is an easy to use, powerful big data pipeline system.

Table of Contents

• Features
• Architecture
• Requirements
• Getting Started
• Getting Help
• Documentation

Features

• Easy to use
  • provide a WYSIWYG web interface to configure data flow
  • monitor big data flow status
  • check big data flow logs
  • provide checkpoint
• Strong Scalability:
  • Support for custom development data processing components
• Superior performance
  • based on distributed computing engine Spark
• Powerful
  • 100+ data processing components available
  • include spark、mllib、hadoop、hive、hbase、solr、redis、memcache、elasticSearch、jdbc、mongodb、http、ftp、xml、csv、json，etc.

Architecture

Requirements

• JDK 1.8 or newer
• Apache Maven 3.1.0 or newer
• Git Client (used during build process by 'bower' plugin)
• spark-2.1.0
• hadoop-2.6.0

Getting Started

To Build: mvn clean package -Dmaven.test.skip=true

      [INFO] Replacing original artifact with shaded artifact.
      [INFO] Replacing /opt/project/piflow/piflow-server/target/piflow-server-0.9.jar with /opt/project/piflow/piflow-server/target/piflow-server-0.9-shaded.jar
      [INFO] ------------------------------------------------------------------------
      [INFO] Reactor Summary:
      [INFO] 
      [INFO] piflow-project ..................................... SUCCESS [  4.602 s]
      [INFO] piflow-core ........................................ SUCCESS [ 56.533 s]
      [INFO] piflow-bundle ...................................... SUCCESS [02:15 min]
      [INFO] piflow-server ...................................... SUCCESS [03:01 min]
      [INFO] ------------------------------------------------------------------------
      [INFO] BUILD SUCCESS
      [INFO] ------------------------------------------------------------------------
      [INFO] Total time: 06:18 min
      [INFO] Finished at: 2018-12-24T16:54:16+08:00
      [INFO] Final Memory: 41M/812M
      [INFO] ------------------------------------------------------------------------

To Run Piflow Server：

• configure config.properties

  #server ip and port
  server.ip=10.0.86.191
  server.port=8002
  h2.port=50002
  
  #spark and yarn config
  spark.master=yarn
  spark.deploy.mode=cluster
  yarn.resourcemanager.hostname=10.0.86.191
  yarn.resourcemanager.address=10.0.86.191:8032
  yarn.access.namenode=hdfs://10.0.86.191:9000
  yarn.stagingDir=hdfs://10.0.86.191:9000/tmp/
  yarn.jars=hdfs://10.0.86.191:9000/user/spark/share/lib/*.jar
  yarn.url=http://10.0.86.191:8088/ws/v1/cluster/apps/
  
  #hive config
  hive.metastore.uris=thrift://10.0.86.191:9083
  
  #piflow jar path
  piflow.bundle=/opt/piflowServer/piflow-server-0.9.jar
  
  #checkpoint hdfs path
  checkpoint.path=hdfs://10.0.86.89:9000/piflow/checkpoints/
  

• you can run piflow server on intellij

  • main class is cn.piflow.api.Main
  • remember to set SPARK_HOME

• you can run piflow server as follows:

  • download piflowServer:***
  • edit config.properties
  • run start.sh

To Run Piflow Web：

• todo

To Use：

• command line

  • flow config example

    {
      "flow":{
      "name":"test",
      "uuid":"1234",
      "checkpoint":"Merge",
      "stops":[
      {
        "uuid":"1111",
        "name":"XmlParser",
        "bundle":"cn.piflow.bundle.xml.XmlParser",
        "properties":{
            "xmlpath":"hdfs://10.0.86.89:9000/xjzhu/dblp.mini.xml",
            "rowTag":"phdthesis"
        }
      },
      {
        "uuid":"2222",
        "name":"SelectField",
        "bundle":"cn.piflow.bundle.common.SelectField",
        "properties":{
            "schema":"title,author,pages"
        }
    
      },
      {
        "uuid":"3333",
        "name":"PutHiveStreaming",
        "bundle":"cn.piflow.bundle.hive.PutHiveStreaming",
        "properties":{
            "database":"sparktest",
            "table":"dblp_phdthesis"
        }
      },
      {
        "uuid":"4444",
        "name":"CsvParser",
        "bundle":"cn.piflow.bundle.csv.CsvParser",
        "properties":{
            "csvPath":"hdfs://10.0.86.89:9000/xjzhu/phdthesis.csv",
            "header":"false",
            "delimiter":",",
            "schema":"title,author,pages"
        }
      },
      {
        "uuid":"555",
        "name":"Merge",
        "bundle":"cn.piflow.bundle.common.Merge",
        "properties":{
          "inports":"data1,data2"
        }
      },
      {
        "uuid":"666",
        "name":"Fork",
        "bundle":"cn.piflow.bundle.common.Fork",
        "properties":{
          "outports":"out1,out2,out3"
        }
      },
      {
        "uuid":"777",
        "name":"JsonSave",
        "bundle":"cn.piflow.bundle.json.JsonSave",
        "properties":{
          "jsonSavePath":"hdfs://10.0.86.89:9000/xjzhu/phdthesis.json"
        }
      },
      {
        "uuid":"888",
        "name":"CsvSave",
        "bundle":"cn.piflow.bundle.csv.CsvSave",
        "properties":{
          "csvSavePath":"hdfs://10.0.86.89:9000/xjzhu/phdthesis_result.csv",
          "header":"true",
          "delimiter":","
        }
      }
    ],
    "paths":[
      {
        "from":"XmlParser",
        "outport":"",
        "inport":"",
        "to":"SelectField"
      },
      {
        "from":"SelectField",
        "outport":"",
        "inport":"data1",
        "to":"Merge"
      },
      {
        "from":"CsvParser",
        "outport":"",
        "inport":"data2",
        "to":"Merge"
      },
      {
        "from":"Merge",
        "outport":"",
        "inport":"",
        "to":"Fork"
      },
      {
        "from":"Fork",
        "outport":"out1",
        "inport":"",
        "to":"PutHiveStreaming"
      },
      {
        "from":"Fork",
        "outport":"out2",
        "inport":"",
        "to":"JsonSave"
      },
      {
        "from":"Fork",
        "outport":"out3",
        "inport":"",
        "to":"CsvSave"
      }
    ]
    

    } }

  • curl -0 -X POST http://10.0.86.191:8002/flow/start -H "Content-type: application/json" -d 'this is your flow json'

• piflow web