Sorry for the newbie problems.
For me, I have to format my input file to be more like:
{"producer": [{
"fpa": "MATP",
"owner_producer": "US",
"prod_lvl_cap": "M",
"producer_datetime_last_chg": "20190101",
"producer_userid": "mytest",
"res_prod": "DJ",
"review_date": "20071015"
},
{
"fpa": "ELEC",
"owner_producer": "US",
"prod_lvl_cap": "M",
"producer_datetime_last_chg": "20190101",
"producer_userid": "fdolomite",
"res_prod": "DJ",
"review_date": "20111118"
},
{
"fpa": "AFLD",
"owner_producer": "US",
"prod_lvl_cap": "M",
"producer_datetime_last_chg": "20190101",
"producer_userid": "brenda",
"res_prod": "YF",
"review_date": "20140918"
}]}
Such that it will parse. Anything shaped like what was in previous email will
not make it past InferAvroSchema.
Once I do this, I can define the JsonPathReader in PutDatabaseRecord to pick up
this schema from ${inferred.avro.schema}
All this works, and I’m confident PutDatabaseRecord is talking to the database
as I am getting the error:
Record does not have a value for the Required column 'owner_producer'
The database is the only one that knows that’s a required field.
The data is in the flow, but…. Not being found.
Something is not lined up right…
The schema coming out of InferAvroSchema is:
{
"type": "record",
"name": "anything",
"fields": [{
"name": "producer",
"type": {
"type": "array",
"items": {
"type": "record",
"name": "producer",
"fields": [{
"name": "fpa",
"type": "string",
"doc": "Type inferred from '\"MATP\"'"
}, {
"name": "owner_producer",
"type": "string",
"doc": "Type inferred from '\"US\"'"
}, {
"name": "prod_lvl_cap",
"type": "string",
"doc": "Type inferred from '\"M\"'"
}, {
"name": "producer_datetime_last_chg",
"type": "string",
"doc": "Type inferred from '\"20190101\"'"
}, {
"name": "producer_userid",
"type": "string",
"doc": "Type inferred from '\"mytest\"'"
}, {
"name": "res_prod",
"type": "string",
"doc": "Type inferred from '\"DJ\"'"
}, {
"name": "review_date",
"type": "string",
"doc": "Type inferred from '\"20071015\"'"
}]
}
},
"doc": "Type inferred from
'[{\"fpa\":\"MATP\",\"owner_producer\":\"US\",\"prod_lvl_cap\":\"M\",\"producer_datetime_last_chg\":\"20190101\",\"producer_userid\":\"mytest\",\"res_prod\":\"DJ\",\"review_date\":\"20071015\"},{\"midb_sk\":\"10035001359911\",\"midb_source_entity\":\"FacAka\",\"fpa\":\"ELEC\",\"owner_producer\":\"US\",\"prod_lvl_cap\":\"M\",\"producer_datetime_last_chg\":\"20190101\",\"producer_userid\":\"fdolomite\",\"res_prod\":\"DJ\",\"review_date\":\"20111118\"},{\"fpa\":\"AFLD\",\"owner_producer\":\"US\",\"prod_lvl_cap\":\"M\",\"producer_datetime_last_chg\":\"20190101\",\"producer_userid\":\"brenda\",\"res_prod\":\"YF\",\"review_date\":\"20140918\"}]'"
}]
}
From: Matt Burgess <[email protected]>
Reply-To: "[email protected]" <[email protected]>
Date: Monday, August 13, 2018 at 11:19 AM
To: "[email protected]" <[email protected]>
Subject: Re: Need a sample JSON input file for InferAvroSchema
Bob,
InferAvroSchema can infer types like boolean, integer, long, float, double, and
I believe for JSON can correctly descend into arrays and nested
maps/structs/objects. Here is an example record from NiFi provenance data that
has most of those covered (except bool and float/double, but you can add those):
{
"eventId" : "7422645d-056e-423b-b280-6305f9daccaa",
"eventOrdinal" : 0,
"eventType" : "CREATE",
"timestampMillis" : 1496934288944,
"timestamp" : "2017-06-08T15:04:48.944Z",
"durationMillis" : -1,
"lineageStart" : 1496934288930,
"componentId" : "8821e5d8-015c-1000-30b0-f7211bbf43e5",
"componentType" : "GenerateFlowFile",
"componentName" : "_GenerateFlowFile",
"entityId" : "b99a56c6-e032-4396-915e-24186974b84a",
"entityType" : "org.apache.nifi.flowfile.FlowFile",
"entitySize" : 52,
"updatedAttributes" : {
"path" : "./",
"uuid" : "b99a56c6-e032-4396-915e-24186974b84a",
"filename" : "924304881186293"
},
"previousAttributes" : { },
"actorHostname" : "localhost",
"contentURI" :
"http://localhost:8989/nifi-api/provenance-events/0/content/output";,
"previousContentURI" :
"http://localhost:8989/nifi-api/provenance-events/0/content/input";,
"parentIds" : [ ],
"childIds" : [ ],
"platform" : "nifi",
"application" : "NiFi Flow"
}
Note that the timestamps are longs as InferAvroSchema does not support Avro
logical types (such as timestamp, date, decimal). I'd like to see an
InferRecordSchema that is record-aware, supports time/date types, etc. I wrote
up a Jira a while back to cover it [1] but haven't gotten around to
implementing it yet.
Regards,
Matt
[1] https://issues.apache.org/jira/browse/NIFI-4109
On Mon, Aug 13, 2018 at 11:02 AM Kuhfahl, Bob
<[email protected]<mailto:[email protected]>> wrote:
Trying to develop a sample input file of json data to feed into InferAvroSchema
so I can feed that into PutDatabaseRecord.
Need a hello world example ☺
But, to get started, I’d be happy to get InferAvroSchema working. I’m “trial
and error”-ing the input file hoping to get lucky, but..
No log messages, flow of json data is going to failure, I’m reading the code
for InferAvroSchema()
But it just calls JsonUtil.inferSchema(), so I’ll keep digging down the path
but… if someone has a sample input that demonstrates how it’s supposed to work,
I’d be grateful!
