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Merge branch 'main' into eui/v114.0.0
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‎.github/CODEOWNERS‎

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@@ -1140,6 +1140,7 @@ x-pack/platform/plugins/shared/global_search @elastic/appex-sharedux
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x-pack/platform/plugins/shared/index_management @elastic/kibana-management
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x-pack/platform/plugins/shared/inference @elastic/search-kibana
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x-pack/platform/plugins/shared/inference_endpoint @elastic/search-kibana
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x-pack/platform/plugins/shared/ingest_hub @elastic/obs-onboarding-team
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x-pack/platform/plugins/shared/ingest_pipelines @elastic/kibana-management
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x-pack/platform/plugins/shared/lens @elastic/kibana-visualizations
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x-pack/platform/plugins/shared/license_management @elastic/kibana-management

‎docs/extend/plugin-list.md‎

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@@ -175,6 +175,7 @@ mapped_pages:
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| [inference](https://github.com/elastic/kibana/blob/main/x-pack/platform/plugins/shared/inference/README.md) | The inference plugin is a central place to handle all interactions with the Elasticsearch Inference API and external LLM APIs. Its goals are: |
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| [inferenceEndpoint](https://github.com/elastic/kibana/blob/main/x-pack/platform/plugins/shared/inference_endpoint/README.md) | A Kibana plugin |
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| [infra](https://github.com/elastic/kibana/blob/main/x-pack/solutions/observability/plugins/infra/README.md) | This is the home of the infra plugin, which aims to provide a solution for the infrastructure monitoring use-case within Kibana. |
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| [ingestHub](https://github.com/elastic/kibana/blob/main/x-pack/platform/plugins/shared/ingest_hub/README.md) | Cross-solution onboarding page for adding data sources and integrations. Gated behind the ingestHub.enabled feature flag. |
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| [ingestPipelines](https://github.com/elastic/kibana/blob/main/x-pack/platform/plugins/shared/ingest_pipelines/README.md) | The ingest_pipelines plugin provides Kibana support for Elasticsearch's ingest pipelines. |
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| [intercepts](https://github.com/elastic/kibana/blob/main/x-pack/platform/plugins/private/intercepts/README.md) | Contains business logic and orchestration for displaying the intercept dialog suited to the needs of Kibana, and is made available so that other solution teams might leverage this to register and schedule an intercept of their choosing |
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| [kubernetesSecurity](https://github.com/elastic/kibana/blob/main/x-pack/solutions/security/plugins/kubernetes_security/README.md) | This plugin provides interactive visualizations of your Kubernetes workload and session data. |

‎package.json‎

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@@ -734,6 +734,7 @@
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"@kbn/inference-tracing-config": "link:x-pack/platform/packages/shared/kbn-inference-tracing-config",
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"@kbn/infra-forge": "link:x-pack/platform/packages/private/kbn-infra-forge",
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"@kbn/infra-plugin": "link:x-pack/solutions/observability/plugins/infra",
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"@kbn/ingest-hub-plugin": "link:x-pack/platform/plugins/shared/ingest_hub",
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"@kbn/ingest-pipelines-plugin": "link:x-pack/platform/plugins/shared/ingest_pipelines",
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"@kbn/ingest-pipelines-shared": "link:x-pack/platform/packages/shared/ingest-pipelines",
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"@kbn/input-control-vis-plugin": "link:src/platform/plugins/private/input_control_vis",

‎packages/kbn-optimizer/limits.yml‎

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@@ -91,6 +91,7 @@ pageLoadAssetSize:
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indexManagement: 39694
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inference: 10368
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infra: 56302
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ingestHub: 6112
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ingestPipelines: 17866
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inputControlVis: 7660
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inspectComponent: 4590
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observabilityAIAssistantApp: 17100
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observabilityAiAssistantManagement: 7126
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observabilityLogsExplorer: 4918
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observabilityOnboarding: 12872
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observabilityOnboarding: 14161
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observabilityShared: 75115
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osquery: 47422
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painlessLab: 6299

‎src/platform/packages/private/kbn-language-documentation/src/sections/generated/scalar_functions.tsx‎

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@@ -2587,6 +2587,33 @@ export const functions = {
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},
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},
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// Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
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{
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label: i18n.translate('languageDocumentation.documentationESQL.st_buffer', {
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defaultMessage: 'ST_BUFFER',
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}),
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preview: true,
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license: undefined,
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description: {
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markdownContent: i18n.translate(
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'languageDocumentation.documentationESQL.st_buffer.markdown',
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{
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defaultMessage: `
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### ST BUFFER
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Computes a buffer area around the input geometry at the specified distance. The distance is in the units of the input spatial reference system. Positive distances expand the geometry, negative distances shrink it. Points and lines become polygons when buffered.
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\`\`\`esql
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ROW wkt = "POLYGON ((0 0, 4 0, 4 4, 0 4, 0 0))"
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| EVAL buffered = ST_BUFFER(TO_GEOSHAPE(wkt), -1)
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\`\`\`
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`,
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description:
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'Text is in markdown. Do not translate function names, special characters, or field names like sum(bytes)',
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ignoreTag: true,
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}
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),
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},
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},
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// Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
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{
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label: i18n.translate('languageDocumentation.documentationESQL.st_contains', {
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defaultMessage: 'ST_CONTAINS',
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ROW wkt = "POLYGON ((7.998 53.827, 9.470 53.068, 15.754 53.801, 16.523 57.160, 11.162 57.868, 8.064 57.445, 6.219 55.317, 7.998 53.827))"
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| EVAL simplified = ST_SIMPLIFY(TO_GEOSHAPE(wkt), 0.7)
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\`\`\`
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`,
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description:
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'Text is in markdown. Do not translate function names, special characters, or field names like sum(bytes)',
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ignoreTag: true,
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}
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),
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},
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},
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// Do not edit manually... automatically generated by scripts/generate_esql_docs.ts
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{
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label: i18n.translate('languageDocumentation.documentationESQL.st_simplifypreservetopology', {
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defaultMessage: 'ST_SIMPLIFYPRESERVETOPOLOGY',
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}),
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preview: true,
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license: undefined,
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description: {
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markdownContent: i18n.translate(
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'languageDocumentation.documentationESQL.st_simplifypreservetopology.markdown',
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{
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defaultMessage: `
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### ST SIMPLIFYPRESERVETOPOLOGY
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Simplifies the input geometry by applying a topology-preserving variant of the Douglas-Peucker algorithm with a specified tolerance. Vertices that fall within the tolerance distance from the simplified shape are removed. Unlike \`ST_SIMPLIFY\`, the resulting geometry is guaranteed to be topologically valid.
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\`\`\`esql
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ROW wkt = "POLYGON ((7.998 53.827, 9.470 53.068, 15.754 53.801, 16.523 57.160, 11.162 57.868, 8.064 57.445, 6.219 55.317, 7.998 53.827))"
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| EVAL simplified = ST_SIMPLIFYPRESERVETOPOLOGY(TO_GEOSHAPE(wkt), 0.7)
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\`\`\`
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`,
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description:
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'Text is in markdown. Do not translate function names, special characters, or field names like sum(bytes)',

‎src/platform/packages/shared/deeplinks/observability/constants.ts‎

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@@ -37,3 +37,5 @@ export const OBLT_PROFILING_APP_ID = 'profiling';
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export const INVENTORY_APP_ID = 'inventory';
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export const STREAMS_APP_ID = 'streams';
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export const INGEST_HUB_APP_ID = 'ingestHub';

‎src/platform/packages/shared/deeplinks/observability/deep_links.ts‎

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@@ -23,6 +23,7 @@ import type {
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OBLT_PROFILING_APP_ID,
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STREAMS_APP_ID,
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INGEST_HUB_APP_ID,
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} from './constants';
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type LogsApp = typeof LOGS_APP_ID;
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type ObltProfilingApp = typeof OBLT_PROFILING_APP_ID;
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type InventoryApp = typeof INVENTORY_APP_ID;
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type StreamsApp = typeof STREAMS_APP_ID;
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type IngestHubApp = typeof INGEST_HUB_APP_ID;
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export type AppId =
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| LogsApp
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| ObltUxApp
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| ObltProfilingApp
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| InventoryApp
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| StreamsApp;
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| StreamsApp
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| IngestHubApp;
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export type LogsLinkId = 'log-categories' | 'settings' | 'anomalies' | 'stream';
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‎src/platform/packages/shared/deeplinks/observability/index.ts‎

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AI_ASSISTANT_APP_ID,
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OBLT_UX_APP_ID,
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OBLT_PROFILING_APP_ID,
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INGEST_HUB_APP_ID,
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} from './constants';
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export type { AppId, DeepLinkId } from './deep_links';
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export * from './locators';

‎src/platform/packages/shared/kbn-esql-language/src/commands/definitions/generated/aggregation_functions.ts‎

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@@ -3987,6 +3987,136 @@ const sampleDefinition: FunctionDefinition = {
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examples: ['FROM employees\n| STATS sample = SAMPLE(gender, 5)'],
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};
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// Do not edit this manually... generated by scripts/generate_function_definitions.ts
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const sparklineDefinition: FunctionDefinition = {
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type: FunctionDefinitionTypes.AGG,
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name: EsqlFunctionNames.SPARKLINE,
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description: i18n.translate('kbn-esql-language.esql.definitions.sparkline', {
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defaultMessage:
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'The values representing the y-axis values of a sparkline graph for a given aggregation over a period of time.',
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}),
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ignoreAsSuggestion: true,
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preview: true,
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alias: undefined,
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signatures: [
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{
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params: [
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{
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name: 'field',
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type: 'double',
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optional: false,
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description:
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'Expression that calculates the y-axis value of the sparkline graph for each datapoint.',
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},
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{
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name: 'key',
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type: 'date',
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optional: false,
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description: 'Date expression from which to derive buckets.',
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},
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{
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name: 'buckets',
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type: 'integer',
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optional: false,
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description:
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'Target number of buckets, or desired bucket size if `from` and `to` parameters are omitted.',
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},
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{
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name: 'from',
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type: 'text',
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optional: false,
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description: 'Start of the range. Can be a date or a date expressed as a string.',
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},
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{
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name: 'to',
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type: 'text',
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optional: false,
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description: 'End of the range. Can be a date or a date expressed as a string.',
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},
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],
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returnType: 'double',
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},
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{
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params: [
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{
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name: 'field',
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type: 'integer',
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optional: false,
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description:
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'Expression that calculates the y-axis value of the sparkline graph for each datapoint.',
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},
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{
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name: 'key',
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type: 'date',
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optional: false,
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description: 'Date expression from which to derive buckets.',
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},
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{
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name: 'buckets',
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type: 'integer',
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optional: false,
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description:
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'Target number of buckets, or desired bucket size if `from` and `to` parameters are omitted.',
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},
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{
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name: 'from',
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type: 'date',
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optional: false,
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description: 'Start of the range. Can be a date or a date expressed as a string.',
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},
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{
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name: 'to',
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type: 'date',
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optional: false,
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description: 'End of the range. Can be a date or a date expressed as a string.',
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},
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],
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returnType: 'integer',
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},
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{
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params: [
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{
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name: 'field',
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type: 'long',
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optional: false,
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description:
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'Expression that calculates the y-axis value of the sparkline graph for each datapoint.',
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},
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{
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name: 'key',
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type: 'date',
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optional: false,
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description: 'Date expression from which to derive buckets.',
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},
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{
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name: 'buckets',
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type: 'integer',
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optional: false,
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description:
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'Target number of buckets, or desired bucket size if `from` and `to` parameters are omitted.',
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},
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{
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name: 'from',
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type: 'keyword',
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optional: false,
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description: 'Start of the range. Can be a date or a date expressed as a string.',
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},
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{
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name: 'to',
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type: 'keyword',
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optional: false,
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description: 'End of the range. Can be a date or a date expressed as a string.',
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},
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],
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returnType: 'long',
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},
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],
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locationsAvailable: [Location.STATS],
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examples: [
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'FROM employees\n| STATS sparkline = SPARKLINE(COUNT(*), hire_date, 20, "1985-01-01T00:00:00Z", "1985-12-31T00:00:00Z")',
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],
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};
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// Do not edit this manually... generated by scripts/generate_function_definitions.ts
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const stCentroidAggDefinition: FunctionDefinition = {
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type: FunctionDefinitionTypes.AGG,
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percentileDefinition,
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presentDefinition,
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sampleDefinition,
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sparklineDefinition,
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stCentroidAggDefinition,
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stExtentAggDefinition,
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stdDevDefinition,

‎src/platform/packages/shared/kbn-esql-language/src/commands/definitions/generated/commands/commands.ts‎

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@@ -112,6 +112,10 @@ export const commandsMetadata: Record<string, unknown> = {
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type: 'command',
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name: 'uri_parts',
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},
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user_agent: {
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type: 'command',
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name: 'user_agent',
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},
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where: {
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type: 'command',
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name: 'where',
@@ -144,5 +148,6 @@ export enum EsqlCommandNames {
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STATS = 'stats',
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TS_INFO = 'ts_info',
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URI_PARTS = 'uri_parts',
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USER_AGENT = 'user_agent',
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WHERE = 'where',
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}

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