Rishi S Balajis created SPARK-33182:
---------------------------------------
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}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
