synapse-product/synapse/storage/prepare_database.py

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# Copyright 2014 - 2016 OpenMarket Ltd
# Copyright 2018 New Vector Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import importlib.util
import logging
import os
import re
from collections import Counter
from typing import Collection, Generator, Iterable, List, Optional, TextIO, Tuple
import attr
from typing_extensions import Counter as CounterType
from synapse.config.homeserver import HomeServerConfig
from synapse.storage.database import LoggingDatabaseConnection
from synapse.storage.engines import BaseDatabaseEngine
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from synapse.storage.engines.postgres import PostgresEngine
from synapse.storage.types import Cursor
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logger = logging.getLogger(__name__)
# Remember to update this number every time a change is made to database
# schema files, so the users will be informed on server restarts.
SCHEMA_VERSION = 59
dir_path = os.path.abspath(os.path.dirname(__file__))
class PrepareDatabaseException(Exception):
pass
class UpgradeDatabaseException(PrepareDatabaseException):
pass
OUTDATED_SCHEMA_ON_WORKER_ERROR = (
"Expected database schema version %i but got %i: run the main synapse process to "
"upgrade the database schema before starting worker processes."
)
EMPTY_DATABASE_ON_WORKER_ERROR = (
"Uninitialised database: run the main synapse process to prepare the database "
"schema before starting worker processes."
)
UNAPPLIED_DELTA_ON_WORKER_ERROR = (
"Database schema delta %s has not been applied: run the main synapse process to "
"upgrade the database schema before starting worker processes."
)
def prepare_database(
db_conn: LoggingDatabaseConnection,
database_engine: BaseDatabaseEngine,
config: Optional[HomeServerConfig],
databases: Collection[str] = ("main", "state"),
):
"""Prepares a physical database for usage. Will either create all necessary tables
or upgrade from an older schema version.
If `config` is None then prepare_database will assert that no upgrade is
necessary, *or* will create a fresh database if the database is empty.
Args:
db_conn:
database_engine:
config :
application config, or None if we are connecting to an existing
database which we expect to be configured already
databases: The name of the databases that will be used
with this physical database. Defaults to all databases.
"""
try:
cur = db_conn.cursor(txn_name="prepare_database")
# sqlite does not automatically start transactions for DDL / SELECT statements,
# so we start one before running anything. This ensures that any upgrades
# are either applied completely, or not at all.
#
# (psycopg2 automatically starts a transaction as soon as we run any statements
# at all, so this is redundant but harmless there.)
cur.execute("BEGIN TRANSACTION")
logger.info("%r: Checking existing schema version", databases)
version_info = _get_or_create_schema_state(cur, database_engine)
if version_info:
user_version, delta_files, upgraded = version_info
logger.info(
"%r: Existing schema is %i (+%i deltas)",
databases,
user_version,
len(delta_files),
)
# config should only be None when we are preparing an in-memory SQLite db,
# which should be empty.
if config is None:
raise ValueError(
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"config==None in prepare_database, but database is not empty"
)
# if it's a worker app, refuse to upgrade the database, to avoid multiple
# workers doing it at once.
if config.worker_app is not None and user_version != SCHEMA_VERSION:
raise UpgradeDatabaseException(
OUTDATED_SCHEMA_ON_WORKER_ERROR % (SCHEMA_VERSION, user_version)
)
_upgrade_existing_database(
cur,
user_version,
delta_files,
upgraded,
database_engine,
config,
databases=databases,
)
else:
logger.info("%r: Initialising new database", databases)
# if it's a worker app, refuse to upgrade the database, to avoid multiple
# workers doing it at once.
if config and config.worker_app is not None:
raise UpgradeDatabaseException(EMPTY_DATABASE_ON_WORKER_ERROR)
_setup_new_database(cur, database_engine, databases=databases)
# check if any of our configured dynamic modules want a database
if config is not None:
_apply_module_schemas(cur, database_engine, config)
cur.close()
db_conn.commit()
except Exception:
db_conn.rollback()
raise
def _setup_new_database(
cur: Cursor, database_engine: BaseDatabaseEngine, databases: Collection[str]
) -> None:
"""Sets up the physical database by finding a base set of "full schemas" and
then applying any necessary deltas, including schemas from the given data
stores.
The "full_schemas" directory has subdirectories named after versions. This
function searches for the highest version less than or equal to
`SCHEMA_VERSION` and executes all .sql files in that directory.
The function will then apply all deltas for all versions after the base
version.
Example directory structure:
schema/
delta/
...
full_schemas/
3/
test.sql
...
11/
foo.sql
bar.sql
...
In the example foo.sql and bar.sql would be run, and then any delta files
for versions strictly greater than 11.
Note: we apply the full schemas and deltas from the top level `schema/`
folder as well those in the data stores specified.
Args:
cur: a database cursor
database_engine
databases: The names of the databases to instantiate on the given physical database.
"""
# We're about to set up a brand new database so we check that its
# configured to our liking.
database_engine.check_new_database(cur)
current_dir = os.path.join(dir_path, "schema", "full_schemas")
# First we find the highest full schema version we have
valid_versions = []
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for filename in os.listdir(current_dir):
try:
ver = int(filename)
except ValueError:
continue
if ver <= SCHEMA_VERSION:
valid_versions.append(ver)
if not valid_versions:
raise PrepareDatabaseException(
"Could not find a suitable base set of full schemas"
)
max_current_ver = max(valid_versions)
logger.debug("Initialising schema v%d", max_current_ver)
# Now lets find all the full schema files, both in the global schema and
# in data store schemas.
directories = [os.path.join(current_dir, str(max_current_ver))]
directories.extend(
os.path.join(
dir_path,
"databases",
database,
"schema",
"full_schemas",
str(max_current_ver),
)
for database in databases
)
directory_entries = [] # type: List[_DirectoryListing]
for directory in directories:
directory_entries.extend(
_DirectoryListing(file_name, os.path.join(directory, file_name))
for file_name in os.listdir(directory)
)
if isinstance(database_engine, PostgresEngine):
specific = "postgres"
else:
specific = "sqlite"
directory_entries.sort()
for entry in directory_entries:
if entry.file_name.endswith(".sql") or entry.file_name.endswith(
".sql." + specific
):
logger.debug("Applying schema %s", entry.absolute_path)
executescript(cur, entry.absolute_path)
cur.execute(
"INSERT INTO schema_version (version, upgraded) VALUES (?,?)",
(max_current_ver, False),
)
_upgrade_existing_database(
cur,
current_version=max_current_ver,
applied_delta_files=[],
upgraded=False,
database_engine=database_engine,
config=None,
databases=databases,
is_empty=True,
)
def _upgrade_existing_database(
cur: Cursor,
current_version: int,
applied_delta_files: List[str],
upgraded: bool,
database_engine: BaseDatabaseEngine,
config: Optional[HomeServerConfig],
databases: Collection[str],
is_empty: bool = False,
) -> None:
"""Upgrades an existing physical database.
Delta files can either be SQL stored in *.sql files, or python modules
in *.py.
There can be multiple delta files per version. Synapse will keep track of
which delta files have been applied, and will apply any that haven't been
even if there has been no version bump. This is useful for development
where orthogonal schema changes may happen on separate branches.
Different delta files for the same version *must* be orthogonal and give
the same result when applied in any order. No guarantees are made on the
order of execution of these scripts.
This is a no-op of current_version == SCHEMA_VERSION.
Example directory structure:
schema/
delta/
11/
foo.sql
...
12/
foo.sql
bar.py
...
full_schemas/
...
In the example, if current_version is 11, then foo.sql will be run if and
only if `upgraded` is True. Then `foo.sql` and `bar.py` would be run in
some arbitrary order.
Note: we apply the delta files from the specified data stores as well as
those in the top-level schema. We apply all delta files across data stores
for a version before applying those in the next version.
Args:
cur
current_version: The current version of the schema.
applied_delta_files: A list of deltas that have already been applied.
upgraded: Whether the current version was generated by having
applied deltas or from full schema file. If `True` the function
will never apply delta files for the given `current_version`, since
the current_version wasn't generated by applying those delta files.
database_engine
config:
None if we are initialising a blank database, otherwise the application
config
databases: The names of the databases to instantiate
on the given physical database.
is_empty: Is this a blank database? I.e. do we need to run the
upgrade portions of the delta scripts.
"""
if is_empty:
assert not applied_delta_files
else:
assert config
is_worker = config and config.worker_app is not None
if current_version > SCHEMA_VERSION:
raise ValueError(
"Cannot use this database as it is too "
+ "new for the server to understand"
)
# some of the deltas assume that config.server_name is set correctly, so now
# is a good time to run the sanity check.
if not is_empty and "main" in databases:
from synapse.storage.databases.main import check_database_before_upgrade
assert config is not None
check_database_before_upgrade(cur, database_engine, config)
start_ver = current_version
if not upgraded:
start_ver += 1
logger.debug("applied_delta_files: %s", applied_delta_files)
if isinstance(database_engine, PostgresEngine):
specific_engine_extension = ".postgres"
else:
specific_engine_extension = ".sqlite"
specific_engine_extensions = (".sqlite", ".postgres")
for v in range(start_ver, SCHEMA_VERSION + 1):
if not is_worker:
logger.info("Applying schema deltas for v%d", v)
cur.execute("DELETE FROM schema_version")
cur.execute(
"INSERT INTO schema_version (version, upgraded) VALUES (?,?)",
(v, True),
)
else:
logger.info("Checking schema deltas for v%d", v)
# We need to search both the global and per data store schema
# directories for schema updates.
# First we find the directories to search in
delta_dir = os.path.join(dir_path, "schema", "delta", str(v))
directories = [delta_dir]
for database in databases:
directories.append(
os.path.join(dir_path, "databases", database, "schema", "delta", str(v))
)
# Used to check if we have any duplicate file names
file_name_counter = Counter() # type: CounterType[str]
# Now find which directories have anything of interest.
directory_entries = [] # type: List[_DirectoryListing]
for directory in directories:
logger.debug("Looking for schema deltas in %s", directory)
try:
file_names = os.listdir(directory)
directory_entries.extend(
_DirectoryListing(file_name, os.path.join(directory, file_name))
for file_name in file_names
)
for file_name in file_names:
file_name_counter[file_name] += 1
except FileNotFoundError:
# Data stores can have empty entries for a given version delta.
pass
except OSError:
raise UpgradeDatabaseException(
"Could not open delta dir for version %d: %s" % (v, directory)
)
duplicates = {
file_name for file_name, count in file_name_counter.items() if count > 1
}
if duplicates:
# We don't support using the same file name in the same delta version.
raise PrepareDatabaseException(
"Found multiple delta files with the same name in v%d: %s"
% (
v,
duplicates,
)
)
# We sort to ensure that we apply the delta files in a consistent
# order (to avoid bugs caused by inconsistent directory listing order)
directory_entries.sort()
for entry in directory_entries:
file_name = entry.file_name
relative_path = os.path.join(str(v), file_name)
absolute_path = entry.absolute_path
logger.debug("Found file: %s (%s)", relative_path, absolute_path)
if relative_path in applied_delta_files:
continue
root_name, ext = os.path.splitext(file_name)
if ext == ".py":
# This is a python upgrade module. We need to import into some
# package and then execute its `run_upgrade` function.
if is_worker:
raise PrepareDatabaseException(
UNAPPLIED_DELTA_ON_WORKER_ERROR % relative_path
)
module_name = "synapse.storage.v%d_%s" % (v, root_name)
spec = importlib.util.spec_from_file_location(
module_name, absolute_path
)
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module) # type: ignore
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logger.info("Running script %s", relative_path)
module.run_create(cur, database_engine) # type: ignore
if not is_empty:
module.run_upgrade(cur, database_engine, config=config) # type: ignore
elif ext == ".pyc" or file_name == "__pycache__":
# Sometimes .pyc files turn up anyway even though we've
# disabled their generation; e.g. from distribution package
# installers. Silently skip it
continue
elif ext == ".sql":
# A plain old .sql file, just read and execute it
if is_worker:
raise PrepareDatabaseException(
UNAPPLIED_DELTA_ON_WORKER_ERROR % relative_path
)
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logger.info("Applying schema %s", relative_path)
executescript(cur, absolute_path)
elif ext == specific_engine_extension and root_name.endswith(".sql"):
# A .sql file specific to our engine; just read and execute it
if is_worker:
raise PrepareDatabaseException(
UNAPPLIED_DELTA_ON_WORKER_ERROR % relative_path
)
logger.info("Applying engine-specific schema %s", relative_path)
executescript(cur, absolute_path)
elif ext in specific_engine_extensions and root_name.endswith(".sql"):
# A .sql file for a different engine; skip it.
continue
else:
# Not a valid delta file.
logger.warning(
"Found directory entry that did not end in .py or .sql: %s",
relative_path,
)
continue
# Mark as done.
cur.execute(
"INSERT INTO applied_schema_deltas (version, file) VALUES (?,?)",
(v, relative_path),
)
logger.info("Schema now up to date")
def _apply_module_schemas(
txn: Cursor, database_engine: BaseDatabaseEngine, config: HomeServerConfig
) -> None:
"""Apply the module schemas for the dynamic modules, if any
Args:
cur: database cursor
database_engine:
config: application config
"""
for (mod, _config) in config.password_providers:
if not hasattr(mod, "get_db_schema_files"):
continue
modname = ".".join((mod.__module__, mod.__name__))
_apply_module_schema_files(
txn, database_engine, modname, mod.get_db_schema_files()
)
def _apply_module_schema_files(
cur: Cursor,
database_engine: BaseDatabaseEngine,
modname: str,
names_and_streams: Iterable[Tuple[str, TextIO]],
) -> None:
"""Apply the module schemas for a single module
Args:
cur: database cursor
database_engine: synapse database engine class
modname: fully qualified name of the module
names_and_streams: the names and streams of schemas to be applied
"""
cur.execute(
"SELECT file FROM applied_module_schemas WHERE module_name = ?",
(modname,),
)
applied_deltas = {d for d, in cur}
for (name, stream) in names_and_streams:
if name in applied_deltas:
continue
root_name, ext = os.path.splitext(name)
if ext != ".sql":
raise PrepareDatabaseException(
"only .sql files are currently supported for module schemas"
)
logger.info("applying schema %s for %s", name, modname)
execute_statements_from_stream(cur, stream)
# Mark as done.
cur.execute(
"INSERT INTO applied_module_schemas (module_name, file) VALUES (?,?)",
(modname, name),
)
def get_statements(f: Iterable[str]) -> Generator[str, None, None]:
statement_buffer = ""
in_comment = False # If we're in a /* ... */ style comment
for line in f:
line = line.strip()
if in_comment:
# Check if this line contains an end to the comment
comments = line.split("*/", 1)
if len(comments) == 1:
continue
line = comments[1]
in_comment = False
# Remove inline block comments
line = re.sub(r"/\*.*\*/", " ", line)
# Does this line start a comment?
comments = line.split("/*", 1)
if len(comments) > 1:
line = comments[0]
in_comment = True
# Deal with line comments
line = line.split("--", 1)[0]
line = line.split("//", 1)[0]
# Find *all* semicolons. We need to treat first and last entry
# specially.
statements = line.split(";")
# We must prepend statement_buffer to the first statement
first_statement = "%s %s" % (statement_buffer.strip(), statements[0].strip())
statements[0] = first_statement
# Every entry, except the last, is a full statement
for statement in statements[:-1]:
yield statement.strip()
# The last entry did *not* end in a semicolon, so we store it for the
# next semicolon we find
statement_buffer = statements[-1].strip()
def executescript(txn: Cursor, schema_path: str) -> None:
with open(schema_path, "r") as f:
execute_statements_from_stream(txn, f)
def execute_statements_from_stream(cur: Cursor, f: TextIO) -> None:
for statement in get_statements(f):
cur.execute(statement)
def _get_or_create_schema_state(
txn: Cursor, database_engine: BaseDatabaseEngine
) -> Optional[Tuple[int, List[str], bool]]:
# Bluntly try creating the schema_version tables.
schema_path = os.path.join(dir_path, "schema", "schema_version.sql")
executescript(txn, schema_path)
txn.execute("SELECT version, upgraded FROM schema_version")
row = txn.fetchone()
if row is not None:
current_version = int(row[0])
txn.execute(
"SELECT file FROM applied_schema_deltas WHERE version >= ?",
(current_version,),
)
applied_deltas = [d for d, in txn]
upgraded = bool(row[1])
return current_version, applied_deltas, upgraded
return None
@attr.s(slots=True)
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class _DirectoryListing:
"""Helper class to store schema file name and the
absolute path to it.
These entries get sorted, so for consistency we want to ensure that
`file_name` attr is kept first.
"""
file_name = attr.ib(type=str)
absolute_path = attr.ib(type=str)