tgravescs commented on a change in pull request #23348: [SPARK-25857][core] Add 
developer documentation regarding delegation tokens.
URL: https://github.com/apache/spark/pull/23348#discussion_r245661361
 
 

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 File path: core/src/main/scala/org/apache/spark/deploy/security/README.md
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+# Delegation Token Handling In Spark
+
+This document aims to explain and demystify delegation tokens as they are used 
by Spark, since
+this topic is generally a huge source of confusion.
+
+
+## What are delegation tokens?
+
+Delegation tokens (DTs from now on) are authentication tokens used by some 
services to replace
+Kerberos service tokens. Many services in the Hadoop ecosystem have support 
for DTs, since they
+have two very desirable advantages over Kerberos tokens:
+
+* No need to distribute Kerberos credentials
+
+In a distributed application, distributing Kerberos credentials is tricky. Not 
all users have
+keytabs, and when they do, it's generally frowned upon to distribute them over 
the network as
+part of application data.
+
+DTs allow for a single place (e.g. the Spark driver) to require Kerberos 
credentials. That entity
+can then distribute the DTs to other parts of the distributed application 
(e.g. Spark executors),
+so they can authenticate to services.
+
+* A single token is used for authentication
+
+If Kerberos authentication were used, each client connection to a server would 
require a trip
+to the KDC and generation of a service ticket. In a distributed system, the 
number of service
+tickets can balloon pretty quickly when you think about the number of client 
processes (e.g. Spark
+executors) vs. the number of service processes (e.g. HDFS DataNodes). That 
generates unnecessary
+extra load on the KDC, and may even run into usage limits set up by the KDC 
admin.
+
+
 
 Review comment:
   remove extra newline

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