我假设您使用的是 Spark DataFrame,而不是 RDD。需要注意的一点是,您可以直接在 DataFrame 上运行 SQL 查询:
# register the DataFrame so we can refer to it in queries
sqlContext.registerDataFrameAsTable(df, "df")
# put your SQL query in a string
query = """SELECT CASE WHEN
df.number IN ('1121231', '31242323') THEN 1 ELSE 2 END AS test
FROM df"""
result = sqlContext.sql(query)
result.show()
您还可以select
通过创建模仿查询的 case 语句的用户定义函数来使用:
from pyspark.sql.types import *
from pyspark.sql.functions import udf
# need to pass inner function through udf() so it can operate on Columns
# also need to specify return type
column_in_list = udf(
lambda column: 1 if column in ['1121231', '31242323'] else 2,
IntegerType()
)
# call function on column, name resulting column "transformed"
result = df.select(column_in_list(df.number).alias("transformed"))
result.show()