Apache Arrow 定义了两种用于序列化进程间通信 (IPC) 数据的格式：一种是“流”格式，另一种是“文件”格式，称为 Feather。RecordBatchStreamWriter 和 RecordBatchFileWriter 分别是用于将记录批写入这些格式的接口。
有关如何使用这些类的指南，请参阅示例部分。
工厂
RecordBatchFileWriter$create() 和 RecordBatchStreamWriter$create() 工厂方法实例化对象并采用以下参数
sink一个OutputStreamschema要写入数据的Schemause_legacy_format逻辑值：写入格式化的数据，以便 Arrow 库版本 0.14 及更低版本可以读取它。默认值为FALSE。您还可以通过设置环境变量ARROW_PRE_0_15_IPC_FORMAT=1来启用此功能。metadata_version：一个类似于“V5”的字符串或表示 Arrow IPC MetadataVersion 的等效整数。默认值 (NULL) 将使用最新版本，除非环境变量ARROW_PRE_1_0_METADATA_VERSION=1，在这种情况下它将为 V4。
方法
$write(x)：写入RecordBatch、Table 或data.frame，适当地分派到以下方法$write_batch(batch)：将RecordBatch写入流$write_table(table)：将Table写入流$close()：关闭流。请注意，这表示文件结尾或流结尾——它不会关闭与sink的连接。那需要单独关闭。
另请参阅
write_ipc_stream() 和 write_feather() 为将数据写入这些格式提供了更简单的接口，并且足以满足许多用例。write_to_raw() 是将数据序列化到缓冲区的版本。
示例
tf <- tempfile()
on.exit(unlink(tf))
batch <- record_batch(chickwts)
# This opens a connection to the file in Arrow
file_obj <- FileOutputStream$create(tf)
# Pass that to a RecordBatchWriter to write data conforming to a schema
writer <- RecordBatchFileWriter$create(file_obj, batch$schema)
writer$write(batch)
# You may write additional batches to the stream, provided that they have
# the same schema.
# Call "close" on the writer to indicate end-of-file/stream
writer$close()
# Then, close the connection--closing the IPC message does not close the file
file_obj$close()
# Now, we have a file we can read from. Same pattern: open file connection,
# then pass it to a RecordBatchReader
read_file_obj <- ReadableFile$create(tf)
reader <- RecordBatchFileReader$create(read_file_obj)
# RecordBatchFileReader knows how many batches it has (StreamReader does not)
reader$num_record_batches
#> [1] 1
# We could consume the Reader by calling $read_next_batch() until all are,
# consumed, or we can call $read_table() to pull them all into a Table
tab <- reader$read_table()
# Call as.data.frame to turn that Table into an R data.frame
df <- as.data.frame(tab)
# This should be the same data we sent
all.equal(df, chickwts, check.attributes = FALSE)
#> [1] TRUE
# Unlike the Writers, we don't have to close RecordBatchReaders,
# but we do still need to close the file connection
read_file_obj$close()