本示例将使用 GraphQL Analytics API 查询特定时间范围内按主机名聚合的 HTTP 事件指标。
以下 API 调用将请求自定义主机名 hostname.example.com 在四天内的访问次数和边缘响应字节数。请务必将 CLOUDFLARE_ZONE_TAG 和 API_TOKEN1 替换为你的 zone ID 和 API 凭据,并根据需要调整 datetime_geq 和 datetime_leq 的值。
echo '{ "query":
"query RequestsAndDataTransferByHostname($zoneTag: string, $filter:filter) {
viewer {
zones(filter: {zoneTag: $zoneTag}) {
httpRequestsAdaptiveGroups(limit: 10, filter: $filter) {
sum {
visits
edgeResponseBytes
}
dimensions {
datetimeHour
}
}
}
}
}",
"variables": {
"zoneTag": "<CLOUDFLARE_ZONE_TAG>",
"filter": {
"datetime_geq": "2022-07-20T11:00:00Z",
"datetime_lt": "2022-07-24T12:00:00Z",
"clientRequestHTTPHost": "hostname.example.com",
"requestSource": "eyeball"
}
}
}' | tr -d '\n' | curl --silent \
https://api.cloudflare.com/client/v4/graphql \
--header "Authorization: Bearer <API_TOKEN>" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data @- | jq .返回的结果将为 JSON 格式(按请求),因此将输出通过管道传给 jq 会更易于阅读,如下例所示:
{
"data": {
"viewer": {
"zones": [
{
"httpRequestsAdaptiveGroups": [
{
"dimensions": {
"datetimeHour": "2022-07-21T10:00:00Z"
},
"sum": {
"edgeResponseBytes": 19849385,
"visits": 4383
}
},
{
"dimensions": {
"datetimeHour": "2022-07-21T06:00:00Z"
},
"sum": {
"edgeResponseBytes": 20607204,
"visits": 4375
}
},
{
"dimensions": {
"datetimeHour": "2022-07-26T05:00:00Z"
},
"sum": {
"edgeResponseBytes": 20170839,
"visits": 4519
}
},
{
"dimensions": {
"datetimeHour": "2022-07-23T08:00:00Z"
},
"sum": {
"edgeResponseBytes": 20141860,
"visits": 4448
}
},
{
"dimensions": {
"datetimeHour": "2022-07-25T15:00:00Z"
},
"sum": {
"edgeResponseBytes": 21070367,
"visits": 4469
}
},
{
"dimensions": {
"datetimeHour": "2022-07-28T08:00:00Z"
},
"sum": {
"edgeResponseBytes": 19200774,
"visits": 4345
}
},
{
"dimensions": {
"datetimeHour": "2022-07-26T02:00:00Z"
},
"sum": {
"edgeResponseBytes": 20758067,
"visits": 4502
}
},
{
"dimensions": {
"datetimeHour": "2022-07-20T19:00:00Z"
},
"sum": {
"edgeResponseBytes": 22127811,
"visits": 4443
}
},
{
"dimensions": {
"datetimeHour": "2022-07-27T15:00:00Z"
},
"sum": {
"edgeResponseBytes": 20480644,
"visits": 4268
}
},
{
"dimensions": {
"datetimeHour": "2022-07-27T17:00:00Z"
},
"sum": {
"edgeResponseBytes": 19885704,
"visits": 4287
}
}
]
}
]
}
},
"errors": null
}我们将使用 GraphQL Analytics API 查询 zone 中消耗最高的前 10 个 URL,帮助你识别资源用量最高的 URL。以下是一些配置说明:
- 要按特定主机名筛选,在
"requestSource"下方添加"clientRequestHTTPHost": "'$2'"这一行。 - 将
API_TOKEN替换为使用Read all resources权限生成的 API 令牌。该脚本仅能访问令牌创建者可用的 zone。 - 将 zone ID(
zoneTag)作为参数ARG=$1传入。 - 要计算当前日期和 30 天前的日期,在 Mac 上使用
gdate:CURRENTDATE=$(gdate -u +'%FT%TZ')OLDDATE=$(gdate -d '-30 days' -u +'%FT%TZ')。
- 对于过去 30 天内的特定日期,将
CURRENTDATE和OLDDATE变量设置为"YYYY-MM-DDTHH:MM:SSZ"格式。
curl --silent \
https://api.cloudflare.com/client/v4/graphql \
--header "Authorization: Bearer <API_TOKEN>" \
--header "Content-Type: application/json" \
--data '{
"query": "{viewer {zones(filter: {zoneTag: $zoneTag}) {topPaths: httpRequestsAdaptiveGroups(filter: $filter, limit: 10, orderBy: [sum_edgeResponseBytes_DESC]) {count sum {edgeResponseBytes} dimensions {metric: clientRequestPath}}}}}",
"variables": {
"zoneTag": "'$ARG'",
"filter": {
"AND": [
{
"datetime_geq": "'$OLDDATE'",
"datetime_leq": "'$CURRENTDATE'"
},
{
"requestSource": "eyeball"
}
]
}
}
}' | jq -r 'try .data.viewer.zones[].topPaths[] | "\"\(.dimensions.metric)\": \(.sum.edgeResponseBytes)"' | sort-
有关配置和权限的更多信息,请参阅 Configure an Analytics API token。 ↩