samudzi / lookr

A way to get data from Looker into R without row limits, and send dataframes back to BigQuery for resurfacing within Looker

lookr

A quick way to get data out of Looker without row limits.

Returns a data frame (well actually it's a tibble) with all data from specified Look.

set up

You will first need to create a file ~/.Renviron with the following variables:

LOOKER_API_PATH = 'https://???.looker.com:19999/api/3.0'
LOOKER_CLIENT_ID = '???'
LOOKER_CLIENT_SECRET = '???'

installation

install.packages('devtools')
library('devtools')
install_github('samudzi/lookr')

usage

There are two functions. The first is the runLook Looker API endpoint, styled here as get_look:

library(lookr)

df = get_look(look_id = 123)  # default row limit of 500

df = get_look(look_id = 123, limit = 10000)  # custom row limit

df = get_look(look_id = 123, limit = -1)  # without row limit

The second function allows you to send the results of your analysis back to BigQuery as a net new table. To use this function, you will need to set two global environment variables, datasetid and projectid:

datasetid = <your BQ dataset id>
projectid = <your GC project id>

Once set, you can save your dataframe to a table:

createBigQueryTable(<desired table name>, <name of R dataframe>)