I am running a command on sqoop
sqoop import –connect jdbc:mysql://localhost/hadoopguide – table widgets My sqoop version: Sqoop 1.4.4.2.0.6.1-101
Hadoop – Hadoop 2.2.0.2.0.6.0-101
Tak
Hadoop is a distributed system infrastructure developed by the Apache Foundation. Users can develop distributed programs without understanding the underlying details of distributed. Make full use of the power of clusters for high-speed computing and storage. Hadoop implements a distributed file system (Hadoop Distributed File System), referred to as HDFS. HDFS has the characteristics of high fault tolerance and is designed to be deployed on low-cost hardware; and it provides high throughput (high throughput) to access application data, suitable for those with large data sets (large data sets). set) application. HDFS relaxes the requirements of POSIX and can access data in the file system in the form of streaming access. The core design of the Hadoop framework is: HDFS and MapReduce. HDFS provides storage for massive amounts of data, while MapReduce provides calculations for massive amounts of data.
I am running a command on sqoop
sqoop import –connect jdbc:mysql://localhost/hadoopguide – table widgets My sqoop version: Sqoop 1.4.4.2.0.6.1-101
Hadoop – Hadoop 2.2.0.2.0.6.0-101
Tak
[ Summary] I recently got an open source project on gayhub, so I am going to study the source code. Of course, the first step is to get the project up and running. Then I took a look at the technol
I got the following oozie.log:
org.apache.oozie.service.ServiceException: E0104: Could not fully initialize service [org.apache.oozie.service.ShareLibService], Not able to cache sharelib. An
1. HBase stores pictures, documents and other byte stream content
https://issues.apache.org/jira/browse/HBASE-11339
2. Speed control of compact
https://issues.apache.org/jira/br
I have run a map job with only 674 mappers, and hive has generated 674 .gz files, and I want to merge these files into 30-35 files. Pass Do not get the merged output, try the hive megre mapfilse at
On our cluster, we set up a dynamic resource pool.
Set the rules so that the first yarn will look at the specified queue, and then Check the username, then check the main group…
But u
I am using spark 1.5. I want to create a data frame from a file in HDFS. The HDFS file contains json data with a large number of fields in a sequence input file format.
Is there a way to do t
1. Cluster time synchronization
Find a machine, as a practical server, all machines will synchronize with the cluster time regularly, for example, synchronize the time every ten minutes.
1.1 Steps
yarn multi-tenant configuration management (CapacityScheduler) hadoop version is 2.7
One: Before multi-tenant implementation, there is only one default queue
Second configuration file m
Surface problem: Inserting and querying HBase is slower
Check the HBase node status and find that it is running normally:
Check the status of accessing the HBase service and find that t