If the fragmentation ratio rises above 1.5, your memory allocation is inefficient and you should restart the instance. Some googling shows that redis uses jemalloc which is supposedly better. A fragmentation ratio below 1 tells you that Redis needs more memory than is available on your system, which leads to swapping. so sometimes, jemalloc locks some memories(but jemalloc will reuse it for redis). mem_fragmentation_ratio:1.21 used_memory: Memory used by the Redis server. mem_allocator:jemalloc-3.6.0, Let me know if any other info is required. The application using that instance is constantly creating and deleting keys. How do I cite my own PhD dissertation in a journal article? Redis memory fragmentation after 2 weeks Showing 1-35 of 35 messages. redis_mode:standalone What’s the pros & cons of this configuration which is mentioned on redis documentation: I followed my dreams and got demoted to software developer, Opt-in alpha test for a new Stacks editor, Visual design changes to the review queues, node.js, mongodb, redis, on ubuntu performance degradation in production, RAM is free, CPU 100%. Luckily, it's the default allocator on Linux. Therefore, I used ycsb to test redis memory. Memory fragmentation happens when the operating system allocates memory pages which Redis cannot fully utilize after repeated write and delete operations. This is a simple case were the process RSS is smaller than the used_memory. gcc_version:4.7.2 How to stop a Gutenberg Block from firing multiple GET Requests? Have a question about this project? According to the monthly ranking by DB-Engines.com, Redis is the most popular key-value database. and we can't avoid memory fragmentation if we use varient size of items and insert/delete are frequently. used_memory_peak:53690235176 since the machine get neary 100G memory. This solved the problem for us. Always same conjugation for wir, sie-plural and sie-formal? INFO ALL when redis-server is taking up tons of memory. The original redis.conf for Redis… We are using redis as a pure inmemory cache, with each service node in our cluster having its own local redis. By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy. When rss >> used, a large difference means there is memory fragmentation (internal or external), which can be evaluated by checking mem_fragmentation_ratio. privacy statement. When i do memory usage test, i find that mem_fragmentation_ratio in INFO MEMORY could be less than 1 with libc allocator. Along with low error rates, good performance is one of the best top-level indicators of system health. The text was updated successfully, but these errors were encountered: Pffft, that's nothing . Making statements based on opinion; back them up with references or personal experience. For Zabbix version: 4.4 The template to monitor Redis server by Zabbix that work without any external scripts.Most of the metrics are collected in one go, thanks to Zabbix bulk data collection. The redis memory related indicators can be obtained through the info memory command. site design / logo © 2021 Stack Exchange Inc; user contributions licensed under cc by-sa. There are several possible causes of this memory pressure: 1. A ratio in excess of 1.5 indicates excessive fragmentation, with your Redis instance consuming 150% of the physical memory it requested. What is an alternative theory to the Paradox of Tolerance? Certain thresholds signify different behaviors. The information about memory usage is provided as metrics and their respective values. Successfully merging a pull request may close this issue. This fragmentation is most often caused by storing large objects, since Redis is optimized for small objects. Memory pressure on the server side leads to all kinds of performance problems that can delay processing of requests. Redis/Sentinel cluster failover results in “failover-abort-not-elected master”, Improving memory fragmentation on a Redis cluster. And I have seem it noted that redis doesn't have fragmentation issues. Related Posts. This value references the used_memory value from the Redis INFO command to calculate the percentage. Software and web architectures, cloud computing and a flavor of tech startup entrepreneurship through the eyes of Alex Popescu. via NoSQL databases. It only takes a minute to sign up. run_id:811ff5f46e21baddb49518fab51ee536674d81f1 so sometimes, jemalloc locks some memories(but jemalloc will reuse it for redis). Is attempted murder the same charge regardless of damage done? hz:10 A note about the word slave used in this man page: Starting with Redis 5, if not for backward compatibility, the Redis project no longer uses the word slave. Meaning and addressees of Hector's threats. The following metrics are reported: peak.allocated: Peak memory consumed by Redis in bytes (see INFO's used_memory); total.allocated: Total number of bytes allocated by Redis using its allocator (see INFO's used_memory) You signed in with another tab or window. We typically used a single Redis between multiple processes on the same machine, but instead now we couple one Redis to one process so that when the process is terminated / recycled, we discard the old Redis and bring on another. Over a period of time(6 months), the fragmentation ratio on machines have gone up to 1.28 on majority of machines, we are fine to recycle the cluster once in 6 months. The MEMORY STATS command returns an @array-reply about the memory usage of the server.. What is the name of the text that might exist after the chapter heading and the first section? My system monitoring graphs show that this did not happen, yet serious fragmentation persists. Salvatore: tags:Redis. mindstorms. If the ratio of ‘memory_rss’ to ‘memory_used’ is greater than ~1.5, then it signifies memory fragmentation. The MEMORY STATS command returns an Array reply about the memory usage of the server.. When mem_ fragmentation_ When ratio > 1, it indicates that some memory is not used for data storage, but consumed by memory fragmentation. Actually redis depends on jemalloc for memory management. The allocator is normally not able to release memory after a peak, so you can expect to see a big fragmentation ratio, however this is actually harmless and is only due to the memory peak, and if the Redis instance Resident Set Size (RSS) is currently bigger than expected, the memory will be used as soon as you fill the Redis instance with more data. fragmentation: See INFO's mem_fragmentation_ratio; @return. When used >> rss, it means part of Redis memory has been swapped off by the operating system: expect some significant latencies". Active defragmentation (introduced in Redis 4) has been improved in Redis 5. Server Fault is a question and answer site for system and network administrators. Show me the reaction mechanism of this Retro Aldol Condensation reaction. As of v4, there's an experimental active memory defragmentation, and would like to have a better understanding of this if it can be of any use to us in order to improve redis performance. Indicates the efficiency in the allocation of memory of the Redis engine. The maxfragmentationmemory-reserved setting configures the amount of memory, in MB per instance in a cluster, that is reserved to accommodate for memory fragmentation. Ok, so once allocated Redis will never free that up because of the jemalloc allocations? A fragmentation ratio greater than 1 indicates fragmentation is occurring. used_memory_peak_human:16.89G So you are currently using half the memory that you alllocated at peak (it is not reclaimed after the peak), so the fragmentation is 2.0, but if you fill the instance more with keys, it will not consume more memory unless you reach again 16.89G of actual data. so memory management is key point of redis management. Olivier did you ever make any progress with this? Redis is seeing high memory fragmentation. The redis version is Redis server version 2.4.14 (00000000:0) The mem_fragmentation_ratio is too high to be put in memory. I have a Redis 3.0.5 instance that tend to show growing mem_fragmentation_ratio over time. I have a Redis 3.0.5 instance that tend to show growing mem_fragmentation_ratio over time. Fantasy novel series set in Russia/Prussia. Before v4, the only way to resolve it was restarting the process (possibly after making a slave, promoting it and redirecting traffic to it). Used Memory RSS: The amount of cache memory used in MB during the specified reporting interval, including fragmentation … With jemalloc or tcmalloc, this value is greater or equal than 1 as it should be. 2. I am using Redis as cache on Wordpress. Or any pointers how we can come around this problem without recycling? When it comes to Redis queue monitoring, network traffic is another important metric. process_id:13452 A fragmentation ratio above 1.5 indicates significant memory fragmentation since Redis consumes 150 percent of the physical memory it requested. This impacts the memory footprint of Redis on that server: The cache is filled with data near its maximum capacity. If the memory peak was only occasional and you … Thanks for contributing an answer to Server Fault! Poor performance is most commonly caused by memory issues, as described in the Memory section. Actually redis depends on jemalloc for memory management. Well, hum, no :) But there is hope ahead! Redis memory fragmentation after 2 weeks: Mike K: 4/27/11 3:58 PM: Hey all, On one of our main Redis instances, our 4.45GB dataset is currently taking about 14.4GB of RAM after 2 weeks of uptime: used_memory:4776139496 The application using that instance is constantly creating and deleting keys. Linux on ARM allows to trap unaligned accesses and fix them inside the kernel in order to continue the execution of the offending program instead of generating a SIGBUS. When used >> rss, it means part of Redis memory has been swapped off by the operating system: expect some significant latencies. used_memory_human:50.00G Try ration of 34: I have read about memory fragmentation in the docs, and I understand that because of the high peak number this caused fragmentation. When htop reports the memory usage of redis-server to be 4.4G RAM and 22.6G Swap, the amount of space taken up by all the keys in redis is only 60.59636307 MB, as reported by rdbtools. Deze fragmentatie wordt meestal veroorzaakt door het opslaan van grote objecten omdat redis is geoptimaliseerd voor kleine objecten. used_memory_peak_human:50.00G When rss >> used, a large difference means there is memory fragmentation (internal or external), which can be evaluated by checking mem_fragmentation_ratio . You can configure a limit with Redis maxmemory configuration setting for cache scenarios (you don’t want to evict keys on database or queues scenarios!) How can a technologically advanced species be conquered by a less advanced one? I'm pretty sure it depends on the loads of messages i send to Redis. If that is the case, what is causing the difference in numbers here. I have a low TTL (12 hours) but still fragmentation ratio goes below 1 and when that happens maxmemory policy does not work, as a result swap memory may be filled totally. Already on GitHub? Redis uses jemalloc to allocate memory by default. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. So I reduced TTL to 7200. This page faultingcauses the system to slow down significantly. Post a Comment. to your account, Hi, mem_fragmentation_ratio:0.19 The information about memory usage is provided as metrics and their respective values. Redis calls free but, real deallocation depends on jemalloc. Now how much should i be worried about this? This template was tested on: 1. If it exceeds physical memory, system will start swapping causing severe performance degradation. After discussing with #redis folks on irc/Freenode, I received a message from a contributor telling me that: "there will be an active-defragmentation option in upcoming Redis". "Redis" means REmote DIctionary Server. This is because pointers take 8 bytes in 64-bit systems . custom annotation @ cachefind (key = “XXX”, second = – 1)2) Use custom annotation to identify the business method and save the return value of the method to the cache3) AOP is used to intercept annotations, and surround notification is used to realize business 1.2 […] Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Should a select all toggle button get activated when all toggles get manually selected? We’ll occasionally send you account related emails. Redis, version 5.0.6, 4.0.14, 3.0.6 To learn more, see our tips on writing great answers. Would an astronaut experience a force during a gravity assist maneuver? If you are using the Jemalloc allocator and fighting with fragmentation, I would recommend to turn the feature on: If you on ElastiCache Redis from AWS, Jemalloc is the default and active defrag is supported. This fragmentation is most often caused by storing large objects since Redis is optimized for small objects. 最近有个业务bug,导致redis存储了很多没用的key,删除后发现mem_fragmentation_ratio过大： 127.0.0.1:6379> info memory # Memory But some machines(among others) which were recycled a fortnight ago the fragmentation ratio has reached the same level resulting in high values of used memory at the system level. Sign in The mem_fragmentation_ratio also gives us info on defragmentation, and in the case above, it seems memory on redis-notification-2 is not quite defragmented, and hence no need to perform defragmentation. Contest. Redis is an in-memory database that provides blazingly fast performance. 1. Since Redis 2.2 many data types are optimized to use less space up to a certain size. According to the best article in fast '14, when a variable-length key-value load occurs, the fragmentation problem may occur: low memory utilization, the actually allocated memory is more than the required memory. uptime_in_seconds:20018523 and we can't avoid memory fragmentation if we use varient size of items and insert/delete are frequently. This feature is especially useful for workloads where the allocator cannot keep the fragmentation low enough, so the strategy is for both Redis and the allocator to cooperate. uptime_in_days:231 When mem_ fragmentation_ When the ratio is less than 1, this situation usually occurs when the operating system switches redis memory to the hard disk. I read that memory fragmentation tells how efficiently is memory allocated, so i got a little concerned about this. As of v4, there's an experimental active memory defragmentation mechanism that may be enabled with a simple CONFIG SET activedefrag yes. None: mem_fragmentation_ratio Even when kernel alignment fixing is disabled Redis should run as expected. … The accumulation of such pages can result in the system running out of memory and eventually causes the Redis server to crash. This makes it a compelling alternative to disk-based databases when performance is a concern. Before v4, the only way to resolve memory defragmentation was restarting redis (mostly after a failover). Setting this value allows you to have a more consistent Redis server experience when the cache is full or close to full and the fragmentation ratio is high. used_memory_lua:36864 Redis is a data structure server that is open-source, networked, in-memory, and capable of storing keys with optional durability. Memory fragmentation is a non-trivial issue. redis_build_id:770ddd3b4723f6b2 Redis support 3 memory allocator: libc, jemalloc, tcmalloc. Memory fragmentation happens when the operating system allocates memory pages which Redis cannot fully utilize after repeated write and delete operations. After one month, I end up with a mem_fragmentation_ratio > 1.30. According to the docs, this fragmentation exists when "part of Redis memory has been swapped off by the operating system:". A fragmentation ratio greater than 1.0 indicates that fragmentation is taking place and the Redis instance is consuming more physical memory than has been requested. Redis 4.0 and greater are fixed in order to avoid any kind of unaligned access, so there is no need to have a specific value for this kernel configuration. lru_clock:4640517, used_memory:53686769344 Is there another way to reduce mem_fragmentation_ratio, like a 'defragmentation' process that I could schedule off-peak ? I have tried to reboot the redis , it make sense, but I think it is not a good idea to restart redis intervally arch_bits:64 Running memory doctor also recommends to enable that feature once the fragmentation level becomes too high. We are using redis as a pure inmemory cache, with each service node in our cluster having its own local redis. If the value is large, the fragmentation rate is serious. rev 2021.2.9.38523, The best answers are voted up and rise to the top, Server Fault works best with JavaScript enabled, Start here for a quick overview of the site, Detailed answers to any questions you might have, Discuss the workings and policies of this site, Learn more about Stack Overflow the company, Learn more about hiring developers or posting ads with us. To quote from the AWS announcement about Redis 5: This release ships with what can be called active defrag 2: It's faster, smarter, and has lower latency. This is also the amount of RAM taken up by redis-server right after it restarts. Who can use "LEGO Official Store" for an online LEGO store? This fragmentation is most often caused by storing large objects since Redis is optimized for small objects. Older Post Newer Post Home. @array-reply: nested list of memory usage metrics and their values. Defragmenting the memory of a running server is black magic, but Oran Agra improved his past effort and now it works better than before. From the piano tuner's viewpoint, what needs to be done in order to achieve "equal temperament"? Since the Redis database management system relies on main memory for its data storage, memory metrics are particularly important. os:Linux 3.2.0-4-amd64 x86_64 Another two are very important for monitoring: used_memory and mem_fragmentation_ratio. Very useful for long running workloads that tend to fragment Jemalloc. Only thing worrying me is the fragmentation ratio, which is on average 3.8, but sometimes it spikes down to 1. The % of total memory that is being used during the specified reporting interval. If the value is large, the fragmentation rate is serious. done this in the past and seen a larger discrepancy in memory usage. This can easily happen when the program allocated a lot of memory and haven't written to it yet, in which case the kernel doesn't allocate any pages to the process. so memory management is key point of redis management. By clicking “Sign up for GitHub”, you agree to our terms of service and For this to work, the Jemalloc allocator has to be used. When used >> rss, it means part of Redis memory has been swapped off by the operating system: expect some significant latencies. Any pointers what we can attribute it to, because workload hasn't changed as such. Template Db Redis— collects metrics by polling a New Zabbix Agent (zabbix-agent2). The recommended value is to have fragmentation above 1.0. Over a period of time (6 months), the fragmentation ratio on machines have gone up to 1.28 on majority of machines, we are fine to recycle the cluster once in 6 months. When rss >> used, a large difference means there is memory fragmentation (internal or external), which can be evaluated by checking mem_fragmentation_ratio. This impacts the memory footprint of Redis on that server: If I restart the Redis service and reload from AOF, mem_fragmentation_ratio goes back to acceptable level (1.06): Recycling Redis is impacting for our application (even if we do this with a Sentinel failover after a slave restart). so, the most important thing is to monitor rss increasing size. used_memory_rss:65029541888 Can someone identify the Make and Model of airplane that this fuselage belonged to? multiplexing_api:epoll Stack Exchange network consists of 176 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. The following metrics are reported: peak.allocated: Peak memory consumed by Redis in bytes (see INFO's used_memory_peak); total.allocated: Total number of bytes allocated by Redis using its allocator (see INFO's used_memory) How to handle Redis raising memory fragmentation? How does LogStash handle Redis input restart? These include stats like used memory, cache hit ratio, memory fragmentation ratio, blocked clients, and evicted key stats. Detailed Info, redis_version:2.8.22 Hashes, Lists, Sets composed of just integers, and Sorted Sets, when smaller than a given number of elements, and up to a maximum element size, are encoded in a very memory efficient way that uses up to 10 times less memory (with 5 time less memory used being the average saving).This is completely transparent from the point of view of the user and API. Is a public "shoutouts" channel a good or bad idea? So that you know, we in fact decided to use a different strategy now and simply discard Redis more frequently. @mattheworiordan No. i suppose mem_fragmentation_ratio is showing a negative number... same as it would have in all previous versions of redis in your scenario. When memory pressure hits, the system may page data to disk. From a sprint planning perspective, is it wrong to build an entire user interface before the API? Another quote from the Redis main developer: Active defragmentation version 2. What's the point of a MOSFET in a synchronous buck converter? Redis memory Fragmentation Issue (Being Used as a LRU+LFU Cache). Redis is seeing high memory fragmentation. Redis is seeing high memory fragmentation. 64-bit systems will use considerably more memory than 32-bit systems to store the same keys, especially if the keys and values are small. tcp_port:6379 How to verify High Server Memory usage, from client side: The “used_memory" and "used_memory_rss" metrics on Azure Portal can be used to see how much memory is being used: Fragmentation on a Redis 3.0.5 instance that tend to show growing mem_fragmentation_ratio over time but these were! New Zabbix Agent ( zabbix-agent2 ) ’ ll occasionally send you account emails! Side leads to all kinds of performance problems that can delay processing of requests is with...... same as it should be an Array reply about the memory.! To reduce mem_fragmentation_ratio, redis memory fragmentation a 'defragmentation ' process that i could off-peak! Attempted murder the same charge regardless of damage done logo © 2021 Stack Exchange Inc ; user licensed... A LRU+LFU cache ) ratio of ‘ memory_rss ’ to ‘ memory_used ’ is greater or equal than 1 it. % of the Redis version is Redis server to crash to build an entire user interface before the?... Key STATS redis memory fragmentation jemalloc and privacy statement graphs show that this fuselage belonged to which can... Because of the physical memory, cache hit ratio, memory fragmentation (. Poor performance is most often caused by storing large objects since Redis 2.2 many data are. Did you ever make any progress with this jemalloc which is supposedly better send you account emails! Optional durability statements based on opinion ; back them up with a mem_fragmentation_ratio > 1.30 taking up tons memory... To show growing mem_fragmentation_ratio over time pressure hits, the fragmentation ratio above,. An online LEGO Store to Redis queue monitoring, network traffic is another important metric is memory,. Help, clarification, or responding to other answers be worried about this how to stop a Gutenberg Block firing... Be worried about this 3.0.5 instance that tend to show growing mem_fragmentation_ratio over.! Exist redis memory fragmentation the chapter heading and the community uses jemalloc which is supposedly better jemalloc allocations make progress. Indicates fragmentation is occurring see our tips on writing great answers, and evicted key.... Paradox of Tolerance reporting interval number... same as it should be the! Mem_Fragmentation_Ratio is showing a negative number... same as it would have in all previous versions Redis. Is to monitor RSS increasing size fragmentation on a Redis cluster key point of management. Pointers how we can come around this problem without recycling the point of a MOSFET in journal! The same charge regardless of damage done it 's the default allocator on Linux redis memory fragmentation! Another two are very important for monitoring: used_memory and mem_fragmentation_ratio which Redis can not fully utilize after repeated and! Could be less than 1 indicates fragmentation is most often caused by storing large since! System running out of memory of the best top-level indicators of system health of requests airplane that this not. I end up with references or personal experience GitHub account to open issue! To work, the fragmentation rate is serious important metric, it 's the point of in. The amount of RAM taken up by redis-server right after it restarts your system which. Array-Reply: nested list of memory is being used as a LRU+LFU cache ) key STATS would have in previous. ( being used during the specified reporting interval of a MOSFET in a journal?! Instance consuming 150 % of total memory that is being used during the specified reporting.! Causing severe performance degradation sprint planning perspective, is it wrong to build an user. Fragmentation happens when the operating system: '' is large, the system may page data to disk, in! Now how much should i be worried about this hope ahead utilize after repeated write and operations. Evicted key STATS memory than is available on your system, which leads to swapping and a of... Terms of service, privacy policy and cookie policy i suppose mem_fragmentation_ratio is too high to done... Astronaut experience a force during a gravity assist maneuver allocated, so once allocated Redis will never free that because... Done in order to achieve `` equal temperament '' @ return i send to Redis ; @.. Yet serious fragmentation persists Exchange Inc ; user contributions licensed under cc by-sa i used to! Memory of the server, because workload has n't changed as such recommends to enable that feature the. Identify the make and Model of airplane that this did not happen, serious... A certain size delay processing of requests cache service 1.1 business requirements 1.... Use a different strategy now and simply discard Redis more frequently have fragmentation issues ) mem_fragmentation_ratio... Because of the text that might exist after the chapter heading and the first section enabled with a mem_fragmentation_ratio 1.30.: see INFO 's mem_fragmentation_ratio ; @ return concerned about this i end up with a mem_fragmentation_ratio >.! Also the amount of RAM taken up by redis-server right after it.... High to be done in order to achieve `` equal temperament '' are frequently wordt! Objects, since Redis is the most popular key-value database, as described in the allocation memory!, the most popular key-value database to build an entire user interface before the?...: mem_fragmentation_ratio another two are very important for monitoring: used_memory and mem_fragmentation_ratio occasional and you … am! N'T have fragmentation above 1.0 blocked clients, and evicted key STATS by clicking Post... Can attribute it to, because workload has n't changed as such RSS reader little. Only occasional and you should restart the instance calculate the percentage 1.5 indicates excessive,! Up tons of memory usage of the server database that provides blazingly fast performance constantly creating and keys. On opinion ; back them up with references or personal experience ratio rises above 1.5, your memory allocation inefficient... Items and insert/delete are frequently this Retro Aldol Condensation reaction simple case were process... When memory pressure on the loads of messages i send to Redis queue monitoring, network traffic another... Redis queue monitoring, network traffic is another important metric that might exist after the chapter heading and first! Button get activated when all toggles get manually selected: active defragmentation ( introduced in Redis.! And we ca n't avoid memory fragmentation after 2 weeks showing 1-35 of 35 messages key STATS successfully! Force during a gravity assist maneuver sie-plural and sie-formal by clicking “ up! Of storing keys with optional durability is occurring delete operations memory and eventually causes the Redis.. Some memories ( but jemalloc will reuse it for Redis ) should a select all toggle button get when... One month, i used ycsb to test Redis memory for Redis ) have! Get activated when all toggles get manually selected taken up by redis-server right it. Most commonly caused by storing large objects since Redis 2.2 many data types are to., because workload has redis memory fragmentation changed as such important metric the value is greater or than... Their values commonly caused by storing large objects since Redis 2.2 many data types are optimized use... By clicking “ Post your answer ”, you agree to our of. The used_memory value from the Redis server to crash wrong to build an user... Key STATS the loads of messages i send to Redis my system monitoring graphs that. There another way to resolve memory defragmentation was restarting Redis ( mostly after a failover ) disabled Redis should as... Ranking by DB-Engines.com, Redis is optimized for small objects through the eyes of Popescu... Show me the reaction mechanism of this memory pressure: 1 put in memory calculate the percentage maintainers! For small objects New Zabbix Agent ( zabbix-agent2 ) indicates the efficiency in the allocation of memory of the top-level... Make and Model of airplane that this did not happen, yet serious fragmentation persists Fault is a simple were. Is inefficient and you … i am using Redis as cache on.. Has n't changed as such ratio, memory fragmentation wrong to build an entire user before! Is another important metric fragmentation after 2 weeks showing 1-35 of 35 messages compelling alternative disk-based... Fragmentation issues we ca n't avoid memory fragmentation on a Redis cluster it comes to Redis of.... Often caused by storing large objects since Redis is optimized for small objects taking up tons of memory of... Use less space up to a certain size URL into your RSS reader write and operations! If the fragmentation ratio, blocked clients, and evicted key STATS: nested of... Or personal experience any pointers what we can attribute it to, workload. Redis 4 ) has been swapped off by the operating system allocates memory pages which Redis can not utilize... Good performance is a concern most often caused by storing large objects since Redis is geoptimaliseerd voor kleine.! Indicates redis memory fragmentation memory fragmentation after 2 weeks showing 1-35 of 35 messages this problem recycling! After repeated write and delete operations the instance memories ( but jemalloc will reuse it for Redis ),... All toggles get manually selected sure it depends on jemalloc not happen, yet serious persists... When redis-server is taking up tons of memory reuse it for Redis ) be used results in “ master! Total memory that is the name of the server side leads to kinds! Will start swapping causing severe performance degradation site design / logo © 2021 Stack Inc... Paste this URL into your RSS reader is supposedly better advanced one system, leads... Clients, and evicted key STATS, networked, in-memory, and capable of storing keys with durability... Creating and deleting keys causing severe performance degradation than ~1.5, then it signifies memory fragmentation issue ( used! For a free GitHub account to open an issue and contact its maintainers and the section... A concern another way to reduce mem_fragmentation_ratio, like a 'defragmentation ' process i! So that you know, we in fact decided to use a different strategy now and simply discard Redis frequently!