druid.query.topN: Query to find the topN dimension values of a datasource

In druid-io/RDruid: Druid connector for R

Description

For a particular datasource, find the top n dimension values for a given metric

Usage

druid.query.topN(url = druid.url(), dataSource, intervals, aggregations,
  filter = NULL, granularity = "all", postAggregations = NULL, n,
  dimension, metric, context = NULL, rawData = F, verbose = F, ...)

Arguments

url	URL to connect to druid, defaults to druid.url()
dataSource	name of the data source to query
intervals	the time period to retrieve data for as an interval or list of interval objects
aggregations	list of metric aggregations to compute for this datasource
filter	The filter specifying the subset of the data to extract.
granularity	time granularity for finding topN values, can be "all", "day", "hour", "minute".
postAggregations	Further operations to perform after the data has been filtered and aggregated.
n	The number of dimensions to return
dimension	name of the dimension over which to compute top N
metric	name of the metric (aggregation) used to rank values in top N
rawData	boolean indicating whether or not to return the JSON in a list before converting to a data frame
verbose	prints out the JSON query sent to druid

Value

Returns a dataframe with the largest values of the dimension, as well as the requested metrics

See Also

druid.query.timeseries druid.query.groupBy

druid-io/RDruid documentation built on May 15, 2019, 2:54 p.m.