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# Flight
## Introduction
Flight is a general-purpose client-server framework for high performance
transport of large datasets over network interfaces, built as part of the
Apache Arrow project.
Flight allows for highly efficient data transfer as it:
* removes the need for serialization during data transfer
* allows for parallel data streaming
* is highly optimized to take advantage of Arrow’s columnar format.
The arrow package provides methods for connecting to Flight RPC servers to send
and receive data.
It should be noted that the Flight implementation in the R package depends on
[PyArrow](https://arrow.apache.org/docs/python/) which is called via
[reticulate](https://rstudio.github.io/reticulate/). This is quite different
from the other capabilities in the R package, nearly all of which are all
implemented directly.
## Connect to a Flight server
You want to connect to a Flight server running on a specified host and port.
### Solution
```{r, eval = FALSE}
local_client <- flight_connect(host = "127.0.0.1", port = 8089)
```
### See also
For an example of how to set up a Flight server from R, see
[the Flight vignette](https://arrow.apache.org/docs/r/articles/flight.html).
## Send data to a Flight server
You want to send data that you have in memory to a Flight server
### Solution
```{r, eval = FALSE}
# Connect to the Flight server
local_client <- flight_connect(host = "127.0.0.1", port = 8089)
# Send the data
flight_put(
local_client,
data = airquality,
path = "pollution_data"
)
```
## Check what resources exist on a Flight server
You want to see what paths are available on a Flight server.
### Solution
```{r, eval = FALSE}
# Connect to the Flight server
local_client <- flight_connect(host = "127.0.0.1", port = 8089)
# Retrieve path listing
list_flights(local_client)
```
```{r}
# [1] "pollution_data"
```
## Retrieve data from a Flight server
You want to retrieve data on a Flight server from a specified path.
### Solution
```{r, eval = FALSE}
# Connect to the Flight server
local_client <- flight_connect(host = "127.0.0.1", port = 8089)
# Retrieve data
flight_get(
local_client,
"pollution_data"
)
```
```{r, eval = FALSE}
# Table
# 153 rows x 6 columns
# $Ozone <int32>
# $Solar.R <int32>
# $Wind <double>
# $Temp <int32>
# $Month <int32>
# $Day <int32>
#
# See $metadata for additional Schema metadata
```