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Edit File : db.py \| Size : 8.22 KB
#!/opt/cloudlinux/venv/bin/python3 -sbb # coding=utf-8 # # Copyright © Cloud Linux GmbH & Cloud Linux Software, Inc 2010-2020 All Rights Reserved # # Licensed under CLOUD LINUX LICENSE AGREEMENT # http://cloudlinux.com/docs/LICENCE.TXT # import os import contextlib import sqlite3 import logging from datetime import datetime, timedelta from sqlalchemy import ( Column, Boolean, DateTime, Integer, String, create_engine, event, func, text ) from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.engine.reflection import Inspector from sqlalchemy.orm import Session from sqlalchemy.orm.session import close_all_sessions from sqlalchemy.exc import DatabaseError SSA_DB = '/var/lve/ssa.db' OLD_SSA_DB = SSA_DB + '.old' RETENTION_TIME_DAYS = 1 Base = declarative_base() logger = logging.getLogger("cleanup_old_data") class RequestResult(Base): """ Describes processed request stored in database file. E.g. { "timestamp": "1650008727", "url": "http://mydomain.com/index.php", "duration": 162077, "hitting_limits": false, "throttled_time": 0, "io_throttled_time": 0, "wordpress": true } Note: created_at, updated_at is saved in local TZ format """ __tablename__ = 'scrape_result' id = Column(Integer, primary_key=True) domain = Column(String, index=True, nullable=False) path = Column(String, index=True, nullable=False) timestamp = Column(Integer, nullable=False) duration = Column(Integer, nullable=False) is_slow_request = Column(Boolean, nullable=False) hitting_limits = Column(Boolean, nullable=False) throttled_time = Column(Integer, nullable=False) io_throttled_time = Column(Integer, nullable=False) wordpress = Column(Boolean, nullable=False) # Index on created_at speeds up cleanup_old_data queries significantly created_at = Column(DateTime(timezone=True), server_default=func.now(), index=True) updated_at = Column(DateTime(timezone=True), onupdate=func.now(), server_default=func.now()) def cleanup_old_data(engine, batch_size=10000): """ Removes outdated records from database, saving disk space. Deletions are batched to avoid loading the entire database into the cgroup's page cache, which causes OOM on large databases. Runs VACUUM after deletion to reclaim disk space. """ n_days_ago = datetime.today() - timedelta(days=RETENTION_TIME_DAYS) total_deleted = 0 while True: with session_scope(engine) as session: result = session.execute(text( "DELETE FROM scrape_result WHERE rowid IN " "(SELECT rowid FROM scrape_result WHERE created_at < :cutoff LIMIT :batch)" ), {"cutoff": n_days_ago, "batch": batch_size}) deleted = result.rowcount total_deleted += deleted if deleted == 0: break logger.info("Cleanup deleted %d old records", total_deleted) vacuum_database(engine) def vacuum_database(engine): """ Run VACUUM command to reclaim disk space after deletions. VACUUM must be run outside of a transaction, so we use raw connection. SQLite VACUUM creates a full temporary copy of the database. By default, the temp file goes to /var/tmp or /tmp which may be tmpfs (RAM-backed). On systems with MemoryMax cgroup limits (like ssa-agent.service), this causes OOM kills for large databases. Setting temp_store_directory to the database's own directory ensures the temp file is written to disk, not RAM. """ # Get a raw connection from the pool raw_conn = engine.raw_connection() original_isolation_level = raw_conn.isolation_level try: raw_conn.isolation_level = None cursor = raw_conn.cursor() # Determine and check the directory db_dir = os.path.dirname(os.path.abspath(SSA_DB)) if os.access(db_dir, os.W_OK): cursor.execute(f"PRAGMA temp_store_directory = '{db_dir}'") logger.info(f"Set SQLite temp_store_directory to: {db_dir}") else: logger.warning(f"Directory {db_dir} not writable. VACUUM will use default /var/tmp.") logger.info("Starting VACUUM operation...") cursor.execute("VACUUM") logger.info("VACUUM completed successfully.") cursor.close() except Exception as e: logger.error(f"VACUUM failed: {str(e)}") finally: raw_conn.isolation_level = original_isolation_level raw_conn.close() def create_db_if_not_exist(engine): if not is_db_present(engine): Base.metadata.create_all(engine) def is_db_present(engine): if not os.path.isfile(SSA_DB): return False database_inspection = Inspector.from_engine(engine) tables = [table for table in database_inspection.get_table_names()] return len(tables) > 0 def setup_wal_mode(dbapi_con, con_record): dbapi_con.execute('PRAGMA journal_mode = WAL') def _setup_database(readonly): connection_string = f'file:{SSA_DB}' if readonly: connection_string = f'{connection_string}?mode=ro' creator = lambda: sqlite3.connect(connection_string, uri=True) engine = create_engine( 'sqlite:////', creator=creator, echo=False, ) event.listen(engine, 'connect', setup_wal_mode) create_db_if_not_exist(engine) return engine def setup_database(readonly=False): return _setup_database(readonly) def restore_database(engine): """ Restore database by establish connections to old and new databases, merge data to new one if possible and delete old one. """ if os.path.exists(SSA_DB): # Closing all sessions to ensure that no sessions is using database during replacing close_all_sessions() os.replace(SSA_DB, OLD_SSA_DB) new_engine = setup_database() # Dispose of the existing engine to close and refresh all connections, ensuring it connects to the new database engine.dispose() old_engine = create_engine(f'sqlite:////{OLD_SSA_DB}') try: with session_scope(old_engine) as session_old, session_scope(new_engine) as session_new: # Check if old database is able to read and it make sense to try save unharmed data session_old.query(RequestResult).first() merge_unharmed_data_from_database(session_old, session_new) except DatabaseError: pass for path in (OLD_SSA_DB, SSA_DB + "-wal", SSA_DB + "-shm"): if os.path.exists(path): os.remove(path) def merge_unharmed_data_from_database(session_old, session_new): """ Scrape all unharmed records from malformed database and merge them into new database. """ offset = 0 batch_size = 10 while True: query = session_old.query(RequestResult).offset(offset).limit(batch_size) try: records_to_save = query.all() if not records_to_save: break for record in records_to_save: session_new.merge(record) except DatabaseError: for pos_in_batch in range(batch_size): try: record_to_save = query.offset(offset + pos_in_batch).first() if not record_to_save: break session_new.merge(record_to_save) except DatabaseError: pass session_new.commit() offset += batch_size def is_malformed_database(engine): """ Try integrity check of database file to see if it is malformed. If database unable to execute it, will also count as malformed. """ if os.path.exists(OLD_SSA_DB) and os.path.exists(SSA_DB): os.remove(OLD_SSA_DB) try: with session_scope(engine) as db: result = db.execute(text("PRAGMA integrity_check")) errors = result.fetchall() return errors[0][0] != 'ok' except DatabaseError: return True @contextlib.contextmanager def session_scope(engine) -> Session: """ Provide a transactional scope around a series of operations. """ session = Session(bind=engine) try: yield session session.commit() except: session.rollback() raise finally: session.close() Back

Edit File : db.py | Size : 8.22 KB

#!/opt/cloudlinux/venv/bin/python3 -sbb
# coding=utf-8
#
# Copyright © Cloud Linux GmbH & Cloud Linux Software, Inc 2010-2020 All Rights Reserved
#
# Licensed under CLOUD LINUX LICENSE AGREEMENT
# http://cloudlinux.com/docs/LICENCE.TXT
#

import os
import contextlib
import sqlite3
import logging

from datetime import datetime, timedelta
from sqlalchemy import (
    Column,
    Boolean,
    DateTime,
    Integer,
    String,
    create_engine,
    event, func, text
)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.engine.reflection import Inspector
from sqlalchemy.orm import Session
from sqlalchemy.orm.session import close_all_sessions
from sqlalchemy.exc import DatabaseError

SSA_DB = '/var/lve/ssa.db'
OLD_SSA_DB = SSA_DB + '.old'
RETENTION_TIME_DAYS = 1

Base = declarative_base()

logger = logging.getLogger("cleanup_old_data")

class RequestResult(Base):
    """
    Describes processed request stored in database file.

E.g.
    {
        "timestamp": "1650008727",
        "url": "http://mydomain.com/index.php",
        "duration": 162077,
        "hitting_limits": false,
        "throttled_time": 0,
        "io_throttled_time": 0,
        "wordpress": true
    }

Note: created_at, updated_at is saved in local TZ format
    """
    __tablename__ = 'scrape_result'

id = Column(Integer, primary_key=True)

domain = Column(String, index=True, nullable=False)
    path = Column(String, index=True, nullable=False)

timestamp = Column(Integer, nullable=False)

duration = Column(Integer, nullable=False)
    is_slow_request = Column(Boolean, nullable=False)
    hitting_limits = Column(Boolean, nullable=False)
    throttled_time = Column(Integer, nullable=False)
    io_throttled_time = Column(Integer, nullable=False)
    wordpress = Column(Boolean, nullable=False)

# Index on created_at speeds up cleanup_old_data queries significantly
    created_at = Column(DateTime(timezone=True), server_default=func.now(), index=True)
    updated_at = Column(DateTime(timezone=True), onupdate=func.now(), server_default=func.now())

def cleanup_old_data(engine, batch_size=10000):
    """
    Removes outdated records from database, saving disk space.
    Deletions are batched to avoid loading the entire database into
    the cgroup's page cache, which causes OOM on large databases.
    Runs VACUUM after deletion to reclaim disk space.
    """
    n_days_ago = datetime.today() - timedelta(days=RETENTION_TIME_DAYS)
    total_deleted = 0
    while True:
        with session_scope(engine) as session:
            result = session.execute(text(
                "DELETE FROM scrape_result WHERE rowid IN "
                "(SELECT rowid FROM scrape_result WHERE created_at < :cutoff LIMIT :batch)"
            ), {"cutoff": n_days_ago, "batch": batch_size})
            deleted = result.rowcount
            total_deleted += deleted
            if deleted == 0:
                break
    logger.info("Cleanup deleted %d old records", total_deleted)
    vacuum_database(engine)

def vacuum_database(engine):
    """
    Run VACUUM command to reclaim disk space after deletions.
    VACUUM must be run outside of a transaction, so we use raw connection.

SQLite VACUUM creates a full temporary copy of the database.
    By default, the temp file goes to /var/tmp or /tmp which may be
    tmpfs (RAM-backed). On systems with MemoryMax cgroup limits
    (like ssa-agent.service), this causes OOM kills for large databases.
    Setting temp_store_directory to the database's own directory ensures
    the temp file is written to disk, not RAM.
    """
    # Get a raw connection from the pool
    raw_conn = engine.raw_connection()
    original_isolation_level = raw_conn.isolation_level
    
    try:
        raw_conn.isolation_level = None
        cursor = raw_conn.cursor()
        
        # Determine and check the directory
        db_dir = os.path.dirname(os.path.abspath(SSA_DB))
        
        if os.access(db_dir, os.W_OK):
            cursor.execute(f"PRAGMA temp_store_directory = '{db_dir}'")
            logger.info(f"Set SQLite temp_store_directory to: {db_dir}")
        else:
            logger.warning(f"Directory {db_dir} not writable. VACUUM will use default /var/tmp.")

logger.info("Starting VACUUM operation...")
        cursor.execute("VACUUM")
        logger.info("VACUUM completed successfully.")
        
        cursor.close()
    except Exception as e:
        logger.error(f"VACUUM failed: {str(e)}")
    finally:
        raw_conn.isolation_level = original_isolation_level
        raw_conn.close()

def create_db_if_not_exist(engine):
    if not is_db_present(engine):
        Base.metadata.create_all(engine)

def is_db_present(engine):
    if not os.path.isfile(SSA_DB):
        return False
    database_inspection = Inspector.from_engine(engine)
    tables = [table for table in database_inspection.get_table_names()]
    return len(tables) > 0

def setup_wal_mode(dbapi_con, con_record):
    dbapi_con.execute('PRAGMA journal_mode = WAL')

def _setup_database(readonly):
    connection_string = f'file:{SSA_DB}'
    if readonly:
        connection_string = f'{connection_string}?mode=ro'
    creator = lambda: sqlite3.connect(connection_string, uri=True)
    engine = create_engine(
        'sqlite:////', creator=creator, echo=False,
    )
    event.listen(engine, 'connect', setup_wal_mode)
    create_db_if_not_exist(engine)
    return engine

def setup_database(readonly=False):
    return _setup_database(readonly)

def restore_database(engine):
    """
    Restore database by establish connections to old and new databases,
    merge data to new one if possible and delete old one.
    """
    if os.path.exists(SSA_DB):
        # Closing all sessions to ensure that no sessions is using database during replacing
        close_all_sessions()
        os.replace(SSA_DB, OLD_SSA_DB)

new_engine = setup_database()
    # Dispose of the existing engine to close and refresh all connections, ensuring it connects to the new database
    engine.dispose()
    old_engine = create_engine(f'sqlite:////{OLD_SSA_DB}')

try:
        with session_scope(old_engine) as session_old, session_scope(new_engine) as session_new:
            # Check if old database is able to read and it make sense to try save unharmed data
            session_old.query(RequestResult).first()
            merge_unharmed_data_from_database(session_old, session_new)
    except DatabaseError:
        pass

for path in (OLD_SSA_DB, SSA_DB + "-wal", SSA_DB + "-shm"):
        if os.path.exists(path):
            os.remove(path)

def merge_unharmed_data_from_database(session_old, session_new):
    """
    Scrape all unharmed records from malformed database and merge them into new database.
    """
    offset = 0
    batch_size = 10
    while True:
        query = session_old.query(RequestResult).offset(offset).limit(batch_size)
        try:
            records_to_save = query.all()
            if not records_to_save:
                break
            for record in records_to_save:
                session_new.merge(record)
        except DatabaseError:
            for pos_in_batch in range(batch_size):
                try:
                    record_to_save = query.offset(offset + pos_in_batch).first()
                    if not record_to_save:
                        break
                    session_new.merge(record_to_save)
                except DatabaseError:
                    pass
        session_new.commit()
        offset += batch_size

def is_malformed_database(engine):
    """
    Try integrity check of database file to see if it is malformed.
    If database unable to execute it, will also count as malformed.
    """
    if os.path.exists(OLD_SSA_DB) and os.path.exists(SSA_DB):
        os.remove(OLD_SSA_DB)
    try:
        with session_scope(engine) as db:
            result = db.execute(text("PRAGMA integrity_check"))
            errors = result.fetchall()
            return errors[0][0] != 'ok'
    except DatabaseError:
        return True

@contextlib.contextmanager
def session_scope(engine) -> Session:
    """
    Provide a transactional scope around a series of operations.
    """
    session = Session(bind=engine)
    try:
        yield session
        session.commit()
    except:
        session.rollback()
        raise
    finally:
        session.close()

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