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.)
max_pages: (IGNORED) maximum pages returned by a query
Examples
## Not run:library(dplyr)# To run this example, replace billing with the id of one of your projects# set up for billingcon <- 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)