Commit f5d26bfc by Carl Bergquist Committed by GitHub

Merge pull request #10050 from davkal/davkal/multi-query-table

Add support to render values of multiple queries in the same table
parents 45eda16a edb2dcf1
......@@ -118,7 +118,7 @@ export class PrometheusDatasource {
}
if (activeTargets[index].format === "table") {
result.push(self.transformMetricDataToTable(response.data.data.result));
result.push(self.transformMetricDataToTable(response.data.data.result, responseList.length, index));
} else {
for (let metricData of response.data.data.result) {
if (response.data.data.resultType === 'matrix') {
......@@ -301,7 +301,7 @@ export class PrometheusDatasource {
return { target: metricLabel, datapoints: dps };
}
transformMetricDataToTable(md) {
transformMetricDataToTable(md, resultCount: number, resultIndex: number) {
var table = new TableModel();
var i, j;
var metricLabels = {};
......@@ -326,7 +326,8 @@ export class PrometheusDatasource {
metricLabels[label] = labelIndex + 1;
table.columns.push({text: label});
});
table.columns.push({text: 'Value'});
let valueText = resultCount > 1 ? `Value #${String.fromCharCode(65 + resultIndex)}` : 'Value';
table.columns.push({text: valueText});
// Populate rows, set value to empty string when label not present.
_.each(md, function(series) {
......
......@@ -94,7 +94,232 @@ describe('when transforming time series table', () => {
expect(table.columns[2].text).toBe('Min');
});
});
});
describe('table data sets', () => {
describe('Table', () => {
const transform = 'table';
var panel = {
transform,
};
var time = new Date().getTime();
var nonTableData = [
{
type: 'foo',
columns: [
{ text: 'Time' },
{ text: 'Label Key 1' },
{ text: 'Value' },
],
rows: [
[time, 'Label Value 1', 42],
],
}
];
var singleQueryData = [
{
type: 'table',
columns: [
{ text: 'Time' },
{ text: 'Label Key 1' },
{ text: 'Value' },
],
rows: [
[time, 'Label Value 1', 42],
],
}
];
var multipleQueriesDataSameLabels = [
{
type: 'table',
columns: [
{ text: 'Time' },
{ text: 'Label Key 1' },
{ text: 'Label Key 2' },
{ text: 'Value #A' },
],
rows: [
[time, 'Label Value 1', 'Label Value 2', 42],
],
},
{
type: 'table',
columns: [
{ text: 'Time' },
{ text: 'Label Key 1' },
{ text: 'Label Key 2' },
{ text: 'Value #B' },
],
rows: [
[time, 'Label Value 1', 'Label Value 2', 13],
],
},
{
type: 'table',
columns: [
{ text: 'Time' },
{ text: 'Label Key 1' },
{ text: 'Label Key 2' },
{ text: 'Value #C' },
],
rows: [
[time, 'Label Value 1', 'Label Value 2', 4],
],
},
{
type: 'table',
columns: [
{ text: 'Time' },
{ text: 'Label Key 1' },
{ text: 'Label Key 2' },
{ text: 'Value #C' },
],
rows: [
[time, 'Label Value 1', 'Label Value 2', 7],
],
}
];
var multipleQueriesDataDifferentLabels = [
{
type: 'table',
columns: [
{ text: 'Time' },
{ text: 'Label Key 1' },
{ text: 'Value #A' },
],
rows: [
[time, 'Label Value 1', 42],
],
},
{
type: 'table',
columns: [
{ text: 'Time' },
{ text: 'Label Key 2' },
{ text: 'Value #B' },
],
rows: [
[time, 'Label Value 2', 13],
],
},
{
type: 'table',
columns: [
{ text: 'Time' },
{ text: 'Label Key 1' },
{ text: 'Value #C' },
],
rows: [
[time, 'Label Value 3', 7],
],
}
];
describe('getColumns', function() {
it('should return data columns given a single query', function() {
var columns = transformers[transform].getColumns(singleQueryData);
expect(columns[0].text).toBe('Time');
expect(columns[1].text).toBe('Label Key 1');
expect(columns[2].text).toBe('Value');
});
it('should return the union of data columns given a multiple queries', function() {
var columns = transformers[transform].getColumns(multipleQueriesDataSameLabels);
expect(columns[0].text).toBe('Time');
expect(columns[1].text).toBe('Label Key 1');
expect(columns[2].text).toBe('Label Key 2');
expect(columns[3].text).toBe('Value #A');
expect(columns[4].text).toBe('Value #B');
});
it('should return the union of data columns given a multiple queries with different labels', function() {
var columns = transformers[transform].getColumns(multipleQueriesDataDifferentLabels);
expect(columns[0].text).toBe('Time');
expect(columns[1].text).toBe('Label Key 1');
expect(columns[2].text).toBe('Value #A');
expect(columns[3].text).toBe('Label Key 2');
expect(columns[4].text).toBe('Value #B');
expect(columns[5].text).toBe('Value #C');
});
});
describe('transform', function() {
it ('should throw an error with non-table data', () => {
expect(() => transformDataToTable(nonTableData, panel)).toThrow();
});
it ('should return 3 columns for single queries', () => {
table = transformDataToTable(singleQueryData, panel);
expect(table.columns.length).toBe(3);
expect(table.columns[0].text).toBe('Time');
expect(table.columns[1].text).toBe('Label Key 1');
expect(table.columns[2].text).toBe('Value');
});
it ('should return the union of columns for multiple queries', () => {
table = transformDataToTable(multipleQueriesDataSameLabels, panel);
expect(table.columns.length).toBe(6);
expect(table.columns[0].text).toBe('Time');
expect(table.columns[1].text).toBe('Label Key 1');
expect(table.columns[2].text).toBe('Label Key 2');
expect(table.columns[3].text).toBe('Value #A');
expect(table.columns[4].text).toBe('Value #B');
expect(table.columns[5].text).toBe('Value #C');
});
it ('should return 1 row for a single query', () => {
table = transformDataToTable(singleQueryData, panel);
expect(table.rows.length).toBe(1);
expect(table.rows[0][0]).toBe(time);
expect(table.rows[0][1]).toBe('Label Value 1');
expect(table.rows[0][2]).toBe(42);
});
it ('should return 2 rows for a mulitple queries with same label values plus one extra row', () => {
table = transformDataToTable(multipleQueriesDataSameLabels, panel);
expect(table.rows.length).toBe(2);
expect(table.rows[0][0]).toBe(time);
expect(table.rows[0][1]).toBe('Label Value 1');
expect(table.rows[0][2]).toBe('Label Value 2');
expect(table.rows[0][3]).toBe(42);
expect(table.rows[0][4]).toBe(13);
expect(table.rows[0][5]).toBe(4);
expect(table.rows[1][0]).toBe(time);
expect(table.rows[1][1]).toBe('Label Value 1');
expect(table.rows[1][2]).toBe('Label Value 2');
expect(table.rows[1][3]).toBeUndefined();
expect(table.rows[1][4]).toBeUndefined();
expect(table.rows[1][5]).toBe(7);
});
it ('should return 2 rows for mulitple queries with different label values', () => {
table = transformDataToTable(multipleQueriesDataDifferentLabels, panel);
expect(table.rows.length).toBe(2);
expect(table.columns.length).toBe(6);
expect(table.rows[0][0]).toBe(time);
expect(table.rows[0][1]).toBe('Label Value 1');
expect(table.rows[0][2]).toBe(42);
expect(table.rows[0][3]).toBe('Label Value 2');
expect(table.rows[0][4]).toBe(13);
expect(table.rows[0][5]).toBeUndefined();
expect(table.rows[1][0]).toBe(time);
expect(table.rows[1][1]).toBe('Label Value 3');
expect(table.rows[1][2]).toBeUndefined();
expect(table.rows[1][3]).toBeUndefined();
expect(table.rows[1][4]).toBeUndefined();
expect(table.rows[1][5]).toBe(7);
});
});
});
});
describe('doc data sets', () => {
describe('JSON Data', () => {
var panel = {
transform: 'json',
......@@ -148,7 +373,9 @@ describe('when transforming time series table', () => {
});
});
});
});
describe('annotation data', () => {
describe('Annnotations', () => {
var panel = {transform: 'annotations'};
var rawData = {
......
......@@ -135,19 +135,134 @@ transformers['table'] = {
if (!data || data.length === 0) {
return [];
}
return data[0].columns;
// Single query returns data columns as is
if (data.length === 1) {
return [...data[0].columns];
}
// Track column indexes: name -> index
const columnNames = {};
// Union of all columns
const columns = data.reduce((acc, series) => {
series.columns.forEach(col => {
const { text } = col;
if (columnNames[text] === undefined) {
columnNames[text] = acc.length;
acc.push(col);
}
});
return acc;
}, []);
return columns;
},
transform: function(data, panel, model) {
if (!data || data.length === 0) {
return;
}
if (data[0].type !== 'table') {
throw {message: 'Query result is not in table format, try using another transform.'};
const noTableIndex = _.findIndex(data, d => d.type !== 'table');
if (noTableIndex > -1) {
throw {message: `Result of query #${String.fromCharCode(65 + noTableIndex)} is not in table format, try using another transform.`};
}
// Single query returns data columns and rows as is
if (data.length === 1) {
model.columns = [...data[0].columns];
model.rows = [...data[0].rows];
return;
}
model.columns = data[0].columns;
model.rows = data[0].rows;
// Track column indexes of union: name -> index
const columnNames = {};
// Union of all non-value columns
const columnsUnion = data.reduce((acc, series) => {
series.columns.forEach(col => {
const { text } = col;
if (columnNames[text] === undefined) {
columnNames[text] = acc.length;
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);
});
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];
}
}
// Dont 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;
}
};
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment