FLINK SCAFFOLDING

Scaffolding for data stream processing applications, leveraging Apache Flink

Requirements

The system needs to be provided with the following packages:

• Java >= 1.8.0
• Maven >= 3.5.0
• Hadoop = 2.8.0
• Flink = 1.3.1 (scala 2.11)
• Kafka >= 0.10.2.1
• Elasticsearch >= 5.5.0
• Kibana >= 5.5.0

and the following environment variables, pointing to the respective package home directory:

• JAVA_HOME
• MAVEN_HOME
• HADOOP_HOME
• FLINK_HOME
• KAFKA_HOME
• ELASTICSEARCH_HOME
• KIBANA_HOME

Build

Build the application for a specific query:

$> mvn clean package

Usage

Start the environment:

$socstream_home> bash start-env.sh

Visit the Flink web dashboard at http://localhost:8081.

The general job submission is as follows:

$flink_home> bin/flink jar [PROGRAM_JAR] [QUERY] [QUERY_OPTS]

where

• [PROGRAM_JAR] is the local absolute path to the program's JAR;
• [QUERY] is the name of the program query to execute;
• [QUERY_OPTS] are query arguments (e.g. --optName optValue).

Notice that the following map/reduce programs are available:

• query-1 the 1st query, leveraging ... .

The job can be interrupted typing Ctrl+C.

Read the output:

$hadoop_home> bin/hadoop hdfs -cat [RESULT]/*

where [RESULT] is the HDFS directory of results.

Stop the environment:

$socstream_home> bash stop-env.sh

Query 1

The 1st query requires a netcat session to be started:

$> ncat 127.0.0.1 9000 -l

The 1st query can be executed running:

$socstream_home> bash query-1.sh

The output is saved to $path/to/the/project/out/query1.

Query 2

The 2nd query requires a netcat session to be started:

$> ncat 127.0.0.1 9000 -l

The 2nd query can be executed running:

$socstream_home> bash query-1.sh

The output is saved to $path/to/the/project/out/query1.

Query 3

The 3rd query requires a Kafka and Elasticsearch to be configured and started.

Create the Kafka topic topic-query-3:

$kafka-home> bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic topic-query-3

Test the topic creation:

$kafka-home> bin/kafka-topics.sh --list --zookeeper localhost:2181

To test message publishing:

$kafka-home> bin/kafka-console-producer.sh --broker-list localhost:9092 --topic topic-query-3

$kafka-home> bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic topic-query-3

Create the Elasticsearch index fsq4 with mapping output and mapping schema

{
"properties": {
    "wStart": {"type": "date"},
    "wEnd":   {"type": "date"},
    "rank":   {"type": "text"}
}
}

The 3rd query can be executed running:

$socstream_home> bash query-3.sh

The output is saved to ${FLINK_HOME}/log/*.out.

Dataset

The dataset is provided by ... and can be downloaded from here.

Authors

Giacomo Marciani, gmarciani@acm.org

References

Christopher Mutschler, Holger Ziekow, and Zbigniew Jerzak. 2013. The DEBS 2013 grand challenge. In Proceedings of the 7th ACM international conference on Distributed event-based systems (DEBS '13). ACM, New York, NY, USA, 289-294. DOI

License

The project is released under the MIT License.