From 12fd0e4480cee76761f8d7098a3acfd6ee5de2ed Mon Sep 17 00:00:00 2001 From: Michal Kuratczyk Date: Fri, 17 Jan 2025 09:54:34 +0100 Subject: [PATCH] Blog: how are the messages stored? 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Not in Memory!" +tags: ["Classic Queues", "Quorum Queues", "Streams"] +authors: [kura] +image: ./classic-queues.png +--- + +It's time to retire the myth that RabbitMQ stores messages in memory. While it was true in the early days of RabbitMQ, +and an option for the last 10 years, modern RabbitMQ versions almost always write messages +to disk right away. In this blog post we review how different queue types store messages but the short answer is: not in memory! + + + +Let's start by clarifying what we mean by storing messages in memory, since it is not a precise statement. +If interpreted as "RabbitMQ uses memory to process messages", this phrase is certainly true. +When client applications send data to RabbitMQ, that data appears in memory buffers first (that's true for all +network-based software). It is also true, that RabbitMQ might cache some messages in memory, +for example to improve performance (again, true for virtually all software that needs to serve data). + +However, I keep hearing this phrase used to express concerns about message durability - if you power off the server, +your messages will be lost! In this context, modern RabbitMQ versions almost never store messages in memory. + +:::important +There is no configuration in which publishing 1GB of messages to RabbitMQ with no connected consumers, +would lead to 1GB of memory being used to store these messages. Some subset of messages can be cached in memory, +but messages are stored on disk. +::: + +We'll go through different queue types and discuss how the messages are processed, stored and when they are confirmed +to the publishers. Publisher confirmations are critical here - RabbitMQ doesn't offer guarantees for messages that +were not confirmed. If you haven't received the confirmation, you can't even know whether the message reached +RabbitMQ (the network connection could have failed for example). With that in mind, let's go through the different queue types. + +## Classic Queues + +[Classic queues](https://www.rabbitmq.com/docs/classic-queues) is the oldest kind of queues in RabbitMQ and the main source of "RabbitMQ stores messages in memory" misconception. +RabbitMQ was first released in 2007. Disks were significantly slower back then and therefore classic queues were designed +to try to avoid writing messages to disk. There was a whole bunch of settings to configure when RabbitMQ should +write messages to disk (a process called "paging") so it would not keep messages in memory indefinitely but indeed, +you could say RabbitMQ stored messages in memory back then. However, that was a long time ago. + +In RabbitMQ 3.6, released in 2015, the "lazy mode" was introduced. A queue configured to be lazy, always +stored messages on disk and didn't keep them in memory at all. This means that "RabbitMQ stores messages in memory" +was not true 10 years ago. It'd still do this by default, but it was completely optional. + +Lazy mode was removed in RabbitMQ in 3.12, released in 2023, but the default (and the only available) behaviour +changed and is similar to the lazy mode, although not exactly the same. Therefore, for over a year now, classic queues don't store +messages in memory and can't even be configured to do so. The myth is almost entirely false at this point. + +Almost entirely? So here's how classic queues work right now: they accumulate incoming messages in a small in-memory buffer +and write them to disk as a batch, as soon as the in-memory buffer is full. Since we don't know if more messages will come, +there are additional triggers that flush that buffer, including a flush after a certain number of batched messages +(even if they are too small to use the whole buffer) and after +a certain number of operations on that batch is performed. Additionally, the queue monitors how quickly messages are consumed +and makes decisions based on that (if there are fast consumers, more messages will be cached in memory). Finally, there's the +last-resort trigger which will flush the buffer every 200ms. So the absolute maximum of how long a message can be stored in +memory is 200ms but in practice, I've never seen this happen. Publishers usually receive confirms within a few milliseconds +and they are sent only after the message was written to disk. + +### But I See No Disk Activity When I Use a Classic Queue! + +Indeed, it's entirely possible to publish messages to classic queues and see virtually no disk writes nor disk reads. +How is that possible? It's an optimisation for a very specific, but relatively common case. As explained above, messages +can be briefly kept in memory but if there are active consumers that are waiting for messages (their prefetch buffer is not full), +messages that reach the queue are dispatched to the consumers immediately, without waiting for their batch to be written to disk. +A message that gets acknowledged by the consumer before this message's batch is written to disk, will not be written to disk at all, +because it simply doesn't need to be. Queues don't store acknowledged messages, so if the message is acknowledged before it is written, +it doesn't get written. If it's acknowledged after it was written, it's deleted from the queue (the actual removal from disk +will happen later, asynchronously, but it is considered deleted immediately). + +It's worth mentioning that classic queues have [two separate storage mechanisms](https://www.rabbitmq.com/blog/2024/01/11/3.13-release#classic-queues-storage-primer). +Messages below 4kb (configurable through `queue_index_embed_msgs_below`) are stored in a per-queue message store and messages above that threshold +are stored in a per-vhost message store. The optimisation mentioned above only works for messages that would be stored in the per-queue message store. + +So here it is, in modern RabbitMQ versions, classic queues store messages in memory for a very short period of time (milliseconds) +and no more than 200ms for sure. They may not write messages to disk at all, if the messages are small, +and consumed quickly enough, but this is just a performance optimisation. I'll leave it up to you to decide if that +qualifies as "RabbitMQ stores messages in memory", but I think a more accurate statement would be "when a message is delivered to +a classic queue, RabbitMQ writes messages to disk with a short delay". But yes, that means that for a brief moment, they are only in memory. + +### Surely, Transient Messages Are Stored in Memory? + +No. Again, things were different in the past but as of RabbitMQ 4.0, the only difference between persistent and transient messages +is when RabbitMQ sends back the publisher confirm. The messages are stored the same way as described above. + +For persistent messages, the confirm is sent when either of these two events takes place: +1. The message is written to disk +1. The message is delivered and acknowledged by a consumer (if that happens before it's written to disk) + +For transient messages, the confirm is sent as soon as the message reaches the queue and enters the in-memory buffer. +Since the message is transient, the guarantees are lax: the queue received the message, the publisher can move on. + +### What About fsync? + +`fsync` is a low-level file system operation that should ensure that messages are really written to disk. +There are multiple layers of I/O buffers between a user-space process such as RabbitMQ and actual hardware, including operating +system buffers and internal disk buffers. Performing a write without performing `fsync` doesn't guarantee that the data +will survive a sudden power loss. Unfortunately, `fsync` is a relatively slow operation, so any I/O intensive software has to +decide if, and when, to call it. While classic queues call `fsync` in some cases (for example, when RabbitMQ stops gracefully), +fsync is not performed before publisher confirms are sent. Therefore, even durable messages that a publisher received a confirmation for, +can technically be lost if the server crashes. If you need stronger guarantees, you can use [quorum queues](/docs/quorum-queues). + +## Quorum Queues + +From the initial release in RabbitMQ 3.8 (released in 2019), [quorum queues](https://www.rabbitmq.com/docs/quorum-queues) always stored +messages on disk. While the initial versions had an additional in-memory **cache** for messages, it was removed in RabbitMQ 3.10. + +The situation is therefore simple: if the publisher received a confirmation, this means the message had already been +written to disk and `fsync`-ed on the quorum of nodes (in the most common scenario of a 3-node cluster, that means +it was written and `fsync`-ed on at least 2 nodes). + +Since RabbitMQ doesn't offer any guarantees for messages that have not been confirmed to publishers, we could pretty much stop here. +However, for the sake of completeness, I'll mention that some messages are technically in memory: +1. The queue process has a mailbox (an Erlang/OTP concept) where requests to the queue process (such as enqueue/dequeue operations) +arrive for processing. The quorum queue process receives messages from the mailbox and processes them as a batch. When there's +a lot of requests, these operations may accumulate in the mailbox and therefore, assuming there are enqueue operations there, at this +point, some messages are only in-memory. However, this generally means RabbitMQ is at least briefly overloaded and +either way, these operations are usually processed within a few milliseconds. Plus, these messages are not confirmed yet. +2. Quorum queues rely on the [Raft protocol](https://raft.github.io/) and our [Raft implementations](https://github.com/rabbitmq/ra/) +stores the most recent Raft operations in memory. For enqueue operations this means that the message is in memory as well. However, +at this point the message is already written to disk and `fsync`-ed or it hasn't been confirmed yet. + +## Streams + +With [Streams](https://www.rabbitmq.com/docs/streams), the situation is even simpler than with quorum queues: Streams never supported keeping messages in memory, period. +The main difference between queues and stream in general, is that streams can be read multiple times and therefore consuming +a message doesn't remove that message from a stream. There's no point in storing messages only in memory, if we need to be able +to deliver them to consumers multiple times, potentially long after they were published. + +Streams do not perform `fsync`, since they were optimised for high message throughput. + +For completeness, just like quorum queues (and any other Erlang process), the stream process has a mailbox where requests to the stream +process arrive. There's therefore a moment where the messages are stored in memory for a short time. Once again though, +these are messages that have not been confirmed yet and they rarely stay in memory for more than a few milliseconds. + +## MQTT QoS 0 Queues + +RabbitMQ 3.12 introduced [Native MQTT support](/blog/2023/03/21/native-mqtt), and as part of that work, a new queue type was introduced, +specifically for MQTT QoS 0 consumers (you can't explicitly declare a queue of this type, you have to create an MQTT QoS 0 subscription). +Since QoS 0 basically means best-effort but no guarantees, QoS 0 messages are not written to disk at all and are delivered directly to the +consumers that are present. Effectively, there's no queue at all (beyond the Erlang mailbox). Messages received from the publisher are +immediately delivered to the consumers and removed from memory. + +Does this qualify as storing messages in memory? I'd say it doesn't - the messages are in memory initially, simply because +that's how computers work, and are removed from memory as soon as they are delivered to the consumers. We don't really store +them in memory - we just process them and never write them to disk in this case. You can disagree and say that this is exactly +what "storing messages in memory means" but even then - this only applies to MQTT QoS 0 usage and the messages will generally stay +in memory for no more than a fraction of second. + +## Message Metadata + +So far I focused on message bodies, since that's what people usually mean when talking about storing messages in memory. However, +RabbitMQ also needs to keep track of the messages that are currently present in the queues. For example, when a queues has a defined +[`x-max-length` limit](https://www.rabbitmq.com/docs/maxlength), RabbitMQ needs to keep track of the total size of all the messages in the queue, +so when it delivers a message, it keeps the message size (but not the message body itself) in memory, to just subtract it quickly +from the total size of the queue, once the consumer acknowledges the messages. + +This kind of metadata is stored differently by different queue type, but even when stored in memory, it will consume +significantly less memory than the message bodies would and doesn't change any guarantees about the message durability. + +Here's how we store the metadata for different queue types: +* Classic queues + - for messages stored in the per-queue message store, no data is stored in memory + - for messages stored in the per-vhost message store, there's some metadata in memory +* Quorum queues + - metadata is stored in memory (at least 32 bytes per message, sometimes a bit more, for example when [message TTL](https://www.rabbitmq.com/docs/ttl) is used) +* Streams + - no message metadata is stored in memory + +This basically means that for messages under 4kb stored in classic queues, as well as for streams, regardless of how many messages +there are in the queue/stream, the memory usage is constant. You will run out disk before you run out of memory (you should +configure [retention](https://www.rabbitmq.com/docs/streams#retention)/[length](https://www.rabbitmq.com/docs/maxlength) limits that, +to avoid running out disk, but that's a different story). + +Here's an illustration highlighting the difference between the two different classic queue storage mechanisms. In this test, +I published 1 million messages of 4000 bytes each first, then deleted the queue and published 1 million messages of 4100 bytes +each. As you can see, the memory usage was stable in the first phase (small fluctuations notwithstanding), but when publishing +larger messages, we can see the memory usage grows as well. This is because 4100 bytes is above the threshold, so these +messages are stored in the per-vhost message store and the per-vhost message keeps some metadata in memory. A million 4KB +messages would have taken up 4GB of memory to store, while the actual usage still below 400MB. + +![Classic Queues: memory usage when publishing small and large messages](classic-queues.png) + +## Summary + +Here's the summary of the key points. + +| Type | When are the messages written to disk? | fsync? | When is the publisher confirm sent? | +|---------|----------------------------------------------------------------------------------------------|--------|-------------------------------------------------------------------------------------------------------------------------------------------------| +| Classic | After a few milliseconds or as soon as the in-memory buffer is full (whichever happens first)| No | **Durable messages**: when the message is written to disk or consumed & acknowledged
**Transient messages**: as soon as batched in memory | +| Quorum | Immediately (except for unconfirmed messages waiting in the mailbox, see above for details) | Yes | When written to disk and fsynced by the quorum of nodes (most commonly 2 out of 3 nodes) | +| Streams | Immediately (except for unconfirmed messages waiting in the mailbox, see above for details) | No | When written to disk by the quorum of nodes (most commonly 2 out of 3 nodes) | + +The flexibility provided by RabbitMQ, with support for multiple protocols, queue types and other configurations (eg. single node, +vs a cluster with queue replication), combined with 18 years of history and evolution, means that almost any "RabbitMQ does/doesn't do X" +statement is incorrect or at least imprecise. They should almost always be quantified with a specific version and configuration. + +Going back to the title of this post, I think it's fair to say that "RabbitMQ doesn't store messages in memory" is much +closer to the truth, than the opposite claim, which still circulates in discussions involving RabbitMQ. Regardless of the queue type, +there is no configuration in which publishing, say, 1GB of messages to RabbitMQ with no connected consumers, would lead to 1GB of memory being +used to store these messages. Most importantly, if you want high data safety guarantees, quorum queues are available and store data safely +by default. If you publish a message to a quorum queue and receive the confirmation, it'd take a disastrous event for RabbitMQ to lose it +(and if you want to protect messages from disastrous events, you might be interested in the commercial +[Warm Standby Replication plugin](https://techdocs.broadcom.com/us/en/vmware-tanzu/data-solutions/tanzu-rabbitmq-on-kubernetes/4-0/tanzu-rabbitmq-kubernetes/standby-replication.html)). + +If you don't need such data safety guarantees, you don't have to pay the intrinsic overhead of data safety. Just use the right tool for the job.