spark JavaStructuredKerberizedKafkaWordCount 源码

spark JavaStructuredKerberizedKafkaWordCount 代码

文件路径：/examples/src/main/java/org/apache/spark/examples/sql/streaming/JavaStructuredKerberizedKafkaWordCount.java

/*
 * 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.sql.streaming;

import org.apache.kafka.common.security.auth.SecurityProtocol;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.sql.streaming.StreamingQuery;

import java.util.Arrays;

/**
 * Consumes messages from one or more topics in Kafka and does wordcount.
 * Usage: JavaStructuredKerberizedKafkaWordCount <bootstrap-servers> <subscribe-type> <topics>
 *   <bootstrap-servers> The Kafka "bootstrap.servers" configuration. A
 *   comma-separated list of host:port.
 *   <subscribe-type> There are three kinds of type, i.e. 'assign', 'subscribe',
 *   'subscribePattern'.
 *   |- <assign> Specific TopicPartitions to consume. Json string
 *   |  {"topicA":[0,1],"topicB":[2,4]}.
 *   |- <subscribe> The topic list to subscribe. A comma-separated list of
 *   |  topics.
 *   |- <subscribePattern> The pattern used to subscribe to topic(s).
 *   |  Java regex string.
 *   |- Only one of "assign, "subscribe" or "subscribePattern" options can be
 *   |  specified for Kafka source.
 *   <topics> Different value format depends on the value of 'subscribe-type'.
 *
 * Example:
 *   Yarn client:
 *    $ bin/run-example --files ${jaas_path}/kafka_jaas.conf,${keytab_path}/kafka.service.keytab \
 *      --driver-java-options "-Djava.security.auth.login.config=${path}/kafka_driver_jaas.conf" \
 *      --conf \
 *      "spark.executor.extraJavaOptions=-Djava.security.auth.login.config=./kafka_jaas.conf" \
 *      --master yarn
 *      sql.streaming.JavaStructuredKerberizedKafkaWordCount broker1-host:port,broker2-host:port \
 *      subscribe topic1,topic2
 *   Yarn cluster:
 *    $ bin/run-example --files \
 *      ${jaas_path}/kafka_jaas.conf,${keytab_path}/kafka.service.keytab,${krb5_path}/krb5.conf \
 *      --driver-java-options \
 *      "-Djava.security.auth.login.config=./kafka_jaas.conf \
 *      -Djava.security.krb5.conf=./krb5.conf" \
 *      --conf \
 *      "spark.executor.extraJavaOptions=-Djava.security.auth.login.config=./kafka_jaas.conf" \
 *      --master yarn --deploy-mode cluster \
 *      sql.streaming.JavaStructuredKerberizedKafkaWordCount broker1-host:port,broker2-host:port \
 *      subscribe topic1,topic2
 *
 * kafka_jaas.conf can manually create, template as:
 *   KafkaClient {
 *     com.sun.security.auth.module.Krb5LoginModule required
 *     keyTab="./kafka.service.keytab"
 *     useKeyTab=true
 *     storeKey=true
 *     useTicketCache=false
 *     serviceName="kafka"
 *     principal="kafka/host@EXAMPLE.COM";
 *   };
 * kafka_driver_jaas.conf (used by yarn client) and kafka_jaas.conf are basically the same
 * except for some differences at 'keyTab'. In kafka_driver_jaas.conf, 'keyTab' should be
 * "${keytab_path}/kafka.service.keytab".
 * In addition, for IBM JVMs, please use 'com.ibm.security.auth.module.Krb5LoginModule'
 * instead of 'com.sun.security.auth.module.Krb5LoginModule'.
 *
 * Note that this example uses SASL_PLAINTEXT for simplicity; however,
 * SASL_PLAINTEXT has no SSL encryption and likely be less secure. Please consider
 * using SASL_SSL in production.
 */
public final class JavaStructuredKerberizedKafkaWordCount {
  public static void main(String[] args) throws Exception {
    if (args.length < 3) {
      System.err.println("Usage: JavaStructuredKerberizedKafkaWordCount <bootstrap-servers> " +
        "<subscribe-type> <topics>");
      System.exit(1);
    }

    String bootstrapServers = args[0];
    String subscribeType = args[1];
    String topics = args[2];

    SparkSession spark = SparkSession
      .builder()
      .appName("JavaStructuredKerberizedKafkaWordCount")
      .getOrCreate();

    // Create DataSet representing the stream of input lines from kafka
    Dataset<String> lines = spark
      .readStream()
      .format("kafka")
      .option("kafka.bootstrap.servers", bootstrapServers)
      .option(subscribeType, topics)
      .option("kafka.security.protocol", SecurityProtocol.SASL_PLAINTEXT.name)
      .load()
      .selectExpr("CAST(value AS STRING)")
      .as(Encoders.STRING());

    // Generate running word count
    Dataset<Row> wordCounts = lines.flatMap(
      (FlatMapFunction<String, String>) x -> Arrays.asList(x.split(" ")).iterator(),
      Encoders.STRING()).groupBy("value").count();

    // Start running the query that prints the running counts to the console
    StreamingQuery query = wordCounts.writeStream()
      .outputMode("complete")
      .format("console")
      .start();

    query.awaitTermination();
  }
}

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