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Frequently Asked Questions

Encountered a SEGFAULT. What Kind Of Data Types Can Be Transmitted Via iceoryx2

iceoryx2 stores all data in shared memory, which imposes certain restrictions. Only data that is self-contained and does not use pointers to reference itself is allowed. This is because shared memory is mapped at different offsets in each process, rendering absolute pointers invalid. Additionally, if the data structure uses the heap, it is stored locally within a process and cannot be accessed by other processes. As a result, data types such as String, Vec, or HashMap cannot be used as payload types.

Additionally, every data type must be annotated with #[repr(C)]. The Rust compiler may reorder the members of a struct, which can lead to undefined behavior if another process expects a different ordering.

To address this, iceoryx2 provides shared-memory-compatible data types. You can refer to the complex data types example, which demonstrates the use of FixedSizeByteString and FixedSizeVec.

How To Define Custom Data Types (Rust)

  1. Ensure to only use data types suitable for shared memory communication like pod-types (plain old data, e.g. u64, f32, ...) or explicitly shared-memory compatible containers like some of the constructs in the iceoryx2-bb-containers.

  2. Add #[repr(C)]` to your custom data type so that it has a uniform memory representation.

     #[repr(C)]
     #[derive(ZeroCopySend)]
     struct MyDataType {
         //....
     }
  3. Do not use pointers, or data types that are not self-contained or use pointers for their internal management!

  4. The type and all of its members shall not implement Drop. The sender always owns the data and is responsible to cleanup everything. When it goes out of scope, the corresponding receivers must be able to still consume the sent data - therefore, iceoryx2 cannot call drop on maybe still in use data even when the process terminates. The internal iceoryx2 cleanup logic removes always all unused resources but when the last user is a receiver it is not able to mutate the memory and therefore cannot call drop on it.

How To Define Custom Data Types (C++)

  1. Ensure to only use data types suitable for shared memory communication like pod-types (plain old data, e.g. uint64_t, int32_t, ...) or explicitly shared-memory compatible containers like some of the constructs in the iceoryx-hoofs.
  2. Do not use pointers, or data types that are not self-contained or use pointers for their internal management!
  3. The type must be trivially destructible (see std::is_trivially_destructible). The sender always owns the data and is responsible to cleanup everything. When it goes out of scope, the corresponding receivers must be able to still consume the sent data - therefore, iceoryx2 cannot call the destructor on maybe still in use data even when the process terminates. The internal iceoryx2 cleanup logic removes always all unused resources but when the last user is a receiver it is not able to mutate the memory and therefore cannot call drop on it.

How To Send Data Where The Size Is Unknown At Compilation-Time?

Take a look at the publish-subscribe dynamic data size example.

How To Use iceoryx2 For Inter-Thread Communication (As MPMC Queue Alternative)

iceoryx2 provides service variants optimized for different use cases. One such variant is the local variant, which relies solely on mechanisms restricted to the local process. For example, using the heap instead of shared memory.

By selecting the appropriate service variant, you can use iceoryx2 for inter-thread communication as an alternative to MPMC queues. This approach offers the added benefit of making it easy to extract threads into separate processes later on, without needing to change anything except switching the service variant from Local to Ipc.

  • Rust

    let node = NodeBuilder::new()
         // or local_threadsafe::Service, or ipc::Service, or ipc_threadsafe::Service
         .create::<local::Service>()?;
  • Python

    // or iox2.ServiceType.Ipc
    node = iox2.NodeBuilder.new().create(iox2.ServiceType.Local)
  • C++

    auto node = NodeBuilder()
         // or Service::Ipc
        .create<ServiceType::Local>().expect("successful node creation");
  • C

    iox2_node_builder_h node_builder_handle = iox2_node_builder_new(NULL);
    iox2_node_h node_handle = NULL;
    // or iox2_service_type_e_IPC
    if (iox2_node_builder_create(node_builder_handle, NULL, iox2_service_type_e_LOCAL, &node_handle) != IOX2_OK) {
        printf("Could not create node!\n");
        goto end;
    }

Example

Take a look at the local_pubsub file in the

How To Make 32-bit and 64-bit iceoryx2 Applications Interoperatable

This is currently not possible since we cannot guarantee to have the same layout of the data structures in the shared memory. On 32-bit architectures 64-bit POD are aligned to a 4 byte boundary but to a 8 byte boundary on 64-bit architectures. Some additional work is required to make 32-bit and 64-bit applications interoperabel.

My Transmission Type Is Too Large, Encounter Stack Overflow On Initialization

Take a look at the complex data types example.

In this example the PlacementDefault trait is introduced that allows in place initialization and solves the stack overflow issue when the data type is larger than the available stack size.

100% CPU Load When Using The WaitSet

The WaitSet wakes up whenever an attachment, such as a Listener or a socket, has something to read. If you do not handle all notifications, for example, with Listener::try_wait_one(), the WaitSet will wake up immediately again, potentially causing an infinite loop and resulting in 100% CPU usage.

Does iceoryx2 Offer an Async API?

No, but it is on our roadmap. However, we offer an event-based API to implement push notifications. For more details, see the event example.

Application does not remove services/ports on shutdown or several application restarts lead to port count exceeded

The structs of iceoryx2 need to be able to cleanup all resources when they go out of scope. This is not the case when the application is:

  • killed with the sigkill signal (kill -9)
  • the SIGTERM signal is not explicitly handled

iceoryx2 already provides a mechanism that registers a signal handler that handles termination requests gracefully, see publish subscribe example and

while node.wait(CYCLE_TIME).is_ok() {
  // user code
}

But you can also use a crate like ctrlc.

How to use log or tracing as default log backend

  • log, add the feature flag logger_log to the dependency in Cargo.toml
    iceoryx2 = { version = "0.1.0", features = ["logger_log"]}
  • tracing, add the feature flag logger_tracing to the dependency in Cargo.toml
     iceoryx2 = { version = "0.1.0", features = ["logger_tracing"]}

Supported log levels

iceoryx2 supports different log levels trace, debug, info, warning, error, fatal

How to set the log level

iceoryx2 provides different APIs which can be used to set the log level directly in the code or read the configured log level by environment variable

export IOX2_LOG_LEVEL=Trace

then in the main.rs call one of the functions to set the log level

use iceoryx2::prelude::*

// ...

// Reads LogLevel from env and defaults to LogLevel INFO
// if the environment variable is not set or has an unsupported value
set_log_level_from_env_or_default();

// Reads LogLevel from env and sets it with a user-given value
// if the environment variable is not set or has an unsupported value
set_log_level_from_env_or(LogLevel::DEBUG);

// sets LogLevel programmatically with a supported user-given value
// and does not try to read the environment variable
set_log_level(LogLevel::Trace);

Note: While working on iceoryx2, it gets its default logging level from .cargo/config.toml, but this can be over-ridden by using the APIs that reads environment variable IOX2_LOG_LEVEL or set the log level directly in the code.

A crash leads to the failure PublishSubscribeOpenError(UnableToOpenDynamicServiceInformation)

When an application crashes, some resources may remain in the system and need to be cleaned up. This issue is detected whenever a new iceoryx2 instance is created, removed, or when someone opens the service that the crashed process had previously opened. On the command line, you may see a message like this:

6 [W] "Node::<iceoryx2::service::ipc::Service>::cleanup_dead_nodes()"
      | Dead node (NodeId(UniqueSystemId { value: 1667667095615766886193595845
      | , pid: 34245, creation_time: Time { clock_type: Realtime, seconds: 172
      | 8553806, nanoseconds: 90404414 } })) detected

However, for successful cleanup, the process attempting the cleanup must have sufficient permissions to remove the stale resources of the dead process. If the cleanup fails due to insufficient permissions, the process that attempted the cleanup will continue without removing the resources.

Generally, it is not necessary to manually clean up these resources, as other processes should detect and handle the cleanup when creating or removing nodes, or when services are opened or closed.

Nevertheless, there are three different approaches to initiate stale resource cleanup:

  1. Using the iceoryx2 API:

    Node::<ipc::Service>::list(Config::global_config(), |node_state| {
      if let NodeState::<ipc::Service>::Dead(view) = node_state {
        println!("Cleanup resources of dead node {:?}", view);
        if let Err(e) = view.remove_stale_resources() {
          println!("Failed to clean up resources due to {:?}", e);
        }
      }
      CallbackProgression::Continue
    })?;
  2. Using the command line tool: iox2 node -h (NOT YET IMPLEMENTED)

  3. Manual cleanup: Stop all running services and remove all shared memory files with the iox2 prefix from:

    • POSIX: /dev/shm/, /tmp/iceoryx2
    • Windows: c:\Temp\iceoryx2

Run Out-Of-Memory When Creating Publisher With A Large Service Payload

Since iceoryx2 is designed to operate in safety-critical systems, it must ensure that a publisher (or sender) never runs out of memory. To achieve this, iceoryx2 preallocates a data segment for each new publisher. This segment is sized to handle the worst-case service requirements, ensuring that every subscriber can receive and store as many samples as permitted, even under maximum load.

To minimize the required worst-case memory, you can adjust specific service settings. For example:

let service = node
    .service_builder(&"some service name".try_into()?)
    .publish_subscribe::<[u8]>()
    // Limit the maximum number of subscribers
    .max_subscribers(1)
    // Limit the number of samples a subscriber can hold simultaneously
    .subscriber_max_borrowed_samples(1)
    // Reduce the subscriber's overall sample buffer size
    .subscriber_max_buffer_size(1)
    // Limit the size of the publisher's history buffer
    .history_size(1)
    // ...

On the publisher side, you can also configure resource usage:

let publisher = service
    .publisher_builder()
    // Limit the number of samples a publisher can loan at once
    .max_loaned_samples(1)
    // ...

All these parameters can also be set globally by using the iceoryx2 config file.

Error: Resource Creation Failed

You May Exceeded The Maximum File-Descriptor Limit

When you increase the number of services or ports beyond a certain limit for one process, the process may exceed the per-user file descriptor limit. This limit can be increased by adjusting the nofile setting in the /etc/security/limits.conf file:

*     soft    nofile      4096
*     hard    nofile      8192
  • * – Applies to all users
  • soft | hard – The soft and hard limits
  • The soft limit is set to 4096, while the hard limit is set to 8192

After making these changes, you can use the following command to increase the soft file descriptor limit up to the hard limit:

ulimit -n <new_limit>

Losing data

When a Subscriber or a Server does not seem to receive data, it may be because the port was never able to connect to its counterpart - typically because it went out of scope too quickly. For instance, this can happen when a Publisher is created, sends some data, and is immediately destroyed afterward.

Due to the decentralized nature of iceoryx2, and the fact that it does not use any background threads, the user must handle these edge cases explicitly.

To address this, every port provides an update_connections() function. After creating all ports, make sure to call update_connections() on each of them before starting communication.

Another solution is to ensure that the sending ports remain alive at least until the first piece of data has been successfully received.

Losing a sample when sending dynamic data

If you're sending slices and have defined an allocation strategy, a sample may be lost if the sender shuts down after reallocating its data segment. This is because no receiver has yet mapped the reallocated data segment. Therefore, the sender closes the data segment when going out of scope.

To circumvent this, you could use the size of the last sent sample as initial_max_slice_len and use the Static allocation strategy.

The package 'iceoryx2-ffi-c' does not contain this feature: libc_platform

In order to use the iceoryx2 feature flags when building the iceoryx2-ffi-c crate standalone, you needs to prefix the feature with iceoryx2/, e.g. --features iceoryx2/libc_platform..