إشعار
يتطلب الوصول إلى هذه الصفحة تخويلاً. يمكنك محاولة تسجيل الدخول أو تغيير الدلائل.
يتطلب الوصول إلى هذه الصفحة تخويلاً. يمكنك محاولة تغيير الدلائل.
Returns all the records in the DataFrame as a list of Row.
Syntax
collect()
Returns
list: A list of Row objects, each representing a row in the DataFrame.
Notes
This method should only be used if the resulting list is expected to be small, as all the data is loaded into the driver's memory.
Examples
df = spark.createDataFrame([(14, "Tom"), (23, "Alice"), (16, "Bob")], ["age", "name"])
df.collect()
# [Row(age=14, name='Tom'), Row(age=23, name='Alice'), Row(age=16, name='Bob')]
df.filter(df.age > 15).collect()
# [Row(age=23, name='Alice'), Row(age=16, name='Bob')]
df.select("name").collect()
# [Row(name='Tom'), Row(name='Alice'), Row(name='Bob')]
from pyspark.sql.functions import upper
df.select(upper(df.name)).collect()
# [Row(upper(name)='TOM'), Row(upper(name)='ALICE'), Row(upper(name)='BOB')]
rows = df.collect()
[row["name"] for row in rows]
# ['Tom', 'Alice', 'Bob']
[row.asDict() for row in rows]
# [{'age': 14, 'name': 'Tom'}, {'age': 23, 'name': 'Alice'}, {'age': 16, 'name': 'Bob'}]