diff --git a/nezha-fronted/src/assets/css/components/page/dashboard/explore/explore.scss b/nezha-fronted/src/assets/css/components/page/dashboard/explore/explore.scss index 5299425cb..30615d7b2 100644 --- a/nezha-fronted/src/assets/css/components/page/dashboard/explore/explore.scss +++ b/nezha-fronted/src/assets/css/components/page/dashboard/explore/explore.scss @@ -256,7 +256,8 @@ } .doc-content > h1 { color: #e6522c; - font-size: 22px; + font-size: 26px; + // font-size: 22px; } .doc-content > h2 { @@ -368,7 +369,8 @@ article { } > h1,.page-header { color: #e6522c; - font-size: 22px; + font-size: 26px; + // font-size: 22px; font-weight: 600; text-transform: uppercase; margin-top: 15px; @@ -378,6 +380,13 @@ article { text-decoration: none; } } + > h1,.page-header-two { + color: #e6522c; + font-size: 22px; + font-weight: 600; + margin-top: 50px; + text-transform: none; + } .title-heard__divider{ margin: 5px 0 5px 0; } diff --git a/nezha-fronted/src/components/page/dashboard/explore/exploreItem.vue b/nezha-fronted/src/components/page/dashboard/explore/exploreItem.vue index 0a6c82e36..41fd3aa5f 100644 --- a/nezha-fronted/src/components/page/dashboard/explore/exploreItem.vue +++ b/nezha-fronted/src/components/page/dashboard/explore/exploreItem.vue @@ -297,7 +297,7 @@ instance_cpu_time_ns{app="fox", proc="widget", rev="4d3a513", env="prod", job="c
All LogQL queries contain a log stream selector.

Optionally, the log stream selector can be followed by a log pipeline. A log pipeline is a set of stage expressions that are chained together and applied to the selected log streams. Each expression can filter out, parse, or mutate log lines and their respective labels.
@@ -646,7 +646,7 @@ instance_cpu_time_ns{app="fox", proc="widget", rev="4d3a513", env="prod", job="cMetric queries extend log queries by applying a function to log query results. This powerful feature creates metrics from logs.
Metric queries can be used to calculate the rate of error messages or the top N log sources with the greatest quantity of logs over the last 3 hours.
@@ -698,7 +698,7 @@ level=info ts=2020-10-23T20:32:18.068866235Z caller=metrics.go:81 org_id=29 tracLogQL shares the range vector concept of Prometheus. In Grafana Loki, the selected range of samples is a range of selected log or label values.
The aggregation is applied over a time duration. Loki defines Time Durations with the same syntax as Prometheus.
@@ -786,7 +786,7 @@ level=info ts=2020-10-23T20:32:18.068866235Z caller=metrics.go:81 org_id=29 tracLike PromQL, LogQL supports a subset of built-in aggregation operators that can be used to aggregate the element of a single vector, resulting in a new vector of fewer elements but with aggregated values: