Update the Deployments' API types, defaulting code, conversions, helpers
and validation to use ReplicaSets instead of ReplicationControllers and
LabelSelector instead of map[string]string for selectors.
Also update the Deployment controller, registry, kubectl subcommands,
client listers package and e2e tests to use ReplicaSets and
LabelSelector for Deployments.
Adds a document on pod templates that can be shared
between various controller docs.
Move more philosophical content to later in the doc.
Add more task-oriented stuff earlier.
Put example config in the document, early on, so users have something concrete to relate the discussion of fields to.
Link to Job and DaemonSet docs.
Make format more like that of Job and DaemonSet docs.
Use jsonpath in examples, which is available in v1.1.
Added example files.
When job.spec.completions is nil, only
one task needs to succeed for the job to succeed,
and parallelism can be scaled freely during runtime.
Added tests.
Release Note:
This causes two minor changes to the API.
First, unset parallelism previously was defaulted to be
equal to completions. Now it always defaults to 1 if unset.
Second, having parallelism=N and completions unset would previously
be defaulted to 1 completion and N parallelism.
(this is not something we expect people to do, though)
Now, no defaulting occurs in that case, and the job's
behavior is different (any completion causes success).
Signed-off-by: Ryan Wallner <ryan.wallner@clusterhq.com>
change wording
Signed-off-by: Ryan Wallner <ryan.wallner@clusterhq.com>
change name of volume to be consistent
Signed-off-by: Ryan Wallner <ryan.wallner@clusterhq.com>
update node flag without =
Signed-off-by: Ryan Wallner <ryan.wallner@clusterhq.com>
make things a bit clearer, seperate More Info
Signed-off-by: Ryan Wallner <ryan.wallner@clusterhq.com>
refacter so we include -n example
Signed-off-by: Ryan Wallner <ryan.wallner@clusterhq.com>
keep uuids consistent in examples
Signed-off-by: Ryan Wallner <ryan.wallner@clusterhq.com>
detail example about how to set env vars
Signed-off-by: Ryan Wallner <ryan.wallner@clusterhq.com>
move demo video to more info
Signed-off-by: Ryan Wallner <ryan.wallner@clusterhq.com>
add references for how to create volume using docker cli
Signed-off-by: Ryan Wallner <ryan.wallner@clusterhq.com>
italics
Signed-off-by: Ryan Wallner <ryan.wallner@clusterhq.com>
fix italics
Signed-off-by: Ryan Wallner <ryan.wallner@clusterhq.com>
fix extra paren
Signed-off-by: Ryan Wallner <ryan.wallner@clusterhq.com>
run hack/update-generated-docs.sh
We must handle null addresses in the cassandra seed provider. This
can occur when there are 'notReadyAddresses' but no 'addresses'.
While we're at it, update the makefile to build the jar.
For AWS EBS, a volume can only be attached to a node in the same AZ.
The scheduler must therefore detect if a volume is being attached to a
pod, and ensure that the pod is scheduled on a node in the same AZ as
the volume.
So that the scheduler need not query the cloud provider every time, and
to support decoupled operation (e.g. bare metal) we tag the volume with
our placement labels. This is done automatically by means of an
admission controller on AWS when a PersistentVolume is created backed by
an EBS volume.
Support for tagging GCE PVs will follow.
Pods that specify a volume directly (i.e. without using a
PersistentVolumeClaim) will not currently be scheduled correctly (i.e.
they will be scheduled without zone-awareness).
The pending codec -> conversion split changes the signature of
Encode and Decode to be more complicated. Create a stub helper
with the exact semantics of today and do the simple mechanical
refactor here to reduce the cost of that change.
This enables use of software or hardware transports viz. be2iscsi,
bnx2i, cxgb3i, cxgb4i, qla4xx, iser and ocs. The default transport
(tcp) happens to be called "default".
Use of non-default transports changes the disk path to the following format:
/dev/disk/by-path/pci-<pci_id>-ip-<portal>-iscsi-<iqn>-lun-<lun_id>
Before this change we have a mish-mash of ways to pass field names around for
error generation. Sometimes string fieldnames, sometimes .Prefix(), sometimes
neither, often wrong names or not indexed when it should be.
Instead of that mess, this is part one of a couple of commits that will make it
more strongly typed and hopefully encourage correct behavior. At least you
will have to think about field names, which is better than nothing.
It turned out to be really hard to do this incrementally.
Remove the id field to fix this error:
```
$ kubectl create -f redis-slave-controller.json
error validating "redis-slave-controller.json": error validating data: found invalid field id for v1.ReplicationController; if you choose to ignore these errors, turn validation off with --validate=false
```
Fixes#17846
hypothesis: The old userspace proxier would internally retry connections. The
new one does not. When this test comes up, the firewall might not yet be open or
something is causing a long delay and a timeout. I can't repro this failure
locally, so I am shooting in the dark. It's sort of plausible.
evidence: I can SSH into the jenkins master that is hung and I can see the hung
curl. I can run that curl by hand and it works. I can see that my shell is in
the same netns as that hung curl.
Introduce examples explaining how to use DataSets to optimally
distribute cassandra nodes onto each kubernetes node in the network.
Signed-off-by: Christian Stewart <christian@paral.in>
This adds a very basic Zeppelin image that works with the existing
Spark example. As can be seen from the documentation, it has a couple
of warts:
* It requires kubectl port-forward (which is unstable across long
periods of time, at least for me, on this app, bug incoming). See
* I needed to roll my own container (none of the existing containers
exactly matched needs, or even built anymore against modern Zeppelin
master, and the rest of the example is Spark 1.5).
The image itself is *huge*. One of the further refinements we need to
look at is how to possibly strip the Maven build for this container
down to just the interpreters we care about, because the deps here
are frankly ridiculous.
This might be a case where, if possible, we might want to open an
upstream request to build things dynamically, then use something like
probably the cut the image down considerably. (This might already be
possible, need to poke at whether you can late-bind interpreters
later.)
Adds an example using DaemonSets to distribute the NewRelic worker onto all nodes in a k8s cluster.
Signed-off-by: Christian Stewart <christian@paral.in>
Since this is a container service port anyways, "insecure" is a bit of
a red herring. There's no real security relevance to the incoming port
numbers for the NFS server pod.
This lets us get rid of the examples/nfs/exporter Docker build
(@jsafrane's personal image).
This ensures nfs-common is installed on GCE, and provides a more
functional explanation/example. I launched two replication controllers
so that there were busybox pods to poke around at the NFS volume, and
so that the later wget actually works (the original example would have
to work on the node, or need some other access to the container
network). After switching to two controllers, it actually makes more
sense to use PV claims, and it's probably a configuration that makes
more sense for indirection for NFS anyways.
* Pod -> ReplicationController, which also forced me to hack around
hostname issue on the master. (Spark master sees the incoming slave
request to spark-master and assumes it's not meant for it, since it's
name is spark-master-controller-abcdef.)
* Remove service env dependencies (depend on DNS instead).
* JSON -> YAML.
* Add GCS connector.
* Make example do something actually useful: A familiar example to
anyone at Google, implement wordcount of all of Shakespeare's works.
* Fix a minor service connection issue in the gluster example.
Fix some errors in guestbook-go README.md:
1. fix some markdown errors by removing the `<nop>` tag
2. replace some (not all of them) `containers` with `pods`
3. `gcloud comput` -> `gcloud compute`
4. improved sentences that has `list all` to make the descriptions more accurate
5. other tiny fixes
Code comments currently claim the default iscsi mount path as
kubernetes.io/pod/iscsi/<portal>-iqn-<iqn>-lun-<id>, however actual
path being used is
kubernetes.io/iscsi/iscsi/<portal>-iqn-<iqn>-lun-<id>
This leads to ultimate path being similar to this :
kubernetes.io/iscsi/iscsi/...iqn-iqn...-lun-N
Both iscsi and iqn are repated twice for no reason, since "iqn" is
required by spec to be part of an iqn. This is also wrong on
multiple leves as actual allowed naming formats are :
iqn.2001-04.com.example:storage:diskarrays-sn-a8675309
eui.02004567A425678D
(RFC 3720 3.2.6.3)
and in the second case "iqn-eui" in the path would be misleading.
Change this to a more reasonable path of
kubernetes.io/iscsi/<portal>-<iqn>-lun-<id>
which also aligns up with how the /dev/by-path and sysfs entries
are created for iscsi devices on linux
* -- *
Update iSCSI README and sample json file
There seems to have been quite a skew in recent updates to these
files adding in wrong info or info that no longer lines up the
sample config with the README.
Fixed the following issues :
* Fix discrepancy in samples json using initiator iqn from previous
linked example as target iqn (which was just wrong)
* Generate sample output and README from the same json config provided.
* Remove recommendation to edit initiator name, this is not required
(open-iscsi warns against editing this manually and provides a utility
for the same)
* Update docker inspect command to one that works.
* Use separate LUNs for separate mount points instead of re-using.
Flocker [1] is an open-source container data volume manager for
Dockerized applications.
This PR adds a volume plugin for Flocker.
The plugin interfaces the Flocker Control Service REST API [2] to
attachment attach the volume to the pod.
Each kubelet host should run Flocker agents (Container Agent and Dataset
Agent).
The kubelet will also require environment variables that contain the
host and port of the Flocker Control Service. (see Flocker architecture
[3] for more).
- `FLOCKER_CONTROL_SERVICE_HOST`
- `FLOCKER_CONTROL_SERVICE_PORT`
The contribution introduces a new 'flocker' volume type to the API with
fields:
- `datasetName`: which indicates the name of the dataset in Flocker
added to metadata;
- `size`: a human-readable number that indicates the maximum size of the
requested dataset.
Full documentation can be found docs/user-guide/volumes.md and examples
can be found at the examples/ folder
[1] https://clusterhq.com/flocker/introduction/
[2] https://docs.clusterhq.com/en/1.3.1/reference/api.html
[3] https://docs.clusterhq.com/en/1.3.1/concepts/architecture.html
rbd: if rbd image is not formatted, format it to the designated filesystem type
rbd: update example README.md and include instructions to get base64 encoded Ceph secret
if rbd fails to lock image, unmap the image before exiting
Signed-off-by: Huamin Chen <hchen@redhat.com>
k8s-merge-robot