Regarding why I didn't choose to load data with the flatfile loader script...

I want to be able to SEND enrichment data to Metron rather than have to set up 
cron jobs to PULL data. At the moment I'm trying to prove that the process 
works with a simple data source. In the future we will want enrichment data in 
Metron that comes from systems (e.g. HR databases) that I won't have access to, 
hence will need someone to be able to send us the data.

> Carolyn: just call the flat file loader from a script processor...

I didn't believe that would work in my environment. I'm pretty sure the script 
has dependencies on various Metron JARs, not least for the row id hashing 
algorithm. I suppose this would require at least a partial install of Metron 
alongside NiFi, and would introduce additional work on the NiFi cluster for any 
Metron upgrade. In some (enterprise) environments there might be separation of 
ownership between NiFi and Metron.

I also prefer not to have a Java app calling a bash script which calls a new 
java process, with logs or error output that might just get swallowed up 
invisibly. Somewhere down the line this could hold up effective troubleshooting.

> Simon: I have actually written a stellar processor, which applies stellar to 
> all FlowFile attributes...

Gulp.

> Simon: what didn't you like about the flatfile loader script?

The flatfile loader script has worked fine for me when prepping enrichment data 
in test systems, however it was a bit of a chore to get the JSON configuration 
files set up, especially for "wide" data sources that may have 15-20 fields, 
e.g. Active Directory.

More broadly speaking, I want to embrace the streaming data paradigm and tried 
to avoid batch jobs. With the DNS example, you might imagine a future where the 
enrichment data is streamed based on DHCP registrations, DNS update events, 
etc. In principle this could reduce the window of time where we might enrich a 
data source with out-of-date data.

Charlie

-----Original Message-----
From: Carolyn Duby [mailto:cd...@hortonworks.com] 
Sent: 12 June 2018 20:33
To: dev@metron.apache.org
Subject: Re: Writing enrichment data directly from NiFi with PutHBaseJSON

I like the streaming enrichment solutions but it depends on how you are getting 
the data in.  If you get the data in a csv file just call the flat file loader 
from a script processor.  No special Nifi required.

If the enrichments don’t arrive in bulk, the streaming solution is better.

Thanks
Carolyn Duby
Solutions Engineer, Northeast
cd...@hortonworks.com
+1.508.965.0584

Join my team!
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On 6/12/18, 1:08 PM, "Simon Elliston Ball" <si...@simonellistonball.com> wrote:

>Good solution. The streaming enrichment writer makes a lot of sense for 
>this, especially if you're not using huge enrichment sources that need 
>the batch based loaders.
>
>As it happens I have written most of a NiFi processor to handle this 
>use case directly - both non-record and Record based, especially for Otto :).
>The one thing we need to figure out now is where to host that, and how 
>to handle releases of a nifi-metron-bundle. I'll probably get round to 
>putting the code in my github at least in the next few days, while we 
>figure out a more permanent home.
>
>Charlie, out of curiosity, what didn't you like about the flatfile 
>loader script?
>
>Simon
>
>On 12 June 2018 at 18:00, Charles Joynt <charles.jo...@gresearch.co.uk>
>wrote:
>
>> Thanks for the responses. I appreciate the willingness to look at 
>> creating a NiFi processer. That would be great!
>>
>> Just to follow up on this (after a week looking after the "ops" side 
>> of
>> dev-ops): I really don't want to have to use the flatfile loader 
>> script, and I'm not going to be able to write a Metron-style HBase 
>> key generator any time soon, but I have had some success with a different 
>> approach.
>>
>> 1. Generate data in CSV format, e.g. "server.domain.local","A","
>> 192.168.0.198"
>> 2. Send this to a HTTP listener in NiFi 3. Write to a kafka topic
>>
>> I then followed your instructions in this blog:
>> https://cwiki.apache.org/confluence/display/METRON/
>> 2016/06/16/Metron+Tutorial+-+Fundamentals+Part+6%3A+Streaming+Enrichm
>> ent
>>
>> 4. Create a new "dns" sensor in Metron 5. Use the CSVParser and 
>> SimpleHbaseEnrichmentWriter, and parserConfig settings to push this 
>> into HBase:
>>
>> {
>>         "parserClassName": "org.apache.metron.parsers.csv.CSVParser",
>>         "writerClassName": "org.apache.metron.enrichment.writer.
>> SimpleHbaseEnrichmentWriter",
>>         "sensorTopic": "dns",
>>         "parserConfig": {
>>                 "shew.table": " dns",
>>                 "shew.cf": "dns",
>>                 "shew.keyColumns": "name",
>>                 "shew.enrichmentType": "dns",
>>                 "columns": {
>>                         "name": 0,
>>                         "type": 1,
>>                         "data": 2
>>                 }
>>         },
>> }
>>
>> And... it seems to be working. At least, I have data in HBase which 
>> looks more like the output of the flatfile loader.
>>
>> Charlie
>>
>> -----Original Message-----
>> From: Casey Stella [mailto:ceste...@gmail.com]
>> Sent: 05 June 2018 14:56
>> To: dev@metron.apache.org
>> Subject: Re: Writing enrichment data directly from NiFi with 
>> PutHBaseJSON
>>
>> The problem, as you correctly diagnosed, is the key in HBase.  We 
>> construct the key very specifically in Metron, so it's unlikely to 
>> work out of the box with the NiFi processor unfortunately.  The key 
>> that we use is formed here in the codebase:
>> https://github.com/cestella/incubator-metron/blob/master/
>> metron-platform/metron-enrichment/src/main/java/org/
>> apache/metron/enrichment/converter/EnrichmentKey.java#L51
>>
>> To put that in english, consider the following:
>>
>>    - type - The enrichment type
>>    - indicator - the indicator to use
>>    - hash(*) - A murmur 3 128bit hash function
>>
>> the key is hash(indicator) + type + indicator
>>
>> This hash prefixing is a standard practice in hbase key design that 
>> allows the keys to be uniformly distributed among the regions and 
>> prevents hotspotting.  Depending on how the PutHBaseJSON processor 
>> works, if you can construct the key and pass it in, then you might be 
>> able to either construct the key in NiFi or write a processor to construct 
>> the key.
>> Ultimately though, what Carolyn said is true..the easiest approach is 
>> probably using the flatfile loader.
>> If you do get this working in NiFi, however, do please let us know 
>> and/or consider contributing it back to the project as a PR :)
>>
>>
>>
>> On Fri, Jun 1, 2018 at 6:26 AM Charles Joynt < 
>> charles.jo...@gresearch.co.uk>
>> wrote:
>>
>> > Hello,
>> >
>> > I work as a Dev/Ops Data Engineer within the security team at a 
>> > company in London where we are in the process of implementing Metron.
>> > I have been tasked with implementing feeds of network environment 
>> > data into HBase so that this data can be used as enrichment sources 
>> > for our
>> security events.
>> > First-off I wanted to pull in DNS data for an internal domain.
>> >
>> > I am assuming that I need to write data into HBase in such a way 
>> > that it exactly matches what I would get from the 
>> > flatfile_loader.sh script. A colleague of mine has already loaded 
>> > some DNS data using that script, so I am using that as a reference.
>> >
>> > I have implemented a flow in NiFi which takes JSON data from a HTTP 
>> > listener and routes it to a PutHBaseJSON processor. The flow is 
>> > working, in the sense that data is successfully written to HBase, 
>> > but despite (naively) specifying "Row Identifier Encoding Strategy 
>> > = Binary", the results in HBase don't look correct. Comparing the 
>> > output from HBase scan commands I
>> > see:
>> >
>> > flatfile_loader.sh produced:
>> >
>> > ROW:
>> > \xFF\xFE\xCB\xB8\xEF\x92\xA3\xD9#xC\xF9\xAC\x0Ap\x1E\x00\x05whois\x
>> > 00\
>> > x0E192.168.0.198
>> > CELL: column=data:v, timestamp=1516896203840, 
>> > value={"clientname":"server.domain.local","clientip":"192.168.0.198
>> > "}
>> >
>> > PutHBaseJSON produced:
>> >
>> > ROW:  server.domain.local
>> > CELL: column=dns:v, timestamp=1527778603783, 
>> > value={"name":"server.domain.local","type":"A","data":"192.168.0.19
>> > 8"}
>> >
>> > From source JSON:
>> >
>> >
>> > {"k":"server.domain.local","v":{"name":"server.domain.local","type"
>> > :"A
>> > ","data":"192.168.0.198"}}
>> >
>> > I know that there are some differences in column family / field 
>> > names, but my worry is the ROW id. Presumably I need to encode my 
>> > row key, "k" in the JSON data, in a way that matches how the 
>> > flatfile_loader.sh
>> script did it.
>> >
>> > Can anyone explain how I might convert my Id to the correct format?
>> > -or-
>> > Does this matter-can Metron use the human-readable ROW ids?
>> >
>> > Charlie Joynt
>> >
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>--
>simon elliston ball
>@sireb

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