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If the data is not aggregated at a daily level, an event could also be shared at a week, month, year level as well by just defining a startDate and endDate start_date and end_date. Not the startDate and endDate start_date and end_date should cleanly fall in a week, month, year, last 7 days, last 15 days or last 30 days.
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{
"startDatestart_date": "2019-01-01",
"endDateend_date": "2019-02-01",
"grade": 1,
"school_id": 901,
"count": 23
} |
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The following keywords in an event will be treated as special keywords and don’t need to be part of the schema - date, startDate, endDate start_date, end_date, week, month, year and are preferred in the same order. They cannot be mappings to a dimension or dataset.
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const transformer = {
name: "transformer_name",
eventGrammar: "es11", //EventGrammar on which the transformer can act.
datasetGrammar: "ds23", //Dataset that this transformer which modify.
config: {
actor((callback, receivetransform, transformBulk) => {
// manage side effects here
// Examples - logging, pushing to an externa event bus, etc.
callback('SOME_EVENT');
// receive from parent
transform((event: Event) => {
// transform event to dataset; Has access to event and dataset grammars for validation
});
// for speedups
transformtransformBulk((event: Event[]) => {
// transform events to dataset; Has access to event and dataset grammars for validation
});
// disposal
return () => {
/* do cleanup here */
/* push this to dataset */
};
}),
}
}
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