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[Manual backport 2.x] Add support for async ppl to discover (opensear…
…ch-project#8706) (opensearch-project#8769) Backport PR: opensearch-project#8706 From original PR: * add support for async ppl to discover * Changeset file for PR opensearch-project#8706 created/updated * update s3_type test to add PPL as supported lang * fix lint error --------- Signed-off-by: Shenoy Pratik <[email protected]> Co-authored-by: Shenoy Pratik <[email protected]> Co-authored-by: opensearch-changeset-bot[bot] <154024398+opensearch-changeset-bot[bot]@users.noreply.github.com>
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feat: | ||
- Add support for async ppl to discover ([#8706](https://github.com/opensearch-project/OpenSearch-Dashboards/pull/8706)) |
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102 changes: 102 additions & 0 deletions
102
src/plugins/query_enhancements/server/search/ppl_async_search_strategy.ts
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/* | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
*/ | ||
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import { ILegacyClusterClient, Logger, SharedGlobalConfig } from 'opensearch-dashboards/server'; | ||
import { Observable } from 'rxjs'; | ||
import { | ||
createDataFrame, | ||
DATA_FRAME_TYPES, | ||
IDataFrameResponse, | ||
IOpenSearchDashboardsSearchRequest, | ||
Query, | ||
} from '../../../data/common'; | ||
import { ISearchStrategy, SearchUsage } from '../../../data/server'; | ||
import { buildQueryStatusConfig, getFields, handleFacetError, SEARCH_STRATEGY } from '../../common'; | ||
import { Facet } from '../utils'; | ||
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export const pplAsyncSearchStrategyProvider = ( | ||
config$: Observable<SharedGlobalConfig>, | ||
logger: Logger, | ||
client: ILegacyClusterClient, | ||
usage?: SearchUsage | ||
): ISearchStrategy<IOpenSearchDashboardsSearchRequest, IDataFrameResponse> => { | ||
const pplAsyncFacet = new Facet({ | ||
client, | ||
logger, | ||
endpoint: 'enhancements.runDirectQuery', | ||
}); | ||
const pplAsyncJobsFacet = new Facet({ | ||
client, | ||
logger, | ||
endpoint: 'enhancements.getJobStatus', | ||
useJobs: true, | ||
}); | ||
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return { | ||
search: async (context, request: any, options) => { | ||
try { | ||
const query: Query = request.body.query; | ||
const pollQueryResultsParams = request.body.pollQueryResultsParams; | ||
const inProgressQueryId = pollQueryResultsParams?.queryId; | ||
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if (!inProgressQueryId) { | ||
request.body = { ...request.body, lang: SEARCH_STRATEGY.PPL }; | ||
const rawResponse: any = await pplAsyncFacet.describeQuery(context, request); | ||
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if (!rawResponse.success) handleFacetError(rawResponse); | ||
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const statusConfig = buildQueryStatusConfig(rawResponse); | ||
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return { | ||
type: DATA_FRAME_TYPES.POLLING, | ||
status: 'started', | ||
body: { | ||
queryStatusConfig: statusConfig, | ||
}, | ||
} as IDataFrameResponse; | ||
} else { | ||
request.params = { queryId: inProgressQueryId }; | ||
const queryStatusResponse: any = await pplAsyncJobsFacet.describeQuery(context, request); | ||
const queryStatus = queryStatusResponse?.data?.status; | ||
logger.info(`pplAsyncSearchStrategy: JOB: ${inProgressQueryId} - STATUS: ${queryStatus}`); | ||
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if (queryStatus?.toUpperCase() === 'SUCCESS') { | ||
const dataFrame = createDataFrame({ | ||
name: query.dataset?.id, | ||
schema: queryStatusResponse.data.schema, | ||
meta: { ...pollQueryResultsParams }, | ||
fields: getFields(queryStatusResponse), | ||
}); | ||
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dataFrame.size = queryStatusResponse.data.datarows.length; | ||
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return { | ||
type: DATA_FRAME_TYPES.POLLING, | ||
status: 'success', | ||
body: dataFrame, | ||
} as IDataFrameResponse; | ||
} else if (queryStatus?.toUpperCase() === 'FAILED') { | ||
return { | ||
type: DATA_FRAME_TYPES.POLLING, | ||
status: 'failed', | ||
body: { | ||
error: `JOB: ${inProgressQueryId} failed: ${queryStatusResponse.data.error}`, | ||
}, | ||
} as IDataFrameResponse; | ||
} | ||
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return { | ||
type: DATA_FRAME_TYPES.POLLING, | ||
status: queryStatus, | ||
} as IDataFrameResponse; | ||
} | ||
} catch (e: any) { | ||
logger.error(`pplAsyncSearchStrategy: ${e.message}`); | ||
if (usage) usage.trackError(); | ||
throw e; | ||
} | ||
}, | ||
}; | ||
}; |