Pastaba.
Prieigai prie šio puslapio reikalingas įgaliojimas. Galite bandyti prisijungti arba pakeisti katalogus.
Prieigai prie šio puslapio reikalingas įgaliojimas. Galite bandyti pakeisti katalogus.
Saves the content of the DataFrame in JSON format (JSON Lines / newline-delimited JSON) at the specified path.
Syntax
json(path, mode=None, compression=None, dateFormat=None, timestampFormat=None,
lineSep=None, encoding=None, ignoreNullFields=None)
Parameters
| Parameter | Type | Description |
|---|---|---|
path |
str | The path in any Hadoop-supported file system. |
mode |
str, optional | The behavior when data already exists. Accepted values are 'append', 'overwrite', 'ignore', and 'error' or 'errorifexists' (default). |
Returns
None
Examples
Write a DataFrame into a JSON file and read it back.
import tempfile
with tempfile.TemporaryDirectory(prefix="json") as d:
spark.createDataFrame(
[{"age": 100, "name": "Alice"}]
).write.json(d, mode="overwrite")
spark.read.format("json").load(d).show()
# +---+------------+
# |age| name|
# +---+------------+
# |100|Alice|
# +---+------------+