import {Location, Query} from 'history'; import pick from 'lodash/pick'; import {DEFAULT_RELATIVE_PERIODS} from 'sentry/constants'; import {t} from 'sentry/locale'; import {defined} from 'sentry/utils'; import EventView from 'sentry/utils/discover/eventView'; import {isAggregateField} from 'sentry/utils/discover/fields'; import {SpanSlug} from 'sentry/utils/performance/suspectSpans/types'; import {decodeScalar} from 'sentry/utils/queryString'; import {MutableSearch} from 'sentry/utils/tokenizeSearch'; import {SpanSort, SpanSortOption, SpanSortOthers, SpanSortPercentiles} from './types'; export function generateSpansRoute({orgSlug}: {orgSlug: string}): string { return `/organizations/${orgSlug}/performance/summary/spans/`; } export function spansRouteWithQuery({ orgSlug, transaction, projectID, query, }: { orgSlug: string; query: Query; transaction: string; projectID?: string | string[]; }) { const pathname = generateSpansRoute({ orgSlug, }); return { pathname, query: { transaction, project: projectID, environment: query.environment, statsPeriod: query.statsPeriod, start: query.start, end: query.end, query: query.query, }, }; } export const SPAN_RETENTION_DAYS = 30; export const SPAN_RELATIVE_PERIODS = pick(DEFAULT_RELATIVE_PERIODS, [ '1h', '24h', '7d', '14d', '30d', ]); export const SPAN_SORT_OPTIONS: SpanSortOption[] = [ { prefix: t('Sort By'), label: t('Total Self Time'), field: SpanSortOthers.SUM_EXCLUSIVE_TIME, }, { prefix: t('Sort By'), label: t('Average Count'), field: SpanSortOthers.AVG_OCCURRENCE, }, { prefix: t('Sort By'), label: t('p50 Self Time'), field: SpanSortPercentiles.P50_EXCLUSIVE_TIME, }, { prefix: t('Sort By'), label: t('p75 Self Time'), field: SpanSortPercentiles.P75_EXCLUSIVE_TIME, }, { prefix: t('Sort By'), label: t('p95 Self Time'), field: SpanSortPercentiles.P95_EXCLUSIVE_TIME, }, { prefix: t('Sort By'), label: t('p99 Self Time'), field: SpanSortPercentiles.P99_EXCLUSIVE_TIME, }, ]; const DEFAULT_SORT = SpanSortOthers.SUM_EXCLUSIVE_TIME; function getSuspectSpanSort(sort: string): SpanSortOption { const selected = SPAN_SORT_OPTIONS.find(option => option.field === sort); if (selected) { return selected; } return SPAN_SORT_OPTIONS.find(option => option.field === DEFAULT_SORT)!; } export function getSuspectSpanSortFromLocation( location: Location, sortKey: string = 'sort' ): SpanSortOption { const sort = decodeScalar(location?.query?.[sortKey]) ?? DEFAULT_SORT; return getSuspectSpanSort(sort); } export function getSuspectSpanSortFromEventView(eventView: EventView): SpanSortOption { const sort = eventView.sorts.length ? eventView.sorts[0].field : DEFAULT_SORT; return getSuspectSpanSort(sort); } export function parseSpanSlug(spanSlug: string | undefined): SpanSlug | undefined { if (!defined(spanSlug)) { return undefined; } const delimiterPos = spanSlug.lastIndexOf(':'); if (delimiterPos < 0) { return undefined; } const op = spanSlug.slice(0, delimiterPos); const group = spanSlug.slice(delimiterPos + 1); return {op, group}; } export function generateSpansEventView({ location, transactionName, }: { location: Location; transactionName: string; }): EventView { const query = decodeScalar(location.query.query, ''); const conditions = new MutableSearch(query); conditions.setFilterValues('event.type', ['transaction']); conditions.setFilterValues('transaction', [transactionName]); Object.keys(conditions.filters).forEach(field => { if (isAggregateField(field)) { conditions.removeFilter(field); } }); const eventView = EventView.fromNewQueryWithLocation( { id: undefined, version: 2, name: transactionName, fields: [...Object.values(SpanSortOthers), ...Object.values(SpanSortPercentiles)], query: conditions.formatString(), projects: [], }, location ); const sort = getSuspectSpanSortFromLocation(location); return eventView.withSorts([{field: sort.field, kind: 'desc'}]); } /** * For the totals view, we want to get some transaction level stats like * the number of transactions and the sum of the transaction duration. * This requires the removal of any aggregate conditions as they can result * in unexpected empty responses. */ export function getTotalsView(eventView: EventView): EventView { const totalsView = eventView.withColumns([ {kind: 'function', function: ['count', '', undefined, undefined]}, {kind: 'function', function: ['sum', 'transaction.duration', undefined, undefined]}, ]); const conditions = new MutableSearch(eventView.query); // filter out any aggregate conditions Object.keys(conditions.filters).forEach(field => { if (isAggregateField(field)) { conditions.removeFilter(field); } }); totalsView.query = conditions.formatString(); return totalsView; } export const SPAN_SORT_TO_FIELDS: Record = { [SpanSortOthers.SUM_EXCLUSIVE_TIME]: [ 'percentileArray(spans_exclusive_time, 0.75)', 'count()', 'count_unique(id)', 'sumArray(spans_exclusive_time)', ], [SpanSortOthers.AVG_OCCURRENCE]: [ 'percentileArray(spans_exclusive_time, 0.75)', 'count()', 'count_unique(id)', 'equation|count() / count_unique(id)', 'sumArray(spans_exclusive_time)', ], [SpanSortPercentiles.P50_EXCLUSIVE_TIME]: [ 'percentileArray(spans_exclusive_time, 0.5)', 'count()', 'count_unique(id)', 'sumArray(spans_exclusive_time)', ], [SpanSortPercentiles.P75_EXCLUSIVE_TIME]: [ 'percentileArray(spans_exclusive_time, 0.75)', 'count()', 'count_unique(id)', 'sumArray(spans_exclusive_time)', ], [SpanSortPercentiles.P95_EXCLUSIVE_TIME]: [ 'percentileArray(spans_exclusive_time, 0.95)', 'count()', 'count_unique(id)', 'sumArray(spans_exclusive_time)', ], [SpanSortPercentiles.P99_EXCLUSIVE_TIME]: [ 'percentileArray(spans_exclusive_time, 0.99)', 'count()', 'count_unique(id)', 'sumArray(spans_exclusive_time)', ], }; export function getExclusiveTimeDisplayedValue(value: string): string { return value.replace('exclusive', 'self'); }