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操作场景

本文介绍如何在本地开启日志追踪,以获取更详细的日志,便于自查及协助工单处理。

操作步骤

1. 在 CLI 中执行 terraform apply 前,可以使用以下命令开启本地日志跟踪:
export TF_LOG=DEBUG
export TF_LOG_PATH=./terraform.log
2. 开启后,再次执行以下命令。
terraform apply/destroy
执行完毕后,可查看 Terraform 本地文件夹会生成一个 terraform.log 的文件。文件记录了 tencentcloud provider 定义的日志输出。如下图所示:




示例

以下为执行出错示例,及分析定位问题的过程。本例中创建了一个 K8S cluster 并挂载一台已经存在的 CVM 作节点。
➜ terraform apply

2021/12/09 17:53:02 [WARN] Log levels other than TRACE are currently unreliable, and are supported only for backward compatibility.
Use TF_LOG=TRACE to see Terraform's internal logs.
----
data.tencentcloud_instance_types.default: Refreshing state...
data.tencentcloud_cbs_storages.storages: Refreshing state...
data.tencentcloud_vpc_subnets.vpc2: Refreshing state...
data.tencentcloud_images.default: Refreshing state...
data.tencentcloud_vpc_subnets.vpc: Refreshing state...
An execution plan has been generated and is shown below.
Resource actions are indicated with the following symbols:
+ create

Terraform will perform the following actions:

# tencentcloud_kubernetes_cluster.managed_cluster will be created
+ resource "tencentcloud_kubernetes_cluster" "managed_cluster" {
+ certification_authority = (known after apply)
+ claim_expired_seconds = 300
+ cluster_as_enabled = false
+ cluster_cidr = "10.1.0.0/16"
+ cluster_deploy_type = "MANAGED_CLUSTER"
+ cluster_desc = "test cluster desc"
+ cluster_external_endpoint = (known after apply)
+ cluster_internet = false
+ cluster_intranet = false
+ cluster_ipvs = true
+ cluster_max_pod_num = 32
+ cluster_max_service_num = 32
+ cluster_name = "keep"
+ cluster_node_num = (known after apply)
+ cluster_os = "ubuntu16.04.1 LTSx86_64"
+ cluster_os_type = "GENERAL"
+ cluster_version = "1.10.5"
+ container_runtime = "docker"
+ deletion_protection = false
+ domain = (known after apply)
+ id = (known after apply)
+ ignore_cluster_cidr_conflict = false
+ is_non_static_ip_mode = false
+ kube_config = (known after apply)
+ network_type = "GR"
+ node_name_type = "lan-ip"
+ password = (known after apply)
+ pgw_endpoint = (known after apply)
+ security_policy = (known after apply)
+ user_name = (known after apply)
+ vpc_id = "vpc-h70b6b49"
+ worker_instances_list = (known after apply)

+ worker_config {
+ availability_zone = "ap-guangzhou-3"
+ count = 1
+ enhanced_monitor_service = false
+ enhanced_security_service = false
+ instance_charge_type = "POSTPAID_BY_HOUR"
+ instance_charge_type_prepaid_period = 1
+ instance_charge_type_prepaid_renew_flag = "NOTIFY_AND_MANUAL_RENEW"
+ instance_name = "sub machine of tke"
+ instance_type = "S1.SMALL1"
+ internet_charge_type = "TRAFFIC_POSTPAID_BY_HOUR"
+ internet_max_bandwidth_out = 100
+ password = (sensitive value)
+ public_ip_assigned = true
+ subnet_id = "subnet-1uwh63so"
+ system_disk_size = 60
+ system_disk_type = "CLOUD_SSD"
+ user_data = "dGVzdA=="

+ data_disk {
+ disk_size = 50
+ disk_type = "CLOUD_PREMIUM"
}
}
}

# tencentcloud_kubernetes_cluster_attachment.test_attach will be created
+ resource "tencentcloud_kubernetes_cluster_attachment" "test_attach" {
+ cluster_id = (known after apply)
+ hostname = "user"
+ id = (known after apply)
+ instance_id = "ins-lmnl6t1g"
+ labels = {
+ "test1" = "test1"
+ "test2" = "test2"
}
+ password = (sensitive value)
+ security_groups = (known after apply)
+ state = (known after apply)

+ worker_config {
+ docker_graph_path = "/var/lib/docker"
+ is_schedule = true

+ data_disk {
+ auto_format_and_mount = false
+ disk_size = 50
+ disk_type = "CLOUD_PREMIUM"
}
}
}

Plan: 2 to add, 0 to change, 0 to destroy.

Do you want to perform these actions?
Terraform will perform the actions described above.
Only 'yes' will be accepted to approve.

Enter a value: yes

tencentcloud_kubernetes_cluster.managed_cluster: Creating...

Error: [TencentCloudSDKError] Code=InternalError.CidrConflictWithOtherCluster, Message=DashboardError,Code : -10013 , Msg : CIDR_CONFLICT_WITH_OTHER_CLUSTER[cidr 10.1.0.0/16 is conflict with cluster id: cls-1zc0kpyo], err : CheckCIDRWithVPCClusters failed,CIDR(10.1.0.0/16) conflict with clusterCIDR,ClusterID:cls-1zc0kpyo,clusterCIDR:10.1.0.0/16,err:CIDR1:10.1.0.0/16,firstIP:10.1.0.0,conflict with CIDR2:10.1.0.0/16, RequestId=d7dfb178-f081-480a-9bc3-89efc5fb1db5

on main.tf line 424, in resource "tencentcloud_kubernetes_cluster" "managed_cluster":
424: resource "tencentcloud_kubernetes_cluster" "managed_cluster" {

CLI 提示错误如下:
[TencentCloudSDKError] Code=InternalError.CidrConflictWithOtherCluster, Message=DashboardError,Code : -10013 , Msg : CIDR_CONFLICT_WITH_OTHER_CLUSTER[cidr 10.1.0.0/16 is conflict with cluster id: cls-1zc0kpyo], err : CheckCIDRWithVPCClusters failed,CIDR(10.1.0.0/16) conflict with clusterCIDR,ClusterID:cls-1zc0kpyo,clusterCIDR:10.1.0.0/16,err:CIDR1:10.1.0.0/16,firstIP:10.1.0.0,conflict with CIDR2:10.1.0.0/16, RequestId=d7dfb178-f081-480a-9bc3-89efc5fb1db5
问题分析及定位:
1. 找到 requestId: d7dfb178-f081-480a-9bc3-89efc5fb1db5
2. 打开 terraform.log,搜索该 requestId,找到上下文如下所示:
2021-12-09T17:53:20.222+0800 [DEBUG] plugin.terraform-provider-tencentcloud.exe: 2021/02/25 17:53:20 [DEBUG] setting computed for "worker_instances_list" from ComputedKeys

_CONFLICT_WITH_OTHER_CLUSTER[cidr 10.1.0.0/16 is conflict with cluster id: cls-1zc0kpyo], err : CheckCIDRWithVPCClusters failed,CIDR(10.1.0.0/16) conflict with clusterCIDR,ClusterID:cls-1zc0kpyo,clusterCIDR:10.1.0.0/16,err:CIDR1:10.1.0.0/16,firstIP:10.1.0.0,conflict with CIDR2:10.1.0.0/16"},"RequestId":"d7dfb178-f081-480a-9bc3-89efc5fb1db5"}},cost 370.8109ms

6 is conflict with cluster id: cls-1zc0kpyo], err : CheckCIDRWithVPCClusters failed,CIDR(10.1.0.0/16) conflict with clusterCIDR,ClusterID:cls-1zc0kpyo,clusterCIDR:10.1.0.0/16,err:CIDR1:10.1.0.0/16,firstIP:10.1.0.0,conflict with CIDR2:10.1.0.0/16, RequestId=40d3ee5d-f723-4ef9-8f01-32d725464d51

2021-12-09T17:53:20.593+0800 [DEBUG] plugin.terraform-provider-tencentcloud.exe: 2021/12/09 17:53:20 common.go:79: [DEBUG] [ELAPSED] resource.tencentcloud_kubernetes_cluster.create elapsed 371 ms
3. 分析日志,可定位是创建 K8s cluster 过程中出现问题。示例中是因为 cidr 与已存在的其他 K8s cluster 有冲突造成的。
说明:
若 CLI 提示错误信息不够清晰,或无 requestID 的报错造成定位有困难,可将 tf 项目文件,CLI 提示错误以及其产生的日志 terraform.log 文件通过 提交工单 请求协助。