Files
2024-02-15 17:01:50 +00:00

250 lines
6.4 KiB
TypeScript

import type {ReactNode} from 'react';
import type {Location} from 'history';
import type {GridColumnOrder} from 'sentry/components/gridEditable';
import GridEditable, {COL_WIDTH_UNDEFINED} from 'sentry/components/gridEditable';
import SortLink from 'sentry/components/gridEditable/sortLink';
import Link from 'sentry/components/links/link';
import {t} from 'sentry/locale';
import type {Organization, Project} from 'sentry/types';
import {defined} from 'sentry/utils';
import {getFieldRenderer} from 'sentry/utils/discover/fieldRenderers';
import type {ColumnType} from 'sentry/utils/discover/fields';
import {fieldAlignment} from 'sentry/utils/discover/fields';
import {Container as TableCellContainer} from 'sentry/utils/discover/styles';
import type {SuspectSpans} from 'sentry/utils/performance/suspectSpans/types';
import {spanDetailsRouteWithQuery} from './spanDetails/utils';
import type {SpanSort, SpansTotalValues} from './types';
import {SpanSortOthers, SpanSortPercentiles} from './types';
type Props = {
isLoading: boolean;
location: Location;
organization: Organization;
sort: SpanSort;
suspectSpans: SuspectSpans;
totals: SpansTotalValues | null;
transactionName: string;
project?: Project;
};
export default function SuspectSpansTable(props: Props) {
const {
location,
organization,
transactionName,
isLoading,
suspectSpans,
totals,
sort,
project,
} = props;
const data: TableDataRowWithExtras[] = suspectSpans.map(suspectSpan => ({
operation: suspectSpan.op,
group: suspectSpan.group,
description: suspectSpan.description,
frequency:
// Frequency is computed using the `uniq` function in ClickHouse.
// Because it is an approximation, it can occasionally exceed the number of events.
defined(suspectSpan.frequency) && defined(totals?.['count()'])
? Math.min(1, suspectSpan.frequency / totals!['count()'])
: null,
avgOccurrences: suspectSpan.avgOccurrences,
p50ExclusiveTime: suspectSpan.p50ExclusiveTime,
p75ExclusiveTime: suspectSpan.p75ExclusiveTime,
p95ExclusiveTime: suspectSpan.p95ExclusiveTime,
p99ExclusiveTime: suspectSpan.p99ExclusiveTime,
sumExclusiveTime: suspectSpan.sumExclusiveTime,
}));
return (
<GridEditable
isLoading={isLoading}
data={data}
columnOrder={COLUMN_ORDER[sort].map(column => COLUMNS[column])}
columnSortBy={[]}
grid={{
renderHeadCell,
renderBodyCell: renderBodyCellWithMeta(
location,
organization,
transactionName,
project
),
}}
location={location}
/>
);
}
function renderHeadCell(column: TableColumn, _index: number): ReactNode {
const align = fieldAlignment(column.key, COLUMN_TYPE[column.key]);
return (
<SortLink
title={column.name}
align={align}
direction={undefined}
canSort={false}
generateSortLink={() => undefined}
/>
);
}
function renderBodyCellWithMeta(
location: Location,
organization: Organization,
transactionName: string,
project?: Project
) {
return function (
column: TableColumn,
dataRow: TableDataRowWithExtras
): React.ReactNode {
const fieldRenderer = getFieldRenderer(column.key, COLUMN_TYPE);
if (column.key === 'description') {
const target = spanDetailsRouteWithQuery({
orgSlug: organization.slug,
transaction: transactionName,
query: location.query,
spanSlug: {op: dataRow.operation, group: dataRow.group},
projectID: project?.id,
});
return (
<TableCellContainer>
<Link to={target}>{dataRow[column.key] ?? t('(unnamed span)')}</Link>
</TableCellContainer>
);
}
return fieldRenderer(dataRow, {location, organization});
};
}
type TableColumnKey =
| 'operation'
| 'description'
| 'frequency'
| 'avgOccurrences'
| 'p50ExclusiveTime'
| 'p75ExclusiveTime'
| 'p95ExclusiveTime'
| 'p99ExclusiveTime'
| 'sumExclusiveTime';
type TableColumn = GridColumnOrder<TableColumnKey>;
type TableDataRow = Record<TableColumnKey, any>;
type TableDataRowWithExtras = TableDataRow & {
group: string;
};
const COLUMN_ORDER: Record<SpanSort, TableColumnKey[]> = {
[SpanSortOthers.AVG_OCCURRENCE]: [
'operation',
'description',
'avgOccurrences',
'frequency',
'p75ExclusiveTime',
'sumExclusiveTime',
],
[SpanSortOthers.SUM_EXCLUSIVE_TIME]: [
'operation',
'description',
'frequency',
'p75ExclusiveTime',
'sumExclusiveTime',
],
[SpanSortPercentiles.P50_EXCLUSIVE_TIME]: [
'operation',
'description',
'frequency',
'p50ExclusiveTime',
'sumExclusiveTime',
],
[SpanSortPercentiles.P75_EXCLUSIVE_TIME]: [
'operation',
'description',
'frequency',
'p75ExclusiveTime',
'sumExclusiveTime',
],
[SpanSortPercentiles.P95_EXCLUSIVE_TIME]: [
'operation',
'description',
'frequency',
'p95ExclusiveTime',
'sumExclusiveTime',
],
[SpanSortPercentiles.P99_EXCLUSIVE_TIME]: [
'operation',
'description',
'frequency',
'p99ExclusiveTime',
'sumExclusiveTime',
],
};
const COLUMNS: Record<TableColumnKey, TableColumn> = {
operation: {
key: 'operation',
name: t('Span Operation'),
width: COL_WIDTH_UNDEFINED,
},
description: {
key: 'description',
name: t('Span Name'),
width: COL_WIDTH_UNDEFINED,
},
frequency: {
key: 'frequency',
name: t('Frequency'),
width: COL_WIDTH_UNDEFINED,
},
avgOccurrences: {
key: 'avgOccurrences',
name: t('Average Occurrences'),
width: COL_WIDTH_UNDEFINED,
},
p50ExclusiveTime: {
key: 'p50ExclusiveTime',
name: t('P50 Self Time'),
width: COL_WIDTH_UNDEFINED,
},
p75ExclusiveTime: {
key: 'p75ExclusiveTime',
name: t('P75 Self Time'),
width: COL_WIDTH_UNDEFINED,
},
p95ExclusiveTime: {
key: 'p95ExclusiveTime',
name: t('P95 Self Time'),
width: COL_WIDTH_UNDEFINED,
},
p99ExclusiveTime: {
key: 'p99ExclusiveTime',
name: t('P99 Self Time'),
width: COL_WIDTH_UNDEFINED,
},
sumExclusiveTime: {
key: 'sumExclusiveTime',
name: t('Total Self Time'),
width: COL_WIDTH_UNDEFINED,
},
};
const COLUMN_TYPE: Record<TableColumnKey, ColumnType> = {
operation: 'string',
description: 'string',
frequency: 'percentage',
avgOccurrences: 'number',
p50ExclusiveTime: 'duration',
p75ExclusiveTime: 'duration',
p95ExclusiveTime: 'duration',
p99ExclusiveTime: 'duration',
sumExclusiveTime: 'duration',
};