spark thrift server example

. serve () print "Done! " 4. Prepare the client #! /Usr/bin/env pythonimport syssys. path. append ('. /gen-py ') from helloworld import HelloWorld # introduce the client class from thrift import Thrift from thrift. transport import TSocketfrom thrift. transport import TTransportfrom

, etc.) for your client.(2) Define protocal, use decorative mode (decorator design mode) to encapsulate Ttransport, set encoding format for your data (such as binary format, JSON format, etc.)(3) Instantiate the client object and invoke the service interface.Note: If the user defines a service called ${server_name} in the thrift file, an object called ${server_name}client is generated.2.2 Server-side code a

Welcome reprint, with the link can be http://blog.csdn.net/superye1983/article/details/51190166 A recent project, the idea is Nginx+lua+thrift Thrift is a popular RPC framework, and many companies have experience in large-scale use, but there is little on-line information about Thrift-lua and example Apache

[Spark] [Python] Example of Spark accessing MySQL, generating dataframe:Mydf001=sqlcontext.read.format ("jdbc"). Option ("url", "Jdbc:mysql://localhost/loudacre") \. Option ("DBTable", "accounts"). Option ("User", "training"). Option ("Password", "training"). Load ()In []: Mydf001=sqlcontext.read.format ("jdbc"). Option ("url", "Jdbc:mysql://localhost/loudacre")

-*-__author__='author' fromPy.com.fubin.nettyImportPersonservice fromPythonserviceimplImportPersonserviceimpl fromPy.com.fubin.nettyImportTtypes fromThriftImportThrift fromThrift.transportImportTsocket fromThrift.transportImportTtransport fromThrift.protocolImportTcompactprotocol fromThrift.serverImportTserverImportsysreload (SYS) sys.setdefaultencoding ('Utf-8')Try: Personservicehandler=Personserviceimpl () processor=personservice.processor (personservicehandler) ServerSocket= Tsocket.tserverso

modified in the default Servhandler:printf ("sno=%d sname=%s ssex=%dsage=%d/n", S.sno, S.sname.c_str (), S.ssex, s.sage);In the project to set the corresponding header file directory, you can refer to my:Gen-cpp, .... \CPP\SRC, .... \cpp\openssl-1.0.1e;d:\boost_1_57_0;Library Directory:D:\boost\boost_1_57_0\bin\vc12-x64\lib;again, create a new client project.The same can be referred to 3, also need to removeCopy the folder Gen-cpp in the past and copy the CppClient.cpp in the \

In the previous article (Thrift Java and PHP Data interaction http://my.oschina.net/penngo/blog/489311) only introduced Java as the server side, but "PHP is the best language", Naturally less PHP developed by the thrift server side.Business example used, or login and registr

Tags: style blog color io os using Java AR forStart Thriftjdbcserver:CD $SPARK _home/sbinstart-thriftserver. SH To access the Thriftjdbcserver code snippet using JDBC: PackageCom.luogankun.spark.sqlImportJava.sql.DriverManagerImportjava.sql.ConnectionImportjava.sql.PreparedStatement/*** JDBC Code access thrift JDBC Server *@authorLuogankun*/Object Jdbcthriftserve

Next, take thrift as an example. As a server, it should be able to receive data from multiple clients at the same time, so the server should implement a multi-threaded mechanism. Follow these three steps to rewrite the server (serv_server.skeleton.cpp) to implement multithre

[Spark] [Python] Example of a dataframe in which a limited record is taken:SqlContext = Hivecontext (SC)PEOPLEDF = SqlContext.read.json ("People.json")Peopledf.limit (3). Show ()===[Email protected] ~]$ HDFs dfs-cat People.json{"Name": "Alice", "Pcode": "94304"}{"Name": "Brayden", "age": +, "Pcode": "94304"}{"Name": "Carla", "age": +, "Pcoe": "10036"}{"Name": "Diana", "Age": 46}{"Name": "Etienne", "Pcode":

following jar package (for example, place the package in the/opt/spark/managed-lib/directory, which can be arbitrary ): cassandra-clientutil-3.0.2.jarcassandra-driver-core-3.1.4.jarguava-16.0.1.jarcassandra-thrift-3.0.2.jar joda-convert-1.2.jarjoda-time-2.9.9.jarlibthrift-0.9.1.jarspark-cassandra-connector_2.10-1.5.1.jar Under the/opt/

[Spark] [Python] An example of opening a JSON file in a dataframe way:[email protected] ~]$ cat People.json{"Name": "Alice", "Pcode": "94304"}{"Name": "Brayden", "age": +, "Pcode": "94304"}{"Name": "Carla", "age": +, "Pcoe": "10036"}{"Name": "Diana", "Age": 46}{"Name": "Etienne", "Pcode": "94104"}[Email protected] ~]$[Email protected] ~]$ HDFs dfs-put People.json[Email protected] ~]$ HDFs dfs-cat People.jso