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Posted to issues@spark.apache.org by "Rishi S Balajis (Jira)" <ji...@apache.org> on 2020/10/19 15:19:00 UTC

[jira] [Created] (SPARK-33182) Using Delegation Tokens to access HBase through Spark (Java)

Rishi S Balajis created SPARK-33182:
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             Summary: Using Delegation Tokens to access HBase through Spark (Java)
                 Key: SPARK-33182
                 URL: https://issues.apache.org/jira/browse/SPARK-33182
             Project: Spark
          Issue Type: Question
          Components: Spark Core
    Affects Versions: 2.4.0
         Environment: Spark 2.3, RHEL 7.5, HDP 3
            Reporter: Rishi S Balajis


I have a requirement to access a kerberized HBase through delegation tokens instead of keytab. I have generated the token using the token util API and also loaded it back into the UserGroupInformation. However, hasKerberosCredentials returns a false. What is the right way to use a saved delegation token to access HBase . The code that I have currently looks like shown below. I see the error :{{client cannot authenticate via:[token, kerberos]}} 

 
{code:java}
UserGroupInformation ugi;
 ugi = UserGroupInformation.getLoginUser();
 Credentials creds = new Credentials ();
 creds = Credentials.readTokenStorageFile (new Path("file:///zen-volume-home/tokenFile"),conf);
 
 System.out.println("TOKEN *********" + creds.getToken(new org.apache.hadoop.io.Text("hbase")));
 ugi.addToken(creds.getToken(new org.apache.hadoop.io.Text("hbase")));
 ugi.addCredentials(creds);

/* I do see the token getting printed. However, I am looking for information on how to use this ugi which has the token added to it, to access data on HBase.
I have tried doing this :  */

SQLContext sqlC = ugi.getLoginUser().doAs((new PrivilegedExceptionAction<SQLContext>() {
		            public SQLContext run() throws Exception {
		     
		     sparkconf = new SparkConf().setAppName("Hbase With Spark");
		     jsc = new JavaSparkContext(sparkconf);
		     hbaseContext = new JavaHBaseContext(jsc, conf);
		 sqlContext = new org.apache.spark.sql.SQLContext(jsc);		
		        		
		 String sqlMapping  = "name STRING all:name" ;	
		 Dataset<Row> dfEmp = sqlContext.read().format("org.apache.hadoop.hbase.spark")
		        				.option("hbase.columns.mapping", sqlMapping)		        				.option("hbase.table", "employee").load();
		        		        
		        		dfEmp.registerTempTable("empdata");  
		        		dfEmp.show();
		        		return sqlContext;
		            }
		        }));
		        		{code}
 



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