Read Delta Stream
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.