Development Plan

Scenarios

Assume that the Kafka component receives one word record every 1 second.

The developed Spark application needs to achieve the following function:

Calculate the sum of records for each word in real time.

log1.txt example file:

LiuYang
YuanJing
GuoYijun
CaiXuyu
Liyuan
FangBo
LiuYang
YuanJing
GuoYijun
CaiXuyu
FangBo

Data Planning

Development Approach

1. Receive data from Kafka and generate DStream.
2. Collect the statistics of word records by category.
3. Calculate and print the result.

Configuration Operations Before Running

In security mode, the Spark Core sample code needs to read two files (user.keytab and krb5.conf). The user.keytab and krb5.conf files are authentication files in the security mode. Download the authentication credentials of the user principal on the FusionInsight Manager page. The user in the sample code is sparkuser, change the value to the prepared development user name.

Packaging the Project

• Upload the user.keytab and krb5.conf files to the server where the client is installed.

• Use the Maven tool provided by IDEA to pack the project and generate a JAR file. For details, see Writing and Running the Spark Program in the Linux Environment.
  

  Before compilation and packaging, change the paths of the user.keytab and krb5.conf files in the sample code to the actual paths on the client server where the files are located. Example: /opt/female/user.keytab and /opt/female/krb5.conf.

• Upload the JAR package to any directory (for example, /opt) on the server where the Spark client is located.

Running Tasks

When running the sample project, you need to specify <checkpointDir>, <brokers>, <topic>, and <batchTime>. <checkPointDir> indicates the path for storing the program result backup in HDFS. <brokers> indicates the Kafka address for obtaining metadata. <topic> indicates the topic name read from Kafka. <batchTime> indicates the interval for Streaming processing in batches.

The location of Spark Streaming Kafka dependency package on the client is different from the location of other dependency packages. For example, the path to the Spark Streaming Kafka dependency package is $SPARK_HOME/jars/streamingClient010, whereas the path to other dependency packages is $SPARK_HOME/jars. Therefore, when running an application, you need to add a configuration item to the spark-submit command to specify the path of the dependency package of Spark Streaming Kafka, for example, --jars $(files=($SPARK_HOME/jars/streamingClient010/*.jar); IFS=,; echo "${files[*]}")

Because the cluster is security mode, you need to add configuration items and modify the command parameters.

1. Add configuration items to $SPARK_HOME/conf/jaas.conf:

   KafkaClient {
   com.sun.security.auth.module.Krb5LoginModule required
   useKeyTab=false
   useTicketCache=true
   debug=false;
   };

2. Add configuration items to $SPARK_HOME/conf/jaas-zk.conf:

   KafkaClient {
   com.sun.security.auth.module.Krb5LoginModule required
   useKeyTab=true
   keyTab="./user.keytab"
   principal="sparkuser@<system domain name>"
   useTicketCache=false
   storeKey=true
   debug=true;
   };

3. Use --files and relative path to submit the keytab file to ensure that the keytab file is loaded to the container of the executor.
4. For the port number in <brokers>, use SASL_PLAINTEXT for the Kafka 0-10 Write To Print example, use PLAINTEXT for the Write To Kafka 0-10 example.