Compute results of a query

These are methods for the dplyr generics dplyr::collapse(), dplyr::compute(), and dplyr::collect(). collapse() creates a subquery, compute() stores the results in a remote table, and collect() executes the query and downloads the data into R.

# S3 method for class 'tbl_sql'
collapse(x, ...)

# S3 method for class 'tbl_sql'
compute(
  x,
  name = NULL,
  temporary = TRUE,
  unique_indexes = list(),
  indexes = list(),
  analyze = TRUE,
  ...,
  cte = FALSE
)

# S3 method for class 'tbl_sql'
collect(x, ..., n = Inf, warn_incomplete = TRUE, cte = FALSE)

Arguments

x

A lazy data frame backed by a database query.

...

other parameters passed to methods.

name

Table name in remote database.

temporary

Should the table be temporary (TRUE, the default) or persistent (FALSE)?

unique_indexes

a list of character vectors. Each element of the list will create a new unique index over the specified column(s). Duplicate rows will result in failure.

indexes

a list of character vectors. Each element of the list will create a new index.

analyze

if TRUE (the default), will automatically ANALYZE the new table so that the query optimiser has useful information.

cte

Use common table expressions in the generated SQL?

n

Number of rows to fetch. Defaults to Inf, meaning all rows.

warn_incomplete

Warn if n is less than the number of result rows?

Examples

library(dplyr, warn.conflicts = FALSE)

db <- memdb_frame(a = c(3, 4, 1, 2), b = c(5, 1, 2, NA))
db %>% filter(a <= 2) %>% collect()
#> # A tibble: 2 × 2
#>       a     b
#>   <dbl> <dbl>
#> 1     1     2
#> 2     2    NA