json="""[{"transaction_id":"F6001EC5-528196D1","corrects_transaction_id":null,"transaction_type":"Call","original_order_id":"F6001EC5-528196D1","advertiser_campaign_id":"9528415"}, {"transaction_id":"119F26CF-2304AAE6","corrects_transaction_id":null,"transaction_type":"Call","original_order_id":"119F26CF-2304AAE6","advertiser_campaign_id":"9528009"}]"""

df=spark.createDataFrame([[json]],['json_str'])

from pyspark.sql.types import *
from pyspark.sql import functions as F

json_schema=ArrayType(StructType([ StructField("transaction_id", StringType())]))

df2 = df.withColumn("json",F.explode(F.from_json("json_str",json_schema)))
df2.display()