Note
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Interface for saving the content of the streaming DataFrame out into external storage.
Returns
DataStreamWriter
Examples
import time
import tempfile
df = spark.readStream.format("rate").load()
type(df.writeStream)
# <class '...streaming.readwriter.DataStreamWriter'>
with tempfile.TemporaryDirectory(prefix="writeStream") as d:
query = df.writeStream.toTable("my_table", checkpointLocation=d)
time.sleep(3)
query.stop()