stream_read_delta | R Documentation |
Reads a Delta Lake table as a Spark dataframe stream.
stream_read_delta(sc, path, name = NULL, options = list(), ...)
sc |
A |
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. |
Please note that Delta Lake requires installing the appropriate
package by setting the packages
parameter to "delta"
in spark_connect()
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()
## Not run:
library(sparklyr)
sc <- spark_connect(master = "local", version = "2.4.0", packages = "delta")
sdf_len(sc, 5) %>% spark_write_delta(path = "delta-test")
stream <- stream_read_delta(sc, "delta-test") %>%
stream_write_json("json-out")
stream_stop(stream)
## End(Not run)
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