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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:
@@ -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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const transformers = {};
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@@ -168,97 +168,7 @@ transformers['table'] = {
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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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// 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 = 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);
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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 = data.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 = data.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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// 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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// 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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mergeTablesIntoModel(model, ...data);
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},
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};
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