loggingd | Logging framework using decorators
kandi X-RAY | loggingd Summary
kandi X-RAY | loggingd Summary
Loggingd is a logging framework based on decorated.
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Top functions reviewed by kandi - BETA
- Load configuration from a YAML configuration file
- Create a logging handler
- Return an object from a dotted path
- Log an event
- Evaluate the expression
- Logs the result
- Log the given ret
- Logs an error
loggingd Key Features
loggingd Examples and Code Snippets
Community Discussions
Trending Discussions on loggingd
QUESTION
i am not able to get my required columns using $project. My query is
...ANSWER
Answered 2019-Oct-24 at 14:09db.RecordLogs.aggregate([
{$match: {
$and: [
{EmployeeId : 190192},{LoggingDate : {
'$gte': ISODate("2019-06-15T04:00:00.000Z"),
'$lte': ISODate("2019-06-16T03:59:59.999Z")
}}]
}},
{$group: {
_id : {
Appname :"$AppName"
},
"EmployeeName": { "$first": "$EmployeeName"},
"AgentId": { "$first": "$AgentId"},
count : {"$sum":1}}},
{$limit: 10}
])
QUESTION
I wrote a sql query to get all records happen in specific month
...ANSWER
Answered 2017-Sep-06 at 11:53This is a standard problem where a calendar table comes in handy. A calendar table, as the name implies, is a table which just stores a sequence of dates. In your particular case, we only need the digits corresponding to the 12 months. Begin the query with the calendar table and then left join to your aggregation query as a subquery.
Note the use of COALESCE
below. If a given month appears nowhere in your original query, then its count would show up as NULL
in the join, in which case we report zero for that month.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install loggingd
You can use loggingd like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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