cloudera cdh

Sqoop importing MySQL data sheet to hive error[[Email protected]172- +-1-221lib]# sqoop Import--connect jdbc:mysql://54.223.175.12:3308/gxt3--username guesttest--password guesttest--table ecomaccessv3-m 1--hive-importWarning:/opt/cloudera/parcels/cdh-5.10.0-1. Cdh5.10.0. P0. A/bin/. /lib/sqoop/. /accumulo does not exist!Accumulo imports would fail. pleaseSet$ACCUMULO _home to the root of your Accumulo insta

and configure it to use port 80. After configuring the http server, you can configure path addresses in the "http: //" format in the yum source, for example: Baseurl = Signature: Second hurdle: cloudera console installation error-Incorrect http path After configuring the yum source and executing the binfile on the cloudera console, the following error is returned: View the error log as prompted: [Root @ m

What is Impala? Cloudera released real-time query open source project Impala, according to a variety of products measured, it is more than the original based on MapReduce hive SQL query speed increase 3~90 times. Impala is an imitation of Google Dremel, but've seen wins blue on the SQL function. 1. Install JDK The code is as follows Copy Code $ sudo yum install jdk-6u41-linux-amd64.rpm 2. Pseudo-distributed mod

error: partialgroupnameexception the user name ' Ushio ' is not found. Id:ushio: No such userAdd the Hadoop_user_name variable to the environment variable, the value is the correct user name to execute Hadoop, Cloudera Manager installed CDH version of Hadoop, the value is HDFs, restart the computer and then normal operation.In the following page to find the solution, the rest of the errors mentioned I did

SparkSQL reads data in Hive Because Spark uses CDH of Cloudera and is automatically installed and deployed online. I recently learned SparkSQL and saw SparkSQL on HIVE. The following describes how to read HIVE data through SparkSQL. (Note: if you do not use CDH for online automatic installation and deployment, you may need to compile the source code to make it co

First, hadoop2.0 installation deployment process1, Automatic installation deployment: Ambari, Minos (Xiaomi), Cloudera Manager (charge) 2, using RPM Package installation deployment: Apache Hadoop does not support, HDP and CDH provide 3. Install the deployment using the JAR package: Each version is available. (This approach is recommended for early understanding of Hadoop) Deployment process: Preparing the h

If you are using Kafka to distribute messages, there may be exceptions or other errors in the process of data processing that can result in loss or inconsistency. This time you may want to Kafka the data through the new process, we know that Kafka by default will be saved on disk to 7 days of data, you just need to Kafka a topic of the consumer offset to a certain value or a minimum value, You can get the consumer to start spending from the point you set.Querying the range of topic offsetUse the

Debug Resource AllocationThe Spark's user mailing list often appears "I have a 500-node cluster, why but my app only has two tasks at a time", and since spark controls the number of parameters used by the resource, these issues should not occur. But in this chapter, you will learn to squeeze out every resource of your cluster. The recommended configuration will vary depending on the cluster management system (yarn, Mesos, Spark Standalone), and we will focus on yarn as this

1. Overview Flume is a high-performance, highly possible distributed log collection system for Cloudera company. The core of Flume is to collect data from the data source and send it to the destination. In order to ensure that the transmission must be successful, before sending to the destination, will first cache the data, waiting for the data to really arrive at the destination, delete their own cached data. The basic unit of the data transmitted by

Tags: situation complete tag CDH data \ n Button pre ClusterNot much to say, directly on the dry goods!Many peers, perhaps know, for our big data building, the current mainstream, divided into Apache and Cloudera and Ambari.The latter two I do not say much, is necessary for the company and most of the university scientific research environment must!See my blog below for details.Cloudera installation and dep

# # #通过http://192.168.50.200:7180/cmf/login Access cm console4.CDH Installation4.1CDH Cluster Setup Wizard1.admin/admin Landing to CM2. Agree to license agreement, click Continue3. Select 60 trial, click Continue4. Click "Continue"5. Enter the host IP or name, click Search to find the host name and click Continue6. Click "Continue"7. Using the Parcel option, click "More Options", click "-" to delete all other addresses, enter HTTP://IP-192-168-50-200.

Sqoop is an open-source tool mainly used for data transmission between hadoop and traditional databases. The following is an excerpt from the sqoop user manual. Sqoop is a tool designed to transfer data between hadoop andrelational databases. you can use sqoop to import data from arelational Database Management System (RDBMS) such as MySQL or oracleinto the hadoop Distributed File System (HDFS), transform the dataIn hadoop mapreduce, and then export the data backinto an RDBMS. Here I will mainly