py function in pyspark shell

Surya767 — Tue, 21 Apr 2026 07:57:13 GMT

I have written python function and run in pyspark - cloudera shell but it throwing error while running it. But when I run the same function in my pyspark - local shell it's working perfectly fine.

Complete Code:

from pyspark.sql.functions import *

df=spark.createDataFrame([
('America/New_York','2020-02-01 10:00:00')
,('Europe/Lisbon','2020-02-01 10:00:00')
,('Europe/Madrid','2020-02-01 10:00:00')
,('Europe/London', '2020-02-01 10:00:00')
,('America/Sao_Paulo', '2020-02-01 10:00:00')
]
,["OriginTz","Time"])

df2=spark.createDataFrame([
('Africa/Nairobi', '2020-02-01 10:00:00')
,('Asia/Damascus', '2020-02-01 10:00:00')
,('Asia/Singapore', '2020-02-01 10:00:00')
,('Atlantic/Bermuda','2020-02-01 10:00:00')
,('Canada/Mountain','2020-02-01 10:00:00')
,('Pacific/Tahiti','2020-02-01 10:00:00')
]
,["OriginTz", "Time"])

df.createOrReplaceTempView("test")
df2.createOrReplaceTempView("test2")

tables = ["test", "test2"]

frames = list(range(0,2))

def hive_read_func(tables, frames):
for table, frame in zip(tables, frames):
globals()["dtf"+str(frame)] = eval(f'spark.sql("select * from {table}")')

hive_read_func(tables, frames)

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when I run the function hive_read_func in cloudera getting below error:

function in cloudera but when I run in my local system its running perfectly fine:

same function in local system

can some one please look into this and help me to solve

Re: py function in pyspark shell

Surya767 — Tue, 26 Apr 2022 09:42:17 GMT

I got the answer myself: this is because of version f-string is available after python 3.1 but I run it in python version 2.6. so got error, now I rewrite the function with out f-string:

def hive_read_func(tables, frames):
for table, frame in zip(tables, frames):
inner_code = "select * from"+" "+ str(table)
globals()["dttf"+str(frame)] = spark.sql(inner_code)

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py function in pyspark shell

Re: py function in pyspark shell