A record batch is a collection of equal-length arrays matching a particular Schema. It is a table-like data structure that is semantically a sequence of fields, each a contiguous Arrow Array.
S3 Methods and Usage
Record batches are data-frame-like, and many methods you expect to work on
a data.frame are implemented for RecordBatch. This includes [, [[,
$, names, dim, nrow, ncol, head, and tail. You can also pull
the data from an Arrow record batch into R with as.data.frame(). See the
examples.
A caveat about the $ method: because RecordBatch is an R6 object,
$ is also used to access the object's methods (see below). Methods take
precedence over the table's columns. So, batch$Slice would return the
"Slice" method function even if there were a column in the table called
"Slice".
R6 Methods
In addition to the more R-friendly S3 methods, a RecordBatch object has
the following R6 methods that map onto the underlying C++ methods:
$Equals(other): ReturnsTRUEif theotherrecord batch is equal$column(i): Extract anArrayby integer position from the batch$column_name(i): Get a column's name by integer position$names(): Get all column names (called bynames(batch))$nbytes(): Total number of bytes consumed by the elements of the record batch$RenameColumns(value): Set all column names (called bynames(batch) <- value)$GetColumnByName(name): Extract anArrayby string name$RemoveColumn(i): Drops a column from the batch by integer position$SelectColumns(indices): Return a new record batch with a selection of columns, expressed as 0-based integers.$Slice(offset, length = NULL): Create a zero-copy view starting at the indicated integer offset and going for the given length, or to the end of the table ifNULL, the default.$Take(i): return anRecordBatchwith rows at positions given by integers (R vector or Array Array)i.$Filter(i, keep_na = TRUE): return anRecordBatchwith rows at positions where logical vector (or Arrow boolean Array)iisTRUE.$SortIndices(names, descending = FALSE): return anArrayof integer row positions that can be used to rearrange theRecordBatchin ascending or descending order by the first named column, breaking ties with further named columns.descendingcan be a logical vector of length one or of the same length asnames.$serialize(): Returns a raw vector suitable for interprocess communication$cast(target_schema, safe = TRUE, options = cast_options(safe)): Alter the schema of the record batch.
There are also some active bindings
$num_columns$num_rows$schema$metadata: Returns the key-value metadata of theSchemaas a named list. Modify or replace by assigning in (batch$metadata <- new_metadata). All list elements are coerced to string. Seeschema()for more information.$columns: Returns a list ofArrays