The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
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grafana/public/app/features/explore/Logs/LogsTableWrap.tsx

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import { css } from '@emotion/css';
import { debounce } from 'lodash';
import React, { useState, useEffect, useCallback } from 'react';
import {
DataFrame,
ExploreLogsPanelState,
GrafanaTheme2,
Labels,
LogsSortOrder,
SplitOpen,
TimeRange,
} from '@grafana/data';
import { reportInteraction } from '@grafana/runtime/src';
import { Themeable2 } from '@grafana/ui/';
import { parseLogsFrame } from '../../logs/logsFrame';
import { LogsColumnSearch } from './LogsColumnSearch';
import { LogsTable } from './LogsTable';
import { LogsTableMultiSelect } from './LogsTableMultiSelect';
import { fuzzySearch } from './utils/uFuzzy';
interface Props extends Themeable2 {
logsFrames: DataFrame[];
width: number;
timeZone: string;
splitOpen: SplitOpen;
range: TimeRange;
logsSortOrder: LogsSortOrder;
panelState: ExploreLogsPanelState | undefined;
updatePanelState: (panelState: Partial<ExploreLogsPanelState>) => void;
onClickFilterLabel?: (key: string, value: string, refId?: string) => void;
onClickFilterOutLabel?: (key: string, value: string, refId?: string) => void;
}
export type fieldNameMeta = { percentOfLinesWithLabel: number; active: boolean | undefined };
type fieldName = string;
type fieldNameMetaStore = Record<fieldName, fieldNameMeta>;
export function LogsTableWrap(props: Props) {
const { logsFrames } = props;
// Save the normalized cardinality of each label
const [columnsWithMeta, setColumnsWithMeta] = useState<fieldNameMetaStore | undefined>(undefined);
// Filtered copy of columnsWithMeta that only includes matching results
const [filteredColumnsWithMeta, setFilteredColumnsWithMeta] = useState<fieldNameMetaStore | undefined>(undefined);
const [height, setHeight] = useState<number>(600);
const dataFrame = logsFrames[0];
const getColumnsFromProps = useCallback(
(fieldNames: fieldNameMetaStore) => {
const previouslySelected = props.panelState?.columns;
if (previouslySelected) {
Object.values(previouslySelected).forEach((key) => {
if (fieldNames[key]) {
fieldNames[key].active = true;
}
});
}
return fieldNames;
},
[props.panelState?.columns]
);
/**
* Keeps the filteredColumnsWithMeta state in sync with the columnsWithMeta state,
* which can be updated by explore browser history state changes
* This prevents an edge case bug where the user is navigating while a search is open.
*/
useEffect(() => {
if (!columnsWithMeta || !filteredColumnsWithMeta) {
return;
}
let newFiltered = { ...filteredColumnsWithMeta };
let flag = false;
Object.keys(columnsWithMeta).forEach((key) => {
if (newFiltered[key] && newFiltered[key].active !== columnsWithMeta[key].active) {
newFiltered[key] = columnsWithMeta[key];
flag = true;
}
});
if (flag) {
setFilteredColumnsWithMeta(newFiltered);
}
}, [columnsWithMeta, filteredColumnsWithMeta]);
/**
* when the query results change, we need to update the columnsWithMeta state
* and reset any local search state
*
* This will also find all the unique labels, and calculate how many log lines have each label into the labelCardinality Map
* Then it normalizes the counts
*
*/
useEffect(() => {
const numberOfLogLines = dataFrame ? dataFrame.length : 0;
const logsFrame = parseLogsFrame(dataFrame);
const labels = logsFrame?.getLogFrameLabelsAsLabels();
const otherFields = logsFrame ? logsFrame.extraFields.filter((field) => !field?.config?.custom?.hidden) : [];
if (logsFrame?.severityField) {
otherFields.push(logsFrame?.severityField);
}
// Use a map to dedupe labels and count their occurrences in the logs
const labelCardinality = new Map<fieldName, fieldNameMeta>();
// What the label state will look like
let pendingLabelState: fieldNameMetaStore = {};
// If we have labels and log lines
if (labels?.length && numberOfLogLines) {
// Iterate through all of Labels
labels.forEach((labels: Labels) => {
const labelsArray = Object.keys(labels);
// Iterate through the label values
labelsArray.forEach((label) => {
// If it's already in our map, increment the count
if (labelCardinality.has(label)) {
const value = labelCardinality.get(label);
if (value) {
labelCardinality.set(label, {
percentOfLinesWithLabel: value.percentOfLinesWithLabel + 1,
active: value?.active,
});
}
// Otherwise add it
} else {
labelCardinality.set(label, { percentOfLinesWithLabel: 1, active: undefined });
}
});
});
// Converting the map to an object
pendingLabelState = Object.fromEntries(labelCardinality);
// Convert count to percent of log lines
Object.keys(pendingLabelState).forEach((key) => {
pendingLabelState[key].percentOfLinesWithLabel = normalize(
pendingLabelState[key].percentOfLinesWithLabel,
numberOfLogLines
);
});
}
// Normalize the other fields
otherFields.forEach((field) => {
pendingLabelState[field.name] = {
percentOfLinesWithLabel: normalize(
field.values.filter((value) => value !== null && value !== undefined).length,
numberOfLogLines
),
active: pendingLabelState[field.name]?.active,
};
});
pendingLabelState = getColumnsFromProps(pendingLabelState);
setColumnsWithMeta(pendingLabelState);
// The panel state is updated when the user interacts with the multi-select sidebar
}, [dataFrame, getColumnsFromProps]);
// As the number of rows change, so too must the height of the table
useEffect(() => {
setHeight(getTableHeight(dataFrame.length, false));
}, [dataFrame.length]);
if (!columnsWithMeta) {
return null;
}
function columnFilterEvent(columnName: string) {
if (columnsWithMeta) {
const newState = !columnsWithMeta[columnName]?.active;
const priorActiveCount = Object.keys(columnsWithMeta).filter((column) => columnsWithMeta[column]?.active)?.length;
const event = {
columnAction: newState ? 'add' : 'remove',
columnCount: newState ? priorActiveCount + 1 : priorActiveCount - 1,
};
reportInteraction('grafana_explore_logs_table_column_filter_clicked', event);
}
}
function searchFilterEvent(searchResultCount: number) {
reportInteraction('grafana_explore_logs_table_text_search_result_count', {
resultCount: searchResultCount,
});
}
// Toggle a column on or off when the user interacts with an element in the multi-select sidebar
const toggleColumn = (columnName: fieldName) => {
if (!columnsWithMeta || !(columnName in columnsWithMeta)) {
console.warn('failed to get column', columnsWithMeta);
return;
}
const pendingLabelState = {
...columnsWithMeta,
[columnName]: { ...columnsWithMeta[columnName], active: !columnsWithMeta[columnName]?.active },
};
// Analytics
columnFilterEvent(columnName);
// Set local state
setColumnsWithMeta(pendingLabelState);
// If user is currently filtering, update filtered state
if (filteredColumnsWithMeta) {
const pendingFilteredLabelState = {
...filteredColumnsWithMeta,
[columnName]: { ...filteredColumnsWithMeta[columnName], active: !filteredColumnsWithMeta[columnName]?.active },
};
setFilteredColumnsWithMeta(pendingFilteredLabelState);
}
const newPanelState: ExploreLogsPanelState = {
...props.panelState,
// URL format requires our array of values be an object, so we convert it using object.assign
columns: Object.assign(
{},
// Get the keys of the object as an array
Object.keys(pendingLabelState)
// Only include active filters
.filter((key) => pendingLabelState[key]?.active)
),
visualisationType: 'table',
};
// Update url state
props.updatePanelState(newPanelState);
};
// uFuzzy search dispatcher, adds any matches to the local state
const dispatcher = (data: string[][]) => {
const matches = data[0];
let newColumnsWithMeta: fieldNameMetaStore = {};
let numberOfResults = 0;
matches.forEach((match) => {
if (match in columnsWithMeta) {
newColumnsWithMeta[match] = columnsWithMeta[match];
numberOfResults++;
}
});
setFilteredColumnsWithMeta(newColumnsWithMeta);
searchFilterEvent(numberOfResults);
};
// uFuzzy search
const search = (needle: string) => {
fuzzySearch(Object.keys(columnsWithMeta), needle, dispatcher);
};
// Debounce fuzzy search
const debouncedSearch = debounce(search, 500);
// onChange handler for search input
const onSearchInputChange = (e: React.FormEvent<HTMLInputElement>) => {
const value = e.currentTarget?.value;
if (value) {
debouncedSearch(value);
} else {
// If the search input is empty, reset the local search state.
setFilteredColumnsWithMeta(undefined);
}
};
const sidebarWidth = 220;
const totalWidth = props.width;
const tableWidth = totalWidth - sidebarWidth;
const styles = getStyles(props.theme, height, sidebarWidth);
return (
<div className={styles.wrapper}>
<section className={styles.sidebar}>
<LogsColumnSearch onChange={onSearchInputChange} />
<LogsTableMultiSelect
toggleColumn={toggleColumn}
filteredColumnsWithMeta={filteredColumnsWithMeta}
columnsWithMeta={columnsWithMeta}
/>
</section>
<LogsTable
onClickFilterLabel={props.onClickFilterLabel}
onClickFilterOutLabel={props.onClickFilterOutLabel}
logsSortOrder={props.logsSortOrder}
range={props.range}
splitOpen={props.splitOpen}
timeZone={props.timeZone}
width={tableWidth}
logsFrames={logsFrames}
columnsWithMeta={columnsWithMeta}
height={height}
/>
</div>
);
}
const normalize = (value: number, total: number): number => {
return Math.ceil((100 * value) / total);
};
function getStyles(theme: GrafanaTheme2, height: number, width: number) {
return {
wrapper: css({
display: 'flex',
}),
sidebar: css({
height: height,
fontSize: theme.typography.pxToRem(11),
overflowY: 'hidden',
width: width,
paddingRight: theme.spacing(1.5),
}),
labelCount: css({}),
checkbox: css({}),
};
}
/**
* from public/app/features/explore/Table/TableContainer.tsx
*/
const getTableHeight = (rowCount: number, hasSubFrames: boolean) => {
if (rowCount === 0) {
return 200;
}
// 600px is pretty small for taller monitors, using the innerHeight minus an arbitrary 500px so the table can be viewed in its entirety without needing to scroll outside the panel to see the top and the bottom
const max = Math.max(window.innerHeight - 500, 600);
const min = Math.max(rowCount * 36, hasSubFrames ? 300 : 0) + 40 + 46;
// tries to estimate table height, with a min of 300 and a max of 600
// if there are multiple tables, there is no min
return Math.min(max, min);
};