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Merge pull request #13761 from grafana/davkal/explore-reuse-table-merge
Explore: reuse table merge from table panel
This commit is contained in:
commit
e761fb1936
@ -1,4 +1,4 @@
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import TableModel from 'app/core/table_model';
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import TableModel, { mergeTablesIntoModel } from 'app/core/table_model';
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describe('when sorting table desc', () => {
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let table;
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@ -79,3 +79,118 @@ describe('when sorting with nulls', () => {
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expect(values).toEqual([null, null, 'd', 'c', 'b', 'a', '', '']);
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});
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});
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describe('mergeTables', () => {
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const time = new Date().getTime();
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const singleTable = new TableModel({
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type: 'table',
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columns: [{ text: 'Time' }, { text: 'Label Key 1' }, { text: 'Value' }],
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rows: [[time, 'Label Value 1', 42]],
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});
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const multipleTablesSameColumns = [
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new TableModel({
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type: 'table',
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columns: [{ text: 'Time' }, { text: 'Label Key 1' }, { text: 'Label Key 2' }, { text: 'Value #A' }],
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rows: [[time, 'Label Value 1', 'Label Value 2', 42]],
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}),
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new TableModel({
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type: 'table',
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columns: [{ text: 'Time' }, { text: 'Label Key 1' }, { text: 'Label Key 2' }, { text: 'Value #B' }],
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rows: [[time, 'Label Value 1', 'Label Value 2', 13]],
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}),
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new TableModel({
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type: 'table',
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columns: [{ text: 'Time' }, { text: 'Label Key 1' }, { text: 'Label Key 2' }, { text: 'Value #C' }],
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rows: [[time, 'Label Value 1', 'Label Value 2', 4]],
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}),
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new TableModel({
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type: 'table',
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columns: [{ text: 'Time' }, { text: 'Label Key 1' }, { text: 'Label Key 2' }, { text: 'Value #C' }],
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rows: [[time, 'Label Value 1', 'Label Value 2', 7]],
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}),
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];
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const multipleTablesDifferentColumns = [
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new TableModel({
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type: 'table',
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columns: [{ text: 'Time' }, { text: 'Label Key 1' }, { text: 'Value #A' }],
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rows: [[time, 'Label Value 1', 42]],
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}),
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new TableModel({
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type: 'table',
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columns: [{ text: 'Time' }, { text: 'Label Key 2' }, { text: 'Value #B' }],
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rows: [[time, 'Label Value 2', 13]],
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}),
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new TableModel({
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type: 'table',
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columns: [{ text: 'Time' }, { text: 'Label Key 1' }, { text: 'Value #C' }],
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rows: [[time, 'Label Value 3', 7]],
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}),
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];
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it('should return the single table as is', () => {
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const table = mergeTablesIntoModel(new TableModel(), singleTable);
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expect(table.columns.length).toBe(3);
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expect(table.columns[0].text).toBe('Time');
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expect(table.columns[1].text).toBe('Label Key 1');
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expect(table.columns[2].text).toBe('Value');
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});
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it('should return the union of columns for multiple tables', () => {
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const table = mergeTablesIntoModel(new TableModel(), ...multipleTablesSameColumns);
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expect(table.columns.length).toBe(6);
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expect(table.columns[0].text).toBe('Time');
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expect(table.columns[1].text).toBe('Label Key 1');
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expect(table.columns[2].text).toBe('Label Key 2');
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expect(table.columns[3].text).toBe('Value #A');
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expect(table.columns[4].text).toBe('Value #B');
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expect(table.columns[5].text).toBe('Value #C');
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});
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it('should return 1 row for a single table', () => {
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const table = mergeTablesIntoModel(new TableModel(), singleTable);
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expect(table.rows.length).toBe(1);
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expect(table.rows[0][0]).toBe(time);
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expect(table.rows[0][1]).toBe('Label Value 1');
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expect(table.rows[0][2]).toBe(42);
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});
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it('should return 2 rows for a multiple tables with same column values plus one extra row', () => {
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const table = mergeTablesIntoModel(new TableModel(), ...multipleTablesSameColumns);
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expect(table.rows.length).toBe(2);
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expect(table.rows[0][0]).toBe(time);
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expect(table.rows[0][1]).toBe('Label Value 1');
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expect(table.rows[0][2]).toBe('Label Value 2');
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expect(table.rows[0][3]).toBe(42);
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expect(table.rows[0][4]).toBe(13);
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expect(table.rows[0][5]).toBe(4);
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expect(table.rows[1][0]).toBe(time);
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expect(table.rows[1][1]).toBe('Label Value 1');
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expect(table.rows[1][2]).toBe('Label Value 2');
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expect(table.rows[1][3]).toBeUndefined();
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expect(table.rows[1][4]).toBeUndefined();
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expect(table.rows[1][5]).toBe(7);
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});
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it('should return 2 rows for multiple tables with different column values', () => {
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const table = mergeTablesIntoModel(new TableModel(), ...multipleTablesDifferentColumns);
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expect(table.rows.length).toBe(2);
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expect(table.columns.length).toBe(6);
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expect(table.rows[0][0]).toBe(time);
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expect(table.rows[0][1]).toBe('Label Value 1');
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expect(table.rows[0][2]).toBe(42);
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expect(table.rows[0][3]).toBe('Label Value 2');
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expect(table.rows[0][4]).toBe(13);
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expect(table.rows[0][5]).toBeUndefined();
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expect(table.rows[1][0]).toBe(time);
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expect(table.rows[1][1]).toBe('Label Value 3');
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expect(table.rows[1][2]).toBeUndefined();
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expect(table.rows[1][3]).toBeUndefined();
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expect(table.rows[1][4]).toBeUndefined();
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expect(table.rows[1][5]).toBe(7);
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});
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});
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@ -1,3 +1,5 @@
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import _ from 'lodash';
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interface Column {
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text: string;
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title?: string;
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@ -14,11 +16,20 @@ export default class TableModel {
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type: string;
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columnMap: any;
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constructor() {
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constructor(table?: any) {
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this.columns = [];
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this.columnMap = {};
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this.rows = [];
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this.type = 'table';
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if (table) {
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if (table.columns) {
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table.columns.forEach(col => this.addColumn(col));
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}
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if (table.rows) {
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table.rows.forEach(row => this.addRow(row));
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}
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}
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}
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sort(options) {
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@ -52,3 +63,100 @@ export default class TableModel {
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this.rows.push(row);
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}
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}
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// Returns true if both rows have matching non-empty fields as well as matching
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// indexes where one field is empty and the other is not
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function areRowsMatching(columns, row, otherRow) {
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let foundFieldToMatch = false;
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for (let columnIndex = 0; columnIndex < columns.length; columnIndex++) {
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if (row[columnIndex] !== undefined && otherRow[columnIndex] !== undefined) {
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if (row[columnIndex] !== otherRow[columnIndex]) {
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return false;
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}
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} else if (row[columnIndex] === undefined || otherRow[columnIndex] === undefined) {
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foundFieldToMatch = true;
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}
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}
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return foundFieldToMatch;
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}
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export function mergeTablesIntoModel(dst?: TableModel, ...tables: TableModel[]): TableModel {
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const model = dst || new TableModel();
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// Single query returns data columns and rows as is
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if (arguments.length === 2) {
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model.columns = [...tables[0].columns];
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model.rows = [...tables[0].rows];
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return model;
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}
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// Track column indexes of union: name -> index
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const columnNames = {};
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// Union of all non-value columns
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const columnsUnion = tables.slice().reduce((acc, series) => {
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series.columns.forEach(col => {
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const { text } = col;
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if (columnNames[text] === undefined) {
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columnNames[text] = acc.length;
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acc.push(col);
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}
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});
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return acc;
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}, []);
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// Map old column index to union index per series, e.g.,
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// given columnNames {A: 0, B: 1} and
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// data [{columns: [{ text: 'A' }]}, {columns: [{ text: 'B' }]}] => [[0], [1]]
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const columnIndexMapper = tables.map(series => series.columns.map(col => columnNames[col.text]));
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// Flatten rows of all series and adjust new column indexes
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const flattenedRows = tables.reduce((acc, series, seriesIndex) => {
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const mapper = columnIndexMapper[seriesIndex];
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series.rows.forEach(row => {
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const alteredRow = [];
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// Shifting entries according to index mapper
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mapper.forEach((to, from) => {
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alteredRow[to] = row[from];
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});
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acc.push(alteredRow);
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});
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return acc;
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}, []);
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// Merge rows that have same values for columns
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const mergedRows = {};
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const compactedRows = flattenedRows.reduce((acc, row, rowIndex) => {
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if (!mergedRows[rowIndex]) {
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// Look from current row onwards
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let offset = rowIndex + 1;
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// More than one row can be merged into current row
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while (offset < flattenedRows.length) {
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// Find next row that could be merged
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const match = _.findIndex(flattenedRows, otherRow => areRowsMatching(columnsUnion, row, otherRow), offset);
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if (match > -1) {
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const matchedRow = flattenedRows[match];
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// Merge values from match into current row if there is a gap in the current row
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for (let columnIndex = 0; columnIndex < columnsUnion.length; columnIndex++) {
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if (row[columnIndex] === undefined && matchedRow[columnIndex] !== undefined) {
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row[columnIndex] = matchedRow[columnIndex];
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}
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}
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// Don't visit this row again
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mergedRows[match] = matchedRow;
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// Keep looking for more rows to merge
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offset = match + 1;
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} else {
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// No match found, stop looking
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break;
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}
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}
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acc.push(row);
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}
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return acc;
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}, []);
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model.columns = columnsUnion;
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model.rows = compactedRows;
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return model;
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}
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@ -13,6 +13,7 @@ import ResetStyles from 'app/core/components/Picker/ResetStyles';
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import PickerOption from 'app/core/components/Picker/PickerOption';
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import IndicatorsContainer from 'app/core/components/Picker/IndicatorsContainer';
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import NoOptionsMessage from 'app/core/components/Picker/NoOptionsMessage';
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import TableModel, { mergeTablesIntoModel } from 'app/core/table_model';
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import ElapsedTime from './ElapsedTime';
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import QueryRows from './QueryRows';
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@ -389,8 +390,10 @@ export class Explore extends React.PureComponent<ExploreProps, ExploreState> {
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to: parseDate(range.to, true),
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};
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const { interval } = kbn.calculateInterval(absoluteRange, resolution, datasource.interval);
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const targets = this.queryExpressions.map(q => ({
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const targets = this.queryExpressions.map((q, i) => ({
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...targetOptions,
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// Target identifier is needed for table transformations
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refId: i + 1,
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expr: q,
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}));
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return {
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@ -437,7 +440,7 @@ export class Explore extends React.PureComponent<ExploreProps, ExploreState> {
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});
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try {
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const res = await datasource.query(options);
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const tableModel = res.data[0];
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const tableModel = mergeTablesIntoModel(new TableModel(), ...res.data);
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const latency = Date.now() - now;
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this.setState({ latency, loading: false, tableResult: tableModel, requestOptions: options });
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this.onQuerySuccess(datasource.meta.id, queries);
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@ -5,6 +5,8 @@ import ReactTable from 'react-table';
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import TableModel from 'app/core/table_model';
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const EMPTY_TABLE = new TableModel();
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// Identify columns that contain values
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const VALUE_REGEX = /^[Vv]alue #\d+/;
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interface TableProps {
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data: TableModel;
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@ -34,6 +36,7 @@ export default class Table extends PureComponent<TableProps> {
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const columns = tableModel.columns.map(({ filterable, text }) => ({
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Header: text,
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accessor: text,
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className: VALUE_REGEX.test(text) ? 'text-right' : '',
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show: text !== 'Time',
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Cell: row => <span className={filterable ? 'link' : ''}>{row.value}</span>,
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}));
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|
@ -143,24 +143,6 @@ describe('when transforming time series table', () => {
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},
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];
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const multipleQueriesDataDifferentLabels = [
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{
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type: 'table',
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columns: [{ text: 'Time' }, { text: 'Label Key 1' }, { text: 'Value #A' }],
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rows: [[time, 'Label Value 1', 42]],
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},
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{
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type: 'table',
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columns: [{ text: 'Time' }, { text: 'Label Key 2' }, { text: 'Value #B' }],
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rows: [[time, 'Label Value 2', 13]],
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},
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{
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type: 'table',
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columns: [{ text: 'Time' }, { text: 'Label Key 1' }, { text: 'Value #C' }],
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rows: [[time, 'Label Value 3', 7]],
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},
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];
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describe('getColumns', () => {
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it('should return data columns given a single query', () => {
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const columns = transformers[transform].getColumns(singleQueryData);
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@ -177,16 +159,6 @@ describe('when transforming time series table', () => {
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expect(columns[3].text).toBe('Value #A');
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expect(columns[4].text).toBe('Value #B');
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});
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it('should return the union of data columns given a multiple queries with different labels', () => {
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const columns = transformers[transform].getColumns(multipleQueriesDataDifferentLabels);
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expect(columns[0].text).toBe('Time');
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expect(columns[1].text).toBe('Label Key 1');
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expect(columns[2].text).toBe('Value #A');
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expect(columns[3].text).toBe('Label Key 2');
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expect(columns[4].text).toBe('Value #B');
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expect(columns[5].text).toBe('Value #C');
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});
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});
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describe('transform', () => {
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@ -237,26 +209,6 @@ describe('when transforming time series table', () => {
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expect(table.rows[1][4]).toBeUndefined();
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expect(table.rows[1][5]).toBe(7);
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});
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it('should return 2 rows for multiple queries with different label values', () => {
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table = transformDataToTable(multipleQueriesDataDifferentLabels, panel);
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expect(table.rows.length).toBe(2);
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expect(table.columns.length).toBe(6);
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expect(table.rows[0][0]).toBe(time);
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expect(table.rows[0][1]).toBe('Label Value 1');
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expect(table.rows[0][2]).toBe(42);
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expect(table.rows[0][3]).toBe('Label Value 2');
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expect(table.rows[0][4]).toBe(13);
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expect(table.rows[0][5]).toBeUndefined();
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expect(table.rows[1][0]).toBe(time);
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expect(table.rows[1][1]).toBe('Label Value 3');
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expect(table.rows[1][2]).toBeUndefined();
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expect(table.rows[1][3]).toBeUndefined();
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expect(table.rows[1][4]).toBeUndefined();
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expect(table.rows[1][5]).toBe(7);
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});
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});
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});
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});
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|
@ -1,7 +1,7 @@
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import _ from 'lodash';
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import flatten from '../../../core/utils/flatten';
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import TimeSeries from '../../../core/time_series2';
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import TableModel from '../../../core/table_model';
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import flatten from 'app/core/utils/flatten';
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import TimeSeries from 'app/core/time_series2';
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import TableModel, { mergeTablesIntoModel } from 'app/core/table_model';
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|
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const transformers = {};
|
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|
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@ -168,97 +168,7 @@ transformers['table'] = {
|
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};
|
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}
|
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|
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// Single query returns data columns and rows as is
|
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if (data.length === 1) {
|
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model.columns = [...data[0].columns];
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model.rows = [...data[0].rows];
|
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return;
|
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}
|
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|
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// Track column indexes of union: name -> index
|
||||
const columnNames = {};
|
||||
|
||||
// Union of all non-value columns
|
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const columnsUnion = data.reduce((acc, series) => {
|
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series.columns.forEach(col => {
|
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const { text } = col;
|
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if (columnNames[text] === undefined) {
|
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columnNames[text] = acc.length;
|
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acc.push(col);
|
||||
}
|
||||
});
|
||||
return acc;
|
||||
}, []);
|
||||
|
||||
// Map old column index to union index per series, e.g.,
|
||||
// given columnNames {A: 0, B: 1} and
|
||||
// data [{columns: [{ text: 'A' }]}, {columns: [{ text: 'B' }]}] => [[0], [1]]
|
||||
const columnIndexMapper = data.map(series => series.columns.map(col => columnNames[col.text]));
|
||||
|
||||
// Flatten rows of all series and adjust new column indexes
|
||||
const flattenedRows = data.reduce((acc, series, seriesIndex) => {
|
||||
const mapper = columnIndexMapper[seriesIndex];
|
||||
series.rows.forEach(row => {
|
||||
const alteredRow = [];
|
||||
// Shifting entries according to index mapper
|
||||
mapper.forEach((to, from) => {
|
||||
alteredRow[to] = row[from];
|
||||
});
|
||||
acc.push(alteredRow);
|
||||
});
|
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return acc;
|
||||
}, []);
|
||||
|
||||
// Returns true if both rows have matching non-empty fields as well as matching
|
||||
// indexes where one field is empty and the other is not
|
||||
function areRowsMatching(columns, row, otherRow) {
|
||||
let foundFieldToMatch = false;
|
||||
for (let columnIndex = 0; columnIndex < columns.length; columnIndex++) {
|
||||
if (row[columnIndex] !== undefined && otherRow[columnIndex] !== undefined) {
|
||||
if (row[columnIndex] !== otherRow[columnIndex]) {
|
||||
return false;
|
||||
}
|
||||
} else if (row[columnIndex] === undefined || otherRow[columnIndex] === undefined) {
|
||||
foundFieldToMatch = true;
|
||||
}
|
||||
}
|
||||
return foundFieldToMatch;
|
||||
}
|
||||
|
||||
// Merge rows that have same values for columns
|
||||
const mergedRows = {};
|
||||
const compactedRows = flattenedRows.reduce((acc, row, rowIndex) => {
|
||||
if (!mergedRows[rowIndex]) {
|
||||
// Look from current row onwards
|
||||
let offset = rowIndex + 1;
|
||||
// More than one row can be merged into current row
|
||||
while (offset < flattenedRows.length) {
|
||||
// Find next row that could be merged
|
||||
const match = _.findIndex(flattenedRows, otherRow => areRowsMatching(columnsUnion, row, otherRow), offset);
|
||||
if (match > -1) {
|
||||
const matchedRow = flattenedRows[match];
|
||||
// Merge values from match into current row if there is a gap in the current row
|
||||
for (let columnIndex = 0; columnIndex < columnsUnion.length; columnIndex++) {
|
||||
if (row[columnIndex] === undefined && matchedRow[columnIndex] !== undefined) {
|
||||
row[columnIndex] = matchedRow[columnIndex];
|
||||
}
|
||||
}
|
||||
// Don't visit this row again
|
||||
mergedRows[match] = matchedRow;
|
||||
// Keep looking for more rows to merge
|
||||
offset = match + 1;
|
||||
} else {
|
||||
// No match found, stop looking
|
||||
break;
|
||||
}
|
||||
}
|
||||
acc.push(row);
|
||||
}
|
||||
return acc;
|
||||
}, []);
|
||||
|
||||
model.columns = columnsUnion;
|
||||
model.rows = compactedRows;
|
||||
mergeTablesIntoModel(model, ...data);
|
||||
},
|
||||
};
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user