Sylph

The sylph is stream and batch Job management platform. The sylph core idea is to build distributed applications through workflow descriptions. Support for

• spark1.x Spark-Streaming
• spark2.x Structured-Streaming
• flink stream
• batch job

Status

Experimental stage

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Building

sylph builds use Gradle and requires Java 8.

# Build and install distributions
./gradlew clean assemble

Running Sylph in your IDE

After building Sylph for the first time, you can load the project into your IDE and run the server. Me recommend using IntelliJ IDEA.

After opening the project in IntelliJ, double check that the Java SDK is properly configured for the project:

• Open the File menu and select Project Structure
• In the SDKs section, ensure that a 1.8 JDK is selected (create one if none exist)
• In the Project section, ensure the Project language level is set to 8.0 as Sylph makes use of several Java 8 language features
• HADOOP_HOME(2.6.x+) SPARK_HOME(2.3.x+) FLINK_HOME(1.5.x+)

Sylph comes with sample configuration that should work out-of-the-box for development. Use the following options to create a run configuration:

• Main Class: ideal.sylph.main.SylphMaster
• VM Options: -Dconfig=etc/sylph/sylph.properties -Dlog4j.file=etc/sylph/sylph-log4j.properties
• ENV Options: FLINK_HOME= HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
• Working directory: sylph-dist/build
• Use classpath of module: sylph-main

Useful mailing lists

1. [email protected] - For discussions about code, design and features

Help

We need more power to improve the view layer. If you are interested, you can contact me by email.

Other

• sylph被设计来处理分布式实时ETL,实时StreamSql指标计算,分布式程序监控和托管以及离线周期任务,您可以拿来实验您的方案和思路.如果可以解决您的场景，还是建议您使用 阿里云流计算(https://help.aliyun.com/product/45029.html), 华为流计算等更加成熟可靠的产品来为您的业务保驾护航
• QQ群 438625067