Bin/oozie job-oozie http: // hadoop-01: 11000/oozie-config/tmp/examples/apps/Map-Reduce/job. properties-run
Error: e0902: e0902: exception occured: [org. Apache. hadoop. IPC. RemoteException: User: oozie is not allowed to impersonate hadoop]
Solution:
Restart the hadoop cluster after adding the following configura
Author Boris Lublinsky, Michael Segel , translator Surtani released on August 18, 2011 | Note:Qcon Global Software Development Conference (Beijing) April 2016 21-23rd, Learn more!
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Tasks performed in Hadoop sometimes require multiple map/reduce jobs to be connected together in order to achieve the goal. [1] in the Hadoop ecosystem, there is a relatively new component called
Directory structure
Hadoop cluster (CDH4) practice (0) PrefaceHadoop cluster (CDH4) Practice (1) Hadoop (HDFS) buildHadoop cluster (CDH4) Practice (2) Hbasezookeeper buildHadoop cluster (CDH4) Practice (3) Hive BuildHadoop cluster (CHD4) Practice (4) Oozie build
Hadoop cluster (CDH4) practice (0) Preface
During my time as a beginner of Hadoop, I wrote a series of introductory Hadoop articles, the first of which is "Hadoop cluster practice (0) Compl
1. How does oozie view task logs?
The oozie job ID can be used to view detailed process information. The command is as follows:
Oozie job-Info0012077-180830142722522-oozie-hado-w
The process details are as follows:
Job ID:0012077-180830142722522-oozie-hado-w
Certificate ---
Related Run commandRun an app: Bin/oozie Job-oozie http://hadoop-1:11000/oozie-config examples/apps/map-reduce/ Job.properties-run Kill a jobbin/oozie job-oozie http://Hadoop-1:11000/oozie -kill 0000001-160702224410648-
Oozie error when calling Hive to execute HQLJava.lang.IllegalArgumentException:java.net.URISyntaxException:Relative Path in absolute uri:file:./tmp/yarn/ 32f78598-6ef2-444b-b9b2-c4bbfb317038/hive_2016-07-07_00-46-43_542_5546892249492886535-1https://issues.apache.org/jira/browse/ OOZIE-23804.1.0 version Fix modification org.apache.oozie.action.hadoop.JavaActionExecutor location: core\src\main\java\org\apache
Http://zhangrenhua.com Blog has moved
With the exception information, you can guess that the configuration was not read when the task was executed, so the default 0.0.0.0:8030 address was used. In order to verify whether this is the cause, we can modify the log level of log4j in the oozie/conf directory for debugging.Then, by viewing and tracking the source code of Hadoop, the correctness of the conjecture is verified, because
DescriptionTasks performed in Hadoop sometimes require multiple map/reduce jobs to be connected together in order to achieve the goal. In the Hadoop ecosystem,Oozie allows us to combine multiple map/reduce jobs into a single logical unit of work, To accomplish larger tasks. PrincipleOozie is a java Web application that runs in the Java servlet container- the Tomcat --in, and use the database to store the following:Workflow definitionCurrently running
What is Azkaban? (a)Functional characteristics of Azkaban (II.)Architecture of the Azkaban (iii)Not much to say, directly on the dry goods!Http://www.cnblogs.com/zlslch/category/938837.htmlCurrently, there are two of the most popular Hadoop workflow engine schedulers Azkaban and Oozie on the market.Specifically, you can look further at my blog.Azkaban Concept Learning Series http://www.cnblogs.com/zlslch/category/938837.htmland
Original link: http://blog.ywheel.cn/post/2016/06/12/hive_in_oozie_workflow/
By building and maintaining big data platforms in the company and providing it to other data analysts, Hive is the most (almost unique) service that non-programmers use. Of course, in daily data processing, in order to simplify the coding effort and use the results accumulated by the data analyst, we can use or simply modify the HQL scripts they provide for data processing, and dispatch hive jobs using
High-availability Hadoop platform-Oozie Workflow1. Overview
When developing and using Hadoop-related applications, we can directly use Crontab to schedule related applications without complicated services and few tasks. Today, we will introduce the system for unified management of various scheduling tasks. The following is the content directory shared today:
Content
Oozie Server
Preview
Let's start tod
of it. Shib is relatively unfamiliar, it is so introduced to its own: WebUI for query engines:hive and Presto. Pan introduces the pros and cons of both.HUE Development language: Python Pros: Hue is a WEB application that interacts with Apache Hadoop. An open-source Apache Hadoop UI. We've already used hue in our production environment, and Hue has a great advantage in managing hbase/pig/hive, and it comes with a Oozie app for creating and monitoring
About the execution conditions of input-events and Done-flag workflows for OozieWhen a workflow specified by coordinator has entered the Execution time window, Oozie first checks that all input-events have "occurred" (satisfied), and the check is mainly divided into two aspects:
Does the specified file or folder already exist?
If Done-flag is specified, check if the Done-flag file exists
The workflow will enter the runing state only
First, introduceOozie is a Hadoop-based workflow Scheduler that can submit different types of jobs programmatically through the Oozie Client, such as mapreduce jobs and spark jobs to the underlying computing platform, such as Cloudera Hadoop.Quartz is an open-source scheduling software that provides a variety of triggers and listeners for scheduling execution of tasksThe following uses Quartz + Oozie to sub
/hdp/current/hive-webhcat/share/hcatalog will be ignored. This obviously looks weird, in fact hive can only read a hive_aux_jars_path, which is the main reason for the weird code above. So, it's a good idea that we can place our shared jar packages in one place, and then create a corresponding soft connection under/usr/hdp/current/hive-webhcat/share/hcatalog, for example, We put the jar uniformly under the/usr/lib/share-lib and then set up the soft connection: -u-s /usr/lib/share-lib/elasticsear
High-availability Hadoop platform-Hadoop Scheduling for Oozie Workflow1. Overview
In the "high-availability Hadoop platform-Oozie Workflow" article, I will share with you how to integrate a single plug-in such as Oozie. Today, we will show you how to use Oozie to create related workflows for running and Hadoop. You mu
This article source: http://blog.csdn.net/bluishglc/article/details/46049817 prohibited any form of reprint, or will entrust CSDN official maintenance rights!Oozie three ways to configure workflow propertiesOozie There are three ways to provide attribute property configuration to a workflow:
App Deployment folder root directory: Config-default.xml
Job Properties File: Job.properties
Specify properties on the command line:-dkey=value
test: with Oozie, execute Sqoop action to import data from DB2 into the Hive partition table. Places to be aware of:1, to add hive.metastore.uris this parameter. Otherwise, the data cannot be loaded into the hive table. Also, if there is more than one such operation in an XML literal, this parameter needs to be configured in each action.2, be aware of the escape character problem in XML. here in my SQL, there is a less than sign that needs to be rewri
a agent are connected together to form2, each agent is equivalent to a data transfer agent , the internal three components:A) source: Acquisition source for docking with the data source for data acquisitionb) Sink: sink, collect data for the purpose of transmitting data to the next level agent or transfer data to the final storage systemc) Channel:angent Internal data transfer channel for passing data from source to sinkFlume supports numerous source and sink typesF Installation deployment
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