Real Time Test (rttest) provides tools for sending lines (producers), receiving data (sinks), and monitoring data stores (monitors).
You must have java, maven, and git installed.
sudo yum -y install epel-release sudo yum -y install git sudo yum -y install java-1.8.0-openjdk sudo yum -y install maven
- Install Java
-- Java SE Development Kit Windows x64.
-- Accept Defaults for installs. -- Open Windows Advanced System Settings; Environemnt Variables -- Create a new System Variable; Variable name: JAVA_HOME, Variable value: C:\Program Files\Java\jdk1.8.0_121.
-- NOTE: The last number should match the version of Java you installed. You can use Explorer and navigate to the folder. then cut and paste the value. - Install Git Download 64-bit Git for Windows Setup. Defaults for all installation dialogs. -- You can use defaults during install
- Install Maven -- Download the Binary zip archive and unzip (I usually put it in C:) -- Open Windows Advanced System Settings; Environemnt Variables -- Edit the Path variable and append Maven to the path. Append a semicolon followed by path to Maven bin folder (e.g. ;C:\apache-maven-3.5.0\bin). Cut and paste is helpful.
git clone https://github.com/david618/rttest cd rttest mvn install
After Build; the target folder will contain:
- lib folder: all of the jar depdencies
- rttest.jar: small executable jar without dependencies.
- rttest-big.jar: big executable jar with dependencies.
These tools send lines from a file.
- ElasticsearchHttp : Send lines to Elasticsearch using HTTP API.
- ElasticsearchTrans : Send lines to Elasticsearch using Transport API.
- Http : Send lines to server using HTTP POST.
- Kafka : Send lines to Kafka topic.
- Tcp : Send lines to Server to TCP port.
These tools consume lines.
- TcpSink : Receive lines on a TCP port; report count and rate.
- WebSocketSink : Consume lines from WebSocket; report count and rate.
These tools montior counts and report changes.
- ElasticIndexMon : Monitor count and rate for Elasticsearch Index.
- FeatureLayerMon : Monitor count and rate for Feature Layer.
- KafkaTopicMon : Monitor count and rate for Kafka Topic.
Small sample planes.csv
data is included. This file has 100,000 lines.
The data file was created using planes.