map_values

Mengembalikan array yang tidak diurutkan yang berisi nilai peta.

Syntax

from pyspark.sql import functions as sf

sf.map_values(col)

Parameter-parameternya

Pengaturan	Tipe	Description
col	pyspark.sql.Column atau str	Nama kolom atau ekspresi

Pengembalian Barang

pyspark.sql.Column: Nilai peta sebagai array.

Examples

Contoh 1: Mengekstrak nilai dari peta sederhana

from pyspark.sql import functions as sf
df = spark.sql("SELECT map(1, 'a', 2, 'b') as data")
df.select(sf.sort_array(sf.map_values("data"))).show()

+----------------------------------+
|sort_array(map_values(data), true)|
+----------------------------------+
|                            [a, b]|
+----------------------------------+

Contoh 2: Mengekstrak nilai dari peta dengan nilai kompleks

from pyspark.sql import functions as sf
df = spark.sql("SELECT map(1, array('a', 'b'), 2, array('c', 'd')) as data")
df.select(sf.sort_array(sf.map_values("data"))).show()

+----------------------------------+
|sort_array(map_values(data), true)|
+----------------------------------+
|                  [[a, b], [c, d]]|
+----------------------------------+

Contoh 3: Mengekstrak nilai dari peta dengan nilai null

from pyspark.sql import functions as sf
df = spark.sql("SELECT map(1, null, 2, 'b') as data")
df.select(sf.sort_array(sf.map_values("data"))).show()

+----------------------------------+
|sort_array(map_values(data), true)|
+----------------------------------+
|                         [NULL, b]|
+----------------------------------+

Contoh 4: Mengekstrak nilai dari peta dengan nilai duplikat

from pyspark.sql import functions as sf
df = spark.sql("SELECT map(1, 'a', 2, 'a') as data")
df.select(sf.map_values("data")).show()

+----------------+
|map_values(data)|
+----------------+
|          [a, a]|
+----------------+

Contoh 5: Mengekstrak nilai dari peta kosong

from pyspark.sql import functions as sf
df = spark.sql("SELECT map() as data")
df.select(sf.map_values("data")).show()

+----------------+
|map_values(data)|
+----------------+
|              []|
+----------------+