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java.io.IOException: Attempted read on closed stream.
尝试读取关闭流。
出现这种情况，一个原因可能是 把客户端与服务端的连接对象关闭了 或是 清空了。
ServiceClient sender = getSender();
sender.setOptions(webTest.buildOptions("getCarsList"));
OMElement result = sender.sendReceive(webTest.buildParam("getCarsList"));
// sender.cleanupTransport();
return result.toString();
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java.io.IOException: Attempted read on closed stream.可能原因及解决方案
java.io.IOException:Attempted read on closed stream. W/System.err(14042):atorg.apache.http.conn.EofSensorInputStream.isReadAllowed(EofSensorInputStream.java:127) W/System.err(14042):atorg.apache.htt
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java.io.IOException: Attempted read on closed stream
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clickhouse jdbc读取批量数据 报java.io.IOException: Attempted read on closed stream
jdbc 报java.io.IOException: Attempted read on closed stream
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Attempted read on closed stream
这个方法只能调用一次，entity所得到的流是不可重复读取的也就是说所得的到实体只能一次消耗完,不能多次读取。 转载于:https://www.cnblogs.com/fuckingPangzi/p/10451107.html...
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使用HttpClient出现java.io.IOException: Attempted read from closed stream
问题描述： 使用httpClient时候，出现java.io.IOException: Attempted read from closed stream. 原始代码： 1 public static String postJosn(String url, String jsonString) throws Exception { 2 3 ...
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B. Palm", title = "Prediction as a candidate for learning deep hierarchical models of data", year = "2012",}```Contact: rasmusbergpalm at gmail dot comDirectories included in the toolbox-----------------------------------`NN/` - A library for Feedforward Backpropagation Neural Networks`CNN/` - A library for Convolutional Neural Networks`DBN/` - A library for Deep Belief Networks`SAE/` - A library for Stacked Auto-Encoders`CAE/` - A library for Convolutional Auto-Encoders`util/` - Utility functions used by the libraries`data/` - Data used by the examples`tests/` - unit tests to verify toolbox is workingFor references on each library check REFS.mdSetup-----1. Download.2. addpath(genpath('DeepLearnToolbox'));Example: Deep Belief Network---------------------```matlabfunction test_example_DBNload mnist_uint8;train_x = double(train_x) / 255;test_x = double(test_x) / 255;train_y = double(train_y);test_y = double(test_y);%% ex1 train a 100 hidden unit RBM and visualize its weightsrand('state',0)dbn.sizes = [100];opts.numepochs = 1;opts.batchsize = 100;opts.momentum = 0;opts.alpha = 1;dbn = dbnsetup(dbn, train_x, opts);dbn = dbntrain(dbn, train_x, opts);figure; visualize(dbn.rbm{1}.W'); % Visualize the RBM weights%% ex2 train a 100-100 hidden unit DBN and use its weights to initialize a NNrand('state',0)%train dbndbn.sizes = [100 100];opts.numepochs = 1;opts.batchsize = 100;opts.momentum = 0;opts.alpha = 1;dbn = dbnsetup(dbn, train_x, opts);dbn = dbntrain(dbn, train_x, opts);%unfold dbn to nnnn = dbnunfoldtonn(dbn, 10);nn.activation_function = 'sigm';%train nnopts.numepochs = 1;opts.batchsize = 100;nn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.10, 'Too big error');```Example: Stacked Auto-Encoders---------------------```matlabfunction test_example_SAEload mnist_uint8;train_x = double(train_x)/255;test_x = double(test_x)/255;train_y = double(train_y);test_y = double(test_y);%% ex1 train a 100 hidden unit SDAE and use it to initialize a FFNN% Setup and train a stacked denoising autoencoder (SDAE)rand('state',0)sae = saesetup([784 100]);sae.ae{1}.activation_function = 'sigm';sae.ae{1}.learningRate = 1;sae.ae{1}.inputZeroMaskedFraction = 0.5;opts.numepochs = 1;opts.batchsize = 100;sae = saetrain(sae, train_x, opts);visualize(sae.ae{1}.W{1}(:,2:end)')% Use the SDAE to initialize a FFNNnn = nnsetup([784 100 10]);nn.activation_function = 'sigm';nn.learningRate = 1;nn.W{1} = sae.ae{1}.W{1};% Train the FFNNopts.numepochs = 1;opts.batchsize = 100;nn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.16, 'Too big error');```Example: Convolutional Neural Nets---------------------```matlabfunction test_example_CNNload mnist_uint8;train_x = double(reshape(train_x',28,28,60000))/255;test_x = double(reshape(test_x',28,28,10000))/255;train_y = double(train_y');test_y = double(test_y');%% ex1 Train a 6c-2s-12c-2s Convolutional neural network %will run 1 epoch in about 200 second and get around 11% error. %With 100 epochs you'll get around 1.2% errorrand('state',0)cnn.layers = { struct('type', 'i') %input layer struct('type', 'c', 'outputmaps', 6, 'kernelsize', 5) %convolution layer struct('type', 's', 'scale', 2) %sub sampling layer struct('type', 'c', 'outputmaps', 12, 'kernelsize', 5) %convolution layer struct('type', 's', 'scale', 2) %subsampling layer};cnn = cnnsetup(cnn, train_x, train_y);opts.alpha = 1;opts.batchsize = 50;opts.numepochs = 1;cnn = cnntrain(cnn, train_x, train_y, opts);[er, bad] = cnntest(cnn, test_x, test_y);%plot mean squared errorfigure; 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使用HttpClient的时候报错java.io.IOException: Attempted read from closed stream
使用HttpClient的时候报错java.io.IOException: Attempted read from closed stream
Attempted read from closed stream
java.lang.RuntimeException: java.io.IOException: Attempted read from closed stream 错误通常表示程序试图从一个已经关闭的流中读取数据。在Java中，一旦一个流被关闭，任何尝试从该流中读取数据的操作都会抛出IOException。
记一次 java.io.IOException: Attempted read from closed stream
在一次项目问题排查过程中，发现总是 报错 java.io.IOException: Attempted read from closed stream，根据异常的堆栈分析，定位到了问题的根源。 问题示例如下： public class Main { public static void main(String[] args) throws ClientProtocolException,...
java.io.IOException: Attempted read from closed stream
前言： 代码如下，执行的时候提示“java.io.IOException: Attempted read from closed stream.” public static JSONObject post(String url,StringBuffer params,String token ){ CloseableHttpClient httpClient = Ht...
Attempted read from closed stream.
今天遇到这个问题，记录一下，从Httpclient中获取Entity时报的错误 java.io.IOException: Attempted read from closed stream. at org.apache.http.impl.io.ChunkedInputStream.read(ChunkedInputStream.java:177) at org.apache.http.con...
【BUG日记】【Http】java.io.IOException: Attempted read from closed stream.
【日期】： 2020/11/24 【问题】： 运行项目的时候，请求报错： java.io.IOException: Attempted read from closed stream. at org.apache.http.impl.io.ContentLengthInputStream.read(ContentLengthInputStream.java:165) at org.apache.http.conn.EofSensorInputStream.read(EofSensorInputStr
java.io.IOException: Attempted read from closed stream.
java.io.IOException: Attempted read from closed stream.
java.io.IOException: Attempted read from closed stream.异常分析
在HttpClient请求的时候，返回结果解析时出现java.io.IOException: Attempted read from closed stream. 异常，解决 注意:原因是EntityUtils.toString(HttpEntity)方法被使用了多次。所以每个方法内只能使用一次。切记System.out.print打印也是使用一次。再次执行方法无效。 ...
java.io.IOException: Attempted read from closed stream. 异常，解决
在HttpClient请求的时候，返回结果解析时出现java.io.IOException: Attempted read from closed stream. 异常，解决 原因是EntityUtils.toString(HttpEntity)方法被使用了多次。所以每个方法内只能使用一次。 ...
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