Trait kube_runtime::utils::WatchStreamExt

pub trait WatchStreamExt: Stream {
    // Provided methods
    fn default_backoff(self) -> StreamBackoff<Self, DefaultBackoff>
       where Self: TryStream + Sized { ... }
    fn backoff<B>(self, b: B) -> StreamBackoff<Self, B>
       where B: Backoff,
             Self: TryStream + Sized { ... }
    fn applied_objects<K>(self) -> EventFlatten<Self>
       where Self: Stream<Item = Result<Event<K>, Error>> + Sized { ... }
    fn touched_objects<K>(self) -> EventFlatten<Self>
       where Self: Stream<Item = Result<Event<K>, Error>> + Sized { ... }
    fn modify<F, K>(self, f: F) -> EventModify<Self, F>
       where Self: Stream<Item = Result<Event<K>, Error>> + Sized,
             F: FnMut(&mut K) { ... }
    fn predicate_filter<K, P>(self, predicate: P) -> PredicateFilter<Self, K, P>
       where Self: Stream<Item = Result<K, Error>> + Sized,
             K: Resource + 'static,
             P: Predicate<K> + 'static { ... }
    fn reflect<K>(self, writer: Writer<K>) -> Reflect<Self, K>
       where Self: Stream<Item = Result<Event<K>>> + Sized,
             K: Resource + Clone + 'static,
             K::DynamicType: Eq + Hash + Clone { ... }
    fn reflect_shared<K>(
        self,
        writer: Writer<K>,
    ) -> impl Stream<Item = Self::Item>
       where Self: Stream<Item = Result<Event<K>>> + Sized,
             K: Resource + Clone + 'static,
             K::DynamicType: Eq + Hash + Clone { ... }
}

Extension trait for streams returned by watcher or reflector

Provided Methods

fn default_backoff(self) -> StreamBackoff<Self, DefaultBackoff>

where Self: TryStream + Sized,

Apply the DefaultBackoff watcher Backoff policy

This is recommended for controllers that want to play nicely with the apiserver.

fn backoff<B>(self, b: B) -> StreamBackoff<Self, B>

where B: Backoff, Self: TryStream + Sized,

Apply a specific Backoff policy to a Stream using StreamBackoff

fn applied_objects<K>(self) -> EventFlatten<Self>

where Self: Stream<Item = Result<Event<K>, Error>> + Sized,

Flatten a watcher() stream into a stream of applied objects

All Added/Modified events are passed through, and critical errors bubble up.

fn touched_objects<K>(self) -> EventFlatten<Self>

where Self: Stream<Item = Result<Event<K>, Error>> + Sized,

Flatten a watcher() stream into a stream of touched objects

All Added/Modified/Deleted events are passed through, and critical errors bubble up.

fn modify<F, K>(self, f: F) -> EventModify<Self, F>

where Self: Stream<Item = Result<Event<K>, Error>> + Sized, F: FnMut(&mut K),

Modify elements of a watcher() stream.

Calls watcher::Event::modify() on every element. Stream shorthand for stream.map_ok(|event| { event.modify(f) }).

let deploys: Api<Deployment> = Api::all(client);
let mut truncated_deploy_stream = pin!(watcher(deploys, watcher::Config::default())
    .modify(|deploy| {
        deploy.managed_fields_mut().clear();
        deploy.status = None;
    })
    .applied_objects());

while let Some(d) = truncated_deploy_stream.try_next().await? {
   println!("Truncated Deployment: '{:?}'", serde_json::to_string(&d)?);
}

fn predicate_filter<K, P>(self, predicate: P) -> PredicateFilter<Self, K, P>

where Self: Stream<Item = Result<K, Error>> + Sized, K: Resource + 'static, P: Predicate<K> + 'static,

Filter out a flattened stream on predicates.

This will filter out repeat calls where the predicate returns the same result. Common use case for this is to avoid repeat events for status updates by filtering on predicates::generation.

NB: This is constructor requires an unstable feature.

Usage

use kube::{Api, Client, ResourceExt};
use kube_runtime::{watcher, WatchStreamExt, predicates};
use k8s_openapi::api::apps::v1::Deployment;
let deploys: Api<Deployment> = Api::default_namespaced(client);
let mut changed_deploys = pin!(watcher(deploys, watcher::Config::default())
    .applied_objects()
    .predicate_filter(predicates::generation));

while let Some(d) = changed_deploys.try_next().await? {
   println!("saw Deployment '{} with hitherto unseen generation", d.name_any());
}

fn reflect<K>(self, writer: Writer<K>) -> Reflect<Self, K>

where Self: Stream<Item = Result<Event<K>>> + Sized, K: Resource + Clone + 'static, K::DynamicType: Eq + Hash + Clone,

Reflect a watcher() stream into a Store through a Writer

Returns the stream unmodified, but passes every watcher::Event through a Writer. This populates a Store as the stream is polled.

Usage

use kube::{Api, Client, ResourceExt};
use kube_runtime::{watcher, WatchStreamExt, reflector};
use k8s_openapi::api::apps::v1::Deployment;

let deploys: Api<Deployment> = Api::default_namespaced(client);
let (reader, writer) = reflector::store::<Deployment>();

tokio::spawn(async move {
    // start polling the store once the reader is ready
    reader.wait_until_ready().await.unwrap();
    loop {
        let names = reader.state().iter().map(|d| d.name_any()).collect::<Vec<_>>();
        info!("Current {} deploys: {:?}", names.len(), names);
        tokio::time::sleep(Duration::from_secs(10)).await;
    }
});

// configure the watcher stream and populate the store while polling
watcher(deploys, watcher::Config::default())
    .reflect(writer)
    .applied_objects()
    .for_each(|res| async move {
        match res {
            Ok(o) => info!("saw {}", o.name_any()),
            Err(e) => warn!("watcher error: {}", e),
        }
    })
    .await;

fn reflect_shared<K>(self, writer: Writer<K>) -> impl Stream<Item = Self::Item>

where Self: Stream<Item = Result<Event<K>>> + Sized, K: Resource + Clone + 'static, K::DynamicType: Eq + Hash + Clone,

Reflect a shared watcher() stream into a Store through a Writer

Returns the stream unmodified, but passes every watcher::Event through a Writer. This populates a Store as the stream is polled. When the watcher::Event is not an error or a [watcher::Event::Deleted] then its inner object will also be propagated to subscribers.

Subscribers can be created by calling subscribe() on a Writer. This will return a ReflectHandle stream that should be polled independently. When the root stream is dropped, or it ends, all ReflectHandles subscribed to the stream will also terminate after all events yielded by the root stream have been observed. This means ReflectHandle streams can still be polled after the root stream has been dropped.

NB: This adapter requires an unstable feature

Warning

If the root Stream is not polled, ReflectHandle streams will never receive any events. This will cause the streams to deadlock since the root stream will apply backpressure when downstream readers are not consuming events.

Usage

use kube::{Api, Client, ResourceExt};
use kube_runtime::{watcher, WatchStreamExt, reflector};
use k8s_openapi::api::apps::v1::Deployment;

let deploys: Api<Deployment> = Api::default_namespaced(client);
let subscriber_buf_sz = 100;
let (reader, writer) = reflector::store_shared::<Deployment>(subscriber_buf_sz);
let subscriber = &writer.subscribe().unwrap();

tokio::spawn(async move {
    // start polling the store once the reader is ready
    reader.wait_until_ready().await.unwrap();
    loop {
        let names = reader.state().iter().map(|d| d.name_any()).collect::<Vec<_>>();
        info!("Current {} deploys: {:?}", names.len(), names);
        tokio::time::sleep(Duration::from_secs(10)).await;
    }
});

// configure the watcher stream and populate the store while polling
watcher(deploys, watcher::Config::default())
    .reflect_shared(writer)
    .applied_objects()
    .for_each(|res| async move {
        match res {
            Ok(o) => info!("saw in root stream {}", o.name_any()),
            Err(e) => warn!("watcher error in root stream: {}", e),
        }
    })
    .await;

// subscriber can be used to receive applied_objects
subscriber.for_each(|obj| async move {
    info!("saw in subscriber {}", &obj.name_any())
}).await;

Implementors

impl<St> WatchStreamExt for St

where St: Stream + ?Sized,