Many times, Yarn users want to know the running parameters of a mapreduce job that they have run, and the Conf XML file contents of the job can be viewed from the Web console of the MapReduce history server. Of course, users can also log in to Yarn's Web console address, and then jump from above to the Job history Server Web console for review. This article will demonstrate this feature in a simple graphic example.Steps:1, before starting the Job hist
locatedFileinputformat.setinputpaths (Wcjob, "hdfs://hdp-server01:9000/wordcount/data/big.txt");Specify where to save the results after processing is completeFileoutputformat.setoutputpath (Wcjob, New Path ("hdfs://hdp-server01:9000/wordcount/output/"));Submit this job to the yarn clusterBoolean res = Wcjob.waitforcompletion (true);System.exit (res?0:1);}
26.2.2 Program Packaging Run1. Package The program2. Prepare input dataVi/home/hadoop/te
To the users of the illustrator software for detailed analysis to share a custom brush to create a ball of yarn tutorial.
Tutorial Sharing:
Effect 1
Effect 2
Effect 3
New document, size, unit customization, as shown below
2. Perform "View"--"Show Grid", shortcut key Ctrl + ' pull out the grid as a guide, with a circular tool to drag an oval, and then rotate-30 degrees,
Brush tool for the PS novice, is a very easy to ignore the tool, always feel that it is very simple, the role of those; in fact, even for a PS master, want to thoroughly understand the brush tool, and make some complex effects, is also very difficult.
Final effect:
The material needed to make this example:
Step 1 File New, set as follows:
Step 2 to make it easier to observe, fill it with black
Step 3 file is new, set as follows:
S
Label:1, the program can not load hive package, need to compile the spark (with Spark-shell boot, with Spark-sql can directly access hive table) in the Lib directory, test out the assembly package, for it to create a maven repository, And then add it to dependency inside. The stupidest way to create a repository is to create a path directly, and then change the name of the. Pom inside the Spark-core to copy it directly.2, when submitted with Yarn-clus
Sublime Text2 write PHP, what are the recommended plugins?? Thanks for the details.
Reply content:
Sublime Text2 write PHP, what are the recommended plugins?? Thanks for the details.
The following is said sublime text 3 , some plugins in the st2 inside can not find. I default that the landlord has been the plug-in center.Front-end Pluginsemmet: Front-end
Setup process:1. Open Sublime text-Preferences-key bindings-User2. Paste the following code:{"Keys": ["F5"], "command": "Side_bar_files_open_with", "args": { "Paths": [], "Application": "c:\\ Program Files (x86) \\Google\\Chrome\\Application\\chrome.exe ", " extensions ":". * "//any file with extension } The path here is replaced with the path of the browser you want to set. (View
Sublime shortcut key, sublime
Ctrl + N
New window
Ctrl + Shift + V
Paste and format
SelectMultiline cursor
Ctrl + Shift +
Before and after the current tag is selected
Alt + F3
Select all the same words
Ctrl + D
Select a word and repeat it to add the next same word.
Ctrl + K
Cancel the selected word
Ctrl + L
Select
[] Tasksplitmetainfo = Createsplit S (Job, job.jobid); Determine the number of map tasks Nummaptasks: The length of the array of shard metadata information, that is, how many shards there are nummaptasks job.nummaptasks = tasksplitmetainfo.length; Determine the number of reduce tasks numreducetasks, take the job parameter mapreduce.job.reduces, the parameter is not configured by default to 0 job.numreducetasks = job.conf.getInt (Mrjobcon Fig. num_reduces, 0);
ResourceManager: Managing resource CPU and memory above the clusterNodeManager: Above Run program Applicationmaster multipleabove the NodeManager .The program above MapReduce is called Mrappmaster.run Maptask or reducetask on the nodemnager above MapReduceclient: Where the user submits the Codefollow RPC communication mechanismin Hadoop2, the server code for RPC has changedThe user submits the code to the ResourceManager and needs to go through a protocol Applicationclientprotocol ResourceManage
was quietly alone and opened my own essay, record the impressions and epiphany of the next generation. I have never kept a diary, but I prefer to write as soon as possible. The texts that have been reserved for many years have been preserved until today. I occasionally read it, and many of my original feelings fade away with the passage of time. However, when I pick it up again, my heart will still be touched.
I have j blog -- " cold water month cage
I. Why should I choose centos7.0?
The official centos 7.0.1406 version was released at 17:39:42 on January 26, July 7. I used many Linux versions. For the environment configuration of hadoop2.x/yarn, I chose centos7.0 for the following reasons:
1. The interface adopts the new gnome interface of rhel7.0, which is not comparable to centos6.5/rhel6.5! (Of course, ora has adopted this style for a long time, but the current fedora package shortage is no lo
Spark-submit -- name sparksubmit_demo -- class com. luogankun. Spark. wordcount -- masterYarn-Client-- Executor-memory 1g -- total-executor-cores 1/home/spark/data/spark. Jar HDFS: // hadoop000: 8020/hello.txt
Note: hadoop_conf_dir needs to be configured for execution on the submitted yarn.
When spark is submitted, the resource application is completed at one time. That is to say, the number of executors required for a specific application is calc
public List
Yarn does not seem to have 1 * of the expected number of maps set by the user.
Core code long minsize = math. max (getformatminsplitsize (), getminsplitsize (job); getformatminsplitsize returns 1 by default. getminsplitsize indicates the minimum number of parts set by the user. If the value is greater than 1, long maxsize = getmaxsplitsize (job); getmaxsplitsize is the maximum number of parts set by the user. The default value is 922337203
One, why I choose CentOS7.0
July 7, 14 17:39:42 released the official version of CentOS 7.0.1406, I have used a variety of Linux, for the hadoop2.x/yarn of the environmental configuration to choose why CentOS7.0, the reasons are:
1, the interface using RHEL7.0 new GNOME interface Wind, this is not centos6.5/rhel6.5 can compare! (Of course, Fedora used this style long ago, but now the fedora is not the case of the package)
2, once, I also used RHEL7
The main part of the effect diagram is completed in the AI, the graph is not very complex, the author introduces also more detailed, oneself can slowly finish. Then the good graphics imported into the PS, with the layer style color and increase texture and texture.
Final effect
1, first use PS to make two texture processing, the following figure.
2, open AI (Illustrator), first make the figure shown below.
3, and then use the pattern and brush to make the
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