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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 :(
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 :)
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")
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