Commit ca778363 by Ryan McKinley Committed by GitHub

Streaming: improve JSDocs for DataSourceAPI streaming support (#18672)

parent 6d3a05a0
......@@ -148,6 +148,9 @@ export interface DataSourceConstructor<
/**
* The main data source abstraction interface, represents an instance of a data source
*
* Although this is a class, datasource implementations do not *yet* need to extend it.
* As such, we can not yet add functions with default implementations.
*/
export abstract class DataSourceApi<
TQuery extends DataQuery = DataQuery,
......@@ -184,9 +187,26 @@ export abstract class DataSourceApi<
init?: () => void;
/**
* Main metrics / data query action
*/
abstract query(options: DataQueryRequest<TQuery>, observer?: DataStreamObserver): Promise<DataQueryResponse>;
* Query for data, and optionally stream results to an observer.
*
* Are you reading these docs aiming to execute a query?
* +-> If Yes, then consider using panelQueryRunner/State instead. see:
* * {@link https://github.com/grafana/grafana/blob/master/public/app/features/dashboard/state/PanelQueryRunner.ts PanelQueryRunner.ts}
* * {@link https://github.com/grafana/grafana/blob/master/public/app/features/dashboard/state/PanelQueryState.ts PanelQueryState.ts}
*
* If you are implementing a simple request-response query,
* then you can ignore the `observer` entirely.
*
* When streaming behavior is required, the Promise can return at any time
* with empty or partial data in the response and optionally a state.
* NOTE: The data in this initial response will not be replaced with any
* data from subsequent events. {@see DataStreamState}
*
* The request object will be passed in each observer callback
* so the callback could assert that the correct events are streaming and
* unsubscribe if unexpected results are returned.
*/
abstract query(request: DataQueryRequest<TQuery>, observer?: DataStreamObserver): Promise<DataQueryResponse>;
/**
* Test & verify datasource settings & connection details
......@@ -295,7 +315,7 @@ export interface ExploreStartPageProps {
*/
export type LegacyResponseData = TimeSeries | TableData | any;
export type DataQueryResponseData = DataFrameDTO | LegacyResponseData;
export type DataQueryResponseData = DataFrame | DataFrameDTO | LegacyResponseData;
export type DataStreamObserver = (event: DataStreamState) => void;
......@@ -306,7 +326,25 @@ export interface DataStreamState {
state: LoadingState;
/**
* Consistent key across events.
* The key is used to identify unique sets of data within
* a response, and join or replace them before sending them to the panel.
*
* For example consider a query that streams four DataFrames (A,B,C,D)
* and multiple events with keys K1, and K2
*
* query(...) returns: {
* state:Streaming
* data:[A]
* }
*
* Events:
* 1. {key:K1, data:[B1]} >> PanelData: [A,B1]
* 2. {key:K2, data:[C2,D2]} >> PanelData: [A,B1,C2,D2]
* 3. {key:K1, data:[B3]} >> PanelData: [A,B3,C2,D2]
* 4. {key:K2, data:[C4]} >> PanelData: [A,B3,C4]
*
* NOTE: that PanelData will not report a `Done` state until all
* unique keys have returned with either `Error` or `Done` state.
*/
key: string;
......@@ -318,7 +356,9 @@ export interface DataStreamState {
request: DataQueryRequest;
/**
* Data may not be known yet
* The streaming events return entire DataFrames. The DataSource
* sending the events is responsible for truncating any growing lists
* most likely to the requested `maxDataPoints`
*/
data?: DataFrame[];
......@@ -328,7 +368,12 @@ export interface DataStreamState {
error?: DataQueryError;
/**
* Optionally return only the rows that changed in this event
* @deprecated: DO NOT USE IN ANYTHING NEW!!!!
*
* merging streaming rows should be handled in the DataSource
* and/or we should add metadata to this state event that
* indicates that the PanelQueryRunner should manage the row
* additions.
*/
delta?: DataFrame[];
......@@ -339,6 +384,10 @@ export interface DataStreamState {
}
export interface DataQueryResponse {
/**
* The response data. When streaming, this may be empty
* or a partial result set
*/
data: DataQueryResponseData[];
}
......
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