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Elastic: Map level field based on config. (#22182)
* Map level field based on config. * Fix type
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@@ -1,5 +1,6 @@
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import { DataFrameView, KeyValue, MutableDataFrame } from '@grafana/data';
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import { DataFrameView, FieldCache, KeyValue, MutableDataFrame } from '@grafana/data';
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import { ElasticResponse } from '../elastic_response';
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import flatten from 'app/core/utils/flatten';
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describe('ElasticResponse', () => {
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let targets;
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@@ -827,71 +828,76 @@ describe('ElasticResponse', () => {
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});
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describe('simple logs query and count', () => {
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beforeEach(() => {
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targets = [
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const targets: any = [
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{
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refId: 'A',
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metrics: [{ type: 'count', id: '1' }],
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bucketAggs: [{ type: 'date_histogram', settings: { interval: 'auto' }, id: '2' }],
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context: 'explore',
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interval: '10s',
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isLogsQuery: true,
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key: 'Q-1561369883389-0.7611823271062786-0',
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liveStreaming: false,
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maxDataPoints: 1620,
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query: '',
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timeField: '@timestamp',
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},
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];
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const response = {
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responses: [
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{
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refId: 'A',
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metrics: [{ type: 'count', id: '1' }],
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bucketAggs: [{ type: 'date_histogram', settings: { interval: 'auto' }, id: '2' }],
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context: 'explore',
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interval: '10s',
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isLogsQuery: true,
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key: 'Q-1561369883389-0.7611823271062786-0',
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liveStreaming: false,
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maxDataPoints: 1620,
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query: '',
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timeField: '@timestamp',
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},
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];
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response = {
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responses: [
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{
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aggregations: {
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'2': {
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buckets: [
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{
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doc_count: 10,
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key: 1000,
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},
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{
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doc_count: 15,
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key: 2000,
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},
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],
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},
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},
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hits: {
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hits: [
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aggregations: {
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'2': {
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buckets: [
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{
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_id: 'fdsfs',
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_type: '_doc',
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_index: 'mock-index',
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_source: {
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'@timestamp': '2019-06-24T09:51:19.765Z',
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host: 'djisaodjsoad',
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message: 'hello, i am a message',
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},
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doc_count: 10,
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key: 1000,
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},
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{
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_id: 'kdospaidopa',
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_type: '_doc',
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_index: 'mock-index',
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_source: {
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'@timestamp': '2019-06-24T09:52:19.765Z',
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host: 'dsalkdakdop',
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message: 'hello, i am also message',
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},
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doc_count: 15,
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key: 2000,
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},
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],
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},
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},
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],
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};
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result = new ElasticResponse(targets, response).getLogs();
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});
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hits: {
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hits: [
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{
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_id: 'fdsfs',
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_type: '_doc',
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_index: 'mock-index',
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_source: {
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'@timestamp': '2019-06-24T09:51:19.765Z',
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host: 'djisaodjsoad',
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message: 'hello, i am a message',
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level: 'debug',
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fields: {
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lvl: 'debug',
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},
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},
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},
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{
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_id: 'kdospaidopa',
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_type: '_doc',
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_index: 'mock-index',
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_source: {
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'@timestamp': '2019-06-24T09:52:19.765Z',
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host: 'dsalkdakdop',
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message: 'hello, i am also message',
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level: 'error',
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fields: {
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lvl: 'info',
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},
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},
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},
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],
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},
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},
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],
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};
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it('should return histogram aggregation and documents', () => {
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const result = new ElasticResponse(targets, response).getLogs();
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expect(result.data.length).toBe(2);
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const logResults = result.data[0] as MutableDataFrame;
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const fields = logResults.fields.map(f => {
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@@ -911,7 +917,7 @@ describe('ElasticResponse', () => {
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expect(r._id).toEqual(response.responses[0].hits.hits[i]._id);
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expect(r._type).toEqual(response.responses[0].hits.hits[i]._type);
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expect(r._index).toEqual(response.responses[0].hits.hits[i]._index);
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expect(r._source).toEqual(response.responses[0].hits.hits[i]._source);
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expect(r._source).toEqual(flatten(response.responses[0].hits.hits[i]._source, null));
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}
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// Make a map from the histogram results
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@@ -927,5 +933,19 @@ describe('ElasticResponse', () => {
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expect(hist[bucket.key]).toEqual(bucket.doc_count);
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});
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});
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it('should map levels field', () => {
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const result = new ElasticResponse(targets, response).getLogs(undefined, 'level');
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const fieldCache = new FieldCache(result.data[0]);
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const field = fieldCache.getFieldByName('level');
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expect(field.values.toArray()).toEqual(['debug', 'error']);
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});
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it('should re map levels field to new field', () => {
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const result = new ElasticResponse(targets, response).getLogs(undefined, 'fields.lvl');
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const fieldCache = new FieldCache(result.data[0]);
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const field = fieldCache.getFieldByName('level');
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expect(field.values.toArray()).toEqual(['debug', 'info']);
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});
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});
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});
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