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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")