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https://issues.apache.org/jira/browse/NIFI-4398?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Otto Fowler reassigned NIFI-4398:
---------------------------------
Assignee: (was: Otto Fowler)
> FlattenRecord Processor
> -----------------------
>
> Key: NIFI-4398
> URL: https://issues.apache.org/jira/browse/NIFI-4398
> Project: Apache NiFi
> Issue Type: New Feature
> Reporter: Nicholas Hughes
> Priority: Major
>
> Requesting a "FlattenRecord" processor, which performs much like the "Field
> Flattener" processor included in StreamSets Data Collector [2]
> This should be able to act on all supported record types, and would take
> nested data and bring it out to the top level of the record by adding a
> prefix to the property name (or potentially other strategies).
> The easiest way to demonstrate the desired effect is with the following JSON
> example. For input data like that shown below from Yahoo [1]
> {
> "query": {
> "count": 1,
> "created": "2017-09-15T11:20:26Z",
> "lang": "en-US",
> "results": {
> "channel": {
> "item": {
> "condition": {
> "code": "33",
> "date": "Fri, 15 Sep 2017 06:00 AM EDT",
> "temp": "63",
> "text": "Mostly Clear"
> }
> }
> }
> }
> }
> }
> ...we'd end up with output something like this:
> {
> "query.count": 1,
> "query.created": "2017-09-15T11:20:26Z",
> "query.lang": "en-US",
> "query.results.channel.item.condition.code": "33",
> "query.results.channel.item.condition.date": "Fri, 15 Sep 2017 06:00 AM
> EDT",
> "query.results.channel.item.condition.temp": "63",
> "query.results.channel.item.condition.text": "Mostly Clear"
> }
> [1]
> https://query.yahooapis.com/v1/public/yql?q=select%20item.condition%20from%20weather.forecast%20where%20woeid%20%3D%202383558&format=json&env=store%3A%2F%2Fdatatables.org%2Falltableswithkeys
> [2]
> https://github.com/streamsets/datacollector/tree/master/basic-lib/src/main/java/com/streamsets/pipeline/stage/processor/fieldflattener
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