library(sparklyr)
<- spark_connect(master = "local", version = "2.4.0", packages = "delta")
sc sdf_len(sc, 5) %>% spark_write_delta(path = "delta-test")
<- stream_read_delta(sc, "delta-test") %>%
stream stream_write_json("json-out")
stream_stop(stream)
Read Delta Stream
R/stream_data.R
stream_read_delta
Description
Reads a Delta Lake table as a Spark dataframe stream.
Usage
stream_read_delta(sc, path, name = NULL, options = list(), ...)
Arguments
Arguments | Description |
---|---|
sc | A spark_connection . |
path | The path to the file. Needs to be accessible from the cluster. Supports the "hdfs://" , "s3a://" and "file://" protocols. |
name | The name to assign to the newly generated stream. |
options | A list of strings with additional options. |
… | Optional arguments; currently unused. |
Details
Please note that Delta Lake requires installing the appropriate package by setting the packages
parameter to "delta"
in spark_connect()
Examples
See Also
Other Spark stream serialization: stream_read_csv()
, stream_read_json()
, stream_read_kafka()
, stream_read_orc()
, stream_read_parquet()
, stream_read_socket()
, stream_read_text()
, stream_write_console()
, stream_write_csv()
, stream_write_delta()
, stream_write_json()
, stream_write_kafka()
, stream_write_memory()
, stream_write_orc()
, stream_write_parquet()
, stream_write_text()