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org.apache.hadoop.hive.serde2.SerDeException: Row is not a valid JSON Object

Explorer

I have one Json file and I have validate it, Its a valid json.
I am creating Hive table on that file and then select data but its showing

Error: java.io.IOException:
org.apache.hadoop.hive.serde2.SerDeException: Row is not a valid JSON Object
- JSONException: A JSONObject text must end with '}' at 2 [character 3 line 1]
(state=,code=0)


when I tried to set below property.

ALTER TABLE test_rahul SET SERDEPROPERTIES ( "ignore.malformed.json" = "true");
Then It showing Null values for all the fields. Can someone Kindly Help me.


json File:

{
"buyer": {
"legalBusinessName": "test1 Company","organisationIdentifications": [{ "type": "abcd",
"identification": "test.bb@tesr"
},
{
"type": "TXID","identification": "12345678"
}
]
},
"supplier": {
"legalBusinessName": "test Company",
"organisationIdentifications": [
{
"type":"abcd","identification": "test28@test"
}
]
},
"paymentRecommendationId": "1234-5678-9876-2212-123456",
"excludedRemittanceInformation": [],
"recommendedPaymentInstructions": [{
"executionDate": "2022-06-12",
"paymentMethod": "aaaa",
"remittanceInformation": {
"structured": [{
"referredDocumentInformation": [{
"type": "xxx",
"number": "12341234",
"relatedDate": "2022-06-12",
"paymentDueDate": "2022-06-12",
"referredDocumentAmount": {
"remittedAmount": 2600.5,
"duePayableAmount": 3000
}
}]
}]
}
}]
}

Jar Added:

ADD JAR json-serde-1.3.7-SNAPSHOT-jar-with-dependencies.jar;

Create Table:

CREATE EXTERNAL TABLE IF NOT EXISTS `test`.`testerde11`
(`buyer` STRUCT< `legalBusinessName`:STRING, `organisationIdentifications`:STRUCT< `type`:STRING, `identification`:STRING>>,
`supplier` STRUCT< `legalBusinessName`:STRING, `organisationIdentifications`:STRUCT< `type`:STRING, `identification`:STRING>>,
`paymentRecommendationId` STRING, `recommendedPaymentInstructions` ARRAY< STRUCT< `executionDate`:STRING, `paymentMethod`:STRING,
`remittanceInformation`:STRUCT< `structured`:STRUCT< `referredDocumentInformation`:STRUCT< `type`:STRING,
`number`:STRING, `relatedDate`:STRING, `paymentDueDate`:STRING, `referredDocumentAmount`:STRUCT< `remittedAmount`:DOUBLE,
`duePayableAmount`:INT>>>>>>)
ROW FORMAT SERDE 'org.openx.data.jsonserde.JsonSerDe'
WITH SERDEPROPERTIES ( "field.delim"=",","mapping.ts" = "number")
STORED AS textFILE LOCATION '/user/hdfs/Jsontest/';


Error Message :

select * from test.testerde11;
Error: java.io.IOException: org.apache.hadoop.hive.serde2.SerDeException:
Row is not a valid JSON Object - JSONException: A JSONObject text must end with '}' at 2 [character 3 line 1] (state=,code=0)

I tried multiple option but didn't worked .Can someone suggest me what is the issue here/or do I need to change the delimiter/add new properties.

2 ACCEPTED SOLUTIONS

Master Collaborator

@Rohan44 ,

 

Try creating your datafile with each JSON record in a single line, like so:

{"buyer":{"legalBusinessName":"test1 Company","organisationIdentifications":[{"type":"abcd","identification":"test.bb@tesr"},{"type":"TXID","identification":"12345678"}]},"supplier":{"legalBusinessName":"test Company","organisationIdentifications":[{"type":"abcd","identification":"test28@test"}]},"paymentRecommendationId":"1234-5678-9876-2212-123456","excludedRemittanceInformation":[],"recommendedPaymentInstructions":[{"executionDate":"2022-06-12","paymentMethod":"aaaa","remittanceInformation":{"structured":[{"referredDocumentInformation":[{"type":"xxx","number":"12341234","relatedDate":"2022-06-12","paymentDueDate":"2022-06-12","referredDocumentAmount":{"remittedAmount":2600.5,"duePayableAmount":3000}}]}]}}]}

 

Cheers,

André

 

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View solution in original post

Master Collaborator

@Rohan44 ,

 

Unfortunately, I don't think there's a way to do that.

What are you using to write the files to HDFS?

 

Cheers,

André

 

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View solution in original post

5 REPLIES 5

Master Collaborator

@Rohan44 ,

 

Try creating your datafile with each JSON record in a single line, like so:

{"buyer":{"legalBusinessName":"test1 Company","organisationIdentifications":[{"type":"abcd","identification":"test.bb@tesr"},{"type":"TXID","identification":"12345678"}]},"supplier":{"legalBusinessName":"test Company","organisationIdentifications":[{"type":"abcd","identification":"test28@test"}]},"paymentRecommendationId":"1234-5678-9876-2212-123456","excludedRemittanceInformation":[],"recommendedPaymentInstructions":[{"executionDate":"2022-06-12","paymentMethod":"aaaa","remittanceInformation":{"structured":[{"referredDocumentInformation":[{"type":"xxx","number":"12341234","relatedDate":"2022-06-12","paymentDueDate":"2022-06-12","referredDocumentAmount":{"remittedAmount":2600.5,"duePayableAmount":3000}}]}]}}]}

 

Cheers,

André

 

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Explorer

Thanks a lot @araujo It Worked.
is there any option to handle this with multiline also.As we are getting this files from source in multiline.

Master Collaborator

@Rohan44 ,

 

Unfortunately, I don't think there's a way to do that.

What are you using to write the files to HDFS?

 

Cheers,

André

 

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Explorer

Yes HDFS

Explorer

Yes HDFS