spark hadoop configuration

42.GraphX real-time graph data processingInstallation deployment and configuration optimization for 43.Spark real-time processing cluster44.Spark programming development and application of the actual combat45.Spark and Hadoop Docking Integration solution Practice

0 Spark development environment is created according to the following blog:http://blog.csdn.net/w13770269691/article/details/15505507 http://blog.csdn.net/qianlong4526888/article/details/21441131 1 Create a Scala development environment in Eclipse (Juno version at least) Just install scala:help->install new Software->add Url:http://download.scala-ide.org/sdk/e38/scala29/stable/site Refer to:http://dongxicheng.org/framework-on-yarn/

Copy an objectThe content of the copied "input" folder is as follows:The content of the "conf" file under the hadoop installation directory is the same.Now, run the wordcount program in the pseudo-distributed mode we just built:After the operation is complete, let's check the output result:Some statistical results are as follows:At this time, we will go to the hadoop Web console and find that we have submit

creates a table in hive Metastore using the specified pattern Extract an Avro schema from a set of datafiles using Avro-toolsExtracting Avro schema from a set of data files using the Avro tool Create a table in the Hive metastore using the Avro file format and an external schema fileCreate a table in hive Metastore using the Avro file format and an external schema file Improve query performance by creating partitioned tables in the Hive MetastoreCreate partitions in hive Metastore to in

Copy an object The content of the copied "input" folder is as follows: The content of the "conf" file under the hadoop installation directory is the same. Now, run the wordcount program in the pseudo-distributed mode we just built: After the operation is complete, let's check the output result: Some statistical results are as follows: At this time, we will go to the hadoop Web

jobtracker that runs on the master node alone and Tasktracker that runs on each cluster from the node. The primary node is responsible for scheduling all tasks that make up a job, which are distributed across different slave nodes. The primary node monitors their execution and re-executes previously failed tasks, from which the node is responsible only for tasks assigned by the master node. When a job is submitted, Jobtracker receives the submission job and

First, prepareUpload apache-hive-1.2.1.tar.gz and Mysql--connector-java-5.1.6-bin.jar to NODE01Cd/toolsTAR-ZXVF apache-hive-1.2.1.tar.gz-c/ren/Cd/renMV apache-hive-1.2.1 hive-1.2.1This cluster uses MySQL as the hive metadata storeVI Etc/profileExport hive_home=/ren/hive-1.2.1Export path= $PATH: $HIVE _home/binSource/etc/profileSecond, install MySQLYum-y install MySQL mysql-server mysql-develCreating a hive Database Create databases HiveCreate a hive user grant all privileges the hive.* to [e-mai

multiple data processing. In addition, Spark is usually used in the following scenarios: Real-Time marketing activities, online product recommendations, network security analysis, and machine diary monitoring. Disaster recovery The disaster recovery methods for both are quite different, but both are quite good. Because Hadoop writes the processed data to the disk, it is born to be able to handle system err

When the PID file location of the Hadoop/hbase/spark is not modified, the PID file is generated to the/tmp directory by default, but the/tmp directory is deleted after a period of time, so later when we stop Hadoop/hbase/spark, will find that the corresponding process cannot be stopped because the PID file has been del

0 Open Extranet Ports required50070,8088,60010, 70771 Setting up SSH password-free loginSsh-keygen-t Dsa-p "-F ~/.SSH/ID_DSACat ~/.ssh/id_dsa.pub >> ~/.ssh/authorized_keyschmod 0600 ~/.ssh/authorized_keys2 Unpacking the installation packageTar-zxvf/usr/jxx/scala-2.10.4.tgz-c/usr/local/Tar-zxvf/usr/jxx/spark-1.5.2-bin-hadoop2.6.tgz-c/usr/local/Tar-zxvf/usr/jxx/hbase-1.0.3-bin.tar.gz-c/usr/local/Tar-zxvf/usr/jxx/had