Influxdb high memory consumption. Normal RAM usage is about 22 MB's, and with 1.

Influxdb high memory consumption 2GB to maybe 800MB. We are running a stress test with importing certain amount of history records from scratch using InfluxDB v1. I wanted to use retention policy but as far as I know newly created RPs only affect newly inserted data. Given that both query-initial-memory-bytes and query-memory-bytes are available options for InfluxDB v2, I assume the first option specifies how much data is initially allocated for a given query, but more can be allocated if needed, up to a maximum of query-memory-bytes. I didn't have that problem before, not that I was aware of Hello All, We are using Influxdb OSS v2 as our time-series database in our startup. InfluxDB 1. totalCapacity. 7 to save some prometheus metric data. You can't rely on free output in your case as InfluxDB memory maps its data and memory-mapped pages are counted as Cached/Available and not as Used. So more the double the memory usage for the same database on the same server. Measuring series cardinality If you experience performance slowdowns or see an ever increasing memory usage in your Timestream for InfluxDB may require high amounts of memory for high cardinality data (~10KB of memory per time series) and memory requirements may grow exponentially with the number of unique time series. I was using a version from early 2020, updated to see if would improve and nothing. Never had high CPU usage, but now I'm around 200 to 250% all the time. Closed Copy link zbindenren commented Jun 20, 2016. 5 (Maipo)” . 1 2:07. It uses minimal amounts of real memory (RAM), it effectively uses RAM as a cache for the disk, and the kernel can easily evict the data from RAM because it can fetch the data back from disk when needed. Support for Real-Time Queries: InfluxDB is designed for quick queries, making it an excellent choice for real-time data analysis tasks. These use a lot of memory - usually around 60GB or so, each, but sometimes increasing to about 90-100GB. 8. On some instances, we have noticed that the OOM killed are occuring at the same hour. In this article, we will guide you through the process of identifying and removing data older than a certain year. I notice that as I start populating data, the service will go down after a while. Persistence Services. And its buff/cache usage is very high. 10. RAM consumption was still high but remaining within acceptable values. Having constant and reliable data on The InfluxDB v3 product line has seen significant enhancements in query performance and has made new management tooling available. x as a docker container, and I have configured the influxdb. 04 LTS. Use top view：RES 11G SHR 9G. I’ve attached a graph showing the regular nature of this event . The gap in data between 20-24th September is when I turned off influxdb to see if it was Proposal: configure db use max memory Current behavior: influxdb USES a lot of memory Desired behavior: configure max memory Alternatives considered: Describe other solutions or features you considered. O3 write performance, and overall memory usage, may be improved by decreasing this value within the range [128K, 8M]. 78 My own $0. 0 seems to reduce the issue a bit, influxdb now use a lot less memory on startup and manage to stabilize itself around 580MB, it stayed that way the whole night but as soon as I queried the data back this morning to check how I am running the influxdb in the docker container and when I check the process usage, I could see the influxd process taking high memory consumption even if it is not used. Despite some initial attention, it seems many of the reports are now running out of solutions. It has 3 buckets and a total of 70G files are occupied. You might need to adjust these metric names based on the available After about 2 hours of uptime, InfluxDB memory usages spikes from 1. [solved] Influxdb suddenly high memory consumption. 3/0. 2: 1492: May 24, 2024 InfluxDB memory usage. These metrics could be used to optimize the memory usage of your application and improve user I am using InfluxDB to store daily series for a bunch of fields. This is a Java program which writes to influxdb. So if HI Team, I have influxdb-1. — You are receiving this because you were mentioned. Third party integrations. cardinality(): Flux function that returns the number of unique series keys in your data. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company This usually occurs when the JVM enters full garbage collection (full GC). Your free output shows 20720mb of cached memory. Any data is more valuable when you think of it as time series data. If an application requires memory, the OS will release memory used by the page cache for it. The goal of the test is to discover the needed parameters to set and the hardware spec in order to gain the best out of InfluxDB. I cannot find a notice that indicates this setup should result in a high RAM usage at all Does anyone have a hint on what could be wrong here? Thanks and all the best! b- To: influxdata/influxdb Cc: Matthew Meredith; Mention Subject: Re: [influxdata/influxdb] InfluxDB high memory usage and very slow to start . 4 We have a database of 8GB size on a server with 4 CPUs and 12GB of memory After 5 minutes, InfluxDB take 11GB of mem High series cardinality is a primary driver of high memory usage for many database workloads. To reduce memory usage, you can switch influxdb behavior to store index on disk. Hi! After running a large SQL query, the memory usage can go very high. 3 OSS. 9 on a 512Mb cloud server), will try downgrading soon if it continues to be the case. Limitations of InfluxDB. The RAM usage by influxdb went high (around 80%). 2 to 0. The spikes are about 30 mins apart and while the consumption comes down eventually, influxdb freezes and stops responding to any requests (via InfluxDB java client or over http). Drop Series Cause Write Fail/Write Timeouts/High Memory Usage. The Java runtime is always trying to free memory that is no longer being used, but sometimes it can't clear memory faster than it is being used. 15-amd64 x86_64. Viewed 1k times 1 . Memory usage immediately substantially higher causing major service disruption. One of the reason influxdb uses lots of memory is because, by default, it stores indexes in memory. The following is relevant information. I am running this database on a 30GB memory instance at Rackspace. I understand that this is the index. Config option docs are here. I have to find which service is getting more memory; Actual behavior: There is increasing the memory usage. Influx seems to crash, process still running, but requires a reboot or a restart of the service to be usable. You can now control the result memory usage only by reducing the result columns or rows (by limit, time, or aggregations). To prevent this, adjustments were made to InfluxDB’s configuration file, influxdb. I already configure influxdb. with InfluxDB, the #1 time series platform built to scale with Telegraf. And there comes a moment when the resources of Kubernetes end and POd with Influxdb falls into an endless reboot cycle. we are using influxDB for long term data storage, around 3 years of data. How to Hi I have problem with my influxdb. InfluxDB 3 Enterprise is a commercial version that builds on Core’s foundation, adding historical query capability, read replicas, high availability, scalability, and fine-grained security. Nobady have this problem? mr I had the same issue of high influxdb cpu usage, running current hassos with the Slow aggregation query and high cpu consumption in influxDB. Again started writing data to influxdb in batch of 10k records but in a different database. System info: Run uname -srm and copy the output here Linux 4. Until the server froze this morning. Open wtupc96 opened this issue Sep 12, 2023 · 0 comments Open It's weird that the dataset on disk is only about 6~7G, and I don't know why it consumes After staging 30 minutes memory is going high and influx dying because of OOM. Another interesting point is that we I am relatively new to time series db world . average should give you the total memory capacity of the host. Hi I am using Hassos and few days ago influx DB started to use 25% of my cpu (rpi4) I wasnt woried because its only Any data is more valuable when you think of it as time series data. 6 to 1. Despite the hardware is limited with just 1GB RAM (raspberry pi 3B+), seems the swap was untouched. Store. 0-0. 5 and TSI, RAM usage maxed out at 30GB and started using about 18GB of swap. 0. However, with top command i found that 3. The cardinality is determined by the number of measurements and tag combinations. 8G memory space has been occupied by influxDB process. 04 (1 CPU, 1 GB). 5 but this behavior can be seen in 0. Also, the memory usage is a bit odd. 9: 14736: June 4, 2023 Seems that randomly Influxdb starts to consume resources (cpu, ram, and write operations). Total size of db is around 2. tsi fileI recommend pointing the user toward pprof: InfluxDB runtime | InfluxDB OSS 2. Nothing else changed. Telegraf runs at an interval of 10 seconds and sends data every 10 seconds to influxdb. At a Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company InfluxDB storage engine, in-memory indexing, and the Time-Structured Merge Tree (TSM) in InfluxDB OSS. InfluxDB didukung oleh Bahasa Go dan dioptimalkan untuk Whether you’re tracking neuron behavior in the brain at nanosecond resolution, monitoring large and ever-changing infrastructure that supports business-critical applications, tracking real-time behavior of However, high cardinality may be causing memory issues. high memory usage and Ultra-long response in 0. my machine have 16G memory, the influxdb may restart to occupy 7-8G, then it consume more and more memory as promethus keep writing data into it unit it OOM killed by OS. 72! influxdb We have an influxdb VM that has been on constant SWAP usage. Some data: sudo du -sh /var/lib/influxdb/wal/ InfluxDB is a memory-intensive application. 1 (git: 1. An OOM loop will occur as a result of a repeated issuance of a query which exhausts memory. Hello. 7GB, but still showing a long-term average Abstract: Learn how to reduce high memory consumption in an InfluxDB instance by deleting old data. 6) to one of our staging environments (v1. I went about a month for me 0. These enhancements include an operational dashboard to monitor the health of your InfluxDB cluster, single sign-on (SSO) support in InfluxDB Cloud Dedicated, and new management APIs for tokens and databases. Attached is the how-to guide along with the High memory usage(7. However, pivot significantly degrades performance when there is a lot of Hello everyone, I have set up an InfluxDB instance on a VM running Ubuntu 18. How to I’ve for years been battling the dreaded “out of memory” crashes in Influx, and following the relevant reports and advice. The large resource usage does not come from telegraf, but from the time series backend (influxdb, prometheus, etc) In cases where the memory is limited ( < 4gb) storing and slicing the series generated by all the processes can Hello, I am using InfluxDB 1. I still have this server configured to 2GB of memory but I would like to bring it back down to 1GB. Make sure to allocate enough memory to your InfluxDB instance. The docker-compose. My influxdb server consume 16 Go and I only write 2k-5k serie /s On previous version (not TSM engine) I consume between 2Go-4Go of memory I open new issue ( i writed in #5685) Start InfluxDB. What we faced is after several queries to the database, our Memory (RAM)usage goes up and never High series cardinality is a primary driver of high memory usage for many database workloads. Use the following to measure series cardinality of your buckets: influxdb. 1. See this article, which compares RAM usage for InfluxDB and VictoriaMetrics for various cardinality levels – valyala. However, the memory usage InfluxDB would always consume increasing amounts of RAM on startup until crashing with an OOM-Exception. Even if the VM is restarted the swap usage jumps to 100% within 20 minutes. InfluxDB supports the following: local file system (file), memory, S3 (and compatible services like Ceph or Minio) (s3), Google Cloud Storage (google), and Azure Blob Storage (azure). 5: 2671: July 27, 2024 [question] Influxdb RAM usage. InfluxDB Memory Consumption? We have been weaning off influxdb slowly and migrating entirely to Mimir however i have noticed even as we have been shedding load off influx over the last few months it is still super memory hungry compared to Mimir and Loki. I'm also somewhat struggling with my pet influxdb's increased memory consumption and disk io spikes (which I upgraded from 1. We are running Influx DB in Docker containers with 256Mo allocated. Is there a command to force the influxdb to do the cleanup (or garbage col I’ve decided to remove unused measurements from my Home Assistant and also migrate 1 of them from an old name to a new name. 2 #6630. Hello Community, we are using InfluxDB in our project and we are experiencing OOM Killed more than frequently. Please check the next pictures. InfluxDB 2. 7. This will help determining the source of high memory usage at InfluxDB. 11, 0. when the influxdb data dir come to 15G or higher, memory usage problem become very obviously. I worked around this issue by provisioning 40GB of RAM instead of the usual 8GB on my google VM, and memory consumption during export of a Yes. 9 container_name: influxdb hostname: influxdb InfluxDb began to suddenly consume all the memory on our box. These are the latest logged lines. I can start influxd but I can not conn I use influxdb 1. sudo du -sh /var/lib/influxdb 406M sudo du -sh /var/lib/influxdb/data 495M. Expected behavior: Virtual Memory usage should not keep increasing. 1: 5381: May 6, 2024 Out if Memory but 1GB of Memory Left. It occupies 66% of the memory. Ahaa! The situation was now much healthier than before, memory growth just about topping out at 1. I see that InfluxDB is pegging the CPU. Prevent deadlock when doing math on the result of a subquery. mr-varga (Mr-Varga) January 26, 2020, 2:08am 2. This is a problem with InfluxDB. In practice, my influxdb instance is killing queries which attempt We’ve been running influxdb in production for about 6-8months and in dealing with some memory issues I noticed the CPU usage has been rising steadily this week to the point where performance on our Grafana graphs is being impacted. Under memory pressure, these memory Hello together, when trying to reduce the memory usage of a small scale database by reviewing the behavior changes of different config parameters, there are some strange effects visible: The starting point on a silent plain database system (neither writes nor reads have been activated): (a) A minimal system by turning off any unused services like subscriber and Due to this large number of series, our current influxdb memory usage Always high。 After our observation and analysis, after the service has been idle for a long time, the data has basically been eliminated due to the expiration mechanism, and the memory usage is still high. 4 memory usage. I started to notice since my upgrade to 0. Last few days we have notices Memory usage is suddenly high, these are hardware parameters :- total used free shared buff/cache available Mem: 94G 93G 439M 120M 661M 384M Swap: 19G 3. 13 and memory usage and load have increased substantially Nothing else seems out of the ordinary, no errors in logs etc. The memory used by influxdb is high and the machine is down. I shut down OH and grafana and restarted Influxdb. And there comes a moment when the resources of Kubernetes end and POd with Influxdb fall System info: InfluxDB 1. I was bitten by the out of memory errors of the Raspi 32bit kernel and thus enabled the 64bit kernel. 6GB/8GB) followed by timeouts and then so damn slow that it makes me wait for more than half an hour for a 5 minute execution time. This dropped my memory usage from something like 1. Currently, we are using InfluxDB 2. Currently I am facing a issue of high CPU usage by influxdb, the CPU jumps to 80 to 90% and creating a problem for other process running on same machine. 5: 4437: November 16, 2023 Influxdb memory issue. This means that increasing the There are a lot of things that might cause InfluxDB to use a lot of memory. 2. 78 influxd I opened an issue on GitHub just in case. I want to delete data older than a year to reduce memory usage. I have recently deployed the influxDB using the docker image. For best results, InfluxDB servers must have a minimum of 1000 IOPS on storage to ensure recovery and availability. I turned off all systems that were pushing data to InfluxDb I updated from InfluxDB 0. As part of our business requirements, we are storing points (or data) of events. Every now and then I would get a high memory consumption warning, but nothing critical. The whole 1GB of data was written. I need help on the CPU usage trend of influxdb. See these official docs for details. 12, 0. Hi we have upgraded Influx to 0. 9). To make sure anyone else reading this thread understands what is going on, the two approaches have exactly the same effect:. For example, a dashboard cell Starting around 3-4 weeks ago my hass. x there was a known issue where the built-in unused influx database instance would consume additional memory. To start your InfluxDB instance, use the influxdb3 serve command and provide the following:--object-store: Specifies the type of Object store to use. This is puzzling since (as far as I can tell) there's no reason for the query load on the DB to have changed. Commented Oct 12, 2019 at 20:48. 1. But my CPU Usage increases suddenly after some time and remains high. Pendahuluan. Took some minutes then memoryusage of influx increased. In order to solve this problem, a memory optimization method for high cardinality based on InfluxDB is proposed. Prior to this, I never had spikes and averaged about 2. Hello, I have a couple of weird issues restoring a backup made on our production instance (v1. 0 79. I have two InfluxDB 1. when auth is enabled then decreases the memory uses. 5) in docker with a constant load at all times. When I use the influxDB for inserting the data, the memory usage goes very high and not getting released even after the process is completed. 02: I don't think trying to reduce virtual size is a good idea. Background the pi4 has been running fine for over a year, influxdb included. We are The mem. Total memory is 30GB. Since I was hit b Using Telegraf 1. 13). Regarding the memory used by data, I want to limit the high memory usage of influxdb. To find the CPU usage MAX and check the memory usage at the same timestamp, it seems that using pivot followed by CPU MAX would work. 8-1. when handling a heavy workload, time series databases consume a lot of memory, resulting in a drop in read and write performance. An abridged list appears below. Modified 4 years, 8 months ago. This means that batching points together is required to achieve high throughput performance. To help out, I increased the size of the swapfile to 1GB (it’s What is queried and how it’s queried can drastically affect the memory usage and performance of InfluxDB. It is a recent-data engine for time series and event data. Unfortunately, we’re pretty much stuck in the same After my migration one of the servers started reporting very high memory usage and it turned out to be the InfluxDB container growing more or less indefinitely. InfluxDB isn’t tested on hard disk drives (HDDs). 2GB Memory consumption of InfluxDB is currently 92% and still growing, without any other activity going on. conf file as a default config. All reactions. 9 (32bit binary) on a Raspberry Pi 4, 4GB RAM, 64bit kernel (aarch64). memory_usage (float) memory_vms (int) minor_faults (int) nice_priority (int) Collect, organize, and After performing the migration to TSI I am still seeing high RAM usage, Grafana becomes quite slow and even unusable at time. I am relatively new to time series db world . 9 GB with low cardinality. This database instance is not needed and thus can be removed. I create a github issue influxd keeps high memory usage · Issue #21965 · influxdata/influxdb · GitHub, We don’t have any problem for writing data to the database. The box I'm running only has about 10GB of ram, which was never an issue in the past; however, on the new release I notice that memory usage constantly goes up during the day until an OOM at night (current trend). 2 & Grafana (from ThomDietrich) on a RPI3 since some days What is queried and how it’s queried can drastically affect the memory usage and performance of InfluxDB. At those times influxdb is using a lot of CPU and memory and the load average is in excess of 20. 08% CPU usage. 6G 16G Total cpu allocated :- 8 please suggest how we [Influxdb v2. conf. average metric gives you the percentage of memory usage. The memory consumption is at 100% of what the server has available, and the UI is unavailable. x86_64 , and running on “Red Hat Enterprise Linux Server release 7. In the below picture, the CPU usage rises to 68% after every 2 minutes. thank's @jonseymour. influxdata. For example, a dashboard cell The RAM usage depends on the cardinality of your Influx instance. com/influxdb/v1. A good rule of thumb is to allocate at least 8 GB of RAM for a single Important: I had to get this up and running so I dropped the measurement with 8M records (otherservice_api_log). 7, upgraded from 1. Click The following is relevant information. I imagine outflux executes something like SELECT * FROM measurement. You can use OS level settings to change how much memory is available for mmap. This kind of queries are documented to exhaust memory resources on InfluxDB hosts influxdata/influxdb#9313. Other than moving to a SSD for boot, the only other thing I have done was started using a program "UnPoller" which The host-vm has 8GiB of RAM and 4GiB of Swap which fill up completely. We did not begin pushing any new measurements / data or anything that would result in an increase in series cardinality. 4: 336: January 30, 2023 System info: InfluxDB 1. Root Causing InfluxDB's High Memory Usage. If I create more databases (it doesn't matter if they are empty or not) the memory usage increases dramatically. Higher Memory Usage: This database uses more memory than Saved searches Use saved searches to filter your results more quickly The sourcedb database in the filesystem takes up 9. 7/concepts/storage_engine/#storage I already restarted the Influx service to clean the memory, also deleted the WAL folder but the memory consumption is still high. 2 A machine with 100% disk usage will not function properly. Similar problem here. Our InfluxDB version is 1. 7, but I don't know what my previous version was. 3 (git: 1. Windrad (Ingo) February 19, 2017, 11:27am 1. The configuration file approach: Fig 3 Memory usage with UEID as a tag (InfluxDB 0. Also, I tried to use influxDB with TSI and nothing to happened, the same memory usage increases dramatically. 9 (and has same issue with InfluxDB 1. and monitoring memory consumption is an important metric to ensure performance of your systems. Normal RAM usage is about 22 MB's, and with 1. InfluxDB version: InfluxDB v1. x. while checking heap usage it's showing around 1g. Add-ons. conf to reduce memory usage. Virtual memory, in this case memory-mapped files are a good thing. 8 v1. Telegraf CPU Spikes - YouTube ##### InfluxDB high CPU usage. The mem. My particular issue is very low load (cardinality <1000, data insertion rate < 1 point per minute, queries < 1 per I’m storing CPU usage and memory usage at 1-second intervals with the same timestamp under the _field → cpu_usage and mem_usage fields. Actual behavior: Virtual Memory keeps growing up to 32GB, killed by kernel afterwards. 9: 15046: June 4, 2023 Limit RAM consumption of InfluxDB (in a Docker container on an ARM device) InfluxDB 2. There are around 5k measurements in my influxDB, and # of series is around 5k also. usage. 3 that my memory usage has gone up significantly. 7 OSS] Super high memory consumption #24365. When we see memory usage: free -h we see as: (Swap is at 100% despite of 59GB memory being available) total used free shared buff/cache available Mem: 123Gi 70Gi 567Mi 551Mi 52Gi 59Gi Swap: 9Gi 9Gi 0B If we look at This means that the table writer uses 16MB (2x8MB) RAM per column when it receives O3 writes. Use case: InfluxDB v2 High RAM usage and leading into OOM and constant restart. However, I am hitting write timeout whenever the memory hits 1Gib. Running on the standard Docker image. With our new storage engine we were able to achieve up to a 45x reduction in disk space usage from our B+Tree setup with even greater write InfluxDB - high memory utilization due to influx consuming excess storage on both nodes Hi Adil, in earlier releases of 4. According to htop cpu usage is always over 80% and load average is constantly over 7 The server is a Dell with dual quad Description: When running the Influx, the VIRT memory consumption rapidly increases ,and was eventually killed by OOM. 2 GB to 16 GB. zip. For context: Current version of Influx is deployed using Restart and monitored, Influx took all the memory. I cannot find anything about that setup being problematic in the documentation. 0-142-generic x86_64; InfluxDB version: Run influxd version and copy the output here InfluxDB v1. Below are my configs for the docker container &quot;Config&quot; The OS swapped out whatever unused memory pages it could and there is zero swap activity (si/so columns in vmstat) but still high memory and IO pressure. influxdb. Ask Question Asked 5 years, 7 months ago. 1) Other relevant environment details: Container runtime, disk info InfluxDB is designed to run on solid state drives (SSDs) and memory-optimized cloud instances, for example, AWS EC2 R5 or R4 instances. We are shipping data series to influx each 10Minutes. 8g with influxDB v0. I suspect OOM will be the final result. There’s no setting specifically for controlling memory usage within Influx 1. 5 image: influxdb:1. Also added a couple of sensors for Wi-Fi RSSI data (updated once every 10 At the same time, CPU usage reaches 200%, and memory usage also grows: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 21836 influxdb 20 0 8022072 6. The actual memory allocated to it is about 13G. After restart the machine. Depending on the size of your data this can mean large memory consumption, especially if you're using continuous queries. The process was killed by oom-killer. ralong (Oskar Gawlik) February 14, 2022, 5:05pm 1. Further investigation shows that the wal directory is growing until several hundred MB and somehow causing high CPU usage and high disk read, followed by high memory usage, causing the whole service to refuse any further Disk usage InfluxDB, Given that memory is typically 100x-1000x more expensive than disk, trading off high disk usage for lower memory may be worthwhile for certain After about 2 hours of uptime, InfluxDB memory usages spikes from 1. I had to manually restart influxdb and all resources return to normal behaviour. 9. It depends on the shape of your data and what queries are running. My config: 8vCPU,30G Ram Index file == . Hello, I have the Influxdb 1. 3 Documentation that some ‘memory usage’ of InfluxDB will be in the form of reserved memory (measurable by heap profiles / RSS size in top), and some memory usage is in the form of the linux ‘page cache’ backed by mmap’d files (mostly I have an influxDB instance with more than 4 years of data (∼ 600GB) which causes very high memory consumption (more that 100GB of RAM). Make sure you read through: https://docs. bpo. 6 instances. 5: 3205: July 27, 2024 InfluxDB 2. 6. 6: 1050: October 9, 2020 Memory consumption leading to queries timeout. 12. sh[10393]: ts=2021 System info: [Include InfluxDB version, operating system name, and other relevant details] InfluxDB Version: 0. influxdb, schema, influxql, performance. Screencapture of the issue. Our total database size is 3 GB, and we hadn’t any problem writing data to the database. 8 563e6c3) as our time-series database in our startup. Less than 2000. That means the OS is using free memory to improve file system IO by using the memory for the page cache. I didn't have that problem before, not that I was aware of atleast, but then again I had 32GB of memory on the old server and wasn't really paying as much attention to the resource Issues that can arise with InfluxDB include high memory usage and lower performance when using a high cardinality dataset. 5. influxdb, docker. I am running a Influxdb 1. Steps to reproduce: I upgraded a large InfluxDB server to InfluxDB 1. Ensure time and tag-based condition can be used with tsi1 index when deleting. Of course, that is paid by the time and complexity of your code. If you need reducing RAM usage for high number of time series, then take a look at another time series databases such as TimescaleDB or VictoriaMetrics. see details in below screenshot pls. I have to wait like one hour for the memory usage to go down to normal. There are other time series databases exist, which require lower amounts of RAM for high cardinality data. After running 2 months, the size of the data is 60G. Also, does influxdb uses RAM memory to cache the recently written and read data for fast Started writing data to influxdb with 10 million records with size of 1 GB but in a batch of 10k records. The only changes that I've made to the default config file are: Hello All, We are using InfluxDB v1. InfluxDB 3 Core, is our new open source product. 10 Operating System: Ubuntu 14. try more and yu Influxdb High CPU/memory usage every few days. Firstly i thought maybe the query trigger the high usage of memory, but the query only spend 2s at mostly. Environment info: System info: Linux 5. It’s risen a bit since then. This is an automated process in our case and worked until 2-3 weeks before. I’ve had two nodes (200gb each) that have been averaging 90 - 95 % at times and eventually it will I'm seeing heap usage is under 1g but RES is 3. But why after 2 minutes I don’t get it. InfluxDB high memory usage Could you please remind me how to rectify influxdb getting high memory usage, cannot find with search in slack, maybe using wrong key word? Something with setting a value in configuration file I gu At the same time, CPU usage reaches 200%, and memory usage also grows: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 21836 influxdb 20 0 8022072 6. 7 on Raspberry Pi 4 IoT devices, where we have a limited 4GB RAM available. 0g 828588 S 200. 2: 1393: January 27, 2021 Can't delete a series of data in Influx 1. 4. What options are there on the InfluxDB configuration side to reduce its memory usage? Collect, organize, and act on massive volumes of high-velocity data. After my migration one of the servers started reporting very high memory usage and it turned out to be the InfluxDB container growing more or less indefinitely. You can also join queries with smaller results to reduce the maximum heap usage caused by temporary objects. Some other posts InfluxDB memory usage. sloach August 14, 2018, 12:50am 1. However, note that the exact naming of metrics might vary depending on the vSphere version and how metrics are exposed by VMware. Next, click the drop-down menu for Startup type and select Disabled. 9 (git: 1. yml file section for the influxdb is given below influxdb: #image: influxdb:1. A smaller page size allows for a larger number of in-use columns, or otherwise frees up memory for other database processes to use. InfluxDB adalah sebuah database time series open-source yang dikembangkan oleh InfluxData. 4: 3616: May 1, 2017 Root Causing InfluxDB's High Memory Usage. I am hosting InfluxDB v2 high size on storage (delete data will not free space) InfluxDB 2. But after query to the database, our Memory (RAM)usage goes up and never comes down even after the query has finished! Even though there is no query or writing or any process on Influxdb. 20 but the issue also presents in other versions. 0: 3061: August 14, 2018 Influxdb 1. The more series and kinds of queries running will incur more RAM usage. 7 - high ram - I already restarted the Influx service to clean the memory, also deleted the WAL folder but the memory consumption is still high. BTW, did you try other solutions, which support data ingestion with InfluxDB line protocol? They may need lower amounts of memory. 2024-02-21 by Try Catch Debug High series cardinality is the primary driver of high memory usage in InfluxDB. I have read up a little bit on this, but still can’t find a solution to make influxdb useable again on my pi4 with hassos. io installation grinds to a halt and needs to be power-cycled every 2-3 days. Each time I restarted the process it would again be murdered. For example, http-logging was disabled so that logs of all POST and insert operations would not be stored, reducing disk usage. but it seems no effect. 1: 988: January 3, 2024 Disk usage grows rapidly after a few days, cleans up with restart. High memory usage on TSI mode. What you are seeing is mostly the way MMAP files and page cache consume memory. Now, when I boot up Influx, it seems to be stuck on loading the database index. I have deployed an InfluxDB 1. For big data, high memory usage #14698 Any data is more valuable when you think of it as time series data. I think things got worse when I upgraded to InfluxDB 1. Additional info: Default config InfluxDB v2 High RAM usage and leading into OOM and constant restart. By switching to TSI mode, we expect to decrease memory usage. Fix increased memory usage in cache and wal readers. Here is the config file. Indirectly, you can reduce data stored in Influx through a smaller retention period and/or downsampling. But now it happens again, regularly, and the system load skyrockets, POST requests time out and lose data: raspberrypi influxd-systemd-start. Influxdb runs with 1G memory(rss) at normal time, when the CQ runs it will ocuppied with 2G memory(rss). We have a very annoying issue with InfluxDB (no clustering). In a monitoring dashboard, high disk usage will appear in the Disk Utilization % metric and look similar to the following: Potential causes Old data not being downsampled. 7 23bc63d) Other . Influxdb does use a high amount of memory. . Measure series cardinality. I’ve had a problem with increasing memory usage over time - even with very limited read and writes. The collected data are replicated to another InfluxDB where we are storing these so we are storing only less data locally with low retention time. Search for and open the Services; Find SysMain service, right-click on it, and select Properties. 3 (latest Docker image on arm) Steps to reproduce: Hello, I am seeing a continous high CPU usage running this container on a Raspberry Pi 3. An OSS read-only user should be able to list measurements on a database. lbppw jgws jvx jihmglb qxjt bqai idzoi fobbq nwjz bmg