real time data streaming kafka

, partition); returnoffsets[0]; } PrivateTreemapA_seedbrokers,intA_port, String a_topic) {TreeMapNewTreemap(); Loop: for(String seed:a_seedbrokers) {Simpleconsumer consumer=NULL; Try{Consumer=NewSimpleconsumer (seed, A_port,100000, -*1024x768, "Leaderlookup"+NewDate (). GetTime ()); Listcollections.singletonlist (a_topic); Topicmetadatarequest req=Newtopicmetadatarequest (topics); Kafka.javaapi.TopicMetadataResponse resp=Consumer.send (req); ListResp.topicsmetadata ();

Real-time Data Synchronization for Linux sersync and real-time linuxsersync Sersync uses two software technologies, inotify and rsync, to implement real-time

Advertising Product Technology department has a job always stuck on a reduce, running for several hours also run, after their initial troubleshooting to find the cause of the problem, e-mail let me help to see, I looked at this streaming job is implemented in Python, and listen to their description, March before 17 The job is no problem, here are some possible problems:1. Problem with cluster node2, the configuration parameters of the job is not corre

Android (Linux) Real-time Monitoring of serial port data, android Real-time Monitoring Previously, when I was working on the WinCE on-board solution, I had a small tool, TraceMonitor, used to display the debugging information of the application programs on the WinCE system,

1, the previous article Vue the use of vue2-highcharts to implement curve data display example is to use Vue2-highcharts to implement the historical curve, a series of (multiple data points) in a curved way. Real-time curve, every minute, add a point, in real

Original: 100 Cluster Storage Systems and real-time data backup, real-time Cluster Server description Internet IP (NAT) Intranet IP (NAT) Host NameApache web Server 10.0.0.7/24 172.16.1.7/24 web02Nginx web Server 10.0.0.8/24 172.16.1.8/24 web01NFS storage server 10.0.0.31/24

1. Churyang Summary AWS Services are all based on SOA architectures that can be called when needed For real-time streaming of Big data, AWS offers both legacy and full host scenarios The legacy scenario is EC2 Deployment Flume (Capture), Kafka (

system with a high degree of focus on streaming. Storm is outstanding in event processing and incremental computing, and is able to process data streams in real time based on changing parameters. Although Storm provides primitives to achieve universal distribution of RPC and can theoretically be used as part of any di

Real-time changes (daily) data comes from queries of a large amount of data, resulting in loading of real-time changes (daily) data from queries of a large amount of

Real-time Change (daily) data from a large number of data queries, resulting in loading takes a long time, ask how to optimize For example, the user list has a user A he invited a lot of members a1,a2,a3 ... An, member A1 also invited a lot of members a11,a12,a13 ... A1n A2

Transferred from: http://blog.csdn.net/wzy0623/article/details/73650053First, why to use Flume in the past to build HAWQ Data Warehouse experimental environment, I use Sqoop extract from the MySQL database incrementally extract data to HDFs, and then use the HAWQ external table for access. This method requires only a small amount of configuration to complete the data