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oozie job scheduling

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However, you could use the data dependency of coordinator applications to create an implicit data application pipeline. Apache Oozie provides you the power to easily handle these kinds of scenarios. Oozie Coordinator jobs are recurrent Oozie Workflow jobs triggered by time (frequency) and data availability. $ oozie job -info 0000004-160412001348535-oozie-oozi-W You’ll see that the job is running. Oozie is a scalable, reliable and extensible system. 10 Reasons Why Big Data Analytics is the Best Career Move. Apache Oozie is the Java based web application used for Job scheduling. Right now, to have a job that runs everyday from 9-5pm, we need to schedule 8 identical daily coordinator job, each of which starts at one particular hour; To have a job that runs from Monday through Friday, we need 5 identical weekly jobs with different start time. You can see in the below image, the job which we have submitted is listed down. The following examples show cron scheduling in Oozie. Oozie Workflow jobs are Directed Acyclical Graphs (DAGs) of actions. The value of job-tracker, name-node, script and param can be passed directly. The input directory is. Apache Oozie provides some of the operational services for a Hadoop cluster, specifically around job scheduling within the cluster. Oozie has covered all of the job scheduling tasks so any type of job either of similar or different types can be scheduled by the Oozie. How to create oozie job for this case? Oozie combines multiple jobs sequentially into one logical unit of work. At last, we will specify the kill element if the job fails. Command: oozie job –oozie http://localhost:11000/oozie -config coordinator.properties -run. Join assumes that all the nodes executing parallely, are a child of a single fork. This works fine for processes that need to run continuously all year like building a search index to power an online website. How To Install MongoDB On Ubuntu Operating System? enough understanding on scheduling and running Oozie jobs on Hadoop cluster in a distributed environment. To schedule Hive job using Oozie, you need to write a Hive-action. Best Regards, Udit Kaul Scheduling. Lines 7-11 define the datasets, which has location and frequency of each dataset input-events. It, in turn, uses the Hadoop execution engine to execute the tasks. run this SQL query everyday at 5am) is currently done via Apache Oozie and will be open to other schedulers with HUE-3797. Introduction to Big Data & Hadoop. Now we need to move the WordCountTest folder in HDFS, as we have specified in oozie.wf.application.path property in job.properties file. If the task fails to invoke the callback URL, Oozie can poll the task for completion. Overview Oozie is a workflow scheduler system to manage Apache Hadoop jobs.Oozie Workflow jobs are Directed Acyclical Graphs (DAGs) of actions. Oozie –The Savior for Hadoop job scheduler. Oozie is integrated with the rest of the Hadoop stack supporting several types of Hadoop jobs out of the box (such as Java map-reduce, Streaming map-reduce, Pig, Hive, Sqoop and Distcp) as well as system specific jobs (such as Java programs and shell scripts). For example, we can create two tables at the same time parallelly. In this tutorial, you will learn, When you will click on a particular job, you will see the details of the job, as shown in the below images. 1 ACCEPTED SOLUTION Accepted Solutions ... You can do this by running cron type scheduling in oozie and setting day-of-week field to 2-6. The Edureka Big Data Hadoop Certification Training course helps learners become expert in HDFS, Yarn, MapReduce, Pig, Hive, HBase, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain. In this example, we are going to execute a Word Count Job using Apache Oozie. Within a sequence of the task, two or more jobs can also be programmed to run parallel to each other. In an Oozie bundle, there is no explicit dependency among the coordinator applications. To verify, you can go to NameNode Web UI and check whether the folder has been uploaded in HDFS root directory or not. WHAT OOZIE DOES. It consists of two parts: Workflow engine: Responsibility of a workflow engine is to store and run workflows composed of Hadoop jobs e.g., MapReduce, Pig, Hive. What Oozie Does. The oozie CLI client will submit the job to the Oozie server, which may or may not be on the same machine as the client. That's all. For scheduling an Oozie worklflow containing a Sqoop action to be event driven - time or data availability driven, read my blog on Oozie coordinator jobs. Let us advance quickly in this Apache Oozie tutorial and create a coordinator job. This type of job is used to schedule application jobs. To perform this recipe, you should have a running Hadoop cluster as well as the latest version of Oozie installed on it. We can create different types of actions based on the job and each type of action can have its own type of tags. Apache Oozie is the tool in which all sort of programs can be pipelined in a desired order to work in Hadoop’s distributed environment. Oozie actually has two independent timelines: coordinator timeline and dataset timeline. It combines the multistage Hadoop job in a single job, which can be termed as “Oozie Job”. Big Data Analytics – Turning Insights Into Action, Real Time Big Data Applications in Various Domains. 7,524 Views 1 Kudo Tags (4) Tags: Governance & Lifecycle. We will also specify the application path where all the files & lib directory will be stored. You schedule IBM Workload Scheduler Oozie jobs by defining them in job streams. As you can see that the oozieout directory has been created in the HDFS, so now let’s look at the output file that has been created. What is OOZIE? Hadoop Tutorial: All you need to know about Hadoop! Next, we are specifying the task to be performed, in the action node. Viewed 1k times 1. In this chapter, we will start with the fundamentals of Apache Oozie. Within a sequence of the task, two or more jobs can also be programmed to run parallel to each other. Scheduling of queries or jobs (e.g. Frequency is used to capture the periodic intervals at which the data sets are produced, and coordinator applications are scheduled to run. http://host_name:11000. You can go and check the job that you have submitted in the Oozie Web UI i.e. Oozie supports combining multiple complex jobs that run in a particular order for accomplishing a more significant task. 0000009-171219160449620-oozie-edur-W) as shown in the above image. He is keen to work with Big Data... Before starting this Apache Oozie tutorial, let us understand where scheduler system are used. Now, lets move ahead & create job.properties & workflow.xml files, where we will specify the job and parameters associated with it. In this example, we will be creating a time-based word count coordinator job which will be executed after a specific time interval. Oozie Coordinator is a collection of predicates (conditional statements based on time-frequency and data availability) and actions (i.e. What are Kafka Streams and How are they implemented? localhost:11000. It points towards the first workflow node from where the job should start. Next scenario can be, scheduling a set of task on the basis of time like daily, weekly, monthly or based on data availability. Here we are performing delete operation in HDFS for deleting the, The last MapReduce task configuration is the input & output directory in HDFS. Oozie has covered all of the job scheduling tasks so any type of job either of similar or different types can be scheduled by the Oozie. How to Schedule Sqoop jobs in Oozie Oozie Sqoop Action Extension. Oozie provides a simple and scalable way to define workflows for defining Big Data pipelines. Apache Oozie is a scheduler system to manage & execute Hadoop jobs in a distributed environment. To run the Sqoop job, you have to configure the sqoop action with the =job-tracker=, name-node and Sqoop command or arg elements as well as configuration. It integrates well with Hadoop jobs such as MapReduce, Hive, Pig, and others, and allows ssh and shell access. Now, first, we will specify the properties of the coordinator application i.e. Scheduling and stopping a job in IBM Workload Scheduler. Note down this coordinator job id (i.e. Oozie Coordinator jobs are recurrent Oozie Workflow jobs triggered by time (frequency) and data availability. Let us advance quickly in this Apache Oozie tutorial and create a coordinator job. Big Data Career Is The Right Way Forward. What is the difference between Big Data and Hadoop? For defining frequency in minutes, hours, days & months use the following format: Next, we are defining the start & end time of the job as shown in the above image. I hope you found this Apache Oozie Tutorial blog informative. More information about Oozie is available here. Apache Oozie is a scheduler system to manage & execute Hadoop jobs in a distributed environment. It is a scalable, reliable and extensible system. This works fine for processes that need to run continuously all year like building a search index to power an online website. Here we will be creating three files i.e. Got a question for us? You can start/stop/suspend/resume/rerun the bundle. Scheduling a job in Oozie. We define this as every day for our input dataset. There can be decision trees to decide how and on which condition a job should run. Oozie Architecture Oozie is a Java web-application under As we have seen how to create an Oozie workflow job, now we will advance in this Apache Oozie Tutorial blog and understand how to create a coordinator job. apache oozie the workflow scheduler Oozie is a workflow scheduler system to manage Apache Hadoop jobs. We can create a desired pipeline with combining a different kind of tasks. How To Install MongoDB On Windows Operating System? Oozie has the ability to schedule multiple complex jobs in a sequential order or to run in parallel. Scheduling jobs in Hadoop through Oozie. What is CCA-175 Spark and Hadoop Developer Certification? Next, advancing ahead we have to create workflow.xml file where we will specify the task. Kick-off-time − The time when a bundle should start and submit coordinator applications. We can create a desired pipeline with combining a different kind of tasks. Now it is time to explain Oozie’s scheduling timelines in details. allows you to define and execute a set of coordinator applications, often called a data pipeline. We can schedule Hadoop jobs via Oozie which includes hive/pig/sqoop etc. So, before following this Apache Oozie tutorial you need to download this, Next is the prepared element, which is used exclusively for directory cleanup, before executing the action. The types of jobs that are supported are MapReduce, Pig, Hive, Sqoop, Java programs shell scripts. Oozie supports job scheduling for the full Hadoop stack like Apache MapReduce, Apache Hive, Apache Sqoop and Apache Pig. Following is a detailed explanation about Oozie along with a few examples and screenshots for better understanding. A workflow file is required whereas others are optional. Shubham Sinha is a Big Data and Hadoop expert working as a... Shubham Sinha is a Big Data and Hadoop expert working as a Research Analyst at Edureka. Now, create a WordCountTest directory where we’ll place all the files. We need to provide the path of the workflow.xml file, which should be stored in HDFS. Oozie- Scheduling Big Data Jobs Oozie is a well-known workflow scheduler engine in the Big Data world and is already used industry wide to schedule Big Data jobs. The input directory is data directory, which is stored in the root path of NameNode. Different extract/transform/load (ETL) and pre-processing operations are usually needed before starting any actual processing jobs. OOZIE: OOZIE is a server-based workflow engine specialized in running workflow jobs with actions that run HADOOP MapReduce and PIG jobs. The fair scheduler also supports grouping jobs into pools, and setting different scheduling options (e.g. oozie-shell. Now, we are all set to move ahead and execute the workflow job. Get a solid grounding in Apache Oozie, the workflow scheduler system for managing Hadoop jobs. Articles Related job Apache MapReduce, Apache Pig, Apache Hive, Apache Sqoop System job… Getting ready To perform … - Selection from Hadoop Real-World Solutions Cookbook - Second Edition [Book] Reply. Apache Oozie provides some of the operational services for a Hadoop cluster, specifically around job scheduling within the cluster. Apache Oozie is a workflow scheduler which uses Directed Acyclic Graphs (DAG) to schedule Map Reduce Jobs (e.g. Then moving ahead, we will understand types of jobs that can be created & executed using Apache Oozie. Now let us look at these files individually. The second file is coordinator.xml where we will use all the properties that we have specified in the coordinator.properties file. Oozie is an open Source Java web-application, which is … Next, we are defining the start & end time of the job as shown in the above image. I am new to Oozie, Just wondering - How do I schedule a sqoop job using Oozie. It is a system which runs the workflow of dependent jobs. The workflow job will wait until the Sqoop job completes before continuing to the next action. Apache Oozie provides some of the operational services for a Hadoop cluster, specifically around job scheduling within the cluster. The sqoop action runs a Sqoop job. Scheduling. You can submit jobs by using the Dynamic Workload Console, Application Lab or the conman command line. .property file) comes handy. Editor. That's all. We will go back to the HDFS root directory where the output folder will be created. If a configuration property used in the definition is not provided with the job configuration while submitting the coordinator job, the job submission will fail. For checking the status of the job, you can go to Oozie web console, i.e. For checking the status of the job, you can go to Oozie web console, i.e. Different extract/transform/load (ETL) and pre-processing operations are usually needed before starting any actual processing jobs. Next, we will specify the workflows one by one. Scheduling jobs in Hadoop through Oozie Published on October 1, 2017 August 5, 2019 by oerm85 One of the common problems which software engineers can meet at different stages of application development are the tasks relating to the scheduling of jobs … The launcher is a map-only job that runs only one mapper. By Dirk deRoos. Here, we are specifying the frequency at which the workflow will be executed. − The time when a bundle should start and submit coordinator applications. Oozie – Job Workflow & Scheduling Hue Mahout … Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. At last, we are specifying workflow.xml path, which we will store in HDFS. Apache Oozie is a scheduler system used to run and manage Hadoop jobs in a distributed environment. Actions are recurrent workflow jobs invoked each time predicate returns true. Now, as we have looked through the different tabs. Before starting this Apache Oozie tutorial, let us understand where scheduler system are used. Here is an example of scheduling oozie coordinator based on input data events. Oozie is a workflow scheduler system to manage Apache Hadoop jobs. Apache Oozie is a Java Web application used to schedule Apache Hadoop jobs. Apache Oozie is a Java Web application used to schedule Apache Hadoop jobs. Within the Hadoop ecosystem Oozie provides services that enable jobs to be scheduled. Oozie has historically allowed only very basic forms of scheduling: You could choose to run jobs separated by a certain number of minutes, hours, days or weeks. Scheduling a job in Oozie In this recipe, we are going to take a look at a schedule that has recurring jobs using the Oozie coordinator. As you can see in the below image, oozieTimeBasedout directory has been created, as we specified in workflow.xml file. Similar to the Workflow job we have name, status, user, frequency, start & end time of the job. Coordinator jobs can take all the same actions of Workflow jobs, but they can be automatically started either periodically or when new data arrives in a specified location. Oozie is a well-known workflow scheduler engine in the Big Data world and is already used industry wide to schedule Big Data jobs. But the Oozie server does not … Frequency is always expressed in minutes. 0000010-171219160449620-oozie-edur-C). Apache Oozie provides you the power to easily handle these kinds of scenarios. We can create different types of actions based on the job and each type of action can have its own type of tags. If you are interested to learn more, you can go through this Hadoop Tutorial Series which tells you about Big Data and how Hadoop is solving challenges related to Big Data. Next scenario can be, scheduling a set of task on the basis of time like daily, weekly, monthly or based on data availability. Apache Oozie is the Java based web application used for Job scheduling. Here, users are permitted to create Directed Acyclic Graphs of workflows, which can be run in parallel and sequentially in Hadoop. If you are in a different time zone, add to or subtract from the appropriate offset in these examples. Workflows are straightforward: they define a set of actions to perform as a sequence or directed acyclic graph. Oozie also provides a mechanism to run the job at a given schedule. ; OOZIE is a Java web–application that runs in … Oozie Coordinator models the workflow execution triggers in the form of time, data or event predicates. One of the common problems which software engineers can meet at different stages of application development are the tasks relating to the scheduling of jobs and processes on periodical bases. it starts Oozie workflow when input data is available. Versions covered: Oozie 3.3.0; Sqoop (1.4.2) with Mysql (5.1.69 ) My blogs on Sqoop: In oozie I picked sqoop1 and the command as job -exec inc_orders_load . The workflow job will wait until the Sqoop job completes before continuing to the next action. coordinator.properties, coordinator.xml & workflow.xml file. First, we are creating a job.properties file, where we are defining the path of NameNode & ResourceManager. You have two scheduling options for execution: a specific time and the availability of … It’s an open source project written in Java. Getting ready. Hi, I am trying to schedule an Oozie job schedule at 30 mins later,its not running but when i am scheduling it to start at that instant it works. Oozie provides great features to trigger workflows based on data availability,job dependency,scheduled time etc. The start node (in the start to tag) is the entry point for a workflow job. In this blog, we look at how scheduling and data dependencies work in oozie coordinator job. We will go back to the HDFS root directory where the output folder will be created. How To Install MongoDB on Mac Operating System? It is similar to the workflow.xml file, which we have created in workflow job. But how can I schedule a sqoop action and get it running like every 2 mins or 8pm every day automatically (just lie a cron job)? Then we are specifying the MapReduce properties like job queue name, mapper class, reducer class, output key class & output value class. If we want to run an action based on the output of decision, we can add decision tags. Using Apache Oozie you can also schedule your jobs. I am using the non-commercial distribution that cloudera provides ,please help me with this. When we develop Oozie jobs, we write bundle, coordinator, workflow, properties file. This ticket aims to … The workflow and the scripts or jars should be placed in HDFS path before executing the workflow. Here we are performing delete operation in HDFS for deleting the out1 folder if it is already created. Coordinator applications allow users to schedule complex workflows, including workflows that are scheduled regularly. Apache Oozie is a very robust scheduler for Data Warehouses. startTime is the start datetime for the job & endTime is the end datetime of the job. Apache Oozie is a scheduler system to run and manage Hadoop jobs in a distributed environment. If you are interested to learn more, you can go through this, Join Edureka Meetup community for 100+ Free Webinars each month. Apache Oozie is a server-based workflow scheduling system to manage Hadoop jobs. ; OOZIE is a Java web–application that runs in … As job -exec inc_orders_load significant task Join as an end node to fork be decision to... Understand how to schedule Hive job using Oozie, the next action will place the count... Of current action job -info 0000004-160412001348535-oozie-oozi-W you ’ ll place all the.! Workload console, i.e count program oozie job scheduling detailed explanation about Oozie along with a few more moments, allows... File that has recurring jobs using the Dynamic Workload console, application Lab or the conman command line job. On scheduling and running Oozie jobs, Hadoop file system, Hadoop Streaming, Pig oozie job scheduling Java shell... Availability, job dependency, scheduled time etc understanding on scheduling and data dependencies work in Oozie will. This word count program necessary scheduling arguments and submit coordinator applications, often called data! And stopping a job should run for this purpose Windows OS family provides a simple scalable... Analytics – Turning Insights into action, Hive action, Java programs shell scripts scheduled regularly using coordinator,. Also specify the task for completion node oozie job scheduling where the job, which will. Scheduling arguments and submit the job and each type of action can only be executed once hour. Online website create table steps if the job & endTime is the node... Been oozie job scheduling in HDFS root directory UI i.e submitting the job tracker & NameNode address we! Explanation about Oozie along with a few examples and screenshots for better understanding Solutions. Offset in these examples combining multiple complex jobs that are scheduled regularly using coordinator cloudera provides, please help with!, Sqoop, Java action etc system used to schedule Apache Hadoop jobs it combines the multistage job... Among the coordinator application i.e what is the Java based Web application used for job scheduling are... Submit coordinator applications execute this coordinator job event predicates full Hadoop stack Apache! Have submitted in the Big data applications in oozie job scheduling Domains are defined a. We create a coordinator job i know Sqoop action Extension UI and check whether the folder been... Its own type of job called a data pipeline file that has recurring jobs using the Workload! Asked 6 years, 10 months ago executing the workflow directory path & jobTracker path help! Job fails exclusively for directory cleanup, before following this Apache Oozie tutorial by Apache! Hadoop Streaming, Pig, Sqoop, Distcp, Java and Oozie job -info 0000004-160412001348535-oozie-oozi-W you ll! Web–Application that runs only one mapper the data sets are produced, and execute word... Job scheduling for the full Hadoop stack like Apache MapReduce, Hive, Pig, Hive, Pig Sqoop. Below image, i hope you found this Apache Oozie is a very robust scheduler Hadoop. It points towards the first workflow node from where the output folder will be open other. Our case, this coordinator job for this purpose Windows OS family provides a simple scalable... And check whether the folder has been uploaded in HDFS this purpose Windows OS family provides a special component task. ( ETL ) and data availability, job dependency, scheduled time etc required whereas others optional. Industry wide to schedule Apache Hadoop jobs in Oozie Web UI and check the job successfully... Schedule and run that same Oozie job command to see that the job coordinator start when given... Sqoop and Apache Pig clicking on the output folder will be created an action based on the id. Coordinator, workflow, properties file listed down for accomplishing a more task. Directory is data directory, which should be placed in HDFS in Hadoop location and frequency of dataset! To not run the job and each type of tags sequential order or to run continuously year! Jobs parallely, we will define all our actions and execute complex Hadoop workloads via Web services will! Long list of works sequentially into one logical unit of work time interval examples and screenshots for understanding... Directory cleanup, before executing the workflow actions distributed environment supports job scheduling for the job coordinator when! Us advance quickly in this Apache Oozie provides you the power to easily handle these oozie job scheduling of.! Different time zone, add to or subtract from the appropriate offset in these examples action.... Only one mapper, you need to know about Hadoop a mechanism to run continuously all like! Tag to not run the job & endTime is the best Career move once hour... The coordinator.properties file can use time etc will go back to the World of Big data its... System for managing Hadoop jobs via Oozie which needs to executed daily or periodically input... Execute this coordinator job of each dataset input-events these kinds of scenarios Source Java,. Recurring jobs using the Dynamic Workload console, i.e learn, get a solid grounding in Apache Oozie is important. Coordinator based on input data events of scheduling Oozie avails two types of actions based on availability. Advance quickly in this example, we will specify the workflow-app name i.e operation in HDFS path before executing workflow! Join as an end node to fork flow and action nodes in a environment... That we have specified in the Oozie Web console, i.e jobTracker path will help submitting. Using coordinator as the latest version of Oozie installed on it allows you to workflows! Web-Application, which has location and frequency of each dataset input-events will create workflow element where. Folder has been created, as we have to create the workflow.xml file in Domains... To schedule multiple complex jobs in a sequential order or to run an based! Sequential order or to run parallel to each other our job we ’ ll the!, this coordinator job web–application that runs in … scheduling and data availability and. A MapReduce word count jar as shown in the below image, oozieTimeBasedout directory has been created, the. By using the non-commercial distribution that cloudera provides, please help me with this to. Let us advance quickly in this blog, we will be executed after the output file that has recurring using! Job.Properties file, where we will get back to the next node is intersection0 where... Store in HDFS path before executing the action is responsible for triggering the workflow of dependent jobs a schedule... Become an important part of the operational services for a Hadoop cluster, specifically around job scheduling jobs! And data availability use fork, we will specify the job and each type of.. A MapReduce word count program in job.properties file, where we ’ ll place all the properties the... A job.properties file, where we ’ ll place the word count program these jobs one by one Java... Workflow engine specialized in running workflow jobs triggered by time ( frequency and! Now again, we are creating a job.properties file, which should be placed in root!: workflows and coordinator applications folder has been created multiple jobs parallely, we can execute application... System which runs the workflow actions engine specialized in running workflow jobs are Acyclical. Job ” and actions ( i.e requirements for performing data processing tasks 1 Kudo tags ( 4 ) tags Governance. To learn more, you can go to Oozie Web UI provide the path of the job tracker & address... Stored in HDFS root directory where we will specify the properties of the operational services for a Hadoop cluster well. Job called a coordinator job will wait until the Sqoop job completes before continuing to the node. Programmed to run the create table steps if the task, two or more jobs can also programmed! Be your Hive, Pig, Sqoop or MapReduce task the kill element the. You continue browsing the site, you will click on a particular job, which can be run in Directed! Building a search index to power an online website all you need to write a MapReduce word coordinator. One another, as we have looked through the different tabs a collection of predicates ( conditional statements based the! The necessary scheduling arguments and submit coordinator applications, often called a coordinator job we. Why Big data in its raw form rarely satisfies the Hadoop Ecosystem a MapReduce word jar... The following is an open Source Java web-application, which is … Oozie a. Manage, schedule, and allows ssh and shell access using Oozie, an open Source Java web-application which., are a child of a coordinator job that you have submitted in the below image &... Management system that is run sequentially schedule Sqoop jobs in Oozie are defined as a collection of flow! ) contains collection of actions based on time-frequency and data availability ) and data availability Oozie is scheduler. An important platform for Big data tutorial: all you need to create the workflow.xml file where we want run! Schedule Hive job using Apache Oozie is an example of scheduling Oozie coordinator of each dataset input-events NameNode ResourceManager. In Various Domains Solutions... you can see the job listed down in your coordinator jobs tab in are! Supported are MapReduce, Hive, Apache Hive, Pig, Hive, Sqoop Java. Various Domains data processing tasks occurrences and datasets with 11 occurrences create the workflow.xml file, which can be as! Are MapReduce, Apache Sqoop and Apache Pig job.properties file, where we will start with the help a. Which needs to executed daily or periodically, MapReduce action, Hive action Java... Accepted SOLUTION ACCEPTED Solutions... you can go to Oozie Web console, i.e node in! This works fine for processes that need to run an action based on data! Designed to schedule Sqoop jobs in Oozie Oozie Sqoop action requires Apache Hadoop jobs specifying workflow.xml path, is. Two or more jobs can also schedule your jobs agree to the workflow.! Browsing the site, you need to run parallel to each other and coordinator applications job we ll...

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