Widget Série temporelle

La visualisation de séries temporelles vous permet de consulter l’évolution de plusieurs métriques, événements de log ou spans indexées. La période affichée dépend des éléments sélectionnés sur le timeboard ou le screenboard :

Un widget Série temporelle affichant la métrique moyenne system.cpu.user pour un host

Configuration

Configuration

Configuration d'une série temporelle

  1. Choisissez les données à représenter :

  2. Personnalisez votre graphique avec les options disponibles.

Options d’affichage

Vous pouvez créer des graphiques en aires, à barres ou linéaires. Les graphiques linéaires contiennent des paramètres supplémentaires :

ParamètreOptions
StyleSolid, Dashed ou Dotted
StrokeNormal, Thin ou Thick

Couleur

Pour tous les types de graphiques, Datadog propose de nombreuses options en matière de couleurs pour différencier les diverses métriques affichées sur un même graphique :

PaletteDescription
ClassicDes couleurs simples : bleu clair, bleu foncé, violet clair, violet, jaune clair et jaune (les couleurs se répètent).
CategoricalAvec ce jeu de 16 couleurs, une palette cohérente est appliquée à chaque série de données sur l’ensemble des widgets Série temporelle.
PurpleUn dégradé de couleurs composé de tons violets.
CoolUn dégradé de couleurs composé de tons bleus et verts.
WarmUn dégradé de couleurs composé de tons jaunes et orange.
OrangeUn dégradé de couleurs composé de tons orange.
GrayUn dégradé de couleurs composé de tons gris.
RedUn dégradé de couleurs composé de tons rouges.
GreenUn dégradé de couleurs composé de tons verts.
BlueUn dégradé de couleurs composé de tons bleus.

Pour les graphiques linéaires, vous pouvez attribuer des palettes à différentes métriques en séparant les requêtes avec le format JSON.

Alias de métrique

Chaque requête, formule ou tag de filtrage peut avoir un alias. L’alias remplace le nom sur le graphique et la légende, ce qui est utile pour les longs noms de métrique ou les longues listes de filtres. À la fin de votre requête ou formule, cliquez sur as…, puis saisissez votre alias de métrique :

Ajout d'un alias à une requête de recherche dans l'éditeur du widget Série temporelle

Superposition d’événements

Vous pouvez ajouter des événements provenant de systèmes associés afin d’enrichir le contexte de votre graphique, par exemple des commits GitHub, des déploiements Jenkins et des événements de création Docker. Cliquez sur Add Event Overlay dans la section Event Overlays et saisissez une requête pour afficher ces événements.

Utilisez le même format de requête que pour l’Event Explorer, par exemple :

RequêteDescription
sources:jenkinsAffiche tous les événements provenant de la source Jenkins.
tag:role:webAffiche tous les événements avec le tag role:web.
tags:$<TEMPLATE_VARIABLE>Affiche tous les événements provenant de la template variable sélectionnée.

Une fois activés, les événements s’affichent en superposition sur vos graphiques avec des barres rouges :

Barre de superposition d'événements sur un graphique de série temporelle

Marqueurs

Pour ajouter des marqueurs pour des ensembles de données supplémentaires, cliquez sur Add Marker dans la section Markers.

  1. Sélectionnez une ligne ou un intervalle et renseignez une valeur ou un intervalle de valeurs.
  2. Dans le champ Show as, sélectionnez un statut d’alerte ou une couleur et choisissez un type de ligne horizontale (uni, gras ou pointillé).
  3. Pour ajouter une étiquette en bas à gauche du widget Série temporelle, définissez une valeur pour l’axe des ordonnées et cochez la case Label.

Commandes de l’axe des ordonnées

Les commandes de l’axe des ordonnées sont disponibles dans l’interface et dans l’éditeur JSON. Vous pouvez définir la valeur et le type de l’axe des ordonnées afin de réaliser ce qui suit :

  • Régler l’axe des ordonnées sur un intervalle donné
  • Modifier automatiquement les limites de l’axe des ordonnées en fonction d’un seuil basé sur un pourcentage ou sur une valeur absolue ; pour supprimer les singularités, ce seuil peut être appliqué aux deux extrémités du graphique (limite inférieure et limite supérieure), ou à une seule d’entre elles
  • Changer l’échelle de l’axe des ordonnées afin de passer d’une échelle linéaire à une échelle logarithmique, racine carrée ou puissance

Les options de configuration suivantes sont disponibles :

OptionObligatoireDescription
MinNonSpécifie la valeur minimale à afficher sur l’axe des ordonnées. Indiquez un nombre ou Auto (la valeur par défaut).
MaxNonSpécifie la valeur maximale à afficher sur l’axe des ordonnées. Indiquez un nombre ou Auto (la valeur par défaut).
ScaleNonSpécifie le type d’échelle. Valeurs autorisées :
- linear : une échelle linéaire (valeur par défaut).
- log : une échelle logarithmique.
- pow : une échelle basée sur une puissance de 2. La valeur par défaut est 2, mais celle-ci peut être modifiée dans l’éditeur JSON.
- sqrt : une échelle basée sur la racine carrée.
Always include zeroNonIndique s’il faut toujours inclure le zéro ou ajuster l’axe des ordonnées à la plage de données. Par défaut, le zéro est toujours inclus.

Comme la fonction log mathématique n’accepte pas les valeurs négatives, l’échelle log Datadog ne fonctionne que si les valeurs ont le même signe (toutes les valeurs positives ou toutes négatives). Si ce n’est pas le cas, un graphique vide s’affiche.

Configuration de légendes

Vous pouvez ajouter des légendes configurables à vos screenboards en sélectionnant l’une des options suivantes dans la section Legend :

  • Automatic (par défaut)
  • Compact
  • Expanded : colonnes configurables pour value, avg, sum, min et max
  • Aucune

Pour les timeboards, les légendes s’affichent automatiquement lorsque le format du dashboard est défini sur L ou XL.

Liens de contexte

Pour ajouter un lien de contexte dans le menu déroulant qui s’affiche lorsque vous cliquez sur un widget de dashboard, cliquez sur Add a Context Link dans la section Context Links.

Pour en savoir plus sur la modification et la suppression de liens de contexte, consultez la section Liens de contexte.

Plein écran

Outre les options de plein écran standard, vous pouvez appliquer des fonctions rapides, effectuer des comparaisons par rapport à des périodes précédentes, régler l’échelle de l’axe des ordonnées, enregistrer des modifications ou enregistrer un nouveau graphique.

Pour en savoir plus, consultez l’article Explorer des données sous la forme d’un graphique en plein écran (en anglais).

API

Ce widget peut être utilisé avec l’API Dashboards. Consultez la documentation à ce sujet pour en savoir plus.

Le schéma JSON utilisé pour le widget Série temporelle est le suivant :

Expand All

Champ

Type

Description

custom_links

[object]

List of custom links.

is_hidden

boolean

The flag for toggling context menu link visibility.

label

string

The label for the custom link URL. Keep the label short and descriptive. Use metrics and tags as variables.

link

string

The URL of the custom link. URL must include http or https. A relative URL must start with /.

override_label

string

The label ID that refers to a context menu link. Can be logs, hosts, traces, profiles, processes, containers, or rum.

events

[object]

List of widget events.

q [required]

string

Query definition.

tags_execution

string

The execution method for multi-value filters.

legend_columns

[string]

Columns displayed in the legend.

legend_layout

enum

Layout of the legend. Allowed enum values: auto,horizontal,vertical

legend_size

string

Available legend sizes for a widget. Should be one of "0", "2", "4", "8", "16", or "auto".

markers

[object]

List of markers.

display_type

string

Combination of:

  • A severity error, warning, ok, or info
  • A line type: dashed, solid, or bold In this case of a Distribution widget, this can be set to be x_axis_percentile.

label

string

Label to display over the marker.

time

string

Timestamp for the widget.

value [required]

string

Value to apply. Can be a single value y = 15 or a range of values 0 < y < 10.

requests [required]

[object]

List of timeseries widget requests.

apm_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

audit_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

display_type

enum

Type of display to use for the request. Allowed enum values: area,bars,line,overlay

event_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

formulas

[object]

List of formulas that operate on queries.

alias

string

Expression alias.

cell_display_mode

enum

Define a display mode for the table cell. Allowed enum values: number,bar

conditional_formats

[object]

List of conditional formats.

comparator [required]

enum

Comparator to apply. Allowed enum values: =,>,>=,<,<=

custom_bg_color

string

Color palette to apply to the background, same values available as palette.

custom_fg_color

string

Color palette to apply to the foreground, same values available as palette.

hide_value

boolean

True hides values.

image_url

string

Displays an image as the background.

metric

string

Metric from the request to correlate this conditional format with.

palette [required]

enum

Color palette to apply. Allowed enum values: blue,custom_bg,custom_image,custom_text,gray_on_white,grey,green,orange,red,red_on_white,white_on_gray,white_on_green,green_on_white,white_on_red,white_on_yellow,yellow_on_white,black_on_light_yellow,black_on_light_green,black_on_light_red

timeframe

string

Defines the displayed timeframe.

value [required]

double

Value for the comparator.

formula [required]

string

String expression built from queries, formulas, and functions.

limit

object

Options for limiting results returned.

count

int64

Number of results to return.

order

enum

Direction of sort. Allowed enum values: asc,desc

default: desc

style

object

Styling options for widget formulas.

palette

string

The color palette used to display the formula. A guide to the available color palettes can be found at https://docs.datadoghq.com/dashboards/guide/widget_colors

palette_index

int64

Index specifying which color to use within the palette.

log_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

metadata

[object]

Used to define expression aliases.

alias_name

string

Expression alias.

expression [required]

string

Expression name.

network_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

on_right_yaxis

boolean

Whether or not to display a second y-axis on the right.

process_query

object

The process query to use in the widget.

filter_by

[string]

List of processes.

limit

int64

Max number of items in the filter list.

metric [required]

string

Your chosen metric.

search_by

string

Your chosen search term.

profile_metrics_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

q

string

Widget query.

queries

[ <oneOf>]

List of queries that can be returned directly or used in formulas.

Option 1

object

A formula and functions metrics query.

aggregator

enum

The aggregation methods available for metrics queries. Allowed enum values: avg,min,max,sum,last,area,l2norm,percentile

data_source [required]

enum

Data source for metrics queries. Allowed enum values: metrics

name [required]

string

Name of the query for use in formulas.

query [required]

string

Metrics query definition.

Option 2

object

A formula and functions events query.

compute [required]

object

Compute options.

aggregation [required]

enum

Aggregation methods for event platform queries. Allowed enum values: count,cardinality,median,pc75,pc90,pc95,pc98,pc99,sum,min,max,avg

interval

int64

A time interval in milliseconds.

metric

string

Measurable attribute to compute.

data_source [required]

enum

Data source for event platform-based queries. Allowed enum values: logs,spans,network,rum,security_signals,profiles,audit,events,ci_tests,ci_pipelines

group_by

[object]

Group by options.

facet [required]

string

Event facet.

limit

int64

Number of groups to return.

sort

object

Options for sorting group by results.

aggregation [required]

enum

Aggregation methods for event platform queries. Allowed enum values: count,cardinality,median,pc75,pc90,pc95,pc98,pc99,sum,min,max,avg

metric

string

Metric used for sorting group by results.

order

enum

Direction of sort. Allowed enum values: asc,desc

default: desc

indexes

[string]

An array of index names to query in the stream. Omit or use [] to query all indexes at once.

name [required]

string

Name of the query for use in formulas.

search

object

Search options.

query [required]

string

Events search string.

storage

string

Option for storage location. Feature in Private Beta.

Option 3

object

Process query using formulas and functions.

aggregator

enum

The aggregation methods available for metrics queries. Allowed enum values: avg,min,max,sum,last,area,l2norm,percentile

data_source [required]

enum

Data sources that rely on the process backend. Allowed enum values: process,container

is_normalized_cpu

boolean

Whether to normalize the CPU percentages.

limit

int64

Number of hits to return.

metric [required]

string

Process metric name.

name [required]

string

Name of query for use in formulas.

sort

enum

Direction of sort. Allowed enum values: asc,desc

default: desc

tag_filters

[string]

An array of tags to filter by.

text_filter

string

Text to use as filter.

Option 4

object

A formula and functions APM dependency stats query.

data_source [required]

enum

Data source for APM dependency stats queries. Allowed enum values: apm_dependency_stats

env [required]

string

APM environment.

is_upstream

boolean

Determines whether stats for upstream or downstream dependencies should be queried.

name [required]

string

Name of query to use in formulas.

operation_name [required]

string

Name of operation on service.

primary_tag_name

string

The name of the second primary tag used within APM; required when primary_tag_value is specified. See https://docs.datadoghq.com/tracing/guide/setting_primary_tags_to_scope/#add-a-second-primary-tag-in-datadog.

primary_tag_value

string

Filter APM data by the second primary tag. primary_tag_name must also be specified.

resource_name [required]

string

APM resource.

service [required]

string

APM service.

stat [required]

enum

APM statistic. Allowed enum values: avg_duration,avg_root_duration,avg_spans_per_trace,error_rate,pct_exec_time,pct_of_traces,total_traces_count

Option 5

object

APM resource stats query using formulas and functions.

data_source [required]

enum

Data source for APM resource stats queries. Allowed enum values: apm_resource_stats

env [required]

string

APM environment.

group_by

[string]

Array of fields to group results by.

name [required]

string

Name of this query to use in formulas.

operation_name

string

Name of operation on service.

primary_tag_name

string

Name of the second primary tag used within APM. Required when primary_tag_value is specified. See https://docs.datadoghq.com/tracing/guide/setting_primary_tags_to_scope/#add-a-second-primary-tag-in-datadog

primary_tag_value

string

Value of the second primary tag by which to filter APM data. primary_tag_name must also be specified.

resource_name

string

APM resource name.

service [required]

string

APM service name.

stat [required]

enum

APM resource stat name. Allowed enum values: errors,error_rate,hits,latency_avg,latency_distribution,latency_max,latency_p50,latency_p75,latency_p90,latency_p95,latency_p99

Option 6

object

A formula and functions metrics query.

additional_query_filters

string

Additional filters applied to the SLO query.

data_source [required]

enum

Data source for SLO measures queries. Allowed enum values: slo

group_mode

enum

Group mode to query measures. Allowed enum values: overall,components

measure [required]

enum

SLO measures queries. Allowed enum values: good_events,bad_events,slo_status,error_budget_remaining,burn_rate,error_budget_burndown

name

string

Name of the query for use in formulas.

slo_id [required]

string

ID of an SLO to query measures.

slo_query_type

enum

Name of the query for use in formulas. Allowed enum values: metric

Option 7

object

A formula and functions Cloud Cost query.

aggregator

enum

Aggregator used for the request. Allowed enum values: avg,last,max,min,sum,percentile

data_source [required]

enum

Data source for Cloud Cost queries. Allowed enum values: cloud_cost

name [required]

string

Name of the query for use in formulas.

query [required]

string

Query for Cloud Cost data.

response_format

enum

Timeseries, scalar, or event list response. Event list response formats are supported by Geomap widgets. Allowed enum values: timeseries,scalar,event_list

rum_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

security_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

style

object

Define request widget style.

line_type

enum

Type of lines displayed. Allowed enum values: dashed,dotted,solid

line_width

enum

Width of line displayed. Allowed enum values: normal,thick,thin

palette

string

Color palette to apply to the widget.

right_yaxis

object

Axis controls for the widget.

include_zero

boolean

Set to true to include zero.

label

string

The label of the axis to display on the graph. Only usable on Scatterplot Widgets.

max

string

Specifies maximum numeric value to show on the axis. Defaults to auto.

default: auto

min

string

Specifies minimum numeric value to show on the axis. Defaults to auto.

default: auto

scale

string

Specifies the scale type. Possible values are linear, log, sqrt, and pow## (for example pow2 or pow0.5).

default: linear

show_legend

boolean

(screenboard only) Show the legend for this widget.

time

object

Time setting for the widget.

live_span

enum

The available timeframes depend on the widget you are using. Allowed enum values: 1m,5m,10m,15m,30m,1h,4h,1d,2d,1w,1mo,3mo,6mo,week_to_date,month_to_date,1y,alert

title

string

Title of your widget.

title_align

enum

How to align the text on the widget. Allowed enum values: center,left,right

title_size

string

Size of the title.

type [required]

enum

Type of the timeseries widget. Allowed enum values: timeseries

default: timeseries

yaxis

object

Axis controls for the widget.

include_zero

boolean

Set to true to include zero.

label

string

The label of the axis to display on the graph. Only usable on Scatterplot Widgets.

max

string

Specifies maximum numeric value to show on the axis. Defaults to auto.

default: auto

min

string

Specifies minimum numeric value to show on the axis. Defaults to auto.

default: auto

scale

string

Specifies the scale type. Possible values are linear, log, sqrt, and pow## (for example pow2 or pow0.5).

default: linear

{
  "custom_links": [
    {
      "is_hidden": false,
      "label": "Search logs for {{host}}",
      "link": "https://app.datadoghq.com/logs?query={{host}}",
      "override_label": "logs"
    }
  ],
  "events": [
    {
      "q": "",
      "tags_execution": "string"
    }
  ],
  "legend_columns": [],
  "legend_layout": "string",
  "legend_size": "string",
  "markers": [
    {
      "display_type": "error dashed",
      "label": "Error threshold",
      "time": "string",
      "value": "y = 15"
    }
  ],
  "requests": [
    {
      "apm_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "audit_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "display_type": "string",
      "event_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "formulas": [
        {
          "alias": "string",
          "cell_display_mode": "number",
          "conditional_formats": [
            {
              "comparator": ">",
              "custom_bg_color": "string",
              "custom_fg_color": "string",
              "hide_value": false,
              "image_url": "string",
              "metric": "string",
              "palette": "blue",
              "timeframe": "string",
              "value": 0
            }
          ],
          "formula": "func(a) + b",
          "limit": {
            "count": "integer",
            "order": "string"
          },
          "style": {
            "palette": "classic",
            "palette_index": 1
          }
        }
      ],
      "log_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "metadata": [
        {
          "alias_name": "string",
          "expression": ""
        }
      ],
      "network_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "on_right_yaxis": false,
      "process_query": {
        "filter_by": [],
        "limit": "integer",
        "metric": "system.load.1",
        "search_by": "string"
      },
      "profile_metrics_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "q": "string",
      "queries": [],
      "response_format": "timeseries",
      "rum_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "security_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "style": {
        "line_type": "string",
        "line_width": "string",
        "palette": "string"
      }
    }
  ],
  "right_yaxis": {
    "include_zero": false,
    "label": "string",
    "max": "string",
    "min": "string",
    "scale": "string"
  },
  "show_legend": false,
  "time": {
    "live_span": "5m"
  },
  "title": "string",
  "title_align": "string",
  "title_size": "string",
  "type": "timeseries",
  "yaxis": {
    "include_zero": false,
    "label": "string",
    "max": "string",
    "min": "string",
    "scale": "string"
  }
}

Pour aller plus loin

Documentation, liens et articles supplémentaires utiles:

Explorer les données sous la forme d'un graphique en plein écranGITHUB more more Créer des dashboards avec JSONDOCUMENTATION more more