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Code Block
languagejs
firstline1
titleData Lake Result - Draft 1
DataLakeResult {
    measureName: string;
    total: number;
    headers: string[];
	groupingTags: string[];
    data: Map<string, any[]>;
}


PropertyDescription
measureNameIndex of the Measurement Series in Data Lake
totalNumber of entries in data map (corresponds to the number of groups)
headersColumn names contained in the query result
groupingTagsColumn names by which was grouped
data

Actual query results

  • key: matches the form "groupingTag = groupingValue"
  • value: row-by-row query result (each row corresponds to one measurement)

Note: for queries without grouping, "groupingTags" is omitted and a unique default value (to be specified) is used as key for data mapping.

Draft 2

Instead of a simple array as value in data mapping, a dedicated Data Result object is used that contains the number of items within the group in addition to the related query results.

Code Block
languagejs
firstline1
titleData Lake Result - Draft 2
DataLakeResult {
    measureName: string;
    total: number;
    headers: string[];
	groupingTags: string[];
    data: Map<string, DataResult>;
}

DataResult {
	total: number;
	rows: any[];
}


PropertyDescription
measureNameIndex of the Measurement Series in Data Lake
totalNumber of entries in data map (corresponds to the number of groups)
headersColumn names contained in the query result
groupingTagsColumn names by which was grouped
data

Actual query results

  • key: matches the form "groupingTag = groupingValue"
  • value: data result belonging to the group
    • total: number of items in the group.
    • rows: row-by-row query result (each row corresponds to one measurement)

Note: for queries without grouping, "groupingTags" is omitted and a unique default value (to be specified) is used as key for data mapping.