stateful

Differences : @SessionScoped vs @Stateful and @ApplicationScoped vs @Singleton [closed]

梦想与她 提交于 2019-12-18 13:08:31
问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 3 years ago . I would like to know, what are the principal differences between : javax.enterprise.context.SessionScoped and javax.ejb.Stateful javax.enterprise.context.ApplicationScoped and javax.ejb.Singleton I know that a @SessionScoped and a @Stateful allows to create a new instance for each

Can I assume allocators don't hold their memory pool directly (and can therefore be copied)?

a 夏天 提交于 2019-12-17 19:22:12
问题 I'm writing a container and would like to permit the user to use custom allocators, but I can't tell if I should pass allocators around by reference or by value. Is it guaranteed (or at least, a reasonable assumption to make) that an allocator object will not contain its memory pool directly, and hence it would be OK to copy an allocator and expect the memory pools of the allocators to be cross-compatible? Or do I always need to pass allocators by reference? (I have found that passing by

Understanding stateful LSTM

房东的猫 提交于 2019-12-17 15:58:07
问题 I'm going through this tutorial on RNNs/LSTMs and I'm having quite a hard time understanding stateful LSTMs. My questions are as follows : 1. Training batching size In the Keras docs on RNNs, I found out that the hidden state of the sample in i -th position within the batch will be fed as input hidden state for the sample in i -th position in the next batch. Does that mean that if we want to pass the hidden state from sample to sample we have to use batches of size 1 and therefore perform

Stateful EJBs in web application?

风流意气都作罢 提交于 2019-12-17 10:34:33
问题 I never used stateful EJBs. I understand that a stateful EJB can be useful with a java client. But i wonder: in which case to use them on a web application? And how? Should we put these stateful beans in Session (because of stateless http)? Is it a good practice? (without debating too much about stateful vs stateless) 回答1: Funny enough, it's a 2nd question on SFSB and web app for the day, while this topic is usually not that common. in which case to use them on a web application? The

How to instantiate a MapStateDescriptor in Fink to compute multiple averages stream queries?

安稳与你 提交于 2019-12-13 03:45:33
问题 I am trying to compute the temperature average of 3 different rooms where each room has 3 temperature sensors. I am using Flink (in Java). First I split the sensors by a key that is the room (A, B, or C) and them I create a RichFlatMapFunction which holds a MapState to save the temperature while I don't have until 3 measurements. After three measurements I compute the average. In order to use the MapState I need a MapStateDescriptor which I don't know how to instantiate properly. Can someone

EJB3 stateful concurrent calls from different clients

流过昼夜 提交于 2019-12-12 19:15:47
问题 I have a rich client swing application calling a remote stateful ejb. I'm using JBoss 6.0. I have deployed the client in two different machines, i.e, different ip address, jvms, etc. The stateful has the following code: @Stateful public class MyStateful implements MyStatefulRemote{ public void test(){ System.out.println(this); System.out.println(Thread.currentThread()); System.out.println(Thread.currentThread().getThreadGroup()); // cpu intensive task String value = ""; for (int j = 0; j <

Input to reshape is a tensor with 2 * “batch_size” values, but the requested shape has “batch_size”

前提是你 提交于 2019-12-12 17:35:43
问题 I want to make a RNN using a Keras sequential model with a tensorflow backend. When I implement the following code: batch_size = 8 batch_inputshape = (batch_size,x_train.shape[1],x_train.shape[2]) print(batch_inputshape) #(8, 600, 103) ​ model = Sequential() model.add(LSTM(103, batch_input_shape = batch_inputshape, return_sequences = True, stateful = True)) model.add(Dropout(0.2)) ​ model.add(LSTM(50, return_sequences = True, stateful = True)) model.add(Dropout(0.2)) ​ ​ model.add

spark structured streaming multiple aggregation keys on same stream data

百般思念 提交于 2019-12-12 10:58:19
问题 Am a newbie in Spark and I have this prototype application based on Spark Structured Streaming wherein am continuously reading stream data from Kafka. On this stream data lets say I have to apply multiple aggregations: 1) group by key1 and generate sum and count 2)group by key1 and key2 and generate count and so on... If I create the above 2 aggregations as streaming queries , two independent streaming queries are created each reading from kafka independently which is not what I want. Caching

Drools 6.1.0 DefaultFactHandle NotSerializable exception

纵饮孤独 提交于 2019-12-12 05:48:20
问题 We are running drools 6.1.0 on Weblogic 12.1.2 as a stateless EJB 3.0 Bean. The bean returns the following exception when there is more load on the server during the initialization process when it is creating new instances in the pool. EJB Exception: : java.lang.RuntimeException: java.io.NotSerializableException: org.drools.core.common.DefaultFactHandle at org.drools.core.util.ClassUtils.deepClone(ClassUtils.java:514) at org.drools.core.definitions.impl.KnowledgePackageImpl

Achieving Kubernetes deployment of a stateful application with short lived and exclusive user sessions?

梦想的初衷 提交于 2019-12-11 18:57:36
问题 I'm looking into the design of a system where hopefully many parts will map well to a Kubernetes based deployment by becoming single purpose, stateless services. However some parts are unlikely to fit that model well and I am looking for help with understanding what options might be best to explore for those parts.. Specifically I expect to have some applications which form the backend of a highly interactive UI. The backend will present views derived from large data sets based on continual