A BigQuery data source for dplyr.
Create the connection to the database with DBI::dbConnect() then
use dplyr::tbl() to connect to tables within that database. Generally,
it's best to provide the fully qualified name of the table (i.e.
project.dataset.table) but if you supply a default dataset in the
connection, you can use just the table name. (This, however, will
prevent you from making joins across datasets.)
src_bigquery(project, dataset, billing = project, max_pages = 10)
project |
project id or name |
dataset |
dataset name |
billing |
billing project, if different to |
max_pages |
(IGNORED) maximum pages returned by a query |
## Not run:
library(dplyr)
# To run this example, replace billing with the id of one of your projects
# set up for billing
con <- DBI::dbConnect(bigquery(), project = bq_test_project())
shakespeare <- con %>% tbl("publicdata.samples.shakespeare")
shakespeare
shakespeare %>%
group_by(word) %>%
summarise(n = sum(word_count, na.rm = TRUE)) %>%
arrange(desc(n))
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.