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- App must target Android 15 (API level 35) or higher
Open the app level build gradle or build gradle kts file (ie, inside the app directory) And change compileSdkVersion and targetSdkVersion to 35 or higher In build gradle (Groovy): android { compileSdkVersion 35 defaultConfig { targetSdkVersion 35 Change this to 35 or higher } } In build gradle kts (Kotlin):
- How can I set the logging level with application. properties?
Then you can set the logging level for classes inside your project as given below in application properties files logging level com company myproject = DEBUG logging level org springframework web = DEBUG and logging level org hibernate = DEBUG will set logging level for classes of Spring framework web and Hibernate only
- Isolation Level - Serializable. When should I use this?
The SERIALIZABLE isolation level is the highest isolation level based on pessimistic concurrency control where transactions are completely isolated from one another The ANSI ISO standard SQL 92 covers the following read phenomena when one transaction reads data, which is changed by second transaction: dirty reads; non-repeatable reads; phantom
- Why use a READ UNCOMMITTED isolation level? - Stack Overflow
This isolation level allows dirty reads One transaction may see uncommitted changes made by some other transaction To maintain the highest level of isolation, a DBMS usually acquires locks on data, which may result in a loss of concurrency and a high locking overhead This isolation level relaxes this property
- WITH (NOLOCK) vs SET TRANSACTION ISOLATION LEVEL READ UNCOMMITTED
They are the same thing If you use the set transaction isolation level statement, it will apply to all the tables in the connection, so if you only want a nolock on one or two tables use that; otherwise use the other Both will give you dirty reads If you are okay with that, then use them
- sql - How to find current transaction level? - Stack Overflow
Also keep in mind DBCC USEROPTIONS is an awesome option for finding your SESSION'S isolation level, but it can be tricky - if your code changes the isolation level per transaction, those periods of time where the isolation level is different from the session default can be hard to capture
- How to add a custom loglevel to Pythons logging facility
import logging from functools import partial, partialmethod def add_logging_level(level_name, level_num, method_name=None): """ Comprehensively adds a new logging level to the `logging` module and the currently configured logging class `level_name` becomes an attribute of the `logging` module with the value `level_num`
- Pandas: drop a level from a multi-level column index?
This is a nice solution if you want to slice and drop for the same level If you wanted to slice on the second level (say b) then drop that level and be left with the first level (a), the following would work: df = df xs('b', axis=1, level=1, drop_level=True) –
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