2019年2月月22日13:00–17:00朱小杰老师和沈志宏老师分享关于“大数据流水线系统piflow0.5”、“融合型图数据管理引擎PiDB0.1”两方面的技术知识。
是一个简单易用，功能强大的大数据流水线系统，即大数据ETL工具
介绍内容
特性
- 简单易用
- 提供所见即所得页面配置流水线
- 监控流水线状态
- 查看流水线日志
- 检查点功能
- 可扩展性
- 支持用户自定义开发组件
- 性能优越
- 基于分布式计算引擎Spark开发
- 功能强大
- 提供100+数据处理组件
- 包括 spark、mllib、hadoop、hive、hbase、solr、redis、memcache、elasticSearch、jdbc、mongodb、http、ftp、xml、csv、json等.
架构
环境要求
- 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
使用
第一步：Build工程
git clone https://github.com/cas-bigdatalab/piflow.git
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] ------------------------------------------------------------------------
第二步：运行Piflow Server
-
配置文件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
第三步：运行Piflow Web
- todo
第四步：使用
- 命令行
-
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’
-
- 界面piflow web
