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Streaming: improve JSDocs for DataSourceAPI streaming support (#18672)
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@ -148,6 +148,9 @@ export interface DataSourceConstructor<
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/**
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* The main data source abstraction interface, represents an instance of a data source
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*
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* Although this is a class, datasource implementations do not *yet* need to extend it.
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* As such, we can not yet add functions with default implementations.
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*/
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export abstract class DataSourceApi<
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TQuery extends DataQuery = DataQuery,
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@ -184,9 +187,26 @@ export abstract class DataSourceApi<
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init?: () => void;
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/**
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* Main metrics / data query action
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* Query for data, and optionally stream results to an observer.
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*
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* Are you reading these docs aiming to execute a query?
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* +-> If Yes, then consider using panelQueryRunner/State instead. see:
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* * {@link https://github.com/grafana/grafana/blob/master/public/app/features/dashboard/state/PanelQueryRunner.ts PanelQueryRunner.ts}
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* * {@link https://github.com/grafana/grafana/blob/master/public/app/features/dashboard/state/PanelQueryState.ts PanelQueryState.ts}
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*
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* If you are implementing a simple request-response query,
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* then you can ignore the `observer` entirely.
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*
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* When streaming behavior is required, the Promise can return at any time
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* with empty or partial data in the response and optionally a state.
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* NOTE: The data in this initial response will not be replaced with any
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* data from subsequent events. {@see DataStreamState}
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*
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* The request object will be passed in each observer callback
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* so the callback could assert that the correct events are streaming and
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* unsubscribe if unexpected results are returned.
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*/
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abstract query(options: DataQueryRequest<TQuery>, observer?: DataStreamObserver): Promise<DataQueryResponse>;
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abstract query(request: DataQueryRequest<TQuery>, observer?: DataStreamObserver): Promise<DataQueryResponse>;
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/**
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* Test & verify datasource settings & connection details
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@ -295,7 +315,7 @@ export interface ExploreStartPageProps {
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*/
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export type LegacyResponseData = TimeSeries | TableData | any;
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export type DataQueryResponseData = DataFrameDTO | LegacyResponseData;
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export type DataQueryResponseData = DataFrame | DataFrameDTO | LegacyResponseData;
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export type DataStreamObserver = (event: DataStreamState) => void;
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@ -306,7 +326,25 @@ export interface DataStreamState {
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state: LoadingState;
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/**
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* Consistent key across events.
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* The key is used to identify unique sets of data within
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* a response, and join or replace them before sending them to the panel.
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*
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* For example consider a query that streams four DataFrames (A,B,C,D)
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* and multiple events with keys K1, and K2
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*
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* query(...) returns: {
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* state:Streaming
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* data:[A]
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* }
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*
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* Events:
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* 1. {key:K1, data:[B1]} >> PanelData: [A,B1]
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* 2. {key:K2, data:[C2,D2]} >> PanelData: [A,B1,C2,D2]
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* 3. {key:K1, data:[B3]} >> PanelData: [A,B3,C2,D2]
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* 4. {key:K2, data:[C4]} >> PanelData: [A,B3,C4]
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*
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* NOTE: that PanelData will not report a `Done` state until all
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* unique keys have returned with either `Error` or `Done` state.
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*/
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key: string;
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@ -318,7 +356,9 @@ export interface DataStreamState {
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request: DataQueryRequest;
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/**
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* Data may not be known yet
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* The streaming events return entire DataFrames. The DataSource
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* sending the events is responsible for truncating any growing lists
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* most likely to the requested `maxDataPoints`
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*/
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data?: DataFrame[];
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@ -328,7 +368,12 @@ export interface DataStreamState {
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error?: DataQueryError;
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/**
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* Optionally return only the rows that changed in this event
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* @deprecated: DO NOT USE IN ANYTHING NEW!!!!
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*
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* merging streaming rows should be handled in the DataSource
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* and/or we should add metadata to this state event that
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* indicates that the PanelQueryRunner should manage the row
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* additions.
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*/
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delta?: DataFrame[];
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@ -339,6 +384,10 @@ export interface DataStreamState {
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}
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export interface DataQueryResponse {
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/**
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* The response data. When streaming, this may be empty
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* or a partial result set
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*/
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data: DataQueryResponseData[];
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}
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