Databricks Community

Pravin08 · ‎03-05-2024

Hi,

This is my sample JSON data which is generated from api response and it is all coming in a single row. I want to split this in multiple rows and store it in a dataframe.

[{"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"}]

I want to store it in multiple rows like below, both the key and the values. --

{"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"}

Appreciate your help.

feiyun0112 · ‎03-05-2024

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()

View solution in original post

feiyun0112 · ‎03-05-2024

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()

Pravin08 · ‎03-06-2024

Thanks a lot for your prompt response. The solution recommended worked and produced the desired results. Once again, I appreciate your help !!!

Pravin08 · ‎03-06-2024

This solution is working fine on this sample data. But when I implement on the actual api response, the dataframe which gets produced has no data even though I am able to print the response.text and see the data.

This is how I am creating the dataframe

response_text = response.text ; storing the api response in a variable

unparsed_df = spark.createDataFrame([[response_text]],['json_str'])

print (response_text) --- This prints the data

feiyun0112 · ‎03-06-2024

please give a sample of response_text

Pravin08 · ‎03-06-2024

Here' a sample row --

[{"transaction_id":"F6001EC5-528196D1","corrects_transaction_id":null,"transaction_type":"Call","original_order_id":"F6001EC5-528196D1","advertiser_campaign_id":"9528415","advertiser_campaign_id_from_network":"9528415","advertiser_campaign_name":"xxxxx","media_type":"Online: Other","call_source_description":"386-749-8349","syndicated_ident":"","promo_line_description":"DAY: OBE xxxx Business Listing","virtual_line_id":"22949255","call_result_description_detail_managed_advertiser":"Profile Promo Number","city":"xxxxx","region":"FL","qualified_regions":"any","repeat_calling_phone_number":"No","calling_phone_number":"xxx-289-xxxx","mobile":"Mobile","duration":1,"connect_duration":0,"ivr_duration":1,"keypresses":"","keypress_1":"","keypress_2":"","keypress_3":"","keypress_4":"","dynamic_number_pool_referrer_search_engine":null,"dynamic_number_pool_referrer_search_keywords_id":"","dynamic_number_pool_referrer_search_keywords":"","dynamic_number_pool_referrer_ad":"","dynamic_number_pool_referrer_ad_id":"","dynamic_number_pool_referrer_ad_group":"","dynamic_number_pool_referrer_ad_group_id":"","dynamic_number_pool_referrer_referrer_campaign":"","dynamic_number_pool_referrer_referrer_campaign_id":"","dynamic_number_pool_referrer_keyword_match_type":null,"dynamic_number_pool_referrer_param1_name":null,"dynamic_number_pool_referrer_param1_value":null,"dynamic_number_pool_referrer_param2_name":null,"dynamic_number_pool_referrer_param2_value":null,"dynamic_number_pool_referrer_param3_name":null,"dynamic_number_pool_referrer_param3_value":null,"dynamic_number_pool_referrer_param4_name":null,"dynamic_number_pool_referrer_param4_value":null,"dynamic_number_pool_referrer_param5_name":null,"dynamic_number_pool_referrer_param5_value":null,"dynamic_number_pool_referrer_param6_name":null,"dynamic_number_pool_referrer_param6_value":null,"dynamic_number_pool_referrer_param7_name":null,"dynamic_number_pool_referrer_param7_value":null,"dynamic_number_pool_referrer_param8_name":null,"dynamic_number_pool_referrer_param8_value":null,"dynamic_number_pool_referrer_param9_name":null,"dynamic_number_pool_referrer_param9_value":null,"dynamic_number_pool_referrer_param10_name":null,"dynamic_number_pool_referrer_param10_value":null,"dynamic_number_pool_referrer_search_type":null,"dynamic_number_pool_pool_type":null,"dynamic_number_pool_id":null,"start_time_local":"2024-02-13 22:21:18 -05:00","start_time_xml":"2024-02-13T22:21:18","start_time_utc":1707880878627,"start_time_network_timezone":"2024-02-13 22:21:18 -05:00","start_time_network_timezone_xml":"2024-02-13T22:21:18","recording":null,"corrected_at":null,"opt_in_SMS":0,"complete_call_id":"F300-1E5E5784C609","transfer_from_type":"Profile Direct","notes":"","verified_zip":"","hangup_cause":"Caller: Hang-up","Answered by Agent":0,"Not Answered by Agent":1,"Answered by Voicemail":0,"Voicemail Left":0,"English Existing Patient":null,"English Prospect":null,"Spanish Existing Patient":null,"Spanish Prospect":null,"Likely New Patient Appointment":0,"Repeat Caller":0,"CWHH Likely Referral":null,"CWHH Ortho Likely Referral":null,"Closed - Converted":null,"CWHH Ortho Call (web page calls)":null,"New Lead":null,"Outreach - Attempted":null,"Outreach - Engaged":null,"Tour Scheduled":null,"PCP Appointment Scheduled":null,"Closed - Not Converted":null,"Destination: Number Not in Service":null,"invoca_id":null,"invoca_detected_destination":null,"gclid":null,"g_cid":null,"wbraid":null,"msclkid":null,"mcid":null,"existing_destination_english":"xxx-506-xxxx","new_destination_spanish":"xxx-388-xxxx","invoca_campaign_name":"xxxxxx","existing_destination_spanish":"xxx-506-xxxx","new_destination_english":"xxx-388-xxxx","call_flow":"GENESYS Daytona: Ormond Beach ENG/SPA Generic Call Menu","direct_dial":null,"timing":"Evergreen","language":"English/Spanish","audience_type":"Prospects","asset_type":"Tracked Number","year":null,"hh_destination":null,"sfcid":null,"report_suite":null,"customer_id":null,"adobe_org_id":null,"landing_page":null,"utm_medium":"Business Listings","utm_source":"GMB","utm_campaign":null,"utm_content":null,"calling_page":null,"cm_mmc":null,"kc":null,"e_dins":null,"state":"xxxxxx","center_entity":"3638","center_code":"OBE","center_name":null,"market":"xxxxx, Daytona","funding_type":"Acquisition","sub_funding_type":"Engagement","brand":"xxxxx Care Center","signal_name":"Not Answered by Agent","signal_partner_unique_id":"","signal_occurred_at":"2024-02-13 22:21:18 -05:00","signal_source":"","revenue":null,"sale_amount":null,"destination_phone_number":""}]

If I pass this sample value and then createdataframe out of it, then the rest of the steps are working fine but then there is no data. Sharing the code snippet below

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

unparsed_df.display()

from pyspark.sql.types import *

from pyspark.sql import functions as F

from datetime import datetime

json_schema = ArrayType(

StructType([ StructField("transaction_id", StringType()),

StructField("corrects_transaction_id", StringType()),

StructField("transaction_type", StringType()),

StructField("original_order_id", StringType()),

StructField("advertiser_campaign_id", StringType()),

StructField("advertiser_campaign_id_from_network", StringType()),

StructField("advertiser_campaign_name", StringType()),

StructField("media_type", StringType()),

StructField("call_source_description", StringType()),

StructField("syndicated_ident", StringType()),

StructField("promo_line_description", StringType()),

StructField("virtual_line_id", StringType()),

StructField("call_result_description_detail_managed_advertiser", StringType()),

StructField("city", StringType()),

StructField("region", StringType()),

StructField("qualified_regions", StringType()),

StructField("repeat_calling_phone_number", StringType()),

StructField("calling_phone_number", StringType()),

StructField("mobile", StringType()),

StructField("duration", IntegerType()),

StructField("connect_duration", IntegerType()),

StructField("ivr_duration",IntegerType()),

StructField("keypresses", StringType()),

StructField("keypress_1", StringType()),

StructField("keypress_2", StringType()),

StructField("keypress_3", StringType()),

StructField("keypress_4", StringType()),

StructField("dynamic_number_pool_referrer_search_engine", StringType()),

StructField("dynamic_number_pool_referrer_search_keywords", StringType()),

StructField("dynamic_number_pool_referrer_param1_name", StringType()),

StructField("dynamic_number_pool_referrer_param1_value", StringType()),

StructField("dynamic_number_pool_referrer_param2_name", StringType()),

StructField("dynamic_number_pool_referrer_param2_value", StringType()),

StructField("dynamic_number_pool_referrer_param3_name", StringType()),

StructField("dynamic_number_pool_referrer_param3_value", StringType()),

StructField("dynamic_number_pool_referrer_param4_name", StringType()),

StructField("dynamic_number_pool_referrer_param4_value", StringType()),

StructField("dynamic_number_pool_referrer_param5_name", StringType()),

StructField("dynamic_number_pool_referrer_param5_value", StringType()),

StructField("dynamic_number_pool_referrer_param6_name", StringType()),

StructField("dynamic_number_pool_referrer_param6_value", StringType()),

StructField("dynamic_number_pool_referrer_param7_name", StringType()),

StructField("dynamic_number_pool_referrer_param7_value", StringType()),

StructField("dynamic_number_pool_referrer_param8_name", StringType()),

StructField("dynamic_number_pool_referrer_param8_value", StringType()),

StructField("dynamic_number_pool_referrer_param9_name", StringType()),

StructField("dynamic_number_pool_referrer_param9_value", StringType()),

StructField("dynamic_number_pool_referrer_param10_name", StringType()),

StructField("dynamic_number_pool_referrer_param10_value", StringType()),

StructField("dynamic_number_pool_referrer_search_type", StringType()),

StructField("dynamic_number_pool_pool_type", StringType()),

StructField("dynamic_number_pool_id", FloatType()),

StructField("start_time_local", StringType()),

StructField("start_time_xml", StringType()),

StructField("start_time_utc", IntegerType()),

StructField("start_time_network_timezone", StringType()),

StructField("start_time_network_timezone_xml", StringType()),

StructField("recording", StringType()),

StructField("corrected_at", StringType()),

StructField("opt_in_SMS", IntegerType()),

StructField("complete_call_id", StringType()),

StructField("transfer_from_type", StringType()),

StructField("notes", StringType()),

StructField("verified_zip", StringType()),

StructField("hangup_cause", StringType()),

StructField("Answered by Agent", IntegerType()),

StructField("Not Answered by Agent", IntegerType()),

StructField("Answered by Voicemail", IntegerType()),

StructField("Voicemail Left", IntegerType()),

StructField("English Existing Patient", FloatType()),

StructField("English Prospect", FloatType()),

StructField("Spanish Existing Patient", StringType()),

StructField("Spanish Prospect", FloatType()),

StructField("Likely New Patient Appointment", FloatType()),

StructField("Repeat Caller",FloatType()),

StructField("invoca_id", StringType()),

StructField("invoca_detected_destination", StringType()),

StructField("gclid", StringType()),

StructField("g_cid", StringType()),

StructField("wbraid", StringType()),

StructField("msclkid", StringType()),

StructField("mcid", StringType()),

StructField("existing_destination_english", StringType()),

StructField("new_destination_spanish", StringType()),

StructField("invoca_campaign_name", StringType()),

StructField("existing_destination_spanish", StringType()),

StructField("new_destination_english", StringType()),

StructField("call_flow", StringType()),

StructField("direct_dial", StringType()),

StructField("timing", StringType()),

StructField("language", StringType()),

StructField("audience_type", StringType()),

StructField("asset_type", StringType()),

StructField("year", StringType()),

StructField("hh_destination", StringType()),

StructField("sfcid", StringType()),

StructField("landing_page", StringType()),

StructField("utm_medium", StringType()),

StructField("utm_source", StringType()),

StructField("utm_campaign", StringType()),

StructField("utm_content", StringType()),

StructField("calling_page", StringType()),

StructField("cm_mmc", StringType()),

StructField("kc", StringType()),

StructField("e_dins", StringType()),

StructField("state", StringType()),

StructField("center_entity", StringType()),

StructField("center_code", StringType()),

StructField("center_name", StringType()),

StructField("market", StringType()),

StructField("funding_type", StringType()),

StructField("sub_funding_type", StringType()),

StructField("brand", StringType()),

StructField("signal_name", StringType()),

StructField("signal_partner_unique_id", StringType()),

StructField("signal_occurred_at", StringType()),

StructField("signal_source", StringType()),

StructField("revenue", StringType()),

StructField("sale_amount", StringType()),

StructField("destination_phone_number", StringType())

]))

invoca_api_transactions_pco_df = unparsed_df.withColumn("filename",F.lit((f"invoca_api_transactions_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"))) \

.withColumn("contents",F.explode(F.from_json("json_str",json_schema))) \

.withColumn("load_ts",F.lit(datetime.now()))

invoca_api_transactions_pco_df.display()

feiyun0112 · ‎03-06-2024

I test the sample is work fine, please check you your unparsed_df and parsed_df

Pravin08 · ‎03-06-2024

Yeah, I am working on the same. It is not throwing any error but also not producing any data in the dataframe.

unparsed_df is created from the sample json data

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

Pravin08 · ‎03-07-2024

Can the admin please delete the post where in I am sharing the sample data. Dont want to share it in the public domain. Admin please help with this.

Pravin08 · ‎03-06-2024

Sharing the code snippet where I am just working on a part of the data with few fields. As you will see that display shows "query returned no results".

feiyun0112 · ‎03-06-2024

it's not a valid json

Pravin08 · ‎03-06-2024

Yeah, that was an error while copying the data. I have fixed that and it seems to work but when I am working with the full JSON data and JSON schema as shared earlier , it is not producing any data. Thanks once again for your help.

feiyun0112 · ‎03-06-2024

your data is

"start_time_utc": 1707880878627,

but your schema is

StructField("start_time_utc", IntegerType()),

it's not match, max of IntegerType is 2147483647

so cannot parse to json

Pravin08 · ‎03-07-2024

Yes indeed, it was datatype issue. After changing it to Longtype in the schema definition, it is working now. Thanks once again for all your inputs and time. Much appreciated !!!

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