From a710d43a20ffad0b7fb1d81bce01d5fa834ea8c5 Mon Sep 17 00:00:00 2001 From: hagen1778 Date: Fri, 18 Oct 2024 14:26:47 +0200 Subject: [PATCH] app/{vmselect,vlselect}: run make vmui-update vmui-logs-update Signed-off-by: hagen1778 --- app/vmselect/vmui/asset-manifest.json | 8 ++-- app/vmselect/vmui/index.html | 2 +- .../vmui/static/css/main.d871147a.css | 1 - app/vmselect/vmui/static/js/main.621c4b4d.js | 2 - .../static/js/main.621c4b4d.js.LICENSE.txt | 38 ------------------- 5 files changed, 5 insertions(+), 46 deletions(-) delete mode 100644 app/vmselect/vmui/static/css/main.d871147a.css delete mode 100644 app/vmselect/vmui/static/js/main.621c4b4d.js delete mode 100644 app/vmselect/vmui/static/js/main.621c4b4d.js.LICENSE.txt diff --git a/app/vmselect/vmui/asset-manifest.json b/app/vmselect/vmui/asset-manifest.json index 3b827eeff..b1d52c0d0 100644 --- a/app/vmselect/vmui/asset-manifest.json +++ b/app/vmselect/vmui/asset-manifest.json @@ -1,13 +1,13 @@ { "files": { - "main.css": "./static/css/main.d871147a.css", - "main.js": "./static/js/main.621c4b4d.js", + "main.css": "./static/css/main.d781989c.css", + "main.js": "./static/js/main.68e2aae8.js", "static/js/685.f772060c.chunk.js": "./static/js/685.f772060c.chunk.js", "static/media/MetricsQL.md": "./static/media/MetricsQL.a00044c91d9781cf8557.md", "index.html": "./index.html" }, "entrypoints": [ - "static/css/main.d871147a.css", - "static/js/main.621c4b4d.js" + "static/css/main.d781989c.css", + "static/js/main.68e2aae8.js" ] } \ No newline at end of file diff --git a/app/vmselect/vmui/index.html b/app/vmselect/vmui/index.html index c886e92f8..0dd3f5db0 100644 --- a/app/vmselect/vmui/index.html +++ b/app/vmselect/vmui/index.html @@ -1 +1 @@ -vmui
\ No newline at end of file +vmui
\ No newline at end of file diff --git a/app/vmselect/vmui/static/css/main.d871147a.css b/app/vmselect/vmui/static/css/main.d871147a.css deleted file mode 100644 index 9671d3b1b..000000000 --- a/app/vmselect/vmui/static/css/main.d871147a.css +++ /dev/null @@ -1 +0,0 @@ -.vm-tabs{gap:12px;height:100%;position:relative;-webkit-user-select:none;user-select:none}.vm-tabs,.vm-tabs-item{align-items:center;display:flex;justify-content:center}.vm-tabs-item{color:inherit;cursor:pointer;font-size:inherit;font-weight:inherit;opacity:.6;padding:12px 8px;text-decoration:none;text-transform:capitalize;transition:opacity .2s}.vm-tabs-item_active{opacity:1}.vm-tabs-item:hover{opacity:.8}.vm-tabs-item__icon{display:grid;margin-right:8px;width:16px}.vm-tabs-item__icon_single{margin-right:0}.vm-tabs__indicator{border-bottom:2px solid;position:absolute;transition:width .2s ease,left .3s cubic-bezier(.28,.84,.42,1)}.vm-alert{grid-gap:8px;align-items:center;background-color:var(--color-background-block);border-radius:8px;box-shadow:var(--box-shadow);color:var(--color-text);display:grid;font-size:14px;font-weight:400;gap:8px;grid-template-columns:20px 1fr;line-height:1.5;padding:12px;position:relative}.vm-alert_mobile{align-items:flex-start;border-radius:0}.vm-alert:after{border-radius:8px;content:"";height:100%;left:0;opacity:.1;position:absolute;top:0;width:100%;z-index:1}.vm-alert_mobile:after{border-radius:0}.vm-alert__content,.vm-alert__icon{position:relative;z-index:2}.vm-alert__icon{align-items:center;display:flex;justify-content:center}.vm-alert__content{filter:brightness(.6);white-space:pre-line}.vm-alert_success{color:var(--color-success)}.vm-alert_success:after{background-color:var(--color-success)}.vm-alert_error{color:var(--color-error)}.vm-alert_error:after{background-color:var(--color-error)}.vm-alert_info{color:var(--color-info)}.vm-alert_info:after{background-color:var(--color-info)}.vm-alert_warning{color:var(--color-warning)}.vm-alert_warning:after{background-color:var(--color-warning)}.vm-alert_dark:after{opacity:.1}.vm-alert_dark .vm-alert__content{filter:none}.vm-header{align-items:center;display:flex;flex-wrap:wrap;gap:0 16px;justify-content:flex-start;min-height:51px;padding:8px 12px;z-index:99}.vm-header_app{padding:8px 0}@media(max-width:1000px){.vm-header{gap:8px;padding:8px;position:-webkit-sticky;position:sticky;top:0}}.vm-header_sidebar{display:grid;grid-template-columns:40px auto 1fr}.vm-header_mobile{display:grid;grid-template-columns:33px 1fr 33px;justify-content:space-between}.vm-header_dark .vm-header-button,.vm-header_dark button,.vm-header_dark button:before{background-color:var(--color-background-block)}.vm-header-logo{align-items:center;cursor:pointer;display:flex;justify-content:flex-start;margin-bottom:2px;overflow:hidden;position:relative;width:100%}.vm-header-logo,.vm-header-logo svg,.vm-header-logo_mobile{max-width:65px;min-width:65px}.vm-header-logo_mobile{margin:0 auto}.vm-header-logo_logs,.vm-header-logo_logs svg{max-width:75px;min-width:75px}.vm-header-nav{align-items:center;display:flex;gap:12px;justify-content:flex-start}.vm-header-nav_column{align-items:stretch;flex-direction:column;gap:8px}.vm-header-nav_column .vm-header-nav-item{padding:12px 0}.vm-header-nav_column .vm-header-nav-item_sub{justify-content:stretch}.vm-header-nav-item{cursor:pointer;font-size:14px;font-weight:400;opacity:1;padding:12px 8px;position:relative;text-transform:capitalize;transition:opacity .2s ease-in}.vm-header-nav-item_sub{grid-gap:4px;align-items:center;cursor:default;display:grid;gap:4px;grid-template-columns:auto 14px;justify-content:center}.vm-header-nav-item:hover{opacity:.7}.vm-header-nav-item_active{border-bottom:2px solid #110f0f33}.vm-header-nav-item svg{transform:rotate(0deg);transition:transform .2s ease-in}.vm-header-nav-item_open svg{transform:rotate(180deg)}.vm-header-nav-item-submenu{border-radius:4px;color:#fff;display:grid;opacity:1;padding:8px;transform-origin:top center;white-space:nowrap}.vm-header-nav-item-submenu-item{cursor:pointer}.vm-popper{background-color:var(--color-background-block);border-radius:4px;box-shadow:var(--box-shadow-popper);opacity:0;pointer-events:none;position:fixed;transition:opacity .1s ease-in-out;z-index:-99}.vm-popper_open{animation:vm-slider .15s cubic-bezier(.28,.84,.42,1.1);opacity:1;pointer-events:auto;transform-origin:top center;z-index:101}.vm-popper_mobile{animation:none;border-radius:0;bottom:0;left:0;overflow:auto;position:fixed;right:0;top:0;width:100%}.vm-popper-header{grid-gap:12px;align-items:center;background-color:var(--color-background-block);border-bottom:var(--border-divider);border-radius:4px 4px 0 0;color:var(--color-text);display:grid;gap:12px;grid-template-columns:1fr 25px;justify-content:space-between;margin-bottom:12px;padding:8px 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12px}.vm-shortcuts{min-width:400px}@media(max-width:500px){.vm-shortcuts{min-width:100%}}.vm-shortcuts-section{border-bottom:var(--border-divider);margin-bottom:12px;padding-bottom:12px;position:relative}.vm-shortcuts-section__title{font-weight:700;margin-bottom:12px}.vm-shortcuts-section__read-more{position:absolute;right:0;top:-8px}.vm-shortcuts-section-list{grid-gap:12px;display:grid;gap:12px}@media(max-width:500px){.vm-shortcuts-section-list{gap:12px}}.vm-shortcuts-section-list-item{grid-gap:8px;align-items:center;display:grid;gap:8px;grid-template-columns:210px 1fr}@media(max-width:500px){.vm-shortcuts-section-list-item{grid-template-columns:1fr}}.vm-shortcuts-section-list-item__key{align-items:center;display:flex;gap:4px}.vm-shortcuts-section-list-item__key code,.vm-shortcuts-section-list-item__key 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    \n

    \n When looking to reduce the number of active series in your data source,\n you can start by inspecting individual metrics with high cardinality\n (i.e. that have lots of active time series associated with them),\n since that single metric contributes a large fraction of the series that make up your total series count.\n

    ",seriesCountByLabelName:"\n

    \n This table returns a list of the labels with the highest number of series.\n

    \n

    \n Use this table to identify labels that are storing dimensions with high cardinality\n (many different label values).\n

    \n

    \n It is recommended to choose labels such that they have a finite set of values,\n since every unique combination of key-value label pairs creates a new time series\n and therefore can dramatically increase the number of time series in your system.\n

    ",seriesCountByFocusLabelValue:"\n

    \n This table returns a list of unique label values per selected label.\n

    \n

    \n Use this table to identify label values that are storing per each selected series.\n

    ",labelValueCountByLabelName:"\n

    \n This table returns a list of labels with the highest number of the unique values.\n

    \n ",seriesCountByLabelValuePair:"\n

    \n This table returns a list of the label values pairs with the highest number of series.\n

    \n

    \n Use this table to identify unique label values pairs. This helps to identify same labels \n is applied to count timeseries in your system, since every unique combination of key-value label pairs \n creates a new time series and therefore can dramatically increase the number of time series in your system\n

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0:n.replace(/[{}"]/g,"");l.seriesCountByLabelValuePair=l.seriesCountByLabelValuePair.filter((e=>e.name!==s)),((e,t)=>{Object.keys(e).forEach((n=>{const r=n,a=e[r],o=t[r];Array.isArray(a)&&Array.isArray(o)&&a.forEach((e=>{var t;const n=null===(t=o.find((t=>t.name===e.name)))||void 0===t?void 0:t.value;e.diff=n?e.value-n:0,e.valuePrev=n||0}))}))})(l,a),v(l),h(!1)}catch(Pp){h(!1),Pp instanceof Error&&p("".concat(Pp.name,": ").concat(Pp.message))}};return(0,r.useEffect)((()=>{b({topN:i,match:n,date:l,focusLabel:a})}),[u,n,a,i,l]),(0,r.useEffect)((()=>{m&&(v(e.defaultTSDBStatus),h(!1))}),[m]),(0,r.useEffect)((()=>{const e=Je(u);y(!!e)}),[u]),e.tsdbStatusData=f,{isLoading:d,appConfigurator:e,error:m,isCluster:g}},ym={seriesCountByMetricName:e=>{let{query:t}=e;return _m("__name__",t)},seriesCountByLabelName:e=>{let{query:t}=e;return"{".concat(t,'!=""}')},seriesCountByFocusLabelValue:e=>{let{query:t,focusLabel:n}=e;return _m(n,t)},seriesCountByLabelValuePair:e=>{let{query:t}=e;const 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Isn't it? :)"})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:"What's wrong with this query? Copy-pasted label filters for distinct timeseries which makes it easy to mistype these filters during modification. Let's simplify the query with WITH expressions:"}),Nt(fp,{code:'WITH (\n commonFilters = {instance=~"$node:$port",job=~"$job"}\n)\n(\n node_memory_MemTotal_bytes{commonFilters}\n -\n node_memory_MemFree_bytes{commonFilters}\n)\n /\nnode_memory_MemTotal_bytes{commonFilters} * 100'})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:["Now label filters are located in a single place instead of three distinct places. The query mentions node_memory_MemTotal_bytes metric twice and ","{commonFilters}"," three times. WITH expressions may improve this:"]}),Nt(fp,{code:'WITH (\n my_resource_utilization(free, limit, filters) = (limit{filters} - free{filters}) / limit{filters} * 100\n)\nmy_resource_utilization(\n node_memory_MemFree_bytes,\n node_memory_MemTotal_bytes,\n {instance=~"$node:$port",job=~"$job"},\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Now the template function my_resource_utilization() may be used for monitoring arbitrary resources - memory, CPU, network, storage, you name it."})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:["Let's take another nice query from ",Nt(gp,{})," dashboard:"]}),Nt(fp,{code:'(\n (\n (\n count(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n )\n )\n -\n avg(\n sum by (mode) (rate(node_cpu_seconds_total{mode=\'idle\',instance=~"$node:$port",job=~"$job"}[5m]))\n )\n )\n *\n 100\n)\n /\ncount(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Do you understand what does this mess do? 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