-        Args:
-            table (str): The table to upsert into
-            key_names (list[str]): The key column names.
-            key_values (list[list]): A list of each row's key column values.
-            value_names (list[str]): The value column names. If empty, no
-                values will be used, even if value_values is provided.
-            value_values (list[list]): A list of each row's value column values.
-        Returns:
-            None
-        """
-        allnames = []
-        allnames.extend(key_names)
-        allnames.extend(value_names)
-
-        if not value_names:
-            # No value columns, therefore make a blank list so that the
-            # following zip() works correctly.
-            latter = "NOTHING"
-            value_values = [() for x in range(len(key_values))]
-        else:
-            latter = "UPDATE SET " + ", ".join(
-                k + "=EXCLUDED." + k for k in value_names
-            )
-
-        sql = "INSERT INTO %s (%s) VALUES (%s) ON CONFLICT (%s) DO %s" % (
-            table,
-            ", ".join(k for k in allnames),
-            ", ".join("?" for _ in allnames),
-            ", ".join(key_names),
-            latter,
-        )
-
-        args = []
-
-        for x, y in zip(key_values, value_values):
-            args.append(tuple(x) + tuple(y))
-
-        return txn.execute_batch(sql, args)
-
-    def simple_select_one(
-        self, table, keyvalues, retcols, allow_none=False, desc="simple_select_one"
-    ):
-        """Executes a SELECT query on the named table, which is expected to
-        return a single row, returning multiple columns from it.
-
-        Args:
-            table : string giving the table name
-            keyvalues : dict of column names and values to select the row with
-            retcols : list of strings giving the names of the columns to return
-
-            allow_none : If true, return None instead of failing if the SELECT
-              statement returns no rows
-        """
-        return self.runInteraction(
-            desc, self.simple_select_one_txn, table, keyvalues, retcols, allow_none
-        )
-
-    def simple_select_one_onecol(
-        self,
-        table,
-        keyvalues,
-        retcol,
-        allow_none=False,
-        desc="simple_select_one_onecol",
-    ):
-        """Executes a SELECT query on the named table, which is expected to
-        return a single row, returning a single column from it.
-
-        Args:
-            table : string giving the table name
-            keyvalues : dict of column names and values to select the row with
-            retcol : string giving the name of the column to return
-        """
-        return self.runInteraction(
-            desc,
-            self.simple_select_one_onecol_txn,
-            table,
-            keyvalues,
-            retcol,
-            allow_none=allow_none,
-        )
-
-    @classmethod
-    def simple_select_one_onecol_txn(
-        cls, txn, table, keyvalues, retcol, allow_none=False
-    ):
-        ret = cls.simple_select_onecol_txn(
-            txn, table=table, keyvalues=keyvalues, retcol=retcol
-        )
-
-        if ret:
-            return ret[0]
-        else:
-            if allow_none:
-                return None
-            else:
-                raise StoreError(404, "No row found")
-
-    @staticmethod
-    def simple_select_onecol_txn(txn, table, keyvalues, retcol):
-        sql = ("SELECT %(retcol)s FROM %(table)s") % {"retcol": retcol, "table": table}
-
-        if keyvalues:
-            sql += " WHERE %s" % " AND ".join("%s = ?" % k for k in iterkeys(keyvalues))
-            txn.execute(sql, list(keyvalues.values()))
-        else:
-            txn.execute(sql)
-
-        return [r[0] for r in txn]
-
-    def simple_select_onecol(
-        self, table, keyvalues, retcol, desc="simple_select_onecol"
-    ):
-        """Executes a SELECT query on the named table, which returns a list
-        comprising of the values of the named column from the selected rows.
-
-        Args:
-            table (str): table name
-            keyvalues (dict|None): column names and values to select the rows with
-            retcol (str): column whos value we wish to retrieve.
-
-        Returns:
-            Deferred: Results in a list
-        """
-        return self.runInteraction(
-            desc, self.simple_select_onecol_txn, table, keyvalues, retcol
-        )
-
-    def simple_select_list(self, table, keyvalues, retcols, desc="simple_select_list"):
-        """Executes a SELECT query on the named table, which may return zero or
-        more rows, returning the result as a list of dicts.
-
-        Args:
-            table (str): the table name
-            keyvalues (dict[str, Any] | None):
-                column names and values to select the rows with, or None to not
-                apply a WHERE clause.
-            retcols (iterable[str]): the names of the columns to return
-        Returns:
-            defer.Deferred: resolves to list[dict[str, Any]]
-        """
-        return self.runInteraction(
-            desc, self.simple_select_list_txn, table, keyvalues, retcols
-        )
-
-    @classmethod
-    def simple_select_list_txn(cls, txn, table, keyvalues, retcols):
-        """Executes a SELECT query on the named table, which may return zero or
-        more rows, returning the result as a list of dicts.
-
-        Args:
-            txn : Transaction object
-            table (str): the table name
-            keyvalues (dict[str, T] | None):
-                column names and values to select the rows with, or None to not
-                apply a WHERE clause.
-            retcols (iterable[str]): the names of the columns to return
-        """
-        if keyvalues:
-            sql = "SELECT %s FROM %s WHERE %s" % (
-                ", ".join(retcols),
-                table,
-                " AND ".join("%s = ?" % (k,) for k in keyvalues),
-            )
-            txn.execute(sql, list(keyvalues.values()))
-        else:
-            sql = "SELECT %s FROM %s" % (", ".join(retcols), table)
-            txn.execute(sql)
-
-        return cls.cursor_to_dict(txn)
-
-    @defer.inlineCallbacks
-    def simple_select_many_batch(
-        self,
-        table,
-        column,
-        iterable,
-        retcols,
-        keyvalues={},
-        desc="simple_select_many_batch",
-        batch_size=100,
-    ):
-        """Executes a SELECT query on the named table, which may return zero or
-        more rows, returning the result as a list of dicts.
-
-        Filters rows by if value of `column` is in `iterable`.
-
-        Args:
-            table : string giving the table name
-            column : column name to test for inclusion against `iterable`
-            iterable : list
-            keyvalues : dict of column names and values to select the rows with
-            retcols : list of strings giving the names of the columns to return
-        """
-        results = []
-
-        if not iterable:
-            return results
-
-        # iterables can not be sliced, so convert it to a list first
-        it_list = list(iterable)
-
-        chunks = [
-            it_list[i : i + batch_size] for i in range(0, len(it_list), batch_size)
-        ]
-        for chunk in chunks:
-            rows = yield self.runInteraction(
-                desc,
-                self.simple_select_many_txn,
-                table,
-                column,
-                chunk,
-                keyvalues,
-                retcols,
-            )
-
-            results.extend(rows)
-
-        return results
-
-    @classmethod
-    def simple_select_many_txn(cls, txn, table, column, iterable, keyvalues, retcols):
-        """Executes a SELECT query on the named table, which may return zero or
-        more rows, returning the result as a list of dicts.
-
-        Filters rows by if value of `column` is in `iterable`.
-
-        Args:
-            txn : Transaction object
-            table : string giving the table name
-            column : column name to test for inclusion against `iterable`
-            iterable : list
-            keyvalues : dict of column names and values to select the rows with
-            retcols : list of strings giving the names of the columns to return
-        """
-        if not iterable:
-            return []
-
-        clause, values = make_in_list_sql_clause(txn.database_engine, column, iterable)
-        clauses = [clause]
-
-        for key, value in iteritems(keyvalues):
-            clauses.append("%s = ?" % (key,))
-            values.append(value)
-
-        sql = "SELECT %s FROM %s WHERE %s" % (
-            ", ".join(retcols),
-            table,
-            " AND ".join(clauses),
-        )
-
-        txn.execute(sql, values)
-        return cls.cursor_to_dict(txn)
-
-    def simple_update(self, table, keyvalues, updatevalues, desc):
-        return self.runInteraction(
-            desc, self.simple_update_txn, table, keyvalues, updatevalues
-        )
-
-    @staticmethod
-    def simple_update_txn(txn, table, keyvalues, updatevalues):
-        if keyvalues:
-            where = "WHERE %s" % " AND ".join("%s = ?" % k for k in iterkeys(keyvalues))
-        else:
-            where = ""
-
-        update_sql = "UPDATE %s SET %s %s" % (
-            table,
-            ", ".join("%s = ?" % (k,) for k in updatevalues),
-            where,
-        )
-
-        txn.execute(update_sql, list(updatevalues.values()) + list(keyvalues.values()))
-
-        return txn.rowcount
-
-    def simple_update_one(
-        self, table, keyvalues, updatevalues, desc="simple_update_one"
-    ):
-        """Executes an UPDATE query on the named table, setting new values for
-        columns in a row matching the key values.
-
-        Args:
-            table : string giving the table name
-            keyvalues : dict of column names and values to select the row with
-            updatevalues : dict giving column names and values to update
-            retcols : optional list of column names to return
-
-        If present, retcols gives a list of column names on which to perform
-        a SELECT statement *before* performing the UPDATE statement. The values
-        of these will be returned in a dict.
-
-        These are performed within the same transaction, allowing an atomic
-        get-and-set.  This can be used to implement compare-and-set by putting
-        the update column in the 'keyvalues' dict as well.
-        """
-        return self.runInteraction(
-            desc, self.simple_update_one_txn, table, keyvalues, updatevalues
-        )
-
-    @classmethod
-    def simple_update_one_txn(cls, txn, table, keyvalues, updatevalues):
-        rowcount = cls.simple_update_txn(txn, table, keyvalues, updatevalues)
-
-        if rowcount == 0:
-            raise StoreError(404, "No row found (%s)" % (table,))
-        if rowcount > 1:
-            raise StoreError(500, "More than one row matched (%s)" % (table,))
-
-    @staticmethod
-    def simple_select_one_txn(txn, table, keyvalues, retcols, allow_none=False):
-        select_sql = "SELECT %s FROM %s WHERE %s" % (
-            ", ".join(retcols),
-            table,
-            " AND ".join("%s = ?" % (k,) for k in keyvalues),
-        )
-
-        txn.execute(select_sql, list(keyvalues.values()))
-        row = txn.fetchone()
-
-        if not row:
-            if allow_none:
-                return None
-            raise StoreError(404, "No row found (%s)" % (table,))
-        if txn.rowcount > 1:
-            raise StoreError(500, "More than one row matched (%s)" % (table,))
-
-        return dict(zip(retcols, row))
-
-    def simple_delete_one(self, table, keyvalues, desc="simple_delete_one"):
-        """Executes a DELETE query on the named table, expecting to delete a
-        single row.
-
-        Args:
-            table : string giving the table name
-            keyvalues : dict of column names and values to select the row with
-        """
-        return self.runInteraction(desc, self.simple_delete_one_txn, table, keyvalues)
-
-    @staticmethod
-    def simple_delete_one_txn(txn, table, keyvalues):
-        """Executes a DELETE query on the named table, expecting to delete a
-        single row.
-
-        Args:
-            table : string giving the table name
-            keyvalues : dict of column names and values to select the row with
-        """
-        sql = "DELETE FROM %s WHERE %s" % (
-            table,
-            " AND ".join("%s = ?" % (k,) for k in keyvalues),
-        )
-
-        txn.execute(sql, list(keyvalues.values()))
-        if txn.rowcount == 0:
-            raise StoreError(404, "No row found (%s)" % (table,))
-        if txn.rowcount > 1:
-            raise StoreError(500, "More than one row matched (%s)" % (table,))
-
-    def simple_delete(self, table, keyvalues, desc):
-        return self.runInteraction(desc, self.simple_delete_txn, table, keyvalues)
-
-    @staticmethod
-    def simple_delete_txn(txn, table, keyvalues):
-        sql = "DELETE FROM %s WHERE %s" % (
-            table,
-            " AND ".join("%s = ?" % (k,) for k in keyvalues),
-        )
-
-        txn.execute(sql, list(keyvalues.values()))
-        return txn.rowcount
-
-    def simple_delete_many(self, table, column, iterable, keyvalues, desc):
-        return self.runInteraction(
-            desc, self.simple_delete_many_txn, table, column, iterable, keyvalues
-        )
-
-    @staticmethod
-    def simple_delete_many_txn(txn, table, column, iterable, keyvalues):
-        """Executes a DELETE query on the named table.
-
-        Filters rows by if value of `column` is in `iterable`.
-
-        Args:
-            txn : Transaction object
-            table : string giving the table name
-            column : column name to test for inclusion against `iterable`
-            iterable : list
-            keyvalues : dict of column names and values to select the rows with
-
-        Returns:
-            int: Number rows deleted
-        """
-        if not iterable:
-            return 0
-
-        sql = "DELETE FROM %s" % table
-
-        clause, values = make_in_list_sql_clause(txn.database_engine, column, iterable)
-        clauses = [clause]
-
-        for key, value in iteritems(keyvalues):
-            clauses.append("%s = ?" % (key,))
-            values.append(value)
-
-        if clauses:
-            sql = "%s WHERE %s" % (sql, " AND ".join(clauses))
-        txn.execute(sql, values)
-
-        return txn.rowcount
-
-    def get_cache_dict(
-        self, db_conn, table, entity_column, stream_column, max_value, limit=100000
-    ):
-        # Fetch a mapping of room_id -> max stream position for "recent" rooms.
-        # It doesn't really matter how many we get, the StreamChangeCache will
-        # do the right thing to ensure it respects the max size of cache.
-        sql = (
-            "SELECT %(entity)s, MAX(%(stream)s) FROM %(table)s"
-            " WHERE %(stream)s > ? - %(limit)s"
-            " GROUP BY %(entity)s"
-        ) % {
-            "table": table,
-            "entity": entity_column,
-            "stream": stream_column,
-            "limit": limit,
-        }
-
-        sql = self.database_engine.convert_param_style(sql)
-
-        txn = db_conn.cursor()
-        txn.execute(sql, (int(max_value),))
-
-        cache = {row[0]: int(row[1]) for row in txn}
-
-        txn.close()
-
-        if cache:
-            min_val = min(itervalues(cache))
-        else:
-            min_val = max_value
-
-        return cache, min_val
-
     def _invalidate_state_caches(self, room_id, members_changed):
         """Invalidates caches that are based on the current state, but does
         not stream invalidations down replication.
@@ -1347,159 +71,6 @@ class SQLBaseStore(object):
             # which is fine.
             pass
 
-    def simple_select_list_paginate(
-        self,
-        table,
-        keyvalues,
-        orderby,
-        start,
-        limit,
-        retcols,
-        order_direction="ASC",
-        desc="simple_select_list_paginate",
-    ):
-        """
-        Executes a SELECT query on the named table with start and limit,
-        of row numbers, which may return zero or number of rows from start to limit,
-        returning the result as a list of dicts.
-
-        Args:
-            table (str): the table name
-            keyvalues (dict[str, T] | None):
-                column names and values to select the rows with, or None to not
-                apply a WHERE clause.
-            orderby (str): Column to order the results by.
-            start (int): Index to begin the query at.
-            limit (int): Number of results to return.
-            retcols (iterable[str]): the names of the columns to return
-            order_direction (str): Whether the results should be ordered "ASC" or "DESC".
-        Returns:
-            defer.Deferred: resolves to list[dict[str, Any]]
-        """
-        return self.runInteraction(
-            desc,
-            self.simple_select_list_paginate_txn,
-            table,
-            keyvalues,
-            orderby,
-            start,
-            limit,
-            retcols,
-            order_direction=order_direction,
-        )
-
-    @classmethod
-    def simple_select_list_paginate_txn(
-        cls,
-        txn,
-        table,
-        keyvalues,
-        orderby,
-        start,
-        limit,
-        retcols,
-        order_direction="ASC",
-    ):
-        """
-        Executes a SELECT query on the named table with start and limit,
-        of row numbers, which may return zero or number of rows from start to limit,
-        returning the result as a list of dicts.
-
-        Args:
-            txn : Transaction object
-            table (str): the table name
-            keyvalues (dict[str, T] | None):
-                column names and values to select the rows with, or None to not
-                apply a WHERE clause.
-            orderby (str): Column to order the results by.
-            start (int): Index to begin the query at.
-            limit (int): Number of results to return.
-            retcols (iterable[str]): the names of the columns to return
-            order_direction (str): Whether the results should be ordered "ASC" or "DESC".
-        Returns:
-            defer.Deferred: resolves to list[dict[str, Any]]
-        """
-        if order_direction not in ["ASC", "DESC"]:
-            raise ValueError("order_direction must be one of 'ASC' or 'DESC'.")
-
-        if keyvalues:
-            where_clause = "WHERE " + " AND ".join("%s = ?" % (k,) for k in keyvalues)
-        else:
-            where_clause = ""
-
-        sql = "SELECT %s FROM %s %s ORDER BY %s %s LIMIT ? OFFSET ?" % (
-            ", ".join(retcols),
-            table,
-            where_clause,
-            orderby,
-            order_direction,
-        )
-        txn.execute(sql, list(keyvalues.values()) + [limit, start])
-
-        return cls.cursor_to_dict(txn)
-
-    def get_user_count_txn(self, txn):
-        """Get a total number of registered users in the users list.
-
-        Args:
-            txn : Transaction object
-        Returns:
-            int : number of users
-        """
-        sql_count = "SELECT COUNT(*) FROM users WHERE is_guest = 0;"
-        txn.execute(sql_count)
-        return txn.fetchone()[0]
-
-    def simple_search_list(self, table, term, col, retcols, desc="simple_search_list"):
-        """Executes a SELECT query on the named table, which may return zero or
-        more rows, returning the result as a list of dicts.
-
-        Args:
-            table (str): the table name
-            term (str | None):
-                term for searching the table matched to a column.
-            col (str): column to query term should be matched to
-            retcols (iterable[str]): the names of the columns to return
-        Returns:
-            defer.Deferred: resolves to list[dict[str, Any]] or None
-        """
-
-        return self.runInteraction(
-            desc, self.simple_search_list_txn, table, term, col, retcols
-        )
-
-    @classmethod
-    def simple_search_list_txn(cls, txn, table, term, col, retcols):
-        """Executes a SELECT query on the named table, which may return zero or
-        more rows, returning the result as a list of dicts.
-
-        Args:
-            txn : Transaction object
-            table (str): the table name
-            term (str | None):
-                term for searching the table matched to a column.
-            col (str): column to query term should be matched to
-            retcols (iterable[str]): the names of the columns to return
-        Returns:
-            defer.Deferred: resolves to list[dict[str, Any]] or None
-        """
-        if term:
-            sql = "SELECT %s FROM %s WHERE %s LIKE ?" % (", ".join(retcols), table, col)
-            termvalues = ["%%" + term + "%%"]
-            txn.execute(sql, termvalues)
-        else:
-            return 0
-
-        return cls.cursor_to_dict(txn)
-
-
-class _RollbackButIsFineException(Exception):
-    """ This exception is used to rollback a transaction without implying
-    something went wrong.
-    """
-
-    pass
-
 
 def db_to_json(db_content):
     """
@@ -1528,30 +99,3 @@ def db_to_json(db_content):
     except Exception:
         logging.warning("Tried to decode '%r' as JSON and failed", db_content)
         raise
-
-
-def make_in_list_sql_clause(
-    database_engine, column: str, iterable: Iterable
-) -> Tuple[str, Iterable]:
-    """Returns an SQL clause that checks the given column is in the iterable.
-
-    On SQLite this expands to `column IN (?, ?, ...)`, whereas on Postgres
-    it expands to `column = ANY(?)`. While both DBs support the `IN` form,
-    using the `ANY` form on postgres means that it views queries with
-    different length iterables as the same, helping the query stats.
-
-    Args:
-        database_engine
-        column: Name of the column
-        iterable: The values to check the column against.
-
-    Returns:
-        A tuple of SQL query and the args
-    """
-
-    if database_engine.supports_using_any_list:
-        # This should hopefully be faster, but also makes postgres query
-        # stats easier to understand.
-        return "%s = ANY(?)" % (column,), [list(iterable)]
-    else:
-        return "%s IN (%s)" % (column, ",".join("?" for _ in iterable)), list(iterable)