Hybris在运行状态下的业务流程(Hybris business process in running state)
订单确认电子邮件在下订单后没有被触发。 看看订单的业务流程，它们都没有被触发。
我检查的事物：
- 重新启动管理节点
- 删除处于运行状态的所有业务流程
- 在热文件夹中查找任何失败的提要
- 在Hybris线程转储中搜索TaskExecutor-master - 找出哪个部分导致问题，没有找到。
- task.engine.loadonstartup = false。
以上都没有奏效。
请帮我解决这个问题。
The order confirmation email did not get triggered after placing an order. Looking at the business processes for the order, none of them got triggered.
Things I check-listed:
- Restarted admin node
- Deleted all business processes that are in running state
- Looked for any failed feed in the hot folder
- Had a search for TaskExecutor-master in Hybris thread dumps - to identify which part is causing an issue, none found.
- The task.engine.loadonstartup = false.
None of the above worked.
Please help me resolve this issue.
原文：https://stackoverflow.com/questions/48182733
更新时间：2023-09-24 11:09
最满意答案
如果两个
DataFrames中没有其他相同的列名作为连接列（如果不在on='date'），则可以省略使用map或merge，on：print (df1) date 0 2016-11-01 1 2016-11-02 2 2016-11-03 3 2016-11-04 4 2016-11-05 5 2016-11-06 print (df2) date val 0 2016-11-02 55 1 2016-11-04 34 2 2016-11-06 21 df1['val'] = df1.date.map(df2.set_index('date')['val']) print (df1) date val 0 2016-11-01 NaN 1 2016-11-02 55.0 2 2016-11-03 NaN 3 2016-11-04 34.0 4 2016-11-05 NaN 5 2016-11-06 21.0
df = pd.merge(df1, df2, how='left') print (df) date val 0 2016-11-01 NaN 1 2016-11-02 55.0 2 2016-11-03 NaN 3 2016-11-04 34.0 4 2016-11-05 NaN 5 2016-11-06 21.0You can use
mapormerge,oncan be omited if there are no other same column names in bothDataFramesas joining columns (if not useon='date'):print (df1) date 0 2016-11-01 1 2016-11-02 2 2016-11-03 3 2016-11-04 4 2016-11-05 5 2016-11-06 print (df2) date val 0 2016-11-02 55 1 2016-11-04 34 2 2016-11-06 21 df1['val'] = df1.date.map(df2.set_index('date')['val']) print (df1) date val 0 2016-11-01 NaN 1 2016-11-02 55.0 2 2016-11-03 NaN 3 2016-11-04 34.0 4 2016-11-05 NaN 5 2016-11-06 21.0
df = pd.merge(df1, df2, how='left') print (df) date val 0 2016-11-01 NaN 1 2016-11-02 55.0 2 2016-11-03 NaN 3 2016-11-04 34.0 4 2016-11-05 NaN 5 2016-11-06 21.0
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