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[Metrics UI] Fix a bug in Metric Threshold query filter construction (e…
…lastic#70672) Co-authored-by: Elastic Machine <[email protected]> # Conflicts: # x-pack/plugins/infra/server/lib/alerting/metric_threshold/lib/metric_query.ts
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59 changes: 59 additions & 0 deletions
59
x-pack/plugins/infra/server/lib/alerting/metric_threshold/lib/metric_query.test.ts
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/* | ||
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
* or more contributor license agreements. Licensed under the Elastic License; | ||
* you may not use this file except in compliance with the Elastic License. | ||
*/ | ||
import { MetricExpressionParams } from '../types'; | ||
import { getElasticsearchMetricQuery } from './metric_query'; | ||
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describe("The Metric Threshold Alert's getElasticsearchMetricQuery", () => { | ||
const expressionParams = { | ||
metric: 'system.is.a.good.puppy.dog', | ||
aggType: 'avg', | ||
timeUnit: 'm', | ||
timeSize: 1, | ||
} as MetricExpressionParams; | ||
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const timefield = '@timestamp'; | ||
const groupBy = 'host.doggoname'; | ||
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describe('when passed no filterQuery', () => { | ||
const searchBody = getElasticsearchMetricQuery(expressionParams, timefield, groupBy); | ||
test('includes a range filter', () => { | ||
expect( | ||
searchBody.query.bool.filter.find((filter) => filter.hasOwnProperty('range')) | ||
).toBeTruthy(); | ||
}); | ||
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test('includes a metric field filter', () => { | ||
expect(searchBody.query.bool.filter).toMatchObject( | ||
expect.arrayContaining([{ exists: { field: 'system.is.a.good.puppy.dog' } }]) | ||
); | ||
}); | ||
}); | ||
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describe('when passed a filterQuery', () => { | ||
const filterQuery = | ||
// This is adapted from a real-world query that previously broke alerts | ||
// We want to make sure it doesn't override any existing filters | ||
'{"bool":{"filter":[{"bool":{"filter":[{"bool":{"must_not":[{"bool":{"should":[{"query_string":{"query":"bark*","fields":["host.name^1.0"],"type":"best_fields","default_operator":"or","max_determinized_states":10000,"enable_position_increments":true,"fuzziness":"AUTO","fuzzy_prefix_length":0,"fuzzy_max_expansions":50,"phrase_slop":0,"escape":false,"auto_generate_synonyms_phrase_query":true,"fuzzy_transpositions":true,"boost":1}}],"adjust_pure_negative":true,"minimum_should_match":"1","boost":1}}],"adjust_pure_negative":true,"boost":1}},{"bool":{"must_not":[{"bool":{"should":[{"query_string":{"query":"woof*","fields":["host.name^1.0"],"type":"best_fields","default_operator":"or","max_determinized_states":10000,"enable_position_increments":true,"fuzziness":"AUTO","fuzzy_prefix_length":0,"fuzzy_max_expansions":50,"phrase_slop":0,"escape":false,"auto_generate_synonyms_phrase_query":true,"fuzzy_transpositions":true,"boost":1}}],"adjust_pure_negative":true,"minimum_should_match":"1","boost":1}}],"adjust_pure_negative":true,"boost":1}}],"adjust_pure_negative":true,"boost":1}}],"adjust_pure_negative":true,"boost":1}}'; | ||
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const searchBody = getElasticsearchMetricQuery( | ||
expressionParams, | ||
timefield, | ||
groupBy, | ||
filterQuery | ||
); | ||
test('includes a range filter', () => { | ||
expect( | ||
searchBody.query.bool.filter.find((filter) => filter.hasOwnProperty('range')) | ||
).toBeTruthy(); | ||
}); | ||
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test('includes a metric field filter', () => { | ||
expect(searchBody.query.bool.filter).toMatchObject( | ||
expect.arrayContaining([{ exists: { field: 'system.is.a.good.puppy.dog' } }]) | ||
); | ||
}); | ||
}); | ||
}); |
139 changes: 139 additions & 0 deletions
139
x-pack/plugins/infra/server/lib/alerting/metric_threshold/lib/metric_query.ts
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/* | ||
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
* or more contributor license agreements. Licensed under the Elastic License; | ||
* you may not use this file except in compliance with the Elastic License. | ||
*/ | ||
import { networkTraffic } from '../../../../../common/inventory_models/shared/metrics/snapshot/network_traffic'; | ||
import { MetricExpressionParams, Aggregators } from '../types'; | ||
import { getIntervalInSeconds } from '../../../../utils/get_interval_in_seconds'; | ||
import { getDateHistogramOffset } from '../../../snapshot/query_helpers'; | ||
import { createPercentileAggregation } from './create_percentile_aggregation'; | ||
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const MINIMUM_BUCKETS = 5; | ||
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const getParsedFilterQuery: (filterQuery: string | undefined) => Record<string, any> | null = ( | ||
filterQuery | ||
) => { | ||
if (!filterQuery) return null; | ||
return JSON.parse(filterQuery); | ||
}; | ||
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export const getElasticsearchMetricQuery = ( | ||
{ metric, aggType, timeUnit, timeSize }: MetricExpressionParams, | ||
timefield: string, | ||
groupBy?: string | string[], | ||
filterQuery?: string, | ||
timeframe?: { start: number; end: number } | ||
) => { | ||
if (aggType === Aggregators.COUNT && metric) { | ||
throw new Error('Cannot aggregate document count with a metric'); | ||
} | ||
if (aggType !== Aggregators.COUNT && !metric) { | ||
throw new Error('Can only aggregate without a metric if using the document count aggregator'); | ||
} | ||
const interval = `${timeSize}${timeUnit}`; | ||
const intervalAsSeconds = getIntervalInSeconds(interval); | ||
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const to = timeframe ? timeframe.end : Date.now(); | ||
// We need enough data for 5 buckets worth of data. We also need | ||
// to convert the intervalAsSeconds to milliseconds. | ||
const minimumFrom = to - intervalAsSeconds * 1000 * MINIMUM_BUCKETS; | ||
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const from = timeframe && timeframe.start <= minimumFrom ? timeframe.start : minimumFrom; | ||
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const offset = getDateHistogramOffset(from, interval); | ||
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const aggregations = | ||
aggType === Aggregators.COUNT | ||
? {} | ||
: aggType === Aggregators.RATE | ||
? networkTraffic('aggregatedValue', metric) | ||
: aggType === Aggregators.P95 || aggType === Aggregators.P99 | ||
? createPercentileAggregation(aggType, metric) | ||
: { | ||
aggregatedValue: { | ||
[aggType]: { | ||
field: metric, | ||
}, | ||
}, | ||
}; | ||
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const baseAggs = { | ||
aggregatedIntervals: { | ||
date_histogram: { | ||
field: timefield, | ||
fixed_interval: interval, | ||
offset, | ||
extended_bounds: { | ||
min: from, | ||
max: to, | ||
}, | ||
}, | ||
aggregations, | ||
}, | ||
}; | ||
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const aggs = groupBy | ||
? { | ||
groupings: { | ||
composite: { | ||
size: 10, | ||
sources: Array.isArray(groupBy) | ||
? groupBy.map((field, index) => ({ | ||
[`groupBy${index}`]: { | ||
terms: { field }, | ||
}, | ||
})) | ||
: [ | ||
{ | ||
groupBy0: { | ||
terms: { | ||
field: groupBy, | ||
}, | ||
}, | ||
}, | ||
], | ||
}, | ||
aggs: baseAggs, | ||
}, | ||
} | ||
: baseAggs; | ||
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const rangeFilters = [ | ||
{ | ||
range: { | ||
'@timestamp': { | ||
gte: from, | ||
lte: to, | ||
format: 'epoch_millis', | ||
}, | ||
}, | ||
}, | ||
]; | ||
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const metricFieldFilters = metric | ||
? [ | ||
{ | ||
exists: { | ||
field: metric, | ||
}, | ||
}, | ||
] | ||
: []; | ||
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const parsedFilterQuery = getParsedFilterQuery(filterQuery); | ||
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return { | ||
query: { | ||
bool: { | ||
filter: [ | ||
...rangeFilters, | ||
...metricFieldFilters, | ||
...(parsedFilterQuery ? [parsedFilterQuery] : []), | ||
], | ||
}, | ||
}, | ||
size: 0, | ||
aggs, | ||
}; | ||
}; |