1# Blocking the Log Processing Thread 2 3## Overview 4 5When the core log buffer becomes full, the logging subsystem can be configured to 6 7* Drop older log messages with `CONFIG_LOG_MODE_OVERFLOW=y` (**default**) 8* Drop newer log messages with `CONFIG_LOG_MODE_OVERFLOW=n`, or 9* Drop no log messages at all with `CONFIG_LOG_BLOCK_IN_THREAD=y`, `CONFIG_LOG_BLOCK_IN_THREAD_TIMEOUT_MS=-1`. 10 11In the last configuration, the log processing thread will block until space 12becomes available again in the core log buffer. 13 14> Warning ⚠️: Blocking the log processing thread is generally not recommended 15> and should only be attempted in advanced use cases. 16 17## Logging and Flow Rates 18 19There are roughly 4 scenarios we care about testing with 20`CONFIG_LOG_BLOCK_IN_THREAD`, and they can all be characterized by comparing 21log message flow rates. Typically, one would describe log message flow rates 22with units such as `[msg/s]`. However, in the table below, we are mainly 23concerned with the ratio of the Output Rate to the Input Rate, and in that 24case, the units themselves cancel-out. In the table we assume there exists an 25`N` such that `N > 1`. 26 27| Name | Input Rate | Output Rate | Rate | 28|----------------|------------|-------------|------| 29| Input-Limited | 1 | N | 1 | 30| Matched | 1 | 1 | 1 | 31| Output-Limited | 1 | 1/N | 1/N | 32| Stalled | 0 | 0 | 0 | 33 34The resultant _Rate_ is always `Rate = MIN(Input Rate, Output Rate)`. 35 36Rate-limiting of any kind can be described approximately as _back pressure_. 37Back pressure is fine in short bursts but it can cause delays in application 38and driver code if the pressure is not relieved promptly. 39 40## Physical Sources of Backpressure 41 42Many log backends, such as UARTs, have a built-in hardware FIFO that 43inherently provides back-pressure; output log processing is rate-limited 44based on the baud rate of the UART. Other backends, such as UDP sockets or 45DMA, can provide significantly higher throughput but are still inherently 46rate-limited by the physical layer over which they operate, be it Gigabit 47Ethernet or PCI express. 48 49Even a trivial _message source_ or _message sink_ is still rate-limited by 50memory or the CPU. From that perspective, we can infer that there is a finite 51limit in the log processing rate for practical systems. That may be 52comforting to know, even if it is something astronomical like 1G `[msg/s]`. 53 54## Input-Limited Log Rate 55 56The ideal scenario is when the output "bandwidth" exceeds the input rate. If 57so configured, we minimize the liklihood that the log processing thread will 58stall. We can also be sure that the output will be able to relieve 59backpressure (i.e. the core log buffer usage will tend to zero over time). 60 61## Rate-Matched Input and Output 62 63When the input rate and output rates are equal, one might think this is the 64ideal scenario. In reality, it is not. The rates could be matched, but a 65sustained increase (or several small increases) in the input log rate, could 66cause the core log buffer to approach 100% capacity. Since the output log rate 67is still only matched with the input log rate, the core log buffer capacity 68would not decrease from 100%, and it would remain saturated. 69 70Logging has a tendency to be bursty, so it is definitely preferable to 71operate in the _Input-limited Log Rate_ regime. 72 73## Output-Limited Log Rate 74 75If the rate of output processing is less than the rate of input processing, 76the core log buffer will approach 100% capacity and, eventually, stall the 77log processing thread. 78 79## Stalling the Log Processing Thread 80 81When any log backend is unable to process logs for whatever reason, 82the output rate approaches 0 `[msg/s]`. If application or 83driver code continue to submit logs, the core log buffer approaches 100% 84capacity. Once the core log buffer is full, the log processing thread is 85unable to allocate new log messages and it will be stalled. 86 87Stalling a real-time application produces unexpected behaviour, so it is 88advised to avoid this for any non-negligible amount of time. 89 90It is absolutely critical that the log backend is capable of operating 91correctly _even when the log processing thread is blocking_ in order to 92automatically recover from a stall. 93 94On a live system, it may be necessary to manually perform remediation of log 95backends that are unable to recover from stalling the log processing thread. 96Remediation could involve disabling the log backend and freeing any in-use 97buffers. 98