我正在使用 sqlalchemy 写入 mysql 数据库，我在其中索引一些文件并存储它们的内容。我需要写入文件，然后将具有外键的索引条目写入 files 表。但是，sqlalchemy 似乎乱序发出了 INSERT 语句。
这是一个使用模拟随机数据(减去包含服务器特定信息的配置文件)说明问题的最小功能示例:
索引/ORM.py:
#!/bin/env python2.7
from __future__ import print_function
import os
from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.dialects.mysql import LONGBLOB, INTEGER
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship, sessionmaker
from sqlalchemy import create_engine
from Index import load_cfg
class Base(object):
"""
Basic MySQL table settings
"""
__table_args__ = {
'mysql_engine': 'InnoDB',
'mysql_collate': 'latin1_general_cs'
}
Base = declarative_base(cls=Base)
class CoverageIndex(Base):
"""
Class for coverage_index table objects
"""
__tablename__ = 'coverage_index'
filename = Column(String(45), primary_key=True)
#filename = Column(String(45), ForeignKey("files.filename"), primary_key=True)
sequence_id = Column(String(45), primary_key=True, index=True)
def __init__(self, filename, sequence_id):
self.filename = filename
self.sequence_id = sequence_id
class FileRow(Base):
"""
Class for files stored in db
"""
__tablename__ = 'files'
filename = Column(String(45), primary_key=True)
contents = Column(LONGBLOB)
def __init__(self, filename, contents):
self.filename = filename
self.contents = contents
cfg = load_cfg()
db_string = 'mysql://%(user)s:%(passwd)s@%(host)s/%(db)s' % cfg['db_config']
engine = create_engine(db_string, echo=True)
Base.metadata.create_all(engine)
if __name__ == '__main__':
pass
索引.py:
#!/usr/bin/env python2.7
from __future__ import print_function
import os
import sys
from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.orm import sessionmaker
from sqlalchemy import create_engine
from sqlalchemy.exc import IntegrityError
from Index.ORM import Base, CoverageIndex, FileRow, engine as db_engine
if __name__ == '__main__':
import string, random
data = {}
for i in range(0,10):
file = 'file' + str(i)
data[file] = {
'seqs': ['seqa' + str(i), 'seqb' + str(i)],
'contents': '\n'.join([''.join([random.choice(string.letters) for x in range (0, 80)]) for y in range (0, 2500)])}
#print (data)
Base.metadata.bind = db_engine
DBSession = sessionmaker(bind=db_engine)
session = DBSession()
for file, datum in data.iteritems():
file_query = session.query(FileRow).filter(FileRow.filename == file)
if file_query.count() > 0:
session.query(CoverageIndex).filter(CoverageIndex.filename == file).delete(synchronize_session='fetch')
file_query.delete(synchronize_session='fetch')
for i in datum['seqs']:
# Write to DB
fqc = file_query.count()
print ("No. of files: " + str(fqc))
if fqc == 0:
print ("Adding: ")
fr = FileRow(
filename = file,
contents = datum['contents']
)
session.add(fr)
cov = CoverageIndex(
filename = file,
sequence_id = i)
session.add(cov)
try:
session.commit()
except:
#print ("SQL Commit Failed: %s" % file)
session.rollback()
session.close()
raise
session.close()
这是一次运行的输出的一部分。我想提请您注意 2018-03-13 16:05:40,291 和 ...,292 行:
...
2018-03-13 16:05:40,287 INFO sqlalchemy.engine.base.Engine BEGIN (implicit)
2018-03-13 16:05:40,288 INFO sqlalchemy.engine.base.Engine SELECT count(*) AS count_1
FROM (SELECT files.filename AS files_filename, files.contents AS files_contents
FROM files
WHERE files.filename = %s) AS anon_1
2018-03-13 16:05:40,288 INFO sqlalchemy.engine.base.Engine ('file1',)
2018-03-13 16:05:40,290 INFO sqlalchemy.engine.base.Engine SELECT count(*) AS count_1
FROM (SELECT files.filename AS files_filename, files.contents AS files_contents
FROM files
WHERE files.filename = %s) AS anon_1
2018-03-13 16:05:40,290 INFO sqlalchemy.engine.base.Engine ('file1',)
No. of files: 0
Adding:
2018-03-13 16:05:40,291 INFO sqlalchemy.engine.base.Engine INSERT INTO coverage_index (filename, sequence_id) VALUES (%s, %s)
2018-03-13 16:05:40,291 INFO sqlalchemy.engine.base.Engine ('file1', 'seqa1')
2018-03-13 16:05:40,292 INFO sqlalchemy.engine.base.Engine INSERT INTO files (filename, contents) VALUES (%s, %s)
2018-03-13 16:05:40,292 INFO sqlalchemy.engine.base.Engine ('file1', 'BkTsRJTcNEigPFjofFxDmwVZDXRAsPECawRUjiFZTDGWWoLZzLnGlCwQQeAFyXhLqKjPAJmme
mFNfVzF\nJlZSvwGAdoImTnBAmcrSdMRDvxNYnnMfbQXdfuXulqufiIYpqjFUgfElZSrVkvBvPTg ... (204700 characters truncated) ... trwtYOycEOuDTVxsXeGoNYKAqHlE
LGPqcimwzwAFAEsCZGBBnGzYMHgabgnGZaGmQsn\nSNjYvBwSVdXVKbmJpKdSHSXCDKKvDlkyLxOxsEfOtmlCRruqzaiPhYRocKZQEJSVrtSHncFMBMTEpWUX')
2018-03-13 16:05:40,310 INFO sqlalchemy.engine.base.Engine SELECT count(*) AS count_1
FROM (SELECT files.filename AS files_filename, files.contents AS files_contents
FROM files
WHERE files.filename = %s) AS anon_1
2018-03-13 16:05:40,310 INFO sqlalchemy.engine.base.Engine ('file1',)
No. of files: 1
2018-03-13 16:05:40,311 INFO sqlalchemy.engine.base.Engine INSERT INTO coverage_index (filename, sequence_id) VALUES (%s, %s)
2018-03-13 16:05:40,311 INFO sqlalchemy.engine.base.Engine ('file1', 'seqb1')
2018-03-13 16:05:40,312 INFO sqlalchemy.engine.base.Engine COMMIT
...
在这里，您可以看到 sqlalchemy 在插入 files 对象之前插入了 coverage_index 。我推测这是因为 files 对象要大得多并且需要一些时间来准备，所以引擎决定先异步运行后面的 INSERT。
但是，需要先插入files条目，因为coverage_index中的filename应该是files<的外键。 (如果我在定义外键约束的情况下这样做，它会抛出异常)
我知道我可以在添加到 files 之后提交，但我更喜欢 files 和 coverage_index INSERT 在同一个事务中，所以它们保持同步。
那么问题来了，有没有办法强制sqlalchemy在一个事务中同步执行呢？
最佳答案
不确定这是否是最好的方法，但它似乎实现了我的目标:
Flush all the object changes to the database.
Writes out all pending object creations, deletions and modifications to the database as INSERTs, DELETEs, UPDATEs, etc. Operations are automatically ordered by the Session’s unit of work dependency solver.
Database operations will be issued in the current transactional context and do not affect the state of the transaction, unless an error occurs, in which case the entire transaction is rolled back. You may flush() as often as you like within a transaction to move changes from Python to the database’s transaction buffer
感谢:
Is SQLAlchemy saves order in adding objects to session?
http://www.aosabook.org/en/sqlalchemy.html - 第 20.9 节工作单元
关于python - INSERT 命令不按顺序使用 sqlalchemy 和 mysql 大行，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/49267511/