gaborgsomogyi commented on a change in pull request #25412: 
[SPARK-28691][EXAMPLES] Add Java/Scala DirectKerberizedKafkaWordCount examples
URL: https://github.com/apache/spark/pull/25412#discussion_r314695471
 
 

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 File path: 
examples/src/main/java/org/apache/spark/examples/streaming/JavaDirectKerberizedKafkaWordCount.java
 ##########
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+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.examples.streaming;
+
+import java.util.HashMap;
+import java.util.HashSet;
+import java.util.Arrays;
+import java.util.Map;
+import java.util.Set;
+import java.util.regex.Pattern;
+
+import scala.Tuple2;
+
+import org.apache.kafka.clients.CommonClientConfigs;
+import org.apache.kafka.common.security.auth.SecurityProtocol;
+import org.apache.kafka.clients.consumer.ConsumerConfig;
+import org.apache.kafka.clients.consumer.ConsumerRecord;
+import org.apache.kafka.common.serialization.StringDeserializer;
+
+import org.apache.spark.SparkConf;
+import org.apache.spark.streaming.api.java.*;
+import org.apache.spark.streaming.kafka010.ConsumerStrategies;
+import org.apache.spark.streaming.kafka010.KafkaUtils;
+import org.apache.spark.streaming.kafka010.LocationStrategies;
+import org.apache.spark.streaming.Durations;
+
+/**
+ * Consumes messages from one or more topics in Kafka and does wordcount.
+ * Usage: JavaDirectKerberizedKafkaWordCount <brokers> <groupId> <topics>
+ *   <brokers> is a list of one or more Kafka brokers
+ *   <groupId> is a consumer group name to consume from topics
+ *   <topics> is a list of one or more kafka topics to consume from
+ *
+ * Example:
+ *    $ bin/run-example --files ${path}/kafka_jaas.conf \
+ *      --driver-java-options 
"-Djava.security.auth.login.config=${path}/kafka_jaas.conf" \
+ *      --conf \
+ *      
"spark.executor.extraJavaOptions=-Djava.security.auth.login.config=./kafka_jaas.conf"
 \
+ *      streaming.JavaDirectKerberizedKafkaWordCount 
broker1-host:port,broker2-host:port \
+ *      consumer-group topic1,topic2
+ *
+ * kafka_jaas.conf can manually create, template as:
+ *   KafkaClient {
+ *     com.sun.security.auth.module.Krb5LoginModule required
+ *     keyTab="${path_of_keytab}/kafka.service.keytab"
+ *     useKeyTab=true
+ *     storeKey=true
+ *     useTicketCache=false
+ *     serviceName="kafka"
+ *     principal="kafka/server@example";
 
 Review comment:
   The default realm is `EXAMPLE.COM` in Kerby and in `krb5` the configuration 
guide suggests the same. With `example` realm the example app failed with 
authentication error.

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