Source: http://blog.sina.com.cn/s/blog_6035432c0100hb1p.html
A typical DC motor control circuit is shown in the figure above. The circuit is named after the "H-Bridge drive circuit" because its shape resembles the letter H. 4 transistors make up the 4 vertical legs of h, and the motor is the horizontal bar in H (Note: The figure is a schematic, not a complete circuit diagram, where the transistor's drive circuit is not drawn).
The H-bridge motor dri
Flume, as a Log collection tool, exhibits a very powerful capability in data collection. Its source, SINK, channel three components of this mode, to complete the data reception, caching, sending this process, has a very perfect fit. But here, we want to say is not flume how good or flume have what merit, we want to talk about is
Example 1: Type Avro, create a avro.conf for testing in the Conf of Flume, as follows:A1.sources = R1A1.sinks = K1A1.channels = C1
# Describe/configure The sourceA1.sources.r1.type = AvroA1.sources.r1.channels = C1A1.sources.r1.bind = 0.0.0.0A1.sources.r1.port = 44444
# Describe The sinkA1.sinks.k1.type = Logger
# Use a channel which buffers events in memoryA1.channels.c1.type = Memorya1.channels.c1.capacity = 1000a1.channels.c1.transactionCapacity =
Recently in a distributed call chain tracking system,Flume is used in two places, one is the host system, and the flume agent is used for log collection. One is to write HBase from Kafka log parsing.After this flume (from Kafka log analysis after writing flume) with 3 units, the system went online, after the online thr
Using Apache flume crawl data, how to crawl it? But before we get to the point, we have to be clear about what Apacheflume is.First, what is Apache FlumeApache Flume is a high-performance system for data acquisition, named after the original near real-time log data acquisition tool, which is now widely used for any stream event data acquisition and supports aggregating data from many data sources into HDFs.
Project requirements is the online server generated log information real-time import Kafka, using agent and collector layered transmission, app data passed through the thrift to agent,agent through Avro Sink to send the data to collector, Collector The data together and sends it to Kafka, the topology is as follows:
The problems encountered during debugging and the resolution are documented as follows:
1, [Error-org.apache.thrift.server.abstractnonblockingserver$framebuffer.invoke (AbstractN
"Extends Rigid;Parameter Momentofinertia J = 1 "moment of inertia";angularvelocity w "Absolute angular velocity of component";Angularacceleration a "Absolute angular acceleration of component";EquationW = der (phi);A = der (W);J*a = Rotflange_a.tau + Rotflange_b.tau;End inertia; From Modelica.Mechanics.RotationalPartial model Twopin//Same as Oneport in Modelica.Electrical.Analog.Interfaces"Component with II electrical pins p and N and current I from P to n"Voltage V "Voltage drop between the pin
// TODO: add the control notification handler code CDC * pDC = new CDC (); // generate the font CFont font; font. createFont (0,900, FW_NORMAL, 0, 0, ANSI_CHARSET, OUT_TT_PRECIS, CLIP_TT_ALWAYS, PROOF_QUALITY, VARIABLE_PITCH | FF_ROMAN, _ T (" ")); // The first is the font size, and the third is the font direction. // create the screen DCpDC-> CreateDC (_ T ("DISPLAY"), NULL ); // select the font CFont * pOldFont = pDC-> SelectObject ( font) in DC; //
There are three main methods to get an HDC handle of the client area on the window.
1. Call the beginpaint () method in the wm_paint message. The beginpaint method returns an HDC handle for the currently invalid region and sets the invalid region as the valid region. The so-called invalid region is the region that requires the application to re-draw, and the opposite is the valid region. When beginpaint is called, a paintstruct structure is returned at the same time. The clip rectangle for this
Getdc
VB statementDeclare function getdc lib "USER32" alias "getdc" (byval hwnd as long) as longDescriptionObtains the device scenario of a specified window.Return ValueLong: Specifies the device scenario handle of the window. If an error occurs, it is 0.Parameter tableParameter type and descriptionHwnd long gets the handle of the window in the device scenario. If the value is 0, you need to obtain the DC of the entire screen.AnnotationIf the window
+ + compiled DLLs), malloc words can only have C + + themselves know how to release the
The assigned content includes Bitmapinfoheader + PALETTE (palette) + bitmap contentLPVOID ptr= (LPVOID) GlobalLock (HDIB);* (bitmapinfoheader*) ptr=bih;//save that Bitmapinfoheader to the memory we allocateHDC Xdc=getdc (NULL);Hpalette hpal= (Hpalette) getstockobject (Default_palette);Hpalette holdpal= (Hpalette) SelectPalette (Xdc,hpal,false);RealizePalette (XDC);if (! GetDIBits (hscrdc,hbitmap,0,600,(LPST
OverviewThis time spent part of the time processing the message bus and log docking. Here to share some of the problems encountered in log collection and log parsing and processing scenarios.
Log capture-flumelogstash VS flumeFirst, let's talk about our selection on the log collector. Since we chose to use Elasticsearch as a log of storage with search engines. And based on the Elk (Elasticsearch,logstash,kibana) technology stack in the direction of the log system is so popular, so the Logstash
Recently, an ELK architecture is used for log collection. the intermediate data collection is changed from logstash to flume. The following is the installation of flume: because flume and Elasticsearch are both developed in java, so the java is deployed before installation, ES does not support java1.7, because there is a major bug, so choose jdk-8u51-linux-x64.rp
1. Create a Agent,sink type to be specified as a custom sinkVi/usr/local/flume/conf/agent3.confAgent3.sources=as1Agent3.channels=c1Agent3.sinks=s1Agent3.sources.as1.type=avroagent3.sources.as1.bind=0.0.0.0agent3.sources.as1.port=41414Agent3.sources.as1.channels=c1Agent3.channels.c1.type=memoryAgent3.sinks.s1.type=storm.test.kafka.testkafkasinkAgent3.sinks.s1.channel=c12. Create custom Kafka Sink (custom Kafka sink packaging is the producer of Kafka),
Tag: Connect a storage span through the self-starter installation package StrongOverview
Flume is a distributed, reliable, and highly available system for collecting, aggregating, and transmitting large volumes of logs.
Flume can collect files,socket packets and other forms of source data, but also can export the collected data to HDFS,hbase , Many external storage systems such as Hive, Kafka,
One: Flume Introduction and function
II: Flume installation and configuration and simple testing
A: Flume introduction and Functional Architecture 1.1 Flume Introduction: 1.1.1 Flume是Cloudera提供的一个高可用的,高可靠的,分布式的海量日志采集、聚合和传输的系统,
Flume as a log acquisition system, has a unique application and advantages, then flume in the actual application and practice in the end what is it? Let us embark on the Flume road together.1. what is Apache Flume(1) Apache Flume is simply a high-performance, distributed l
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