Analyzing Wait Stats with DMVs
high CPU wait times. 5.2 Common Performance Problems Indicated by Wait Stats 5.3 Correlating Wait Stats with SQL Server Performance Metrics By combining wait stats data with performance metrics such….
Tag: Blocking
Blocking and Deadlock Detection
deadlocks. 9.3 Implementing Application-Level Solutions Implementing appropriate error handling and retry mechanisms in the application can mitigate the impact of blocking and deadlocks. 9.4 Using SQL Server Resource Management Features….
Multiprocessing queue not responding
When using Python’s multiprocessing.Queue, sometimes the queue stops responding or deadlocks. This usually happens due to improper synchronization, processes not terminating, or data not being flushed properly. 1. Common Causes….
Process still running after termination request
If a process is still running after a termination request, it could be due to several reasons. Below are common causes and solutions: Common Causes and Solutions 1. Process Not….
RuntimeError: calling start() on an already running thread
This error occurs when you attempt to call .start() on a thread that is already running. In Python, a thread can be started only once, and trying to restart an….
RuntimeError: threads can only be started once
This error occurs when you try to start a Python thread more than once using the threading module. A thread can only be started once, and attempting to restart an….
Running out of stack space due to deep recursion
When a function calls itself too many times without a proper exit condition, it leads to stack overflow, causing the error: RecursionError: maximum recursion depth exceeded 1. Causes of Deep….
Too many open file handles
When your Python program opens too many files without closing them properly, it exceeds the system limit, leading to the error: OSError: [Errno 24] Too many open files or IOError:….
Garbage collection not freeing memory
Garbage collection (GC) in Python automatically frees up memory when objects are no longer needed. However, in some cases, memory is not released as expected. This can cause high memory….
MemoryError: out of memory while creating large objects
The error MemoryError: out of memory while creating large objects occurs when Python runs out of RAM while trying to allocate a large amount of memory for an object. This….