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The Great Big Beautiful Tomorrow
28 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
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Autres articles (48)
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Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
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Participer à sa traduction
10 avril 2011Vous pouvez nous aider à améliorer les locutions utilisées dans le logiciel ou à traduire celui-ci dans n’importe qu’elle nouvelle langue permettant sa diffusion à de nouvelles communautés linguistiques.
Pour ce faire, on utilise l’interface de traduction de SPIP où l’ensemble des modules de langue de MediaSPIP sont à disposition. ll vous suffit de vous inscrire sur la liste de discussion des traducteurs pour demander plus d’informations.
Actuellement MediaSPIP n’est disponible qu’en français et (...) -
Les autorisations surchargées par les plugins
27 avril 2010, parMediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs
Sur d’autres sites (5695)
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Very slow writes on MySQL 8 - waiting for handler commit
23 mai 2023, par Akshat GoelI have MySQL 8 docker installation installed on an edge device which has the following two tables to write to


video_paths | CREATE TABLE `video_paths` (
 `entry` int(11) NOT NULL AUTO_INCREMENT,
 `timestamp` bigint(20) NOT NULL,
 `duration` int(11) NOT NULL,
 `path` varchar(255) NOT NULL,
 `motion` int(11) NOT NULL DEFAULT '0',
 `cam_id` varchar(255) NOT NULL DEFAULT '',
 `hd` tinyint(1) NOT NULL DEFAULT '0',
 PRIMARY KEY (`entry`),
 KEY `cam_id` (`cam_id`),
 KEY `timestamp` (`timestamp`)
) ENGINE=InnoDB AUTO_INCREMENT=7342309 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci



AND


CREATE TABLE `tracker` (
 `id` int(11) NOT NULL AUTO_INCREMENT,
 `table_name` varchar(255) NOT NULL,
 `primary_key_name` varchar(255) NOT NULL,
 `pointer` int(11) NOT NULL DEFAULT '0',
 PRIMARY KEY (`id`),
 UNIQUE KEY `table_name` (`table_name`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci



The following queries are run every few secs for up to 32 cameras and are taking a lot of time as indicated by the slow query log.


UPDATE tracker SET pointer = 7342046 WHERE table_name = 'video_paths'

INSERT INTO video_paths (timestamp,duration,path,cam_id,hd) VALUES (1597548365000,5000,'/s/ss/x-0/v/2020-08-16/3/1.ts','x-1',1)




Most of the time is spent in the
waiting for handler commit
state

The total size of my data (tables + index) is 1GB and I have the following settings enabled to optimise for write


skip-log-bin
- Disabled the bin log because I don't have a replica and therefore no use for it
innodb_flush_log_at_trx_commit =2
- I am Optimising for performance rather than consistency here.
range_optimizer_max_mem_size =0
As mention in this question, I have allowed max memory to range optimiser.
inndo_buffer_pool_size= 512Mb
- This should be enough for my data ?.

innodb_log_file_size= 96Mb
*2 files

I am seeing queries that are taking up to 90-100 secs sometimes.


SET timestamp=1597549337;
INSERT INTO video_paths (timestamp,duration,path,cam_id,hd) VALUES (1597548365000,5000,'/s/ss/x-0/v/2020-08-16/3/1.ts','x-1',1);
# Time: 2020-08-16T03:42:24.533408Z
# Query_time: 96.712976 Lock_time: 0.000033 Rows_sent: 0 Rows_examined: 0



---UPDATE---
Here's the complete my.cnf file


my.cnf

[mysqld]
pid-file = /var/run/mysqld/mysqld.pid
socket = /var/run/mysqld/mysqld.sock
datadir = /var/lib/mysql
secure-file-priv= NULL
# Disabling symbolic-links is recommended to prevent assorted security risks
symbolic-links=0

skip-log-bin
innodb_buffer_pool_size=536870912
innodb_log_file_size=100663296

# Custom config should go here
!includedir /etc/mysql/conf.d/

conf.d/docker.cnf 
[mysqld]
skip-host-cache
skip-name-resolve 



The docker container is using the host mode so complete 15GB memory is available to the container.


--- UPDATE 2 ---
After increasing the
innodb_buffer_pool_size
to 2GB as suggested by @fyrye, the statements have now started getting stuck onSTATE = UPDATE
instead ofwaiting for handler commit
.

---- UPDATE 3 ---
Looks like the CPU is causing the bottleneck



** ---- UPDATE 4 ---- **
Additional info


- 

- Ram Size




total used free shared buff/cache available
Mem: 15909 1711 9385 2491 4813 11600
Swap: 0 0 0



- 

- No SSD/NVMe devices attached
SHOW GLOBAL STATUS
- https://pastebin.com/vtWi0PUqSHOW GLOBAL VARIABLES
- https://pastebin.com/MUZeG959SHOW FULL PROCESSLIST
- https://pastebin.com/eebEcYk7- htop -
htop
here is for the edge system which has 4 other containers running which include the main app, ffmpeg, mqtt, etc.
 ulimit -a
:














core file size (blocks, -c) 0
data seg size (kbytes, -d) unlimited
scheduling priority (-e) 0
file size (blocks, -f) unlimited
pending signals (-i) 62576
max locked memory (kbytes, -l) 64
max memory size (kbytes, -m) unlimited
open files (-n) 1024
pipe size (512 bytes, -p) 8
POSIX message queues (bytes, -q) 819200
real-time priority (-r) 0
stack size (kbytes, -s) 8192
cpu time (seconds, -t) unlimited
max user processes (-u) 62576
virtual memory (kbytes, -v) unlimited
file locks (-x) unlimited



- 

opstat -xm 5 4




Linux 4.15.0-106-generic (xxxx) 08/18/2020 _x86_64_ (4 CPU)

avg-cpu: %user %nice %system %iowait %steal %idle
 26.97 0.00 22.36 22.53 0.00 28.14

Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz avgqu-sz await r_await w_await svctm %util
loop0 0.00 0.00 0.00 0.00 0.00 0.00 3.20 0.00 2.40 2.40 0.00 0.00 0.00
sda 13.78 9.89 32.24 11.44 0.37 4.10 209.51 47.52 1079.07 44.07 3994.87 22.39 97.81

avg-cpu: %user %nice %system %iowait %steal %idle
 19.71 0.00 27.85 40.87 0.00 11.57

Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz avgqu-sz await r_await w_await svctm %util
loop0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
sda 0.00 0.00 1.40 4.60 0.03 2.71 934.93 142.66 24221.33 666.29 31390.26 166.67 100.00

avg-cpu: %user %nice %system %iowait %steal %idle
 20.16 0.00 26.77 28.30 0.00 24.77

Device: rrqm/s wrqm/s r/s w/s rMB/s wMB/s avgrq-sz avgqu-sz await r_await w_await svctm %util
loop0 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00
sda 0.00 0.00 8.80 5.60 0.03 3.45 496.11 141.28 12507.78 194.00 31858.00 69.44 100.00



- 

mpstat -P ALL 5 3




Linux 4.15.0-106-generic (sn-1f0ce8) 08/18/2020 _x86_64_ (4 CPU)

02:15:47 PM CPU %usr %nice %sys %iowait %irq %soft %steal %guest %gnice %idle
02:15:52 PM all 21.48 0.00 20.40 29.01 0.00 7.94 0.00 0.00 0.00 21.17
02:15:52 PM 0 24.95 0.00 20.86 5.32 0.00 0.61 0.00 0.00 0.00 48.26
02:15:52 PM 1 17.59 0.00 18.81 57.67 0.00 5.93 0.00 0.00 0.00 0.00
02:15:52 PM 2 21.28 0.00 17.36 0.21 0.00 24.79 0.00 0.00 0.00 36.36
02:15:52 PM 3 22.34 0.00 24.59 52.46 0.00 0.61 0.00 0.00 0.00 0.00

02:15:52 PM CPU %usr %nice %sys %iowait %irq %soft %steal %guest %gnice %idle
02:15:57 PM all 20.56 0.00 20.00 28.26 0.00 7.08 0.00 0.00 0.00 24.10
02:15:57 PM 0 24.44 0.00 18.89 12.32 0.00 0.21 0.00 0.00 0.00 44.15
02:15:57 PM 1 17.73 0.00 15.46 33.20 0.00 4.95 0.00 0.00 0.00 28.66
02:15:57 PM 2 18.93 0.00 22.22 12.35 0.00 22.84 0.00 0.00 0.00 23.66
02:15:57 PM 3 21.06 0.00 23.31 55.21 0.00 0.41 0.00 0.00 0.00 0.00

02:15:57 PM CPU %usr %nice %sys %iowait %irq %soft %steal %guest %gnice %idle
02:16:02 PM all 21.81 0.00 18.32 26.42 0.00 7.03 0.00 0.00 0.00 26.42
02:16:02 PM 0 26.43 0.00 19.67 0.20 0.00 0.41 0.00 0.00 0.00 53.28
02:16:02 PM 1 20.57 0.00 17.11 45.21 0.00 5.30 0.00 0.00 0.00 11.81
02:16:02 PM 2 19.67 0.00 16.74 0.21 0.00 21.97 0.00 0.00 0.00 41.42
02:16:02 PM 3 20.45 0.00 19.84 58.91 0.00 0.81 0.00 0.00 0.00 0.00

Average: CPU %usr %nice %sys %iowait %irq %soft %steal %guest %gnice %idle
Average: all 21.28 0.00 19.57 27.90 0.00 7.35 0.00 0.00 0.00 23.90
Average: 0 25.27 0.00 19.81 5.94 0.00 0.41 0.00 0.00 0.00 48.57
Average: 1 18.63 0.00 17.13 45.39 0.00 5.39 0.00 0.00 0.00 13.45
Average: 2 19.96 0.00 18.78 4.28 0.00 23.20 0.00 0.00 0.00 33.77
Average: 3 21.28 0.00 22.57 55.54 0.00 0.61 0.00 0.00 0.00 0.00



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FFMPEG : Converting from raw audio to audio/mp4 (audio is being converted with slow speed)
29 décembre 2017, par ValdirIf I convert from mp3 to mp4 directly everything works perfectly. But if I try to convert from raw pcm, the audio speed is slowed down.
I’ve tried the following (this works) :
ffmpeg -i mp3/1.mp3 -strict -2 final.mp4
This doesn’t work as expected :
ffmpeg -f s16le -i final.raw -strict -2 -r 26 final.mp4
With the following output :
Input #0, s16le, from 'final.raw':
Duration: 00:08:37.38, bitrate: 705 kb/s
Stream #0:0: Audio: pcm_s16le, 44100 Hz, 1 channels, s16, 705 kb/s
File 'final.mp4' already exists. Overwrite ? [y/N] y
Output #0, mp4, to 'final.mp4':
Metadata:
encoder : Lavf56.40.101
Stream #0:0: Audio: aac ([64][0][0][0] / 0x0040), 44100 Hz, mono, fltp, 128 kb/s
Metadata:
encoder : Lavc56.60.100 aac
Stream mapping:
Stream #0:0 -> #0:0 (pcm_s16le (native) -> aac (native))
Press [q] to stop, [?] for help
size= 8273kB time=00:08:37.38 bitrate= 131.0kbits/s
video:0kB audio:8185kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 1.073808%I’ve tried to set parameters like :
ffmpeg -ar 44100 -f s16le -i final.raw -strict -2 -r 26 final.mp4
With no luck.
In order to get the PCM from mp3 I’m using nodejs lame decoder :
var decoder = new lame.Decoder({
channels: 2,
bitDepth: 16,
sampleRate: 44100,
bitRate: 128,
outSampleRate: 44100, // 22050
mode: lame.STEREO
}); -
Unable to split audio using easy_audio_trimmer
27 juillet 2023, par Sana Wasimcan we use the easy_audio_trimmer package to split an audio ? I tried using the ffmpeg but it is conflicting with the above package and not work.


I tried splitting by using these functions and it gave an error at the FlutterFFmpeg() method and i cant find an alternative also the duration(filePath) in the command final durationResult = await flutterSound.duration(filePath) ; shows an error


Future<void> _splitAudio() async {
 setState(() {
 _progressVisibility = true;
 });

 // Get the application documents directory
 final appDocumentsDirectory = await getApplicationDocumentsDirectory();

 // Get the input audio file path
 final inputAudioPath = widget.file.path;

 // Get the output file names for the two parts
 final outputFileName1 = 'split_audio_part1.mp3';
 final outputFileName2 = 'split_audio_part2.mp3';

 // Get the output file paths for the two parts
 final outputPath1 = '${appDocumentsDirectory.path}/$outputFileName1';
 final outputPath2 = '${appDocumentsDirectory.path}/$outputFileName2';

 // Calculate the duration of the original audio
 final originalDuration = await _getAudioDuration(inputAudioPath);

 // Calculate the durations of the two parts
 final part1Duration = _startValue;
 final part2Duration = originalDuration - _endValue;

 // Construct the FFmpeg command to split the audio
 final ffmpeg = FlutterFFmpeg();
 final splitCommand = '-i $inputAudioPath -ss 0 -t $part1Duration -c copy $outputPath1 -ss $_endValue -t $part2Duration -c copy $outputPath2';

 try {
 // Execute the FFmpeg command to split the audio
 final int result = await ffmpeg.execute(splitCommand);

 if (result == 0) {
 setState(() {
 _progressVisibility = false;
 });
 debugPrint('Audio split successfully.');
 } else {
 setState(() {
 _progressVisibility = false;
 });
 debugPrint('Failed to split audio.');
 }
 } catch (error) {
 setState(() {
 _progressVisibility = false;
 });
 debugPrint('Error while splitting audio: $error');
 }
 }

 Future<int> _getAudioDuration(String filePath) async {
 final flutterSound = FlutterSound();
 final durationResult = await flutterSound.duration(filePath);
 return durationResult.inMilliseconds;
 }
</int></void>


Dependencies


path_provider: ^2.0.15
 ffmpeg_kit_flutter: ^5.1.0
 audioplayers: ^4.1.0
 flutter_sound: ^9.2.13