[jira] [Updated] (HBASE-28534) Authentication failure when running hbase-spark in local mode

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HBASE-28534?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated HBASE-28534:
-----------------------------------
    Labels: pull-request-available  (was: )

> Authentication failure when running hbase-spark in local mode
> -------------------------------------------------------------
>
>                 Key: HBASE-28534
>                 URL: https://issues.apache.org/jira/browse/HBASE-28534
>             Project: HBase
>          Issue Type: Bug
>          Components: spark
>    Affects Versions: connector-1.0.0
>            Reporter: Junegunn Choi
>            Assignee: Junegunn Choi
>            Priority: Major
>              Labels: pull-request-available
>
> h2. Problem
> When running Spark in local mode, hbase-spark fails to authenticate to a Kerberos secured HBase cluster. The error message is:
> {quote}No matching SASL authentication provider and supporting token found from providers for user: xxx@XXX.XXX (auth:PROXY)
> {quote}
> That is because {{applyCreds}} changes the authentication method of the current user to {{{}PROXY{}}}, when it should still be {{KERBEROS}} for local mode to run correctly.
> h2. Suggested solution
> To fix this, I propose removing {{{}applyCreds{}}}. The function is no longer needed and should be removed:
> 1. Because we should not change the authentication mode of the current user in local mode
> 2. And because the purpose of the function is no longer valid. It is not doing anything meaningful since the broadcasting of the user credentials was removed in this commit:
> [https://github.com/apache/hbase-connectors/commit/75e41365207408f5b47d5925469a49fd60078b5e]
> A pull request is on the way.
> h2. Testing
> The fix was manually tested against Kerberos secured HBase 2.4.17 + Hadoop 3.3.5 cluster using Spark 3.5.1, both in local mode and with Yarn master, running the following Python code.
> {code:java}
> df = (spark.read.format("org.apache.hadoop.hbase.spark")
>                 .option("hbase.columns.mapping", "key STRING :key, state STRING info:state")
>                 .option("hbase.table", "hbase:meta").load())
> df.first()
> {code}
>  



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