batching

问题 In Azure worker roles, you can create a batch job that processes a list of messages. I'm wondering if there is something similar to that for Azure WebJobs? Currently you can trigger a webjob from a queue as follows: public static void ProcessQueueMessage([QueueTrigger("queue")] string message, TextWriter log) Is there some way to pull and process a list of messages? 回答1: No, there is no inbuilt binding for a batch of Queue messages currently. However, someone in the community has recently

问题 I have implemented a producer..consumer pattern using TPL data flow. The use case is that code reads messages from the Kafka bus. For efficiency, we need to process messages in batches when going to the database. Is there a way in TPL data flow to hold on to the message and fire whenever a size or duration threshold is hit? Example, the current implementation post the message once it is pulled from the queue. postedSuccessfully = targetBuffer.Post(msg.Value); 回答1: Buffering by count and

问题 I have implemented a producer..consumer pattern using TPL data flow. The use case is that code reads messages from the Kafka bus. For efficiency, we need to process messages in batches when going to the database. Is there a way in TPL data flow to hold on to the message and fire whenever a size or duration threshold is hit? Example, the current implementation post the message once it is pulled from the queue. postedSuccessfully = targetBuffer.Post(msg.Value); 回答1: Buffering by count and

问题 I'm learn tensorflow2.0 from official tutorials.I can understand the result from below code. def square_if_positive(x): return [i ** 2 if i > 0 else i for i in x] square_if_positive(range(-5, 5)) # result [-5, -4, -3, -2, -1, 0, 1, 4, 9, 16] But if I change the inputs with tensor not python code, just like this def square_if_positive(x): return [i ** 2 if i > 0 else i for i in x] square_if_positive(tf.range(-5, 5)) I get below error!! OperatorNotAllowedInGraphError Traceback (most recent call

问题 Is it logical to do as below in Keras in order not to run out of memory? for path in ['xaa', 'xab', 'xac', 'xad']: x_train, y_train = prepare_data(path) model.fit(x_train, y_train, batch_size=50, epochs=20, shuffle=True) model.save('model') 回答1: It is, but prefer model.train_on_batch if each iteration is generating a single batch. This eliminates some overhead that comes with fit . You can also try to create a generator and use model.fit_generator() : def dataGenerator(pathes, batch_size):

问题 I was wondering what the best way is to batch a given set of numbers in terms of a processing time. Take items: 9, 18, 7, 8, 4, 9, 11, 15, 3, 8, (item 1 has a processing time of 9, item 2 has a processing time of 18, etc.) If the batch processing time limit is set to say 20, then a possible grouping of the items into batches would be: {1, 3, 5} {2} {4, 6} {8, 9} {7, 10} (group 1 is 9+7+4=20) etc so 5 batches of items have been made where the contents are <= 20. Ideally i want it to sort them

问题 I'm writing a batch file that runs the below command winscp sftp://username:password@host.com:22 /privatekey=pgp530.ppk The output is as follows Searching for host... Connecting to host... Authenticating... Using username "username". Authenticating with public key "imported-openssh-key". Passphrase for key 'imported-openssh-key': Is there any way to have the batch file enter the passphrase when prompted? Thanks! 回答1: Why not just create a private key without a password, or remove the password

问题 NHibernate with MySQL Dialect does not support Batching out of the box. I have found custom MySQL Batcher for NHibernate on nuget. Also, following is the github link: https://github.com/Andorbal/NHibernate.MySQLBatcher But I do not know how to inject/set this into my hibernate.cfg.xml configuration. How to configure custom MySQL NHibernate Batcher? 回答1: The property you need to set is call "adonet.factory_class". Use any of the following: <property name="adonet.factory_class">assembly

问题 I have an array that contains an array of promises, and each inner array could have either 4k, 2k or 500 promises. In total there are around 60k promises and I may test it with other values as well. Now I need to execute the Promise.all(BigArray[0]) . Once the first inner array is done, I need to execute the next Promise.all(BigArray[1]) and so on and so on. If I try to execute a Promise.all(BigArray) it's throwing: fatal error call_and_retry_2 allocation failed - process out of memory I need

问题 I'm currently working with upgrading and restructuring an OpenGL render engine. The engine is used for visualising large scenes of architectural data (buildings with interior), and the amount of objects can become rather large. As is the case with any building, there is a lot of occluded objects within walls, and you naturally only see the objects that are in the same room as you, or the exterior if you are on the outside. This leaves a large number of objects that should be occluded through