出于某种原因，以下堆栈跟踪首先在开始过程后大约16小时或更长时间后出现，然后在每小时或两个小时后出现。我在每天，每小时和每隔几分钟的其他服务器上还有其他工作，他们没有得到此堆栈跟踪。我唯一可以看到的是，此代码每个调度程序都有多个作业，而其他代码则没有。
堆栈跟踪：
Traceback (most recent call last):
File "app.py", line 24, in _run_client
h.run_hourly(start, end)
File "/home/foo/anaconda2/lib/python2.7/site-packages/foo/client/bar/helper.py", line 153, in run_hourly
_run(_HOURLY_REQUEST, frequency, start, end, duration)
File "/home/foo/anaconda2/lib/python2.7/site-packages/foo/client/bar/helper.py", line 117, in _run
bars = dr.get_bars(frequency)
File "/home/foo/anaconda2/lib/python2.7/site-packages/foo/client/bar/data_requests.py", line 35, in get_bars
df = pd.read_sql(query, _ENGINE, params=params)
File "/home/foo/anaconda2/lib/python2.7/site-packages/pandas/io/sql.py", line 415, in read_sql
chunksize=chunksize)
File "/home/foo/anaconda2/lib/python2.7/site-packages/pandas/io/sql.py", line 1084, in read_query
result = self.execute(*args)
File "/home/foo/anaconda2/lib/python2.7/site-packages/pandas/io/sql.py", line 975, in execute
return self.connectable.execute(*args, **kwargs)
File "/home/foo/anaconda2/lib/python2.7/site-packages/sqlalchemy/engine/base.py", line 2055, in execute
return connection.execute(statement, *multiparams, **params)
File "/home/foo/anaconda2/lib/python2.7/site-packages/sqlalchemy/engine/base.py", line 945, in execute
return meth(self, multiparams, params)
File "/home/foo/anaconda2/lib/python2.7/site-packages/sqlalchemy/sql/elements.py", line 263, in _execute_on_connection
return connection._execute_clauseelement(self, multiparams, params)
File "/home/foo/anaconda2/lib/python2.7/site-packages/sqlalchemy/engine/base.py", line 1053, in _execute_clauseelement
compiled_sql, distilled_params
File "/home/foo/anaconda2/lib/python2.7/site-packages/sqlalchemy/engine/base.py", line 1189, in _execute_context
context)
File "/home/foo/anaconda2/lib/python2.7/site-packages/sqlalchemy/engine/base.py", line 1386, in _handle_dbapi_exception
self._autorollback()
File "/home/foo/anaconda2/lib/python2.7/site-packages/sqlalchemy/engine/base.py", line 824, in _autorollback
self._root._rollback_impl()
File "/home/foo/anaconda2/lib/python2.7/site-packages/sqlalchemy/engine/base.py", line 703, in _rollback_impl
self._handle_dbapi_exception(e, None, None, None, None)
File "/home/foo/anaconda2/lib/python2.7/site-packages/sqlalchemy/engine/base.py", line 1315, in _handle_dbapi_exception
exc_info
File "/home/foo/anaconda2/lib/python2.7/site-packages/sqlalchemy/util/compat.py", line 202, in raise_from_cause
reraise(type(exception), exception, tb=exc_tb, cause=cause)
File "/home/foo/anaconda2/lib/python2.7/site-packages/sqlalchemy/engine/base.py", line 701, in _rollback_impl
self.engine.dialect.do_rollback(self.connection)
File "/home/foo/anaconda2/lib/python2.7/site-packages/sqlalchemy/engine/default.py", line 439, in do_rollback
dbapi_connection.rollback()
DBAPIError: (pyodbc.Error) ('08S01', '[08S01] [FreeTDS][SQL Server]Write to the server failed (20006) (SQLEndTran)')
服务器与下面提到的版本有关。
版本：
OS：Ubuntu 16.04.1
freetds软件包版本：freetds-common：0.91-6.1build1，tdsodbc：amd64：0.91-6.1build1PyodBC：3.0.10
SQL炼金术：1.1.4
TSQL输出：
Compile-time settings (established with the "configure" script)
Version: freetds v0.91
freetds.conf directory: /etc/freetds
MS db-lib source compatibility: no
Sybase binary compatibility: yes
Thread safety: yes
iconv library: yes
TDS version: 4.2
iODBC: no
unixodbc: yes
SSPI "trusted" logins: no
Kerberos: yes
测试代码：
app.py
from datetime import datetime, timedelta
from dateutil import relativedelta
import traceback
from apscheduler.schedulers.blocking import BlockingScheduler
from bar import helper as h
def _run_client(resolution):
try:
if resolution == "hourly":
# Had to create a temporary variable to make native datetimes
t = datetime.utcnow() - timedelta(hours=1)
end = datetime(t.year, t.month, t.day, t.hour)
start = end - timedelta(hours=1)
h.run_hourly(start, end)
elif resolution == "daily":
# Had to create a temporary variable to make native datetimes
t = datetime.utcnow().date() - timedelta(days=1)
end = datetime(t.year, t.month, t.day)
start = end - timedelta(days=1)
h.run_daily(start, end)
else:
# Had to create a temporary variable to make native datetimes
t = datetime.utcnow().date().replace(
day=1) - relativedelta.relativedelta(months=1)
end = datetime(t.year, t.month, t.day)
start = end - relativedelta.relativedelta(months=1)
h.run_monthly(start, end)
except:
print "Current run failed:n%s" % traceback.format_exc()
def _get_hourly_job(sched):
args = ["hourly"]
job = sched.add_job(_run_client, args=args, trigger="cron", hour="*", minute="0")
return job
def _get_daily_job(sched):
args = ["daily"]
job = sched.add_job(_run_client, args=args, trigger="cron", hour="4", minute="0")
return job
def _get_monthly_job(sched):
args = ["monthly"]
job = sched.add_job(_run_client, args=args, trigger="cron", day="1", hour="0", minute="0")
return job
if __name__ == "__main__":
sched = BlockingScheduler()
hourly_job = _get_hourly_job(sched)
daily_job = _get_daily_job(sched)
monthly_job = _get_monthly_job(sched)
try:
sched.start()
except:
# Remove the jobs from memory since they finished
hourly_job.remove()
daily_job.remove()
monthly_job.remove()
sched.shutdown()
helper.py
from datetime import timedelta
import data_requests as dr
_HOURLY_REQUEST = Foo()
_HOURLY_REQUEST.resolution = "hourly"
_DAILY_REQUEST = Foo()
_DAILY_REQUEST.resolution = "daily"
_MONTHLY_REQUEST = Foo()
_MONTHLY_REQUEST.resolution = "monthly"
def _run(request, frequency, start, end, duration):
bars = dr.get_bars(frequency)
if bars.empty:
return None
print "Bars = %i" % len(bars)
def run_daily(start, end):
frequency = 86400
duration = timedelta(hours=4)
_run(_DAILY_REQUEST, frequency, start, end, duration)
def run_hourly(start, end):
frequency = 3600
duration = timedelta(minutes=30)
_run(_HOURLY_REQUEST, frequency, start, end, duration)
def run_monthly(start, end):
frequency = 1209600
duration = timedelta(days=1)
_run(_MONTHLY_REQUEST, frequency, start, end, duration)
data_requests.py
import pandas as pd
from sqlalchemy import create_engine, exc
from sqlalchemy.sql import text
_DB = "mssql+pyodbc://foo@stg-foo:FooBar@stg-foo.database.secure.windows.net:1433/foo?driver=/usr/lib/x86_64-linux-gnu/odbc/libtdsodbc.so&tds_version=7.2"
_ENGINE = create_engine(_DB)
def get_bars(frequency):
query = text("""SELECT h.foo_id, s.id AS bar_id, u.timezone
FROM foo h
INNER JOIN bar s ON h.foo_id = s.foo_id
AND s.frequency <= :frequency
INNER JOIN test u ON u.id = h.test_id""")
params = {
"frequency": int(frequency)
}
try:
df = pd.read_sql(query, _ENGINE, params=params)
except exc.DBAPIError, e:
# If connection is invalid (e.g. database restarted) execute the query
# again
if e.connection_invalidated:
df = pd.read_sql(query, _ENGINE, params=params)
else:
raise e
return df
我尝试了pymssql，但是使用最新版本（2.1.3，freetds版本1.00.9）的segfault，而pyodbc则没有。我认为这是一个驾驶员问题，但是正在尝试解决问题的问题。
此外，我遵循了SQL Alchemy关于如何处理连接连接的文档，但要看堆栈跟踪，它似乎并没有达到逻辑。相反，它击中了其他块并增加了错误。
我发现了错误的原因。毕竟这似乎是一个编码问题。花了很长时间才弄清楚，但这与我与大熊猫打来电话有关。显然，传递引擎实例时，熊猫似乎并没有关闭连接。这是我用来解决该问题的代码。
def _get_df(query, params=None):
try:
with _ENGINE.begin() as conn:
df = pd.read_sql(query, conn, params=params)
except exc.DBAPIError, e:
# If connection is invalid (e.g. database restarted) execute the query
# again
if e.connection_invalidated:
with _ENGINE.begin() as conn:
df = pd.read_sql(query, conn, params=params)
else:
raise e
return df