文档文档

usage.limits() 函数

usage.limits() 是实验性的,并且随时可能更改

usage.limits() 返回一个记录,其中包含 InfluxDB Cloud 组织的使用限制。

示例输出记录

{
    orgID: "123",
    rate: {
        readKBs: 1000,
        concurrentReadRequests: 0,
        writeKBs: 17,
        concurrentWriteRequests: 0,
        cardinality: 10000,
    },
    bucket: {maxBuckets: 2, maxRetentionDuration: 2592000000000000},
    task: {maxTasks: 5},
    dashboard: {maxDashboards: 5},
    check: {maxChecks: 2},
    notificationRule: {maxNotifications: 2, blockedNotificationRules: "comma, delimited, list"},
    notificationEndpoint: {blockedNotificationEndpoints: "comma, delimited, list"},
}
函数类型签名
(?host: string, ?orgID: string, ?token: string) => A

有关更多信息,请参阅函数类型签名

参数

host

InfluxDB Cloud 区域 URL。默认为 ""

(如果在您的 InfluxDB Cloud 组织或区域外部执行,则为必填项).

orgID

InfluxDB Cloud 组织 ID。默认为 ""

(如果在您的 InfluxDB Cloud 组织或区域外部执行,则为必填项).

token

InfluxDB Cloud API 令牌。默认为 ""

(如果在您的 InfluxDB Cloud 组织或区域外部执行,则为必填项).

示例

获取您的 InfluxDB Cloud 组织的速率限制

import "experimental/usage"

usage.limits()

获取不同 InfluxDB Cloud 组织的速率限制

import "experimental/usage"
import "influxdata/influxdb/secrets"

token = secrets.get(key: "INFLUX_TOKEN")

usage.limits(
    host: "https://us-west-2-1.aws.cloud2.influxdata.com",
    orgID: "x000X0x0xx0X00x0",
    token: token,
)

在表格中输出组织限制

import "array"
import "experimental/usage"

limits = usage.limits()

array.from(
    rows: [
        {
            orgID: limits.orgID,
            limitGroup: "rate",
            limitName: "Read (kb/s)",
            limit: limits.rate.readKBs,
        },
        {
            orgID: limits.orgID,
            limitGroup: "rate",
            limitName: "Concurrent Read Requests",
            limit: limits.rate.concurrentReadRequests,
        },
        {
            orgID: limits.orgID,
            limitGroup: "rate",
            limitName: "Write (kb/s)",
            limit: limits.rate.writeKBs,
        },
        {
            orgID: limits.orgID,
            limitGroup: "rate",
            limitName: "Concurrent Write Requests",
            limit: limits.rate.concurrentWriteRequests,
        },
        {
            orgID: limits.orgID,
            limitGroup: "rate",
            limitName: "Cardinality",
            limit: limits.rate.cardinality,
        },
        {
            orgID: limits.orgID,
            limitGroup: "bucket",
            limitName: "Max Buckets",
            limit: limits.bucket.maxBuckets,
        },
        {
            orgID: limits.orgID,
            limitGroup: "bucket",
            limitName: "Max Retention Period (ns)",
            limit: limits.bucket.maxRetentionDuration,
        },
        {
            orgID: limits.orgID,
            limitGroup: "task",
            limitName: "Max Tasks",
            limit: limits.task.maxTasks,
        },
        {
            orgID: limits.orgID,
            limitGroup: "dashboard",
            limitName: "Max Dashboards",
            limit: limits.dashboard.maxDashboards,
        },
        {
            orgID: limits.orgID,
            limitGroup: "check",
            limitName: "Max Checks",
            limit: limits.check.maxChecks,
        },
        {
            orgID: limits.orgID,
            limitGroup: "notificationRule",
            limitName: "Max Notification Rules",
            limit: limits.notificationRule.maxNotifications,
        },
    ],
)

输出当前基数与您的基数限制

import "experimental/usage"
import "influxdata/influxdb"

limits = usage.limits()
bucketCardinality = (bucket) =>
    (influxdb.cardinality(bucket: bucket, start: time(v: 0))
        |> findColumn(fn: (key) => true, column: "_value"))[0]

buckets()
    |> filter(fn: (r) => not r.name =~ /^_/)
    |> map(fn: (r) => ({bucket: r.name, Cardinality: bucketCardinality(bucket: r.name)}))
    |> sum(column: "Cardinality")
    |> map(fn: (r) => ({r with "Cardinality Limit": limits.rate.cardinality}))

此页是否对您有帮助?

感谢您的反馈!


Flux 的未来

Flux 即将进入维护模式。您可以继续像目前一样使用它,而无需对您的代码进行任何更改。

阅读更多

现已正式发布

InfluxDB 3 Core 和 Enterprise

快速启动。更快扩展。

获取更新

InfluxDB 3 Core 是一款开源、高速、近期数据引擎,可实时收集和处理数据,并将其持久化到本地磁盘或对象存储。InfluxDB 3 Enterprise 构建于 Core 的基础上,增加了高可用性、读取副本、增强的安全性以及数据压缩,从而实现更快的查询和优化的存储。InfluxDB 3 Enterprise 的免费层级可供非商业家庭或业余爱好者使用。

更多信息,请查看