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From "Don Bosco Durai (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (RANGER-1837) Enhance Ranger Audit to HDFS to support ORC file format
Date Wed, 22 Nov 2017 08:14:00 GMT

    [ https://issues.apache.org/jira/browse/RANGER-1837?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16262125#comment-16262125

Don Bosco Durai commented on RANGER-1837:

bq.  and send it to AsyncAuditQueue. This chunk becomes the batch size of the data that is
going to the next point in this follow, in this case, AsyncAuditQueue
The issue I see is with similar to 2 phase commit. If you have read and put it on AsyncAuditQueue
and for whatever reason, write to the destination fails (e.g. HDFS file close fails), then
we are back to square one. This amplifies when you have multiple destinations.

bq. I believe that you wanted to eliminate AsyncAuditQueue in this flow and send directly
to HDFSDestination / SOLR destination via a AuditFileQueue.
Every destination has a Queue associated with it. Most of them are BatchQueue, because it
uses file spooler in case destination is down or the incoming flow is faster than what the
destination can handle. My suggestion was in ORC/Parquet case, replace the BatchQueue with
the new AuditFileQueue, so nothing is stored in the memory and we can build a bigger buffer
in the file. And on regular intervals, copy the file to HDFS directly or using ORC library.

bq. If you proposing this, then that is what I was mentioning of about the refactoring / introducing
a new pipeline to handle this scenario
I won't call it refactoring because it is part of the existing design. Yes, we will have to
write a new queue and it is some work and testing required.

bq. I have one more request which is related to data flow rate to different destination.
This is exactly the reason we need the queue per destination. Having the AuditFileCacheProvider
upfronts limits us doing variable flows and also doesn't give us the expected reliability.

I did a quick review of AuditFileCacheProvider and AuditFileCacheProviderSpool. It seems you
already have most of the code in AuditFileCacheProviderSpool. And AuditFileCacheProvider is
also extending from BaseAuditHandler. So you could technically clone it to FileAuditQueue
extend that from AuditQueue. And the runLogAudit() method in AuditFileCacheProviderSpool can
call destination.logFile() (new method in BaseAuditHandler). The default implementation is
what you already have in runLogAudit() which reads each lines and calls destination.log().
While any destination which can deal at file level override the method take the file name/handler
and do bulk operation.

> Enhance Ranger Audit to HDFS to support ORC file format
> -------------------------------------------------------
>                 Key: RANGER-1837
>                 URL: https://issues.apache.org/jira/browse/RANGER-1837
>             Project: Ranger
>          Issue Type: Improvement
>          Components: audit
>            Reporter: Kevin Risden
>            Assignee: Ramesh Mani
>         Attachments: 0001-RANGER-1837-Enhance-Ranger-Audit-to-HDFS-to-support-.patch,
0001-RANGER-1837-Enhance-Ranger-Audit-to-HDFS-to-support_001.patch, AuditDataFlow.png
> My team has done some research and found that Ranger HDFS audits are:
> * Stored as JSON objects (one per line)
> * Not compressed
> This is currently very verbose and would benefit from compression since this data is
not frequently accessed. 
> From Bosco on the mailing list:
> {quote}You are right, currently one of the options is saving the audits in HDFS itself
as JSON files in one folder per day. I have loaded these JSON files from the folder into Hive
as compressed ORC format. The compressed files in ORC were less than 10% of the original size.
So, it was significant decrease in size. Also, it is easier to run analytics on the Hive tables.
> So, there are couple of ways of doing it.
> Write an Oozie job which runs every night and loads the previous day worth audit logs
into ORC or other format
> Write a AuditDestination which can write into the format you want to.
> Regardless which approach you take, this would be a good feature for Ranger.{quote}
> http://mail-archives.apache.org/mod_mbox/ranger-user/201710.mbox/%3CCAJU9nmiYzzUUX1uDEysLAcMti4iLmX7RE%3DmN2%3DdoLaaQf87njQ%40mail.gmail.com%3E

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