[jira] [Commented] (RANGER-2700) creating service sometimes fails because SecureRandom.getInstanceStrong() is often blocked

["Velmurugan Periasamy (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/RANGER-2700?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17015106#comment-17015106 ] 

Velmurugan Periasamy commented on RANGER-2700:
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Thanks [~liujiayi771]. Can you please post the patch in the review board? 

> creating service sometimes fails because SecureRandom.getInstanceStrong() is often blocked
> ------------------------------------------------------------------------------------------
>
>                 Key: RANGER-2700
>                 URL: https://issues.apache.org/jira/browse/RANGER-2700
>             Project: Ranger
>          Issue Type: Improvement
>          Components: admin
>    Affects Versions: ranger-2.0
>            Reporter: Jiayi Liu
>            Priority: Major
>         Attachments: 0001-RANGER-2700.patch
>
>
> I try to install ranger-2.0.0 on my cluster, however, I try to create a new service in Ranger WebUI, when I click the Add button, I keep stuck in the Please waiting state for a long time, and finally get an error that createService failed.
>  I try to debug through the source code, and found that it stuck on generateBase64EncodedIV() in PasswordUtils.java. It uses SecureRandom.getInstanceStrong() to get the random string. We can find a lot of information showing that this function often blocks and is very slow. SecureRandom.getInstanceStrong() uses /dev/random, and /dev/random blocks the thread if there isn't enough randomness available, but /dev/urandom will never block. 
> SecureRandom.getInstanceStrong() is equivalent to SecureRandom.getInstance("NativePRNGBlocking"), so we can use /dev/urandom by replacing SecureRandom.getInstanceStrong().nextBytes(iv) with SecureRandom.getInstance("NativePRNGNonBlocking").nextBytes(iv) which will not be blocked, or we can use new SecureRandom().nextBytes(iv). /dev/random and /dev/urandom use the same pool of randomness under the hood, and they are equally secure. 



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