Oozie is a workflow scheduling management system for Hadoop jobs. Oozie workflow is a group of actions placed in the directed acyclic graph (DAG) of control dependence, which ensures that subsequent operations are started after the preceding operation finishes. Oozie coordinator triggers the Oozie wo...
Q2 [20 marks + 5 bonus marks]: Basic Operations of Hive In this question, you are asked to repeat Q1 using Hive and then compare the performance between Hive and Pig. (a) [Bonus 5 marks] Install Hive on top of your own Hadoop cluster. You can reuse your Hadoop cluster in IEMS 5730...
The FS Action node is a Hadoop distributed file system (HDFS) operation node. You can create and delete HDFS files and folders and grant permissions for HDFS files and folders using this node. Parameter Description Table 1-62 describes parameters used on the FS Action node. Table 1-9Parameter...
previous backup job. Changes include add, modify, and delete operations. Generally, an incremental backup takes less time than a full backup and has higher backup efficiency. However, during restoration, the system needs to trace back the backup chain to find the corresponding files, which is ...
Oozie provides an external REST web service API for the Oozie client to control workflows (such as starting and stopping operations), and orchestrate and run Hadoop MapReduce tasks. For details, see Figure 1. Figure 1 Oozie architecture Table 1 describes the functions of each module shown in...
In C++, predefined functions and declarations are provided through header files, allowing you to do specific tasks without having to write new code from the start. A few important header files for input/output operations in C++ include functions for effectively carrying out input and output tasks....
As already seen in previous examples all operations accept lambda functions for describing the operation: val data: DataSet[String] = // [...] data.filter { _.startsWith("http://") } val data: DataSet[Int] = // [...] data.reduce { (i1,i2) => i1 + i2 } // or data.redu...
ClickHouse is an open source column database for online analysis and processing. It is independent of the Hadoop big data system. Its core features are extreme compression rate and extremely fast query performance. At the same time, ClickHouse supports SQL queries and has good query performance, ...
This is called pipeline optimization in Spark. Transformation and Action (RDD Operations) Operations on RDD include transformation (the return value is an RDD) and action (the return value is not an RDD). Figure 11 shows the RDD operation process. The transformation is lazy, which indicates ...
health of all the services. The operations team uses Sensu and Prometheus for collecting the health information, and they will display the data on the Wavefront dashboards. The operations team usesKafkato organize the event logs and to store them into the HDFS(Hadoop Distributed File System)....