[Support]: Too many unprocessed recording segments in cache for xxxx #20457

devdems · 2025-10-13T10:04:01Z

devdems
Oct 13, 2025

Checklist

I have updated to the latest available Frigate version.
I have cleared the cache of my browser.
I have tried a different browser to see if it is related to my browser.
I have tried reproducing the issue in incognito mode to rule out problems with any third party extensions or plugins I have installed.
I have asked the AI at https://docs.frigate.video about my issue.

Describe the problem you are having

I'm geting those errors after some days of running frigate:

Too many unprocessed recording segments in cache for garage_down. This likely indicates an issue with the detect stream, keeping the 6 most recent segments out of 7 and discarding the rest...

Steps to reproduce

Running Frigate couple of days

Version

frigate:0.16.0-tensorrt

In which browser(s) are you experiencing the issue with?

No response

Frigate config file

logger:
  # Optional: default log level (default: shown below)
  default: warning
  #logs:
    #frigate.ptz.onvif: debug
    #frigate.ptz.autotrack: debug

genai:
  enabled: true
  provider: gemini
  api_key: xxxxxxxxxxxxxxxxx
  model: gemini-2.0-flash
  prompt: Analyze the {label} in these images from the {camera} security camera.
    Focus on the actions, behavior, and potential intent of the {label}, rather 
    than just describing its appearance.
  object_prompts:
    person: Examine the main person in these images. What are they doing and 
      what might their actions suggest about their intent (e.g., approaching a 
      door, leaving an area, standing still)? Do not describe the surroundings 
      or static details.
    car: Observe the primary vehicle in these images. Focus on its movement, 
      direction, or purpose (e.g., parking, approaching, circling). If it's a 
      delivery vehicle, mention the company.
    cat: Observe the cat in these images. Focus on its movement and intent 
      (e.g., wandering, hunting, interacting with objects). If the cat is near 
      the flower pots or engaging in any specific actions, mention it.
    dog: Observe the dog in these images. Focus on its movement and intent 
      (e.g., wandering, hunting, interacting with objects). If the dog is near 
      the flower pots or engaging in any specific actions, mention it.

semantic_search:
  enabled: true
  reindex: false
  model_size: large

mqtt:
  # Required: host name
  host: xx.xx.xx.xx
  # Optional: port (default: shown below)
  port: 1883
  # Optional: topic prefix (default: shown below)
  # WARNING: must be unique if you are running multiple instances
  topic_prefix: frigate
  # Optional: client id (default: shown below)
  # WARNING: must be unique if you are running multiple instances
  client_id: frigate
  # Optional: user
  #user: mqtt user here
  # Optional: 
  # NOTE: Environment variables that begin with 'FRIGATE_' may be referenced in {}.
  #       eg. password: '{FRIGATE_MQTT_PASSWORD}'
  #password: mqtt pass here
  # Optional: interval in seconds for publishing stats (default: shown below)
  stats_interval: 60

detectors:
  #tensorrt:
    #type: tensorrt
    #device: 0
  onnx_0:
    type: onnx
  #onnx_1:
    #type: onnx

model:
  model_type: yolo-generic
  #path: /config/model_cache/tensorrt/yolov7-640.trt
  path: /config/model_cache/yolov9-t.onnx
  width: 320
  height: 320
  input_tensor: nchw
  input_dtype: float
  #input_pixel_format: rgb
  labelmap_path: /config/labelmap/coco-80.txt

ffmpeg:
  hwaccel_args: preset-nvidia-h264
  output_args:
    #record: preset-record-generic-audio-copy
    record: preset-record-generic-audio-aac
  # Optional: Time in seconds to wait before ffmpeg retries connecting to the camera. (default: shown below)
  # If set too low, frigate will retry a connection to the camera's stream too frequently, using up the limited streams some cameras can allow at once
  # If set too high, then if a ffmpeg crash or camera stream timeout occurs, you could potentially lose up to a maximum of retry_interval second(s) of footage
  # NOTE: this can be a useful setting for Wireless / Battery cameras to reduce how much footage is potentially lost during a connection timeout.
  retry_interval: 15

go2rtc:
  hass:
    config: /config
  streams:
    backyard:
      - rtsp://xxxxxx:[email protected]:554/live/ch0
      - ffmpeg:backyard#video=h264#audio=opus#timeout=100
    #backyard_low:
    #  - rtsp://xxxxxx:[email protected]:554/live/ch1
    #  - ffmpeg:backyard_low#video=h264#audio=opus#timeout=100
    back:
      - rtsp://xxxxxx:[email protected]:554/live/ch0
      - ffmpeg:back#video=h264#audio=opus#timeout=100
    #back_low:
    #  - rtsp://xxxxxx:[email protected]:554/live/ch1
    #  - ffmpeg:back_low#video=h264#audio=opus#timeout=100
    garage:
      - rtsp://xxxxxx:[email protected]:554/live/ch0
      - ffmpeg:garage#video=h264#audio=opus#timeout=100
    #garage_low:
    #  - rtsp://xxxxxx:[email protected]:554/live/ch1
    #  - ffmpeg:garage_low#video=h264#audio=opus#timeout=100
    frontdoor:
      - rtsp://xxxxxx:[email protected]:554/live/ch0
      - ffmpeg:frontdoor#video=h264#audio=opus#timeout=100
    #frontdoor_low:
    #  - rtsp://xxxxxx:[email protected]:554/live/ch1
    #  - ffmpeg:frontdoor_low#video=h264#audio=opus#timeout=100
    street:
      - rtsp://xxxxxx:[email protected]:554/live/ch0
      - ffmpeg:street#video=h264#audio=opus#timeout=20
    #street_low:
    #  - rtsp://xxxxxx:[email protected]:554/live/ch1
    #  - ffmpeg:street_low#video=h264#audio=opus#timeout=100
    garage_down:
      - rtsp://thingino:[email protected]:554/ch0
      - ffmpeg:garage_down#video=h264#audio=opus#timeout=100
    #garage_down_low:
    #  - rtsp://thingino:[email protected]:554/ch1
    #  - ffmpeg:garage_down_low#video=h264#audio=opus#timeout=100
    #doorbell: hass://supervisor?entity_id==camera.vhod
    #doorbell: hass://xx.xx.xx.xx:8123?entity_id=camera.xxxxxxx
    doorbell:
      - nest:?client_id=xxxx
      - ffmpeg:doorbell#video=h264#audio=opus#timeout=100
  webrtc:
    candidates:
      - xxxxx.xxxxx.org:8555
      - xx.xx.xx.xx:8555
      - stun:8555

# Optional: Detect configuration
# NOTE: Can be overridden at the camera level
detect:
  # Optional: enables detection for the camera (default: True)
  enabled: true
  stationary:
    interval: 50
    threshold: 50
# Optional: desired fps for your camera for the input with the detect role (default: shown below)
  # NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
  fps: 10
# Optional: Object configuration
# NOTE: Can be overridden at the camera level
objects:
  # Optional: list of objects to track from labelmap.txt (default: shown below)
  track:
    - person
    - car
    - dog
    - cat

# Optional: Record configuration
# NOTE: Can be overridden at the camera level
record:
  # Optional: Enable recording (default: shown below)
  # WARNING: If recording is disabled in the config, turning it on via
  #          the UI or MQTT later will have no effect.
  enabled: true
  # Optional: Number of minutes to wait between cleanup runs (default: shown below)
  # This can be used to reduce the frequency of deleting recording segments from disk if you want to minimize i/o
  expire_interval: 60
  # Optional: Retention settings for recording
  retain:
    # Optional: Number of days to retain recordings regardless of events (default: shown below)
    # NOTE: This should be set to 0 and retention should be defined in events section below
    #       if you only want to retain recordings of events.
    days: 7
    # Optional: Mode for retention. Available options are: all, motion, and active_objects
    #   all - save all recording segments regardless of activity
    #   motion - save all recordings segments with any detected motion
    #   active_objects - save all recording segments with active/moving objects
    # NOTE: this mode only applies when the days setting above is greater than 0
    mode: all

# Optional: Configuration for the jpg snapshots written to the clips directory for each event
# NOTE: Can be overridden at the camera level
snapshots:
  # Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below)
  enabled: true
  # Optional: Camera override for retention settings (default: global values)
  retain:
    # Required: Default retention days (default: shown below)
    default: 7

# Include all cameras by default in Birdseye view
birdseye:
  enabled: false
  mode: continuous
  restream: false

cameras:
  doorbell:
    enabled: true
    genai:
      enabled: true
    birdseye:
      order: 5
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/doorbell
          input_args: preset-rtsp-restream
          roles:
            - record
            - detect
    motion:
  backyard:
    enabled: true
    genai:
      enabled: true
    birdseye:
      order: 4
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/backyard
          input_args: preset-rtsp-restream
          roles:
            - record
            - detect
    onvif:
      host: xx.xx.xx.xx
      port: 8899
      user: xxxxxx
      password: xxxxxx
      autotracking:
        # Optional: enable/disable object autotracking. (default: shown below)
        enabled: false
        # Optional: calibrate the camera on startup (default: shown below)
        # A calibration will move the PTZ in increments and measure the time it takes to move.
        # The results are used to help estimate the position of tracked objects after a camera move.
        # Frigate will update your config file automatically after a calibration with
        # a "movement_weights" entry for the camera. You should then set calibrate_on_startup to False.
        calibrate_on_startup: false
        # Optional: the mode to use for zooming in/out on objects during autotracking. (default: shown below)
        # Available options are: disabled, absolute, and relative
        #   disabled - don't zoom in/out on autotracked objects, use pan/tilt only
        #   absolute - use absolute zooming (supported by most PTZ capable cameras)
        #   relative - use relative zooming (not supported on all PTZs, but makes concurrent pan/tilt/zoom movements)
        zooming: disabled
        # Optional: A value to change the behavior of zooming on autotracked objects. (default: shown below)
        # A lower value will keep more of the scene in view around a tracked object.
        # A higher value will zoom in more on a tracked object, but Frigate may lose tracking more quickly.
        # The value should be between 0.1 and 0.75
        zoom_factor: 0.3
        # Optional: list of objects to track from labelmap.txt (default: shown below)
        track:
          - person
        # Required: Begin automatically tracking an object when it enters any of the listed zones.
        required_zones:
          - zone_name
        # Required: Name of ONVIF preset in camera's firmware to return to when tracking is over. (default: shown below)
        return_preset: home
        # Optional: Seconds to delay before returning to preset. (default: shown below)
        timeout: 10
        # Optional: Values generated automatically by a camera calibration. Do not modify these manually. (default: shown below)
        #movement_weights: []
    motion:
      mask: 0.74,0.003,0.74,0.049,0.994,0.048,0.993,0
  back:
    enabled: true
    genai:
      enabled: true
    birdseye:
      order: 4
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/back
          input_args: preset-rtsp-restream
          roles:
            - record
            - detect
    onvif:
      host: xx.xx.xx.xx
      port: 8899
      user: xxxxxx
      password: xxxxxx
      autotracking:
        enabled: false
        calibrate_on_startup: false
        zooming: disabled
        zoom_factor: 0.3
        track:
          - person
        required_zones:
          - zone_name
        return_preset: home
        timeout: 10
        #movement_weights: []
    motion:
      mask: 0.736,0.003,0.736,0.049,0.99,0.048,0.989,0
  garage:
    enabled: true
    genai:
      enabled: true
    birdseye:
      order: 3
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/garage
          input_args: preset-rtsp-restream
          roles:
            - record
            - detect
    onvif:
      host: xx.xx.xx.xx
      port: 8899
      user: xxxxxx
      password: xxxxxx
      autotracking:
        enabled: false
        calibrate_on_startup: false
        zooming: disabled
        zoom_factor: 0.3
        track:
          - person
        required_zones:
          - zone_name
        return_preset: home
        timeout: 10
        #movement_weights: []
    motion:
      mask: 0.74,0.003,0.74,0.049,0.994,0.048,0.993,0
  garage_down:
    enabled: true
    genai:
      enabled: true
    birdseye:
      order: 3
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/garage_down
          input_args: preset-rtsp-restream
          roles:
            - record
            - detect
    onvif:
      host: xx.xx.xx.xx2
      port: 80
      user: thingino
      password: xxxxxxx
      tls_insecure: false
      ignore_time_mismatch: true
      autotracking:
        enabled: false
        calibrate_on_startup: false
        zooming: disabled
        zoom_factor: 0.3
        track:
          - person
        required_zones:
          - full
        return_preset: home
        timeout: 10
        movement_weights: 

    motion:
      mask: 0,0.003,0,0.031,0.128,0.028,0.129,0
    zones:
      full:
        coordinates: 0,1,1,1,1,0,0.13,0.003,0.127,0.031,0,0.031
        inertia: 3
        loitering_time: 0
  frontdoor:
    genai:
      enabled: true
    enabled: true
    birdseye:
      order: 1
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/frontdoor
          input_args: preset-rtsp-restream
          roles:
            - record
            - detect
    onvif:
      host: xx.xx.xx.xx
      port: 8899
      user: xxxxxx
      password: xxxxxx
      autotracking:
        enabled: false
        calibrate_on_startup: false
        zooming: disabled
        zoom_factor: 0.3
        track:
          - person
        required_zones:
          - zone_name
        return_preset: home
        timeout: 10
        #movement_weights: []
    motion:
      mask: 0.739,0.003,0.739,0.049,0.993,0.048,0.992,0
  street:
    genai:
      enabled: true
    enabled: true
    birdseye:
      order: 2
    ffmpeg:
      inputs:
        - path: rtsp://127.0.0.1:8554/street
          input_args: preset-rtsp-restream
          roles:
            - record
            - detect
    onvif:
      host: xx.xx.xx.xx
      port: 8899
      user: xxxxxx
      password: xxxxxx
      autotracking:
        enabled: false
        calibrate_on_startup: false
        zooming: disabled
        zoom_factor: 0.3
        track:
          - person
        required_zones:
          - zone_name
        return_preset: home
        timeout: 10
        #movement_weights: []
    motion:
      mask: 0.741,0.003,0.741,0.049,0.995,0.048,0.994,0
      threshold: 30
      contour_area: 50
      improve_contrast: true
version: 0.16-0
face_recognition:
  enabled: true
  model_size: small
lpr:
  enabled: true
classification:
  bird:
    enabled: true

docker-compose file or Docker CLI command

unraid

Relevant Frigate log output

| 2025-10-13 11:54:06 | frigate.record.maintainer | Too many unprocessed recording segments in cache for garage_down. This likely indicates an issue with the detect stream, keeping the 6 most recent segments out of 7 and discarding the rest...
warning | 2025-10-13 11:54:11 | frigate.record.maintainer | Too many unprocessed recording segments in cache for frontdoor. This likely indicates an issue with the detect stream, keeping the 6 most recent segments out of 7 and discarding the rest...
warning | 2025-10-13 11:54:11 | frigate.record.maintainer | Too many unprocessed recording segments in cache for back. This likely indicates an issue with the detect stream, keeping the 6 most recent segments out of 7 and discarding the rest...
warning | 2025-10-13 11:54:11 | frigate.record.maintainer | Too many unprocessed recording segments in cache for doorbell. This likely indicates an issue with the detect stream, keeping the 6 most recent segments out of 7 and discarding the rest...
warning | 2025-10-13 11:54:11 | frigate.record.maintainer | Too many unprocessed recording segments in cache for street. This likely indicates an issue with the detect stream, keeping the 6 most recent segments out of 7 and discarding the rest...
warning | 2025-10-13 11:54:16 | frigate.record.maintainer | Too many unprocessed recording segments in cache for doorbell. This likely indicates an issue with the detect stream, keeping the 6 most recent segments out of 7 and discarding the rest...
warning | 2025-10-13 11:54:16 | frigate.record.maintainer | Too many unprocessed recording segments in cache for street. This likely indicates an issue with the detect stream, keeping the 6 most recent segments out of 7 and discarding the rest...
warning | 2025-10-13 11:54:16 | frigate.record.maintainer | Too many unprocessed recording segments in cache for garage. This likely indicates an issue with the detect stream, keeping the 6 most recent segments out of 7 and discarding the rest...
warning | 2025-10-13 11:54:16 | frigate.record.maintainer | Too many unprocessed recording segments in cache for garage_down. This likely indicates an issue with the detect stream, keeping the 6 most recent segments out of 7 and discarding the rest...
warning | 2025-10-13 11:54:16 | frigate.record.maintainer | Too many unprocessed recording segments in cache for backyard. This likely indicates an issue with the detect stream, keeping the 6 most recent segments out of 7 and discarding the rest...
warning | 2025-10-13 11:54:21 | frigate.record.maintainer | Too many unprocessed recording segments in cache for back. This likely indicates an issue with the detect stream, keeping

Relevant go2rtc log output

n/a

Operating system

UNRAID

Install method

Docker CLI

Network connection

Wired

Camera make and model

Galayou 2K Y4

Screenshots of the Frigate UI's System metrics pages

Any other information that may be helpful

No response

2025-10-13T10:04:32Z

inkeep-ai-assistant[bot]
bot Oct 13, 2025

This error indicates that Frigate's recording maintainer cannot keep up with processing recording segments, which is typically a performance issue (1).

The root cause is usually slow storage or insufficient system resources (1). Here are the key troubleshooting steps:

Check Copy Times
Enable debug logging to see segment copy times (1):

logger:
  logs:
    frigate.record.maintainer: debug

(1)

This will show logs like DEBUG : Copied /media/frigate/recordings/{segment_path} in 0.2 seconds (1).

If Copy Times > 1 Second
The storage is too slow, causing the maintainer to fall behind and purge old recordings to prevent cache overflow (1).

Check system resources using these tools (1):

docker stats
htop
iotop -o
iostat -sxy --human 1 1
vmstat 1

Storage Solutions

Network Storage: If using network shares, try NFS instead of SMB for better performance (1)
Mount Options: Avoid the sync mount option in fstab, use async instead for better performance (1)

Memory Management
To prevent swapping in containers, set these Docker parameters (1):

services:
  frigate:
    mem_swappiness: 0
    memswap_limit: <MAXSWAP>
    deploy:
      resources:
        limits:
          memory: <MAXRAM>

(1)

If Copy Times < 1 Second
The issue may be high CPU load preventing Frigate from keeping up (1). Try temporarily shutting down other services to test if performance improves (1).

Given your system specs (i5-12600 with 64GB RAM), the issue is likely storage-related or caused by the high number of cameras (6) with recording enabled simultaneously.

📚 Sources:

Troubleshooting Recordings

Have another question? Just tag @inkeep.

0 replies

hawkeye217 · 2025-10-13T10:23:32Z

hawkeye217
Oct 13, 2025
Collaborator

We will need to see a full copy of the logs from Frigate startup to the time of the failure.

0 replies

devdems · 2025-10-13T10:34:43Z

devdems
Oct 13, 2025
Author

frigate-logs.txt

Those are the logs that i can download.

5 replies

hawkeye217 Oct 13, 2025
Collaborator

Unfortunately those messages in the log are just symptoms of whatever occurred. The real log message we will need to see is right before all of those start, which is missing from your upload.

devdems Oct 13, 2025
Author

How can i get this log? I don't see a log file on the system.

hawkeye217 Oct 13, 2025
Collaborator

You'll need to wait until the issue occurs again and grab the full log as soon as possible afterwards.

devdems Oct 13, 2025
Author

So i need to restart frigate and wait for the issue to happen again?

hawkeye217 Oct 13, 2025
Collaborator

Yes

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devdems Oct 13, 2025

Checklist

Describe the problem you are having

Steps to reproduce

Version

In which browser(s) are you experiencing the issue with?

Frigate config file

docker-compose file or Docker CLI command

Relevant Frigate log output

Relevant go2rtc log output

Operating system

Install method

Network connection

Camera make and model

Screenshots of the Frigate UI's System metrics pages

Any other information that may be helpful

Replies: 3 comments · 5 replies

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inkeep-ai-assistant[bot] bot Oct 13, 2025

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devdems
Oct 13, 2025

Replies: 3 comments 5 replies

inkeep-ai-assistant[bot]
bot Oct 13, 2025

hawkeye217
Oct 13, 2025
Collaborator

devdems
Oct 13, 2025
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hawkeye217 Oct 13, 2025
Collaborator

devdems Oct 13, 2025
Author

hawkeye217 Oct 13, 2025
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devdems Oct 13, 2025
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hawkeye217 Oct 13, 2025
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