Currently ConfigFileAndDefaultsToInternalConfig and
FetchConfigFromFileOrCluster are used to default and load InitConfiguration
from file or cluster. These two APIs do a couple of completely separate things
depending on how they were invoked. In the case of
ConfigFileAndDefaultsToInternalConfig, an InitConfiguration could be either
defaulted with external override parameters, or loaded from file.
With FetchConfigFromFileOrCluster an InitConfiguration is either loaded from
file or from the config map in the cluster.
The two share both some functionality, but not enough code. They are also quite
difficult to use and sometimes even error prone.
To solve the issues, the following steps were taken:
- Introduce DefaultedInitConfiguration which returns defaulted version agnostic
InitConfiguration. The function takes InitConfiguration for overriding the
defaults.
- Introduce LoadInitConfigurationFromFile, which loads, converts, validates and
defaults an InitConfiguration from file.
- Introduce FetchInitConfigurationFromCluster that fetches InitConfiguration
from the config map.
- Reduce, when possible, the usage of ConfigFileAndDefaultsToInternalConfig by
replacing it with DefaultedInitConfiguration or LoadInitConfigurationFromFile
invocations.
- Replace all usages of FetchConfigFromFileOrCluster with calls to
LoadInitConfigurationFromFile or FetchInitConfigurationFromCluster.
- Delete FetchConfigFromFileOrCluster as it's no longer used.
- Rename ConfigFileAndDefaultsToInternalConfig to
LoadOrDefaultInitConfiguration in order to better describe what the function
is actually doing.
Signed-off-by: Rostislav M. Georgiev <rostislavg@vmware.com>
systemd is the recommended driver as per the setup of running
the kubelet using systemd as the init system. Add a preflight
check that throws a warning if this isn't the case.
Currently JoinConfigFileAndDefaultsToInternalConfig is doing a couple of
different things depending on its parameters. It:
- loads a versioned JoinConfiguration from an YAML file.
- returns defaulted JoinConfiguration allowing for some overrides.
In order to make code more manageable, the following steps are taken:
- Introduce LoadJoinConfigurationFromFile, which loads a versioned
JoinConfiguration from an YAML file, defaults it (both dynamically and
statically), converts it to internal JoinConfiguration and validates it.
- Introduce DefaultedJoinConfiguration, which returns defaulted (both
dynamically and statically) and verified internal JoinConfiguration.
The possibility of overwriting defaults via versioned JoinConfiguration is
retained.
- Re-implement JoinConfigFileAndDefaultsToInternalConfig to use
LoadJoinConfigurationFromFile and DefaultedJoinConfiguration.
- Replace some calls to JoinConfigFileAndDefaultsToInternalConfig with calls to
either LoadJoinConfigurationFromFile or DefaultedJoinConfiguration where
appropriate.
- Rename JoinConfigFileAndDefaultsToInternalConfig to the more appropriate name
LoadOrDefaultJoinConfiguration.
Signed-off-by: Rostislav M. Georgiev <rostislavg@vmware.com>
DetectUnsupportedVersion is somewhat uncomfortable, complex and inefficient
function to use. It takes an entire YAML document as bytes, splits it up to
byte slices of the different YAML sub-documents and group-version-kinds and
searches through those to detect an unsupported kubeadm config. If such config
is detected, the function returns an error, if it is not (i.e. the normal
function operation) everything done so far is discarded.
This could have been acceptable, if not the fact, that in all cases that this
function is called, the YAML document bytes are split up and an iteration on
GVK map is performed yet again. Hence, we don't need DetectUnsupportedVersion
in its current form as it's inefficient, complex and takes only YAML document
bytes.
This change replaces DetectUnsupportedVersion with ValidateSupportedVersion,
which takes a GroupVersion argument and checks if it is on the list of
unsupported config versions. In that case an error is returned.
ValidateSupportedVersion relies on the caller to read and split the YAML
document and then iterate on its GVK map checking if the particular
GroupVersion is supported or not.
Signed-off-by: Rostislav M. Georgiev <rostislavg@vmware.com>
The storage version now is solely decided by the
scheme.PrioritizedVersionsForGroup(). For cohabitating resources, the storage
version will be that of the overriding group as returned by
storageFactory.getStorageGroupResource().
* Return `nil` instead of a pointer to an empty struct when possible,
before the pointer was introduced the empty struct was required.
* Explicitly accept only one argument maximum for `kubeadm join` as in
`kubeadm join <master>`.
* Accept no arguments for `kubeadm init`.
* Make phases leafs accept arguments, whereas intermediate phases
automatically gets set that they accept no arguments.
For historical reasons InitConfiguration is used almost everywhere in kubeadm
as a carrier of various configuration components such as ClusterConfiguration,
local API server endpoint, node registration settings, etc.
Since v1alpha2, InitConfiguration is meant to be used solely as a way to supply
the kubeadm init configuration from a config file. Its usage outside of this
context is caused by technical dept, it's clunky and requires hacks to fetch a
working InitConfiguration from the cluster (as it's not stored in the config
map in its entirety).
This change is a small step towards removing all unnecessary usages of
InitConfiguration. It reduces its usage by replacing it in some places with
some of the following:
- ClusterConfiguration only.
- APIEndpoint (as local API server endpoint).
- NodeRegistrationOptions only.
- Some combinations of the above types, or if single fields from them are used,
only those field.
Signed-off-by: Rostislav M. Georgiev <rostislavg@vmware.com>
Fix a couple of problems related to data used by the phases runners
of `init` and `join`.
1) make `newInitData()` and `newJoinData()` return pointers.
Methods of the data objects returned by these functions should
be able to modify fields in the data objects - e.g.
`func (d initData) Client()`. This allows us to store a state and
not execute the same logic multiple times - e.g. obtaining a client.
A side effect of this change is that the `new...` functions must return
pointers, so that casting the data object in a phase, from
`workflow.RunData` to a locally defined interface, works.
2) Make it possible to pass arguments from a parent command
to a sub-phase with regards to data initialization.
In output of "kubeadm init", there are two strings for meaning of
bootstrap token which are "bootstraptoken" and "bootstrap-token".
This changes `[bootstraptoken]` to `[bootstrap-token]`.
In order to allow for a smoother UX with CRIs different than Docker, we have to
make the --cri-socket command line flag optional when just one CRI is
installed.
This change does that by doing the following:
- Introduce a new runtime function (DetectCRISocket) that will attempt to
detect a CRI socket, or return an appropriate error.
- Default to using the above function if --cri-socket is not specified and
CRISocket in NodeRegistrationOptions is empty.
- Stop static defaulting to DefaultCRISocket. And rename it to
DefaultDockerCRISocket. Its use is now narrowed to "Docker or not"
distinguishment and tests.
- Introduce AddCRISocketFlag function that adds --cri-socket flag to a flagSet.
Use that in all commands, that support --cri-socket.
- Remove the deprecated --cri-socket-path flag from kubeadm config images pull
and deprecate --cri-socket in kubeadm upgrade apply.
Signed-off-by: Rostislav M. Georgiev <rostislavg@vmware.com>
This avoids ending in a wrong cluster state by assuming that the
present certificates will work. It is specially important when we
are growing etcd from 1 member to 2, in which case in case of failure
upon joining etcd will be unavailable.
When the etcd cluster grows we need to explicitly wait for it to be
available. This ensures that we are not implicitly doing this in
following steps when they try to access the apiserver.
This is a minor cleanup which helps to make the code of kubeadm a bit
less error-prone by reducing the scope of local variables and
unexporting functions that are not meant to be used outside of their
respective modules.