Bemærk
Adgang til denne side kræver godkendelse. Du kan prøve at logge på eller ændre mapper.
Adgang til denne side kræver godkendelse. Du kan prøve at ændre mapper.
Sorts the output in each bucket by the given columns on the file system.
Syntax
sortBy(col, *cols)
Parameters
| Parameter | Type | Description |
|---|---|---|
col |
str, tuple, or list | A column name, or a list of names. |
*cols |
str, optional | Additional column names. Must be empty if col is a list. |
Returns
DataFrameWriter
Examples
Write a DataFrame into a sorted-bucketed table, and read it back.
spark.sql("DROP TABLE IF EXISTS sorted_bucketed_table")
spark.createDataFrame([
(100, "Alice"), (120, "Alice"), (140, "Bob")],
schema=["age", "name"]
).write.bucketBy(1, "name").sortBy("age").mode(
"overwrite").saveAsTable("sorted_bucketed_table")
spark.read.table("sorted_bucketed_table").sort("age").show()
# +---+------------+
# |age| name|
# +---+------------+
# |100|Alice|
# |120|Alice|
# |140| Bob|
# +---+------------+
spark.sql("DROP TABLE sorted_bucketed_table")