array_append

Mengembalikan kolom array baru dengan menambahkan nilai ke array yang sudah ada.

Syntax

from pyspark.sql import functions as sf

sf.array_append(col, value)

Parameter-parameternya

Pengaturan	Tipe	Description
col	pyspark.sql.Column atau str	Nama kolom yang berisi array.
value	Apa saja	Nilai harfiah, atau ekspresi Kolom yang akan ditambahkan ke array.

Pengembalian Barang

pyspark.sql.Column: Kolom array baru dengan value ditambahkan ke array asli.

Examples

Contoh 1: Menambahkan nilai kolom ke kolom array

from pyspark.sql import Row, functions as sf
df = spark.createDataFrame([Row(c1=["b", "a", "c"], c2="c")])
df.select(sf.array_append(df.c1, df.c2)).show()

+--------------------+
|array_append(c1, c2)|
+--------------------+
|        [b, a, c, c]|
+--------------------+

Contoh 2: Menambahkan nilai numerik ke kolom array

from pyspark.sql import functions as sf
df = spark.createDataFrame([([1, 2, 3],)], ['data'])
df.select(sf.array_append(df.data, 4)).show()

+---------------------+
|array_append(data, 4)|
+---------------------+
|         [1, 2, 3, 4]|
+---------------------+

Contoh 3: Menambahkan nilai null ke kolom array

from pyspark.sql import functions as sf
df = spark.createDataFrame([([1, 2, 3],)], ['data'])
df.select(sf.array_append(df.data, None)).show()

+------------------------+
|array_append(data, NULL)|
+------------------------+
|         [1, 2, 3, NULL]|
+------------------------+

Contoh 4: Menambahkan nilai ke kolom array NULL

from pyspark.sql import functions as sf
from pyspark.sql.types import ArrayType, IntegerType, StructType, StructField
schema = StructType([
  StructField("data", ArrayType(IntegerType()), True)
])
df = spark.createDataFrame([(None,)], schema=schema)
df.select(sf.array_append(df.data, 4)).show()

+---------------------+
|array_append(data, 4)|
+---------------------+
|                 NULL|
+---------------------+

Contoh 5: Menambahkan nilai ke array kosong

from pyspark.sql import functions as sf
from pyspark.sql.types import ArrayType, IntegerType, StructType, StructField
schema = StructType([
  StructField("data", ArrayType(IntegerType()), True)
])
df = spark.createDataFrame([([],)], schema=schema)
df.select(sf.array_append(df.data, 1)).show()

+---------------------+
|array_append(data, 1)|
+---------------------+
|                  [1]|
+---------------------+