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fix: elasticsearch template mapping to parse kubernetes.labels
**What this PR does / why we need it**:
This PR updates the field mappings for the elasticsearch template that ships with the EFK stack implementation.
Specifically, elasticsearch cannot parse the `kubernetes.labels` object because it attempts to treat it as a string and produces an error. This update treats `kubernetes.labels` as an object and all of the properties within as a string, allowing accurate indexing and allowing users in kibana to search on `kubernetes.labels.*`.
**Release note**:
```release-note
Fluentd/Elastisearch add-on: correctly parse and index kubernetes labels
```
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Migrates addons from RCs to Deployments
Fixes#33698.
Below addons are being migrated:
- kube-dns
- GLBC default backend
- Dashboard UI
- Kibana
For the new deployments, the version suffixes are removed from their names. Version related labels are also removed because they are confusing and not needed any more with regard to how Deployment and the new Addon Manager works.
The `replica` field in `kube-dns` Deployment manifest is removed for the incoming DNS horizontal autoscaling feature #33239.
The `replica` field in `Dashboard` Deployment manifest is also removed because the rescheduler e2e test is manually scaling it.
Some resource limit related fields in `heapster-controller.yaml` are removed, as they will be set up by the `addon resizer` containers. Detailed reasons in #34513.
Three e2e tests are modified:
- `rescheduler.go`: Changed to resize Dashboard UI Deployment instead of ReplicationController.
- `addon_update.go`: Some namespace related changes in order to make it compatible with the new Addon Manager.
- `dns_autoscaling.go`: Changed to examine kube-dns Deployment instead of ReplicationController.
Both of above two tests passed on my own cluster. The upgrade process --- from old Addons with RCs to new Addons with Deployments --- was also tested and worked as expected.
The last commit upgrades Addon Manager to v6.0. It is still a work in process and currently waiting for #35220 to be finished. (The Addon Manager image in used comes from a non-official registry but it mostly works except some corner cases.)
@piosz @gmarek could you please review the heapster part and the rescheduler test?
@mikedanese @thockin
cc @kubernetes/sig-cluster-lifecycle
---
Notes:
- Kube-dns manifest still uses *-rc.yaml for the new Deployment. The stale file names are preserved here for receiving faster review. May send out PR to re-organize kube-dns's file names after this.
- Heapster Deployment's name remains in the old fashion(with `-v1.2.0` suffix) for avoiding describe this upgrade transition explicitly. In this way we don't need to attach fake apply labels to the old Deployments.
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Fix startup script bug in kibana image
Big thanks to @lhopki01 for noticing this!
As mention in discussion in https://github.com/kubernetes/kubernetes/pull/36103 current image crashes if we don't want to work behind proxy because of string interpolation in bash.
@piosz
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cluster-addons: enable Jemalloc for Fluentd based images
**What this PR does / why we need it**:
This Pull Request includes two patches that enable the recommended use of Jemalloc memory allocator for container images that are based in Fluentd. The patches applies to the following cluster-addons:
- fluentd-es-image
- fluentd-gcp-image
**Which issue this PR fixes**
This PR is part of the solution for issues:
- kubernetes/kubernetes/issues/32762
- GoogleCloudPlatform/fluent-plugin-google-cloud/issues/87
When Fluentd runs in high load environments, it's likely the default operating system memory allocator will generate a high fragmentation ending up in a high memory usage. In order to reduce fragmentation and decrease memory usage an alternative memory allocator as Jemalloc is used.
For the record: fluentd-es-image uses [td-agent](https://docs.treasuredata.com/articles/td-agent) Fluentd package maintained by Treasure Data, which contains Jemalloc 4.2.1 (latest stable version). The google-fluentd package used in fluentd-gcp-image comes with Jemalloc 2.2.5, which have many known issues, I strongly suggest google-fluentd package gets updated.
**Special notes for your reviewer**:
In the research of this topic have been involved @piosz and @Crassirostris.
Automatic merge from submit-queue
Update elasticsearch and kibana usage
```release-note
Updated default Elasticsearch and Kibana used for elasticsearch logging destination to versions 2.4.1 and 4.6.1 respectively.
```
Updated controllers for elasticsearch and kibana to use newer versions of images. Fixed e2e test because of elasticsearch backward incompatible API changes.
Fixed out of sync elasticsearch controller for coreos.
@piosz
The current DockerFile build an image using td-agent package but it let
the service run with the default memory allocator provided by glibc.
In high load environments, is highly required to use a customized memory
allocator such as Jemalloc. Otherwise the service will face a high memory
fragmentation ending up in 'high memory' usage from a monitoring perspective.
td-agent package by default install Jemalloc and set the LD_PRELOAD
environment variable through it init script, but since the service is
launched through Docker the env variable needs to be set manually.
After this patch, when running td-agent container image now is possible
to see that Jemalloc is used:
root@monotop:/proc/18810# cat maps |grep jemall
7f251eddd000-7f251ee1b000 ... /opt/td-agent/embedded/lib/libjemalloc.so.2
7f251ee1b000-7f251f01b000 ... /opt/td-agent/embedded/lib/libjemalloc.so.2
7f251f01b000-7f251f01d000 ... /opt/td-agent/embedded/lib/libjemalloc.so.2
7f251f01d000-7f251f01e000 ... /opt/td-agent/embedded/lib/libjemalloc.so.2
For a reference about the memory usage difference between malloc v/s jemalloc
please refer to the following chart:
https://goo.gl/dVYTmw
Signed-off-by: Eduardo Silva <eduardo@treasure-data.com>
Automatic merge from submit-queue
Elasticsearch and Kibana update
```release-note
Updated Elasticsearch image from version 1.5.1 to version 2.4.1. Updated Kibana image from version 4.0.2 to version 4.6.1.
```
Updated es and kibana images. Made image versions match es/kibana versions they contain.
ref #19149
We can then avoid the following warning:
```
WARNING: The '--' argument must be specified between gcloud specific args on the left and DOCKER_ARGS on the right. IMPORTANT: previously, commands allowed the omission of the --, and unparsed arguments were treated as implementation args. This usage is being deprecated and will be removed in March 2017.
This will be strictly enforced in March 2017. Use 'gcloud beta docker' to see new behavior.
```
Signed-off-by: Jess Frazelle <acidburn@google.com>
I didn't expect glog to split single log statements onto multiple lines,
but apparently it does if they're long enough. This groups them back
together appropriately.
Piotr Szczesniak
