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serial.go
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serial.go
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// Copyright 2019 PingCAP, Inc.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// See the License for the specific language governing permissions and
// limitations under the License.
package tidbcluster
import (
"context"
"encoding/json"
"fmt"
_ "net/http/pprof"
"strconv"
"strings"
"time"
"github.com/onsi/ginkgo"
"github.com/onsi/gomega"
"github.com/pingcap/advanced-statefulset/pkg/apis/apps/v1/helper"
asclientset "github.com/pingcap/advanced-statefulset/pkg/client/clientset/versioned"
"github.com/pingcap/tidb-operator/pkg/apis/pingcap/v1alpha1"
"github.com/pingcap/tidb-operator/pkg/client/clientset/versioned"
"github.com/pingcap/tidb-operator/pkg/controller"
"github.com/pingcap/tidb-operator/pkg/label"
"github.com/pingcap/tidb-operator/pkg/scheme"
"github.com/pingcap/tidb-operator/pkg/util"
"github.com/pingcap/tidb-operator/tests"
e2econfig "github.com/pingcap/tidb-operator/tests/e2e/config"
utilimage "github.com/pingcap/tidb-operator/tests/e2e/util/image"
utilpod "github.com/pingcap/tidb-operator/tests/e2e/util/pod"
"github.com/pingcap/tidb-operator/tests/e2e/util/portforward"
"github.com/pingcap/tidb-operator/tests/e2e/util/proxiedpdclient"
utilstatefulset "github.com/pingcap/tidb-operator/tests/e2e/util/statefulset"
"github.com/pingcap/tidb-operator/tests/pkg/fixture"
"github.com/pingcap/tidb-operator/tests/pkg/mock"
autoscalingv2beta2 "k8s.io/api/autoscaling/v2beta2"
corev1 "k8s.io/api/core/v1"
v1 "k8s.io/api/core/v1"
apiextensionsclientset "k8s.io/apiextensions-apiserver/pkg/client/clientset/clientset"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/apimachinery/pkg/labels"
"k8s.io/apimachinery/pkg/util/sets"
"k8s.io/apimachinery/pkg/util/wait"
clientset "k8s.io/client-go/kubernetes"
restclient "k8s.io/client-go/rest"
"k8s.io/klog"
aggregatorclient "k8s.io/kube-aggregator/pkg/client/clientset_generated/clientset"
"k8s.io/kubernetes/test/e2e/framework"
e2elog "k8s.io/kubernetes/test/e2e/framework/log"
e2esset "k8s.io/kubernetes/test/e2e/framework/statefulset"
"k8s.io/utils/pointer"
"sigs.k8s.io/controller-runtime/pkg/client"
)
func mustToString(set sets.Int32) string {
b, err := json.Marshal(set.List())
if err != nil {
panic(err)
}
return string(b)
}
// Serial specs describe tests which cannot run in parallel.
var _ = ginkgo.Describe("[tidb-operator][Serial]", func() {
f := framework.NewDefaultFramework("serial")
var ns string
var c clientset.Interface
var cli versioned.Interface
var asCli asclientset.Interface
var aggrCli aggregatorclient.Interface
var apiExtCli apiextensionsclientset.Interface
var hc clientset.Interface
var cfg *tests.Config
var config *restclient.Config
var fw portforward.PortForward
var fwCancel context.CancelFunc
ginkgo.BeforeEach(func() {
ns = f.Namespace.Name
c = f.ClientSet
var err error
config, err = framework.LoadConfig()
framework.ExpectNoError(err, "failed to load config")
cli, err = versioned.NewForConfig(config)
framework.ExpectNoError(err, "failed to create clientset")
asCli, err = asclientset.NewForConfig(config)
framework.ExpectNoError(err, "failed to create clientset")
aggrCli, err = aggregatorclient.NewForConfig(config)
framework.ExpectNoError(err, "failed to create clientset")
apiExtCli, err = apiextensionsclientset.NewForConfig(config)
framework.ExpectNoError(err, "failed to create clientset")
clientRawConfig, err := e2econfig.LoadClientRawConfig()
framework.ExpectNoError(err, "failed to load raw config")
hc = helper.NewHijackClient(c, asCli)
ctx, cancel := context.WithCancel(context.Background())
fw, err = portforward.NewPortForwarder(ctx, e2econfig.NewSimpleRESTClientGetter(clientRawConfig))
framework.ExpectNoError(err, "failed to create port forwarder")
fwCancel = cancel
cfg = e2econfig.TestConfig
})
ginkgo.AfterEach(func() {
if fwCancel != nil {
fwCancel()
}
})
// tidb-operator with AdvancedStatefulSet feature enabled
ginkgo.Context("[Feature: AdvancedStatefulSet][Feature: Webhook]", func() {
var ocfg *tests.OperatorConfig
var oa tests.OperatorActions
var genericCli client.Client
ginkgo.BeforeEach(func() {
ocfg = &tests.OperatorConfig{
Namespace: ns,
ReleaseName: "operator",
Image: cfg.OperatorImage,
Tag: cfg.OperatorTag,
SchedulerImage: "k8s.gcr.io/kube-scheduler",
Features: []string{
"StableScheduling=true",
"AdvancedStatefulSet=true",
},
LogLevel: "4",
ImagePullPolicy: v1.PullIfNotPresent,
TestMode: true,
WebhookEnabled: true,
PodWebhookEnabled: true,
StsWebhookEnabled: false,
}
oa = tests.NewOperatorActions(cli, c, asCli, aggrCli, apiExtCli, tests.DefaultPollInterval, ocfg, e2econfig.TestConfig, nil, fw, f)
ginkgo.By("Installing CRDs")
oa.CleanCRDOrDie()
oa.InstallCRDOrDie(ocfg)
ginkgo.By("Installing tidb-operator")
oa.CleanOperatorOrDie(ocfg)
oa.DeployOperatorOrDie(ocfg)
var err error
genericCli, err = client.New(config, client.Options{Scheme: scheme.Scheme})
framework.ExpectNoError(err, "failed to create clientset")
})
ginkgo.AfterEach(func() {
ginkgo.By("Uninstall tidb-operator")
oa.CleanOperatorOrDie(ocfg)
ginkgo.By("Uninstalling CRDs")
oa.CleanCRDOrDie()
})
ginkgo.It("Scaling tidb cluster with advanced statefulset", func() {
clusterName := "scaling-with-asts"
tc := fixture.GetTidbCluster(ns, clusterName, utilimage.TiDBV3Version)
tc.Spec.PD.Replicas = 3
tc.Spec.TiKV.Replicas = 5
tc.Spec.TiDB.Replicas = 5
err := genericCli.Create(context.TODO(), tc)
framework.ExpectNoError(err)
err = oa.WaitForTidbClusterReady(tc, 30*time.Minute, 15*time.Second)
framework.ExpectNoError(err)
scalingTests := []struct {
name string
component string // tikv,pd,tidb
replicas int32
deleteSlots sets.Int32
}{
{
name: "Scaling in tikv from 5 to 3 by deleting pods 1 and 3",
component: "tikv",
replicas: 3,
deleteSlots: sets.NewInt32(1, 3),
},
{
name: "Scaling out tikv from 3 to 4 by adding pod 3",
component: "tikv",
replicas: 4,
deleteSlots: sets.NewInt32(1),
},
{
name: "Scaling tikv by adding pod 1 and deleting pod 2",
component: "tikv",
replicas: 4,
deleteSlots: sets.NewInt32(2),
},
{
name: "Scaling in tidb from 3 to 2 by deleting pod 1",
component: "tidb",
replicas: 2,
deleteSlots: sets.NewInt32(1),
},
{
name: "Scaling in tidb from 2 to 0",
component: "tidb",
replicas: 0,
deleteSlots: sets.NewInt32(),
},
{
name: "Scaling out tidb from 0 to 2 by adding pods 0 and 2",
component: "tidb",
replicas: 2,
deleteSlots: sets.NewInt32(1),
},
{
name: "Scaling tidb from 2 to 4 by deleting pods 2 and adding pods 3, 4 and 5",
component: "tidb",
replicas: 4,
deleteSlots: sets.NewInt32(1, 2),
},
{
name: "Scaling out pd from 3 to 5 by adding pods 3, 4",
component: "pd",
replicas: 5,
deleteSlots: sets.NewInt32(),
},
{
name: "Scaling in pd from 5 to 3 by deleting pods 0 and 3",
component: "pd",
replicas: 3,
deleteSlots: sets.NewInt32(0, 3),
},
{
name: "Scaling out pd from 3 to 5 by adding pods 5 and 6",
component: "pd",
replicas: 5,
deleteSlots: sets.NewInt32(0, 3),
},
}
for _, st := range scalingTests {
ginkgo.By(st.name)
replicas := st.replicas
stsName := fmt.Sprintf("%s-%s", clusterName, st.component)
sts, err := hc.AppsV1().StatefulSets(ns).Get(stsName, metav1.GetOptions{})
framework.ExpectNoError(err)
oldPodList := e2esset.GetPodList(c, sts)
ginkgo.By(fmt.Sprintf("Scaling sts %s/%s to replicas %d and setting deleting pods to %v (old replicas: %d, old delete slots: %v)", ns, stsName, replicas, st.deleteSlots.List(), *sts.Spec.Replicas, helper.GetDeleteSlots(sts).List()))
tc, err := cli.PingcapV1alpha1().TidbClusters(ns).Get(clusterName, metav1.GetOptions{})
framework.ExpectNoError(err)
err = controller.GuaranteedUpdate(genericCli, tc, func() error {
if tc.Annotations == nil {
tc.Annotations = map[string]string{}
}
if st.component == "tikv" {
tc.Annotations[label.AnnTiKVDeleteSlots] = mustToString(st.deleteSlots)
tc.Spec.TiKV.Replicas = replicas
} else if st.component == "pd" {
tc.Annotations[label.AnnPDDeleteSlots] = mustToString(st.deleteSlots)
tc.Spec.PD.Replicas = replicas
} else if st.component == "tidb" {
tc.Annotations[label.AnnTiDBDeleteSlots] = mustToString(st.deleteSlots)
tc.Spec.TiDB.Replicas = replicas
} else {
return fmt.Errorf("unsupported component: %v", st.component)
}
return nil
})
framework.ExpectNoError(err)
ginkgo.By(fmt.Sprintf("Waiting for all pods of tidb cluster component %s (sts: %s/%s) are in desired state (replicas: %d, delete slots: %v)", st.component, ns, stsName, st.replicas, st.deleteSlots.List()))
err = wait.PollImmediate(time.Second*5, time.Minute*15, func() (bool, error) {
// check replicas and delete slots are synced
sts, err = hc.AppsV1().StatefulSets(ns).Get(stsName, metav1.GetOptions{})
if err != nil {
return false, nil
}
if *sts.Spec.Replicas != st.replicas {
klog.Infof("replicas of sts %s/%s is %d, expects %d", ns, stsName, *sts.Spec.Replicas, st.replicas)
return false, nil
}
if !helper.GetDeleteSlots(sts).Equal(st.deleteSlots) {
klog.Infof("delete slots of sts %s/%s is %v, expects %v", ns, stsName, helper.GetDeleteSlots(sts).List(), st.deleteSlots.List())
return false, nil
}
// check all desired pods are running and ready
return utilstatefulset.IsAllDesiredPodsRunningAndReady(hc, sts), nil
})
framework.ExpectNoError(err)
ginkgo.By(fmt.Sprintf("Verify other pods of sts %s/%s should not be affected", ns, stsName))
newPodList := e2esset.GetPodList(c, sts)
framework.ExpectEqual(len(newPodList.Items), int(*sts.Spec.Replicas))
for _, newPod := range newPodList.Items {
for _, oldPod := range oldPodList.Items {
// if the pod is not new or deleted in scaling, it should not be affected
if oldPod.Name == newPod.Name && oldPod.UID != newPod.UID {
framework.Failf("pod %s/%s should not be affected (UID: %s, OLD UID: %s)", newPod.Namespace, newPod.Name, newPod.UID, oldPod.UID)
}
}
}
}
err = oa.WaitForTidbClusterReady(tc, 30*time.Minute, 15*time.Second)
framework.ExpectNoError(err)
})
})
ginkgo.It("[Feature: AdvancedStatefulSet] Upgrade to advanced statefulset", func() {
var ocfg *tests.OperatorConfig
var oa tests.OperatorActions
var genericCli client.Client
ocfg = &tests.OperatorConfig{
Namespace: ns,
ReleaseName: "operator",
Image: cfg.OperatorImage,
Tag: cfg.OperatorTag,
SchedulerImage: "k8s.gcr.io/kube-scheduler",
Features: []string{
"StableScheduling=true",
"AdvancedStatefulSet=false",
},
LogLevel: "4",
ImagePullPolicy: v1.PullIfNotPresent,
TestMode: true,
}
oa = tests.NewOperatorActions(cli, c, asCli, aggrCli, apiExtCli, tests.DefaultPollInterval, ocfg, e2econfig.TestConfig, nil, fw, f)
ginkgo.By("Installing CRDs")
oa.CleanCRDOrDie()
oa.InstallCRDOrDie(ocfg)
ginkgo.By("Installing tidb-operator without AdvancedStatefulSet feature")
oa.CleanOperatorOrDie(ocfg)
oa.DeployOperatorOrDie(ocfg)
var err error
genericCli, err = client.New(config, client.Options{Scheme: scheme.Scheme})
framework.ExpectNoError(err, "failed to create clientset")
defer func() {
ginkgo.By("Uninstall tidb-operator")
oa.CleanOperatorOrDie(ocfg)
ginkgo.By("Uninstalling CRDs")
oa.CleanCRDOrDie()
}()
tc := fixture.GetTidbCluster(ns, "sts", utilimage.TiDBV3Version)
err = genericCli.Create(context.TODO(), tc)
framework.ExpectNoError(err)
err = oa.WaitForTidbClusterReady(tc, 30*time.Minute, 15*time.Second)
framework.ExpectNoError(err)
listOption := metav1.ListOptions{
LabelSelector: labels.SelectorFromSet(map[string]string{
label.InstanceLabelKey: tc.Name,
}).String(),
}
stsList, err := c.AppsV1().StatefulSets(tc.Namespace).List(listOption)
framework.ExpectNoError(err)
if len(stsList.Items) < 3 {
e2elog.Failf("at least 3 statefulsets must be created, got %d", len(stsList.Items))
}
podListBeforeUpgrade, err := c.CoreV1().Pods(tc.Namespace).List(listOption)
framework.ExpectNoError(err)
ginkgo.By("Upgrading tidb-operator with AdvancedStatefulSet feature")
ocfg.Features = []string{
"StableScheduling=true",
"AdvancedStatefulSet=true",
}
oa.InstallCRDOrDie(ocfg)
oa.UpgradeOperatorOrDie(ocfg)
ginkgo.By("Wait for the advanced statefulsets are created and Kubernetes statfulsets are deleted")
err = wait.PollImmediate(time.Second*5, time.Minute*5, func() (bool, error) {
advancedStsList, err := asCli.AppsV1().StatefulSets(tc.Namespace).List(listOption)
if err != nil {
return false, nil
}
if len(advancedStsList.Items) != len(stsList.Items) {
klog.Infof("advanced statefulsets got %d, expect %d", len(advancedStsList.Items), len(stsList.Items))
return false, nil
}
stsListAfterUpgrade, err := c.AppsV1().StatefulSets(tc.Namespace).List(listOption)
if err != nil {
return false, nil
}
if len(stsListAfterUpgrade.Items) != 0 {
klog.Infof("Kubernetes statefulsets got %d, expect %d", len(stsListAfterUpgrade.Items), 0)
return false, nil
}
return true, nil
})
framework.ExpectNoError(err)
ginkgo.By("Make sure pods are not changed")
err = utilpod.WaitForPodsAreChanged(c, podListBeforeUpgrade.Items, time.Minute*3)
framework.ExpectEqual(err, wait.ErrWaitTimeout, "Pods are changed after the operator is upgraded")
})
// tidb-operator with pod admission webhook enabled
ginkgo.Context("[Feature: PodAdmissionWebhook]", func() {
var ocfg *tests.OperatorConfig
var oa tests.OperatorActions
ginkgo.BeforeEach(func() {
ocfg = &tests.OperatorConfig{
Namespace: ns,
ReleaseName: "operator",
Image: cfg.OperatorImage,
Tag: cfg.OperatorTag,
SchedulerImage: "k8s.gcr.io/kube-scheduler",
LogLevel: "4",
ImagePullPolicy: v1.PullIfNotPresent,
TestMode: true,
WebhookEnabled: true,
PodWebhookEnabled: true,
StsWebhookEnabled: false,
}
oa = tests.NewOperatorActions(cli, c, asCli, aggrCli, apiExtCli, tests.DefaultPollInterval, ocfg, e2econfig.TestConfig, nil, fw, f)
ginkgo.By("Installing CRDs")
oa.CleanCRDOrDie()
oa.InstallCRDOrDie(ocfg)
ginkgo.By("Installing tidb-operator")
oa.CleanOperatorOrDie(ocfg)
oa.DeployOperatorOrDie(ocfg)
})
ginkgo.AfterEach(func() {
ginkgo.By("Uninstall tidb-operator")
oa.CleanOperatorOrDie(ocfg)
ginkgo.By("Uninstalling CRDs")
oa.CleanCRDOrDie()
})
ginkgo.It("[PodAdmissionWebhook] able to upgrade TiDB Cluster with pod admission webhook", func() {
klog.Info("start to upgrade tidbcluster with pod admission webhook")
// deploy new cluster and test upgrade and scale-in/out with pod admission webhook
cluster := newTidbClusterConfig(e2econfig.TestConfig, ns, "admission", "", "")
cluster.Resources["pd.replicas"] = "3"
cluster.Resources["tikv.replicas"] = "3"
cluster.Resources["tidb.replicas"] = "2"
oa.DeployTidbClusterOrDie(&cluster)
oa.CheckTidbClusterStatusOrDie(&cluster)
upgradeVersions := cfg.GetUpgradeTidbVersionsOrDie()
ginkgo.By(fmt.Sprintf("Upgrading tidb cluster from %s to %s", cluster.ClusterVersion, upgradeVersions[0]))
cluster.UpgradeAll(upgradeVersions[0])
oa.UpgradeTidbClusterOrDie(&cluster)
// TODO: find a more graceful way to check tidbcluster during upgrading
oa.CheckTidbClusterStatusOrDie(&cluster)
oa.CleanTidbClusterOrDie(&cluster)
})
})
ginkgo.Context("[Feature: Defaulting and Validating]", func() {
var ocfg *tests.OperatorConfig
var oa tests.OperatorActions
ginkgo.BeforeEach(func() {
ocfg = &tests.OperatorConfig{
Namespace: ns,
ReleaseName: "operator",
Image: cfg.OperatorImage,
Tag: cfg.OperatorTag,
SchedulerImage: "k8s.gcr.io/kube-scheduler",
LogLevel: "4",
ImagePullPolicy: v1.PullIfNotPresent,
TestMode: true,
WebhookEnabled: false,
ValidatingEnabled: true,
DefaultingEnabled: true,
SchedulerReplicas: tests.IntPtr(0),
ControllerManagerReplicas: tests.IntPtr(0),
}
oa = tests.NewOperatorActions(cli, c, asCli, aggrCli, apiExtCli, tests.DefaultPollInterval, ocfg, e2econfig.TestConfig, nil, fw, f)
ginkgo.By("Installing CRDs")
oa.CleanCRDOrDie()
oa.InstallCRDOrDie(ocfg)
ginkgo.By("Installing tidb-operator")
oa.CleanOperatorOrDie(ocfg)
oa.DeployOperatorOrDie(ocfg)
})
ginkgo.AfterEach(func() {
ginkgo.By("Uninstall tidb-operator")
oa.CleanOperatorOrDie(ocfg)
ginkgo.By("Uninstalling CRDs")
oa.CleanCRDOrDie()
})
ginkgo.It("should perform defaulting and validating properly", func() {
ginkgo.By("Resources created before webhook enabled could be operated normally")
legacyTc := &v1alpha1.TidbCluster{
ObjectMeta: metav1.ObjectMeta{
Namespace: ns,
Name: "created-by-helm",
},
Spec: v1alpha1.TidbClusterSpec{
TiDB: v1alpha1.TiDBSpec{
Replicas: 1,
ComponentSpec: v1alpha1.ComponentSpec{
Image: fmt.Sprintf("pingcap/tidb:%s", utilimage.TiDBV3Version),
},
},
TiKV: v1alpha1.TiKVSpec{
Replicas: 1,
ComponentSpec: v1alpha1.ComponentSpec{
Image: fmt.Sprintf("pingcap/tikv:%s", utilimage.TiDBV3Version),
},
},
PD: v1alpha1.PDSpec{
Replicas: 1,
ComponentSpec: v1alpha1.ComponentSpec{
Image: fmt.Sprintf("pingcap/pd:%s", utilimage.TiDBV3Version),
},
},
},
}
var err error
legacyTc, err = cli.PingcapV1alpha1().TidbClusters(ns).Create(legacyTc)
// err := genericCli.Create(context.TODO(), legacyTc)
framework.ExpectNoError(err, "Expected create tidbcluster without defaulting and validating")
ocfg.WebhookEnabled = true
oa.UpgradeOperatorOrDie(ocfg)
// now the webhook enabled
legacyTc.Spec.TiDB.Image = fmt.Sprintf("pingcap/tidb:%s", utilimage.TiDBV3Version)
legacyTc, err = cli.PingcapV1alpha1().TidbClusters(ns).Update(legacyTc)
framework.ExpectNoError(err, "Update legacy tidbcluster should not be influenced by validating")
framework.ExpectEqual(legacyTc.Spec.TiDB.BaseImage, "", "Update legacy tidbcluster should not be influenced by defaulting")
ginkgo.By("Resources created before webhook will be checked if user migrate it to use new API")
legacyTc.Spec.TiDB.BaseImage = "pingcap/tidb"
legacyTc.Spec.TiKV.BaseImage = "pingcap/tikv"
legacyTc.Spec.PD.BaseImage = "pingcap/pd"
legacyTc.Spec.PD.Version = pointer.StringPtr(utilimage.TiDBV3Version)
legacyTc, err = cli.PingcapV1alpha1().TidbClusters(ns).Update(legacyTc)
framework.ExpectNoError(err, "Expected update tidbcluster")
legacyTc.Spec.TiDB.BaseImage = ""
legacyTc.Spec.PD.Version = pointer.StringPtr("")
_, err = cli.PingcapV1alpha1().TidbClusters(ns).Update(legacyTc)
framework.ExpectError(err,
"Validating should reject mandatory fields being empty if the resource has already been migrated to use the new API")
ginkgo.By("Validating should reject legacy fields for newly created cluster")
newTC := &v1alpha1.TidbCluster{
ObjectMeta: metav1.ObjectMeta{
Namespace: ns,
Name: "newly-created",
},
Spec: v1alpha1.TidbClusterSpec{
TiDB: v1alpha1.TiDBSpec{
ComponentSpec: v1alpha1.ComponentSpec{
Image: fmt.Sprintf("pingcap/tidb:%s", utilimage.TiDBV3Version),
},
},
TiKV: v1alpha1.TiKVSpec{
ComponentSpec: v1alpha1.ComponentSpec{
Image: fmt.Sprintf("pingcap/tikv:%s", utilimage.TiDBV3Version),
},
},
PD: v1alpha1.PDSpec{
ComponentSpec: v1alpha1.ComponentSpec{
Image: fmt.Sprintf("pingcap/pd:%s", utilimage.TiDBV3Version),
},
},
},
}
_, err = cli.PingcapV1alpha1().TidbClusters(ns).Create(newTC)
framework.ExpectError(err,
"Validating should reject legacy fields for newly created cluster")
ginkgo.By("Defaulting should set proper default for newly created cluster")
newTC = &v1alpha1.TidbCluster{
ObjectMeta: metav1.ObjectMeta{
Namespace: ns,
Name: "newly-created",
},
Spec: v1alpha1.TidbClusterSpec{
Version: utilimage.TiDBV3Version,
TiDB: v1alpha1.TiDBSpec{
Replicas: 1,
},
TiKV: v1alpha1.TiKVSpec{
Replicas: 1,
},
PD: v1alpha1.PDSpec{
Replicas: 1,
},
},
}
newTC, err = cli.PingcapV1alpha1().TidbClusters(ns).Create(newTC)
framework.ExpectNoError(err, "Though some required fields are omitted, they will be set by defaulting")
// don't have to check all fields, just take some to test if defaulting set
if empty, err := gomega.BeEmpty().Match(newTC.Spec.TiDB.BaseImage); empty {
e2elog.Failf("Expected tidb.baseImage has default value set, %v", err)
}
ginkgo.By("Validating should reject illegal update")
newTC.Labels = map[string]string{
label.InstanceLabelKey: "some-insane-label-value",
}
_, err = cli.PingcapV1alpha1().TidbClusters(ns).Update(newTC)
framework.ExpectError(err, "Could not set instance label with value other than cluster name")
newTC.Spec.PD.Config = &v1alpha1.PDConfig{
Replication: &v1alpha1.PDReplicationConfig{
MaxReplicas: func() *uint64 { i := uint64(5); return &i }(),
},
}
_, err = cli.PingcapV1alpha1().TidbClusters(ns).Update(newTC)
framework.ExpectError(err, "PD replication config is immutable through CR")
})
})
ginkgo.Context("[Feature: AutoScaling]", func() {
var ocfg *tests.OperatorConfig
var oa tests.OperatorActions
ginkgo.BeforeEach(func() {
ocfg = &tests.OperatorConfig{
Namespace: ns,
ReleaseName: "operator",
Image: cfg.OperatorImage,
Tag: cfg.OperatorTag,
LogLevel: "4",
TestMode: true,
WebhookEnabled: true,
PodWebhookEnabled: true,
Features: []string{
"AutoScaling=true",
},
}
oa = tests.NewOperatorActions(cli, c, asCli, aggrCli, apiExtCli, tests.DefaultPollInterval, ocfg, e2econfig.TestConfig, nil, fw, f)
ginkgo.By("Installing CRDs")
oa.CleanCRDOrDie()
oa.InstallCRDOrDie(ocfg)
ginkgo.By("Installing tidb-operator")
oa.CleanOperatorOrDie(ocfg)
oa.DeployOperatorOrDie(ocfg)
})
ginkgo.AfterEach(func() {
ginkgo.By("Uninstall tidb-operator")
oa.CleanOperatorOrDie(ocfg)
ginkgo.By("Uninstalling CRDs")
oa.CleanCRDOrDie()
})
ginkgo.It("auto-scaling TidbCluster", func() {
clusterName := "auto-scaling"
tc := fixture.GetTidbCluster(ns, clusterName, utilimage.TiDBV3Version)
tc.Spec.PD.Replicas = 1
tc.Spec.TiKV.Replicas = 3
tc.Spec.TiDB.Replicas = 2
_, err := cli.PingcapV1alpha1().TidbClusters(ns).Create(tc)
framework.ExpectNoError(err, "Create TidbCluster error")
err = oa.WaitForTidbClusterReady(tc, 30*time.Minute, 15*time.Second)
framework.ExpectNoError(err, "Check TidbCluster error")
monitor := fixture.NewTidbMonitor("monitor", ns, tc, false, false)
// Replace Prometheus into Mock Prometheus
a := e2econfig.TestConfig.E2EImage
colonIdx := strings.LastIndexByte(a, ':')
image := a[:colonIdx]
tag := a[colonIdx+1:]
monitor.Spec.Prometheus.BaseImage = image
monitor.Spec.Prometheus.Version = tag
_, err = cli.PingcapV1alpha1().TidbMonitors(ns).Create(monitor)
framework.ExpectNoError(err, "Create TidbMonitor error")
err = tests.CheckTidbMonitor(monitor, c, fw)
framework.ExpectNoError(err, "Check TidbMonitor error")
tac := fixture.GetTidbClusterAutoScaler("auto-scaler", ns, tc, monitor)
duration := "1m"
mp := &mock.MonitorParams{
Name: tc.Name,
MemberType: v1alpha1.TiKVMemberType.String(),
Duration: duration,
// The cpu requests of tikv is 100m, so the threshold value would be 60*0.1*3*0.8 = 14.4
// so we would set Value as "5" for each instance so that the sum in each auto-scaling calculating would be 15
Value: "5.0",
InstancesPod: []string{"auto-scaling-tikv-0", "auto-scaling-tikv-1", "auto-scaling-tikv-2"},
}
err = mock.SetPrometheusResponse(monitor.Name, monitor.Namespace, mp, fw)
framework.ExpectNoError(err, "set tikv mock metrics error")
var defaultMetricSpec = autoscalingv2beta2.MetricSpec{
Type: autoscalingv2beta2.ResourceMetricSourceType,
Resource: &autoscalingv2beta2.ResourceMetricSource{
Name: corev1.ResourceCPU,
Target: autoscalingv2beta2.MetricTarget{
AverageUtilization: pointer.Int32Ptr(80),
},
},
}
// Scale Tikv To 4 replicas and Check, cpu load threshold 80%
tac.Spec.TiKV = &v1alpha1.TikvAutoScalerSpec{
BasicAutoScalerSpec: v1alpha1.BasicAutoScalerSpec{
MaxReplicas: 4,
MinReplicas: pointer.Int32Ptr(3),
MetricsTimeDuration: &duration,
ScaleInIntervalSeconds: pointer.Int32Ptr(100),
},
}
tac.Spec.TiKV.Metrics = append(tac.Spec.TiKV.Metrics, defaultMetricSpec)
_, err = cli.PingcapV1alpha1().TidbClusterAutoScalers(ns).Create(tac)
framework.ExpectNoError(err, "Create TidbMonitorClusterAutoScaler error")
pdClient, cancel, err := proxiedpdclient.NewProxiedPDClient(c, fw, ns, clusterName, false, nil)
framework.ExpectNoError(err, "create pdapi error")
defer cancel()
var firstScaleTimestamp int64
err = wait.Poll(10*time.Second, 10*time.Minute, func() (done bool, err error) {
tc, err := cli.PingcapV1alpha1().TidbClusters(tc.Namespace).Get(tc.Name, metav1.GetOptions{})
if err != nil {
return false, nil
}
// check replicas
if tc.Spec.TiKV.Replicas != int32(4) {
klog.Infof("tikv haven't auto-scale to 4 replicas")
return false, nil
}
if len(tc.Status.TiKV.Stores) != 4 {
klog.Infof("tikv's stores haven't auto-scale to 4")
return false, nil
}
// check annotations
if tc.Annotations == nil || len(tc.Annotations) < 1 {
klog.Infof("tc haven't marked any annotation")
return false, nil
}
tac, err = cli.PingcapV1alpha1().TidbClusterAutoScalers(ns).Get(tac.Name, metav1.GetOptions{})
if err != nil {
return false, nil
}
if tac.Annotations == nil || len(tac.Annotations) < 1 {
klog.Infof("tac haven't marked any annotation")
return false, nil
}
v, ok := tac.Annotations[label.AnnTiKVLastAutoScalingTimestamp]
if !ok {
klog.Infof("tac haven't marked any annotation")
return false, nil
}
firstScaleTimestamp, err = strconv.ParseInt(v, 10, 64)
if err != nil {
return false, err
}
// check store label
storeId := ""
for k, v := range tc.Status.TiKV.Stores {
if v.PodName == util.GetPodName(tc, v1alpha1.TiKVMemberType, int32(3)) {
storeId = k
break
}
}
if storeId == "" {
return false, nil
}
sid, err := strconv.ParseUint(storeId, 10, 64)
if err != nil {
return false, err
}
info, err := pdClient.GetStore(sid)
if err != nil {
return false, nil
}
for _, label := range info.Store.Labels {
if label.Key == "specialUse" && label.Value == "hotRegion" {
return true, nil
}
}
klog.Infof("tikv auto-scale out haven't find the special label")
return false, nil
})
framework.ExpectNoError(err, "check tikv auto-scale to 4 error")
klog.Info("success to check tikv auto scale-out to 4 replicas")
mp = &mock.MonitorParams{
Name: tc.Name,
MemberType: v1alpha1.TiKVMemberType.String(),
Duration: duration,
// The cpu requests of tikv is 100m, so the threshold value would be 60*0.1*4*0.8 = 19.2
// so we would set Value as "1" for each instance so that the sum in each auto-scaling calculating would be 4
Value: "1.0",
InstancesPod: []string{"auto-scaling-tikv-0", "auto-scaling-tikv-1", "auto-scaling-tikv-2", "auto-scaling-tikv-3"},
}
err = mock.SetPrometheusResponse(monitor.Name, monitor.Namespace, mp, fw)
framework.ExpectNoError(err, "set tikv mock metrics error")
err = wait.Poll(5*time.Second, 5*time.Minute, func() (done bool, err error) {
tc, err = cli.PingcapV1alpha1().TidbClusters(tc.Namespace).Get(tc.Name, metav1.GetOptions{})
if err != nil {
return false, nil
}
if tc.Spec.TiKV.Replicas != 3 {
klog.Info("tikv haven't auto-scale to 3 replicas")
return false, nil
}
if len(tc.Status.TiKV.Stores) != 3 {
klog.Info("tikv's store haven't auto-scale to 3")
return false, nil
}
if tc.Annotations != nil && len(tc.Annotations) > 0 {
_, ok := tc.Annotations[label.AnnTiKVAutoScalingOutOrdinals]
if ok {
klog.Infof("tikv auto-scale out annotation still exists")
return false, nil
}
}
tac, err = cli.PingcapV1alpha1().TidbClusterAutoScalers(ns).Get(tac.Name, metav1.GetOptions{})
if err != nil {
return false, nil
}
if tac.Annotations == nil || len(tac.Annotations) < 1 {
klog.Infof("tc haven't marked any annotation")
return false, nil
}
v, ok := tac.Annotations[label.AnnTiKVLastAutoScalingTimestamp]
if !ok {
klog.Infof("tac haven't marked any annotation")
return false, nil
}
secondTs, err := strconv.ParseInt(v, 10, 64)
if err != nil {
return false, err
}
if secondTs == firstScaleTimestamp {
klog.Info("tikv haven't scale yet")
return false, nil
}
if secondTs-firstScaleTimestamp < 100 {
return false, fmt.Errorf("tikv second scale's interval isn't meeting the interval requirement")
}
return true, nil
})
framework.ExpectNoError(err, "check tikv auto-scale to 3 error")
klog.Info("success to check tikv auto scale-in to 3 replicas")
mp = &mock.MonitorParams{
Name: tc.Name,
MemberType: v1alpha1.TiDBMemberType.String(),
Duration: duration,
// The cpu requests of tidb is 100m, so the threshold value would be 60*0.1*2*0.8 = 9.6
// so we would set Value as "5" for each instance so that the sum in each auto-scaling calculating would be 10
Value: "5.0",
InstancesPod: []string{"auto-scaling-tidb-0", "auto-scaling-tidb-1"},
}
err = mock.SetPrometheusResponse(monitor.Name, monitor.Namespace, mp, fw)
framework.ExpectNoError(err, "set tidb mock metrics error")
// Scale Tidb to 3 replicas and Check
tac, err = cli.PingcapV1alpha1().TidbClusterAutoScalers(ns).Get(tac.Name, metav1.GetOptions{})
framework.ExpectNoError(err, "Get TidbCluster AutoScaler err")
tac.Spec.TiKV = nil
tac.Spec.TiDB = &v1alpha1.TidbAutoScalerSpec{
BasicAutoScalerSpec: v1alpha1.BasicAutoScalerSpec{
MaxReplicas: 3,
MinReplicas: pointer.Int32Ptr(2),
MetricsTimeDuration: &duration,
ScaleInIntervalSeconds: pointer.Int32Ptr(100),
},
}
tac.Spec.TiDB.Metrics = append(tac.Spec.TiDB.Metrics, defaultMetricSpec)
_, err = cli.PingcapV1alpha1().TidbClusterAutoScalers(ns).Update(tac)
framework.ExpectNoError(err, "Update TidbMonitorClusterAutoScaler error")
err = wait.Poll(5*time.Second, 5*time.Minute, func() (done bool, err error) {
tc, err = cli.PingcapV1alpha1().TidbClusters(tc.Namespace).Get(tc.Name, metav1.GetOptions{})
if err != nil {
return false, nil
}
if tc.Spec.TiDB.Replicas != 3 {
klog.Info("tidb haven't auto-scaler to 3 replicas")
return false, nil
}
tac, err = cli.PingcapV1alpha1().TidbClusterAutoScalers(ns).Get(tac.Name, metav1.GetOptions{})
if err != nil {
return false, nil
}
if tac.Annotations == nil || len(tac.Annotations) < 1 {
klog.Info("tac haven't marked any annotations")
return false, nil
}
v, ok := tac.Annotations[label.AnnTiDBLastAutoScalingTimestamp]
if !ok {
klog.Info("tac haven't marked tidb auto-scaler timstamp annotation")
return false, nil
}
firstScaleTimestamp, err = strconv.ParseInt(v, 10, 64)
if err != nil {
return false, err
}
return true, nil
})
framework.ExpectNoError(err, "check tidb auto-scale to 3 error")
klog.Infof("success to check tidb auto scale-out to 3 replicas")
mp = &mock.MonitorParams{
Name: tc.Name,
MemberType: v1alpha1.TiDBMemberType.String(),
Duration: duration,
// The cpu requests of tidb is 100m, so the threshold value would be 60*0.1*2*0.8 = 9.6
// so we would set Value as "1" for each instance so that the sum in each auto-scaling calculating would be 3
Value: "1.0",
InstancesPod: []string{"auto-scaling-tidb-0", "auto-scaling-tidb-1", "auto-scaling-tidb-2"},
}
err = mock.SetPrometheusResponse(monitor.Name, monitor.Namespace, mp, fw)
framework.ExpectNoError(err, "set tidb mock metrics error")
// Scale Tidb to 2 Replicas and Check
err = wait.Poll(5*time.Second, 5*time.Minute, func() (done bool, err error) {
tc, err = cli.PingcapV1alpha1().TidbClusters(tc.Namespace).Get(tc.Name, metav1.GetOptions{})
if err != nil {
return false, nil
}
if tc.Spec.TiDB.Replicas != 2 {
klog.Info("tidb haven't auto-scaler to 2 replicas")
return false, nil
}
tac, err = cli.PingcapV1alpha1().TidbClusterAutoScalers(ns).Get(tac.Name, metav1.GetOptions{})
if err != nil {
return false, nil
}
if tac.Annotations == nil || len(tac.Annotations) < 1 {
klog.Info("tac haven't marked any annotations")
return false, nil
}
v, ok := tac.Annotations[label.AnnTiDBLastAutoScalingTimestamp]
if !ok {
klog.Info("tac haven't marked tidb auto-scale timestamp")
return false, nil
}
secondTs, err := strconv.ParseInt(v, 10, 64)
if err != nil {
return false, err
}
if secondTs == firstScaleTimestamp {
klog.Info("tidb haven't scale yet")
return false, nil
}
if secondTs-firstScaleTimestamp < 100 {
return false, fmt.Errorf("tikv second scale's interval isn't meeting the interval requirement")
}
return true, nil
})
framework.ExpectNoError(err, "check tidb auto-scale to 2 error")
klog.Info("success to check auto scale-in tidb to 2 replicas")
})
})
ginkgo.Context("[Verify: Upgrading Operator from 1.0.6", func() {
var oa tests.OperatorActions
var ocfg *tests.OperatorConfig
var version string
ginkgo.BeforeEach(func() {
version = "v1.0.6"
ocfg = &tests.OperatorConfig{
Namespace: ns,
ReleaseName: "operator",
Tag: version,
Image: fmt.Sprintf("pingcap/tidb-operator:%s", version),
}
oa = tests.NewOperatorActions(cli, c, asCli, aggrCli, apiExtCli, tests.DefaultPollInterval, ocfg, e2econfig.TestConfig, nil, fw, f)
ginkgo.By("Installing CRDs")
oa.CleanCRDOrDie()
tests.DeployReleasedCRDOrDie(version)
ginkgo.By("Installing tidb-operator")
oa.CleanOperatorOrDie(ocfg)
oa.DeployOperatorOrDie(ocfg)
})
ginkgo.AfterEach(func() {
ginkgo.By("Uninstall tidb-operator")
oa.CleanOperatorOrDie(ocfg)
ginkgo.By("Uninstalling CRDs")
tests.CleanReleasedCRDOrDie(version)
})
ginkgo.It("Deploy TidbCluster and Upgrade Operator", func() {
tcName := "tidbcluster"
cluster := newTidbClusterConfig(e2econfig.TestConfig, ns, tcName, "", "")
cluster.Resources["pd.replicas"] = "3"
cluster.Resources["tikv.replicas"] = "3"
cluster.Resources["tidb.replicas"] = "2"
cluster.Monitor = false
cluster.OperatorTag = version
oa.DeployTidbClusterOrDie(&cluster)
oa.CheckTidbClusterStatusOrDie(&cluster)
getPods := func(ls string) ([]v1.Pod, error) {
listOptions := metav1.ListOptions{
LabelSelector: ls,