streaming

RestSharp AddFile Using Stream

由 萝らか妹 提交于 2020-05-08 06:33:36
问题 I am using RestSharp (version 105.2.3.0 in Visual Studio 2013, .net 4.5) to call a NodeJS hosted webservice. One of the calls I need to make is to upload a file. Using a RESTSharp request, if I retrieve the stream from my end into a byte array and pass that to AddFile, it works fine. However, I would much rather stream the contents and not load up entire files in server memory (the files can be 100's of MB). If I set up an Action to copy my stream (see below), I get an exception at the

RestSharp AddFile Using Stream

由 风格不统一 提交于 2020-05-08 06:32:48
问题 I am using RestSharp (version 105.2.3.0 in Visual Studio 2013, .net 4.5) to call a NodeJS hosted webservice. One of the calls I need to make is to upload a file. Using a RESTSharp request, if I retrieve the stream from my end into a byte array and pass that to AddFile, it works fine. However, I would much rather stream the contents and not load up entire files in server memory (the files can be 100's of MB). If I set up an Action to copy my stream (see below), I get an exception at the

RestSharp AddFile Using Stream

由 落花浮王杯 提交于 2020-05-08 06:32:43
问题 I am using RestSharp (version 105.2.3.0 in Visual Studio 2013, .net 4.5) to call a NodeJS hosted webservice. One of the calls I need to make is to upload a file. Using a RESTSharp request, if I retrieve the stream from my end into a byte array and pass that to AddFile, it works fine. However, I would much rather stream the contents and not load up entire files in server memory (the files can be 100's of MB). If I set up an Action to copy my stream (see below), I get an exception at the

R / Twitter Live Streaming: Error: The stream disconnected prematurely

由 偶尔善良 提交于 2020-04-13 17:14:06
问题 I would need to keep collecting tweets to live stream data and show insights in Power BI. I have the following R code to stream tweets continuously. It tries to scrap tweets every 10 seconds. After first 10-14 times, it throws an error: The stream disconnected prematurely. Reconnecting... Below is the code: q <- "maths" streamtime <- 10 filename <- "test.json" rt <- stream_tweets(q = q, timeout = streamtime, file_name = filename) How do I overcome this limitation? 来源： https://stackoverflow

R / Twitter Live Streaming: Error: The stream disconnected prematurely

由 帅比萌擦擦* 提交于 2020-04-13 17:13:26
问题 I would need to keep collecting tweets to live stream data and show insights in Power BI. I have the following R code to stream tweets continuously. It tries to scrap tweets every 10 seconds. After first 10-14 times, it throws an error: The stream disconnected prematurely. Reconnecting... Below is the code: q <- "maths" streamtime <- 10 filename <- "test.json" rt <- stream_tweets(q = q, timeout = streamtime, file_name = filename) How do I overcome this limitation? 来源： https://stackoverflow

Unable to get any data when spark streaming program in run taking source as textFileStream

由 徘徊边缘 提交于 2020-03-24 00:02:28
问题 I am running following code on Spark shell >`spark-shell scala> import org.apache.spark.streaming._ import org.apache.spark.streaming._ scala> import org.apache.spark._ import org.apache.spark._ scala> object sparkClient{ | def main(args : Array[String]) | { | val ssc = new StreamingContext(sc,Seconds(1)) | val Dstreaminput = ssc.textFileStream("hdfs:///POC/SPARK/DATA/*") | val transformed = Dstreaminput.flatMap(word => word.split(" ")) | val mapped = transformed.map(word => if(word.contains(

Unable to get any data when spark streaming program in run taking source as textFileStream

由 拥有回忆 提交于 2020-03-23 23:57:06
问题 I am running following code on Spark shell >`spark-shell scala> import org.apache.spark.streaming._ import org.apache.spark.streaming._ scala> import org.apache.spark._ import org.apache.spark._ scala> object sparkClient{ | def main(args : Array[String]) | { | val ssc = new StreamingContext(sc,Seconds(1)) | val Dstreaminput = ssc.textFileStream("hdfs:///POC/SPARK/DATA/*") | val transformed = Dstreaminput.flatMap(word => word.split(" ")) | val mapped = transformed.map(word => if(word.contains(

Spark大数据分析框架的核心部件

由 為{幸葍}努か 提交于 2020-03-20 22:28:41
3 月，跳不动了？>>> Spark大数据分析框架的核心部件 Spark大数据分析框架的核心部件包含RDD内存数据结构、Streaming流计算框架、GraphX图计算与网状数据挖掘、MLlib机器学习支持框架、Spark SQL数据检索语言、Tachyon文件系统、SparkR计算引擎等主要部件。这里做一个简单的介绍。 一、RDD内存数据结构 大数据分析系统一般包括数据获取、数据清洗、数据处理、数据分析、报表输出等子系统。Spark为了方便数据处理、提升性能，专门引入了RDD数据内存结构，这一点与R的机制非常类似。用户程序只需要访问RDD的结构，与存储系统的数据调度、交换都由提供者驱动去实现。RDD可以与Haoop的HBase、HDFS等交互，用作数据存储系统，当然也可以通过扩展支持很多其它的数据存储系统。 因为有了RDD，应用模型就与物理存储分离开来，而且能够更容易地处理大量数据记录遍历搜索的情况，这一点非常重要。因为Hadoop的结构主要适用于顺序处理，要翻回去反复检索数据的话效率就非常低下，而且缺乏一个统一的实现框架，由算法开发者自己去想办法实现。毫无疑问，这具有相当大的难度。RDD的出现，使这一问题得到了一定程度的解决。但正因为RDD是核心部件、实现难度大，这一块的性能、容量、稳定性直接决定着其它算法的实现程度。从目前看，还是经常会出现RDD占用的内存过载出问题的情况。

heartbeat + pacemaker实现pg流复制自动切换

由 ＊爱你＆永不变心＊ 提交于 2020-03-02 09:07:26
heartbeat + pacemaker + postgres_streaming_replication 说明： 该文档用于说明以 hearbeat +pacemaker 的方式实现 PostgreSQL 流复制自动切换。注意内容包括有关 hearbeat /pacemaker 知识总结以及整个环境的搭建过程和问题处理。 一、介绍 Heartbeat 自 3 版本开始， heartbeat 将原来项目拆分为了多个子项目（即多个独立组件），现在的组件包括： heartbeat 、 cluster-glue 、 resource-agents 。 各组件主要功能： heartbeat ：属于集群的信息层，负责维护集群中所有节点的信息以及各节点之间的通信。 cluster-glue ：包括 LRM （本地资源管理器）、 STONITH ，将 heartbeat 与 crm （集群资源管理器）联系起来，属于一个中间层。 resource-agents ：即各种资源脚本，由 LRM 调用从而实现各个资源的启动、停止、监控等。 Heartbeat 内部组件关系图： Pacemaker Pacemaker ，即 Cluster Resource Manager （ CRM ），管理整个 HA ，客户端通过 pacemaker 管理监控整个集群。 常用的集群管理工具： （ 1 ）基于命令行

synchronizing audio over a network

由 柔情痞子 提交于 2020-02-26 04:32:07
问题 I'm in startup of designing a client/server audio system which can stream audio arbitrarily over a network. One central server pumps out an audio stream and x number of clients receives the audio data and plays it. So far no magic needed and I have even got this scenario to work with VLC media player out of the box. However, the tricky part seems to be synchronizing the audio playback so that all clients are in audible synch (actual latency can be allowed as long as it is perceived to be in
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