diff options
Diffstat (limited to 'synapse/storage')
| -rw-r--r-- | synapse/storage/stream.py | 179 |
1 files changed, 118 insertions, 61 deletions
diff --git a/synapse/storage/stream.py b/synapse/storage/stream.py index d105b6b17d..163363c0c2 100644 --- a/synapse/storage/stream.py +++ b/synapse/storage/stream.py @@ -64,59 +64,120 @@ _EventDictReturn = namedtuple( ) -def lower_bound(token, engine, inclusive=False): - inclusive = "=" if inclusive else "" - if token.topological is None: - return "(%d <%s %s)" % (token.stream, inclusive, "stream_ordering") - else: - if isinstance(engine, PostgresEngine): - # Postgres doesn't optimise ``(x < a) OR (x=a AND y<b)`` as well - # as it optimises ``(x,y) < (a,b)`` on multicolumn indexes. So we - # use the later form when running against postgres. - return "((%d,%d) <%s (%s,%s))" % ( - token.topological, - token.stream, - inclusive, - "topological_ordering", - "stream_ordering", +def generate_pagination_where_clause( + direction, column_names, from_token, to_token, engine, +): + """Creates an SQL expression to bound the columns by the pagination + tokens. + + For example creates an SQL expression like: + + (6, 7) >= (topological_ordering, stream_ordering) + AND (5, 3) < (topological_ordering, stream_ordering) + + would be generated for dir=b, from_token=(6, 7) and to_token=(5, 3). + + Args: + direction (str): Whether we're paginating backwards("b") or + forwards ("f"). + column_names (tuple[str, str]): The column names to bound. Must *not* + be user defined as these get inserted directly into the SQL + statement without escapes. + from_token (tuple[int, int]|None) + to_token (tuple[int, int]|None) + engine: The database engine to generate the clauses for + + Returns: + str: The sql expression + """ + assert direction in ("b", "f") + + where_clause = [] + if from_token: + where_clause.append( + _make_generic_sql_bound( + bound=">=" if direction == "b" else "<", + column_names=column_names, + values=from_token, + engine=engine, ) - return "(%d < %s OR (%d = %s AND %d <%s %s))" % ( - token.topological, - "topological_ordering", - token.topological, - "topological_ordering", - token.stream, - inclusive, - "stream_ordering", - ) - - -def upper_bound(token, engine, inclusive=True): - inclusive = "=" if inclusive else "" - if token.topological is None: - return "(%d >%s %s)" % (token.stream, inclusive, "stream_ordering") - else: - if isinstance(engine, PostgresEngine): - # Postgres doesn't optimise ``(x > a) OR (x=a AND y>b)`` as well - # as it optimises ``(x,y) > (a,b)`` on multicolumn indexes. So we - # use the later form when running against postgres. - return "((%d,%d) >%s (%s,%s))" % ( - token.topological, - token.stream, - inclusive, - "topological_ordering", - "stream_ordering", + ) + + if to_token: + where_clause.append( + _make_generic_sql_bound( + bound="<" if direction == "b" else ">=", + column_names=column_names, + values=to_token, + engine=engine, ) - return "(%d > %s OR (%d = %s AND %d >%s %s))" % ( - token.topological, - "topological_ordering", - token.topological, - "topological_ordering", - token.stream, - inclusive, - "stream_ordering", ) + return " AND ".join(where_clause) + + +def _make_generic_sql_bound(bound, column_names, values, engine): + """Create an SQL expression that bounds the given column names by the + values, e.g. create the equivalent of `(1, 2) < (col1, col2)`. + + Only works with two columns. + + Older versions of SQLite don't support that syntax so we have to expand it + out manually. + + Args: + bound (str): The comparison operator to use. One of ">", "<", ">=", + "<=", where the values are on the left and columns on the right. + names (tuple[str, str]): The column names. Must *not* be user defined + as these get inserted directly into the SQL statement without + escapes. + values (tuple[int, int]): The values to bound the columns by. + engine: The database engine to generate the SQL for + + Returns: + str + """ + + assert(bound in (">", "<", ">=", "<=")) + + name1, name2 = column_names + val1, val2 = values + + if val1 is None: + val2 = int(val2) + return "(%d %s %s)" % (val2, bound, name2) + + val1 = int(val1) + val2 = int(val2) + + if isinstance(engine, PostgresEngine): + # Postgres doesn't optimise ``(x < a) OR (x=a AND y<b)`` as well + # as it optimises ``(x,y) < (a,b)`` on multicolumn indexes. So we + # use the later form when running against postgres. + return "((%d,%d) %s (%s,%s))" % ( + val1, val2, + bound, + name1, name2, + ) + + # We want to generate queries of e.g. the form: + # + # (val1 < name1 OR (val1 = name1 AND val2 <= name2)) + # + # which is equivalent to (val1, val2) < (name1, name2) + + return """( + {val1:d} {strict_bound} {name1} + OR ({val1:d} = {name1} AND {val2:d} {bound} {name2}) + )""".format( + name1=name1, + val1=val1, + name2=name2, + val2=val2, + strict_bound=bound[0], # The first bound must always be strict equality here + bound=bound, + ) + def filter_to_clause(event_filter): # NB: This may create SQL clauses that don't optimise well (and we don't @@ -762,20 +823,16 @@ class StreamWorkerStore(EventsWorkerStore, SQLBaseStore): args = [False, room_id] if direction == 'b': order = "DESC" - bounds = upper_bound(from_token, self.database_engine) - if to_token: - bounds = "%s AND %s" % ( - bounds, - lower_bound(to_token, self.database_engine), - ) else: order = "ASC" - bounds = lower_bound(from_token, self.database_engine) - if to_token: - bounds = "%s AND %s" % ( - bounds, - upper_bound(to_token, self.database_engine), - ) + + bounds = generate_pagination_where_clause( + direction=direction, + column_names=("topological_ordering", "stream_ordering"), + from_token=from_token, + to_token=to_token, + engine=self.database_engine, + ) filter_clause, filter_args = filter_to_clause(event_filter) |