Next package, use Project structure's artifacts:Using the From modules with dependencies:Select Main Class:Click "OK":Change the name to Sparkdemojar:Because Scala and spark are installed on each machine, you can delete both Scala and spark-related jar files:Next Build:Select "Build Artifacts":The rest of the operation is to upload the jar package to the server, and then execute the
Next package, use Project structure's artifacts:Using the From modules with dependencies:Select Main Class:Click "OK":Change the name to Sparkdemojar:Because Scala and spark are installed on each machine, you can delete both Scala and spark-related jar files:Next Build:Select "Build Artifacts":The rest of the operation is to upload the jar package to the server, and then execute the
Create a Scala idea project:Click "Next":Click "Finish" to complete the project creation:To modify an item's properties:First modify the Modules option:Create two folders under SRC and change their properties to source:Then modify the libraries:Because you want to develop the spark program, you need to bring in the jar packages that spark needs to develop:After the import package is complete, create a packa
Create a Scala idea project:Click "Next":Click "Finish" to complete the project creation:To modify an item's properties:First modify the Modules option:Create two folders under SRC and change their properties to source:Then modify the libraries:Because you want to develop the spark program, you need to bring in the jar packages that spark needs to develop:After the import package is complete, create a packa
Introduction to spark Basics, cluster build and Spark ShellThe main use of spark-based PPT, coupled with practical hands-on to enhance the concept of understanding and practice.Spark Installation DeploymentThe theory is almost there, and then the actual hands-on experiment:Exercise 1 using Spark Shell (native mode) to
Introduced
Re-imagine the Windows 8 Store Apps Notice
Tile-Basic applications See http://www.cnblogs.com/webabcd/archive/2013/06/17/3139740.html
Tile-All Tile templates
Tile-Loops display multiple tilenotification on a Tile
Tile
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Next, use mr-jobhistory-daemon.sh to start jobhistory Server:
650) This. width = 650; "src =" http://s3.51cto.com/wyfs02/M00/4C/D0/wKioL1RFum3gmV-tAAEAGK9JgLU703.jpg "style =" float: none; "Title =" 49.png" alt = "wKioL1RFum3gmV-tAAEAGK9JgLU703.jpg"/>
After startup, you can view the task execution history in jobhistory on the Web Console through http: // spar
The article I saw last year http://www.earthplayer.com/bbs/viewthread.php?tid=321 is now inaccessible, and the address of the tile server is changed. Update and leave it for backup.
Algorithm analysis of Google map tile MapMAP Tile Encoding
Google Map uses two algorithms to encode the location of the tile.
The URL addr
Step 4: build and test the spark development environment through spark ide
Step 1: Import the package corresponding to spark-hadoop, select "file"> "project structure"> "Libraries", and select "+" to import the package corresponding to spark-hadoop:
Click "OK" to confirm:
Click "OK ":
After idea
In the V3 version of the Virtual Earth API, we added support for custom tile layers, which allows you to add your own imagm imagery and overlays on the map.
One of our developers, Jaya Bhatia blogged aboutTile layers with the V3 Virtual Earth APIAwhile back. In the V5 Virtual Earth API, we have now simplified working with custom tile layers.
To create M tiles for Virtual Earth, you can useMSR mapcruncher. C
This article focuses on some of the typical problems I have encountered since using spark and how to solve them, hoping to help the students who meet the same problem.1. Spark environment or configuration relatedQ:in the Spark Client Profile spark-defaults.conf, how should spark.executor.memory and Spark.cores.max be c
1. Introduction to Spark streaming
1.1 Overview
Spark Streaming is an extension of the Spark core API that enables the processing of high-throughput, fault-tolerant real-time streaming data. Support for obtaining data from a variety of data sources, including KAFK, Flume, Twitter, ZeroMQ, Kinesis, and TCP sockets, after acquiring data from a data source, you can
Open idea under the SRC under main under Scala right click to create a Scala class named Simpleapp, the content is as followsImportOrg.apache.spark.SparkContextImportOrg.apache.spark.sparkcontext._ImportOrg.apache.spark.SparkConfObjectSimpleapp{defMain(Args:array[string]) {ValLogFile ="/home/spark/opt/spark-1.2.0-bin-hadoop2.4/readme.md"//should be some file on your system Valconf =NewSparkconf (). Setap
Restart idea:
Restart idea:
After restart, enter the following interface:
Step 4: Compile scala code in idea:
First, select "create new project" on the interface that we entered in the previous step ":
Select the "Scala" option in the list on the left:
To facilitate future development, select the "SBT" option on the right:
Click "Next" to go to the next step and set the name and directory of the scala project:
Click "finish" to create the project:
Because we have selec
follows: Step 1: Modify the host name in/etc/hostname and configure the ing between the host name and IP address in/etc/hosts: We use the master machine as the master node of hadoop. First, let's take a look at the IP address of the master machine: The IP address of the current host is "192.168.184.20 ". Modify the host name in/etc/hostname: Enter the configuration file: We can see the default name when installing ubuntu. The name of the machine in the configuration file is
. From the configuration above, we can see that we use the master node as the master node and as the data processing node. This is due to the consideration of three copies of our data and the limited number of machines. Copy the master configured masters and slaves files to the conf folder under the hadoop installation directory of slave1 and slave2 respectively: Go to the slave1 or slave2 node to check the content of the masters and slaves files: It is found that the copy is completel
slave2 machines.
In this case, the id_rsa.pub of slave1 is sent to the master, as shown below:
At the same time, the slave2 id_rsa.pub is sent to the master, as shown below:
Check whether the data has been copied on the master:
Now we can see that the public keys of slave1 and slave2 nodes have been transmitted.
All public keys are integrated on the master node:
Copy the master's public key information authorized_keys to the. SSH directory of slave1 and slave1:
Log on to slave1
The command to end historyserver is as follows:
Step 4: Verify the hadoop distributed Cluster
First, create two directories on the HDFS file system. The creation process is as follows:
/Data/wordcount in HDFS is used to store the data files of the wordcount example provided by hadoop. The program running result is output to the/output/wordcount directory, through web control, we can find that we have successfully created two folders:
Next, upload the data of the local file to the HDFS
Spark Overview
Spark is a general-purpose large-scale data processing engine. Can be simply understood as Spark is a large data distributed processing framework.Spark is a distributed computing framework based on the map reduce algorithm, but the Spark intermediate output and result output can be stored in memory, thu
How to Use Dynamic tile in Win8 to make browsing easierThere are many large and small squares on the Win8 system desktop, which is one of the important features of Win8-dynamic tile. These magnetic stickers are more important than just for good looks. Next, let's talk about Win8's dynamic tile. Every time we install the Win8 application, we can fix it to the Star
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