mirror of
https://github.com/apache/superset.git
synced 2026-04-19 08:04:53 +00:00
feat(advanced analysis): support MultiIndex column in post processing stage (#19116)
This commit is contained in:
@@ -18,11 +18,14 @@
|
||||
*/
|
||||
import {
|
||||
buildQueryContext,
|
||||
DTTM_ALIAS,
|
||||
PostProcessingResample,
|
||||
QueryFormData,
|
||||
} from '@superset-ui/core';
|
||||
import { rollingWindowOperator } from '@superset-ui/chart-controls';
|
||||
import {
|
||||
flattenOperator,
|
||||
rollingWindowOperator,
|
||||
sortOperator,
|
||||
} from '@superset-ui/chart-controls';
|
||||
|
||||
const TIME_GRAIN_MAP: Record<string, string> = {
|
||||
PT1S: 'S',
|
||||
@@ -47,12 +50,10 @@ const TIME_GRAIN_MAP: Record<string, string> = {
|
||||
|
||||
export default function buildQuery(formData: QueryFormData) {
|
||||
return buildQueryContext(formData, baseQueryObject => {
|
||||
// todo: move into full advanced analysis section here
|
||||
const rollingProc = rollingWindowOperator(formData, baseQueryObject);
|
||||
if (rollingProc) {
|
||||
rollingProc.options = { ...rollingProc.options, is_pivot_df: false };
|
||||
}
|
||||
const { time_grain_sqla } = formData;
|
||||
let resampleProc: PostProcessingResample | undefined;
|
||||
let resampleProc: PostProcessingResample;
|
||||
if (rollingProc && time_grain_sqla) {
|
||||
const rule = TIME_GRAIN_MAP[time_grain_sqla];
|
||||
if (rule) {
|
||||
@@ -62,7 +63,6 @@ export default function buildQuery(formData: QueryFormData) {
|
||||
method: 'asfreq',
|
||||
rule,
|
||||
fill_value: null,
|
||||
time_column: DTTM_ALIAS,
|
||||
},
|
||||
};
|
||||
}
|
||||
@@ -72,16 +72,10 @@ export default function buildQuery(formData: QueryFormData) {
|
||||
...baseQueryObject,
|
||||
is_timeseries: true,
|
||||
post_processing: [
|
||||
{
|
||||
operation: 'sort',
|
||||
options: {
|
||||
columns: {
|
||||
[DTTM_ALIAS]: true,
|
||||
},
|
||||
},
|
||||
},
|
||||
sortOperator(formData, baseQueryObject),
|
||||
resampleProc,
|
||||
rollingProc,
|
||||
flattenOperator(formData, baseQueryObject),
|
||||
],
|
||||
},
|
||||
];
|
||||
|
||||
@@ -22,7 +22,7 @@ import {
|
||||
QueryObject,
|
||||
normalizeOrderBy,
|
||||
} from '@superset-ui/core';
|
||||
import { pivotOperator } from '@superset-ui/chart-controls';
|
||||
import { flattenOperator, pivotOperator } from '@superset-ui/chart-controls';
|
||||
|
||||
export default function buildQuery(formData: QueryFormData) {
|
||||
const {
|
||||
@@ -66,6 +66,7 @@ export default function buildQuery(formData: QueryFormData) {
|
||||
is_timeseries: true,
|
||||
post_processing: [
|
||||
pivotOperator(formData1, { ...baseQueryObject, is_timeseries: true }),
|
||||
flattenOperator(formData1, { ...baseQueryObject, is_timeseries: true }),
|
||||
],
|
||||
} as QueryObject;
|
||||
return [normalizeOrderBy(queryObjectA)];
|
||||
@@ -77,6 +78,7 @@ export default function buildQuery(formData: QueryFormData) {
|
||||
is_timeseries: true,
|
||||
post_processing: [
|
||||
pivotOperator(formData2, { ...baseQueryObject, is_timeseries: true }),
|
||||
flattenOperator(formData2, { ...baseQueryObject, is_timeseries: true }),
|
||||
],
|
||||
} as QueryObject;
|
||||
return [normalizeOrderBy(queryObjectB)];
|
||||
|
||||
@@ -22,42 +22,54 @@ import {
|
||||
ensureIsArray,
|
||||
QueryFormData,
|
||||
normalizeOrderBy,
|
||||
RollingType,
|
||||
PostProcessingPivot,
|
||||
} from '@superset-ui/core';
|
||||
import {
|
||||
rollingWindowOperator,
|
||||
timeCompareOperator,
|
||||
isValidTimeCompare,
|
||||
sortOperator,
|
||||
pivotOperator,
|
||||
resampleOperator,
|
||||
contributionOperator,
|
||||
prophetOperator,
|
||||
timeComparePivotOperator,
|
||||
flattenOperator,
|
||||
} from '@superset-ui/chart-controls';
|
||||
|
||||
export default function buildQuery(formData: QueryFormData) {
|
||||
const { x_axis, groupby } = formData;
|
||||
const is_timeseries = x_axis === DTTM_ALIAS || !x_axis;
|
||||
return buildQueryContext(formData, baseQueryObject => {
|
||||
const pivotOperatorInRuntime: PostProcessingPivot | undefined =
|
||||
pivotOperator(formData, {
|
||||
...baseQueryObject,
|
||||
index: x_axis,
|
||||
is_timeseries,
|
||||
});
|
||||
if (
|
||||
pivotOperatorInRuntime &&
|
||||
Object.values(RollingType).includes(formData.rolling_type)
|
||||
) {
|
||||
pivotOperatorInRuntime.options = {
|
||||
...pivotOperatorInRuntime.options,
|
||||
...{
|
||||
flatten_columns: false,
|
||||
reset_index: false,
|
||||
},
|
||||
};
|
||||
}
|
||||
/* the `pivotOperatorInRuntime` determines how to pivot the dataframe returned from the raw query.
|
||||
1. If it's a time compared query, there will return a pivoted dataframe that append time compared metrics. for instance:
|
||||
|
||||
MAX(value) MAX(value)__1 year ago MIN(value) MIN(value)__1 year ago
|
||||
city LA LA LA LA
|
||||
__timestamp
|
||||
2015-01-01 568.0 671.0 5.0 6.0
|
||||
2015-02-01 407.0 649.0 4.0 3.0
|
||||
2015-03-01 318.0 465.0 0.0 3.0
|
||||
|
||||
2. If it's a normal query, there will return a pivoted dataframe.
|
||||
|
||||
MAX(value) MIN(value)
|
||||
city LA LA
|
||||
__timestamp
|
||||
2015-01-01 568.0 5.0
|
||||
2015-02-01 407.0 4.0
|
||||
2015-03-01 318.0 0.0
|
||||
|
||||
*/
|
||||
const pivotOperatorInRuntime: PostProcessingPivot = isValidTimeCompare(
|
||||
formData,
|
||||
baseQueryObject,
|
||||
)
|
||||
? timeComparePivotOperator(formData, baseQueryObject)
|
||||
: pivotOperator(formData, {
|
||||
...baseQueryObject,
|
||||
index: x_axis,
|
||||
is_timeseries,
|
||||
});
|
||||
|
||||
return [
|
||||
{
|
||||
@@ -70,13 +82,16 @@ export default function buildQuery(formData: QueryFormData) {
|
||||
time_offsets: isValidTimeCompare(formData, baseQueryObject)
|
||||
? formData.time_compare
|
||||
: [],
|
||||
/* Note that:
|
||||
1. The resample, rolling, cum, timeCompare operators should be after pivot.
|
||||
2. the flatOperator makes multiIndex Dataframe into flat Dataframe
|
||||
*/
|
||||
post_processing: [
|
||||
resampleOperator(formData, baseQueryObject),
|
||||
timeCompareOperator(formData, baseQueryObject),
|
||||
sortOperator(formData, { ...baseQueryObject, is_timeseries: true }),
|
||||
// in order to be able to rolling in multiple series, must do pivot before rollingOperator
|
||||
pivotOperatorInRuntime,
|
||||
rollingWindowOperator(formData, baseQueryObject),
|
||||
timeCompareOperator(formData, baseQueryObject),
|
||||
resampleOperator(formData, baseQueryObject),
|
||||
flattenOperator(formData, baseQueryObject),
|
||||
contributionOperator(formData, baseQueryObject),
|
||||
prophetOperator(formData, baseQueryObject),
|
||||
],
|
||||
|
||||
Reference in New Issue
Block a user