neoremind / kraps-rpc Goto Github PK
View Code? Open in Web Editor NEWA RPC framework leveraging Spark RPC module
License: Apache License 2.0
A RPC framework leveraging Spark RPC module
License: Apache License 2.0
in some cases, we need return a set of results on server side, for example, executing a JDBC query:
val rs = con.execute("select * from person")
while(rs.hasNext){
val result = rs.next
...
}
how to use kraps-rpc to handle this application case?
should I send a set of requests(with cursor information) one by one on client side?
needs your kindly help!
Do you have any versions for scala 2.12?
I want to use kraps in my project, which depends on Scala2.12 :(
1.3.1 Asynchronous invocation Client in README.md
val endPointRef: RpcEndpointRef = rpcEnv.setupEndpointRef(RpcAddress("localhost", 52345), "hell-service")
should not be
val endPointRef: RpcEndpointRef = rpcEnv.setupEndpointRef(RpcAddress("localhost", 52345), "hello-service")
?
I find usage of them at
new NettyRpcEnv(sparkConf, javaSerializerInstance, config.advertiseAddress,
config.securityManager, config.numUsableCores)
val startNettyRpcEnv: Int => (NettyRpcEnv, Int) = { actualPort =>
nettyEnv.startServer(config.bindAddress, actualPort)
It seems advertiseAddress is used to construct RpcAddress while bindAddress is used to start server. Why are the two address needed?
Thanks :)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.