Scanner | R Documentation |
A Scanner
iterates over a Dataset's fragments and returns data
according to given row filtering and column projection. A ScannerBuilder
can help create one.
Scanner$create()
wraps the ScannerBuilder
interface to make a Scanner
.
It takes the following arguments:
dataset
: A Dataset
or arrow_dplyr_query
object, as returned by the
dplyr
methods on Dataset
.
projection
: A character vector of column names to select columns or a
named list of expressions
filter
: A Expression
to filter the scanned rows by, or TRUE
(default)
to keep all rows.
use_threads
: logical: should scanning use multithreading? Default TRUE
...
: Additional arguments, currently ignored
ScannerBuilder
has the following methods:
$Project(cols)
: Indicate that the scan should only return columns given
by cols
, a character vector of column names or a named list of Expression.
$Filter(expr)
: Filter rows by an Expression.
$UseThreads(threads)
: logical: should the scan use multithreading?
The method's default input is TRUE
, but you must call the method to enable
multithreading because the scanner default is FALSE
.
$BatchSize(batch_size)
: integer: Maximum row count of scanned record
batches, default is 32K. If scanned record batches are overflowing memory
then this method can be called to reduce their size.
$schema
: Active binding, returns the Schema of the Dataset
$Finish()
: Returns a Scanner
Scanner
currently has a single method, $ToTable()
, which evaluates the
query and returns an Arrow Table.
# Set up directory for examples
tf <- tempfile()
dir.create(tf)
on.exit(unlink(tf))
write_dataset(mtcars, tf, partitioning="cyl")
ds <- open_dataset(tf)
scan_builder <- ds$NewScan()
scan_builder$Filter(Expression$field_ref("hp") > 100)
scan_builder$Project(list(hp_times_ten = 10 * Expression$field_ref("hp")))
# Once configured, call $Finish()
scanner <- scan_builder$Finish()
# Can get results as a table
as.data.frame(scanner$ToTable())
# Or as a RecordBatchReader
scanner$ToRecordBatchReader()
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