hadoop-yarn | 对yarn的的RM,NM模块代码进行分析

by linyiqun Java Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | hadoop-yarn Summary

hadoop-yarn is a Java library typically used in Big Data, Hadoop applications. hadoop-yarn has no bugs, it has no vulnerabilities and it has low support. However hadoop-yarn build file is not available. You can download it from GitHub.

hadoop-yarn

Support

Quality

Security

License

Reuse

Support

hadoop-yarn has a low active ecosystem.

It has 45 star(s) with 41 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

hadoop-yarn has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of hadoop-yarn is current.

Quality

hadoop-yarn has 0 bugs and 0 code smells.

Security

hadoop-yarn has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

hadoop-yarn code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hadoop-yarn does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

hadoop-yarn releases are not available. You will need to build from source code and install.

hadoop-yarn has no build file. You will be need to create the build yourself to build the component from source.

hadoop-yarn saves you 2718 person hours of effort in developing the same functionality from scratch.

It has 5889 lines of code, 419 functions and 35 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed hadoop-yarn and discovered the below as its top functions. This is intended to give you an instant insight into hadoop-yarn implemented functionality, and help decide if they suit your requirements.

Render the statistics .
Handles a node heartbeat .
Parse the constraint list .
increment the opr for success
Handle node manager event .
Bind the services .
Requests that the current application has been created .
Create failure log
Generate the HTML code for the jobs table .
Expire a node .

Get all kandi verified functions for this library.

hadoop-yarn Key Features

No Key Features are available at this moment for hadoop-yarn.

hadoop-yarn Examples and Code Snippets

No Code Snippets are available at this moment for hadoop-yarn.

Community Discussions

Trending Discussions on hadoop-yarn

Spring Boot Logging to a File

Map-only job is not running. Stuck at Running job

GCP Dataproc - cluster creation failing when using connectors.sh in initialization-actions

Fair Scheduler policies - FAIR

ERROR delegation.AbstractDelegationTokenSecretManager: ExpiredTokenRemover received java.lang.InterruptedException: sleep interrupted(hadoop window10)

cannot import graphframes dependency in maven project

Apache Oozie throws ClassNotFoundException (org.apache.hadoop.conf.Configuration) during startup

How to resolve a ConnectException when running a jar on Hadoop?

flink 1.12.1 example application failing on a single node yarn cluster

Hadoop YARN: How to force a Node to be Marked "LOST" instead of "SHUTDOWN"?

QUESTION

Spring Boot Logging to a File

Asked 2022-Feb-16 at 14:49

In my application config i have defined the following properties:

...

ANSWER

Answered 2022-Feb-16 at 13:12

Acording to this answer: https://stackoverflow.com/a/51236918/16651073 tomcat falls back to default logging if it can resolve the location

Can you try to save the properties without the spaces.

Like this: logging.file.name=application.logs

Source https://stackoverflow.com/questions/71142413

QUESTION

Map-only job is not running. Stuck at Running job

Asked 2022-Feb-08 at 09:38

I have streamed data through Apache Flume and the data has been stored in a temp file in my hdfs folder at: user/*****/tweets/FlumeData.1643626732852.tmp

Now I am trying to run a mapper only job which will be pre-processing the job by way of url removal, # tag removal, @ removal, stop word removal etc.

However, the mapper only job is stopped at Running job.

Mapper job code:

...

ANSWER

Answered 2022-Feb-08 at 09:38

Solved my problem by changing the mapreduce.framework.name from yarn to local in mapred-site.xml.

The problem seemed to be happening due to resource crunch in the machine.

Also after changing the properties, restart Hadoop services once again.

Source https://stackoverflow.com/questions/70928711

QUESTION

GCP Dataproc - cluster creation failing when using connectors.sh in initialization-actions

Asked 2022-Feb-01 at 20:01

I'm creating a Dataproc cluster, and it is timing out when i'm adding the connectors.sh in the initialization actions.

here is the command & error

...

ANSWER

Answered 2022-Feb-01 at 20:01

It seems you are using an old version of the init action script. Based on the documentation from the Dataproc GitHub repo, you can set the version of the Hadoop GCS connector without the script in the following manner:

Source https://stackoverflow.com/questions/70944833

QUESTION

Fair Scheduler policies - FAIR

Asked 2021-Nov-11 at 07:19

I'm currently trying to understand the resource allocation within a cloudera cluster. In our organization we use the FairScheduler (https://hadoop.apache.org/docs/stable/hadoop-yarn/hadoop-yarn-site/FairScheduler.html) and I'm not sure if i understand the FAIR policy correctly.

To summarize what I understood so far.

FIFO: Every job gets all resources it needs, since all resources are allocated. From this point the applications have to wait for free resources and will be executed in the in the same order as they arrived.

FAIR: Every job gets a fair share of the resources. If only 1 job arrives it gets all the available resources. If 2 Jobs arrive each job gets 1/2 of the resources.

But what happened if job 1 needs only 25% whereas job 2 needs 75%. Will this be a problem (1 gets 25% but 2 gets 50%)? Or will this be solved with max-min fairness?

DRF: Seeks to maximize the smallest dominant share in the system, then the second-smallest, and so on. (I know it's more complex but my question relates more to the FAIR policy)

...

ANSWER

Answered 2021-Nov-10 at 20:40

Your example doesn't really create contention and therefore wouldn't really illustrate the difference between FIFO and FAIR. Scheduler policies only really come into play when a request for resource that exceed the existing capacity (resource contention). (So your example of %75 and %25 would run as is and there wouldn't be an issue. You wouldn't see a difference in handling between FIFO and FAIR)

When a third job submitted to the same queue that is when the policy would try to enforce "fair resourcing" of %33. How aggressively yarn enforces the policy and how it impacted the job would depend on your settings but there would be an effort to re-allocate the resources 'fairly'.

This video helps illustrate this topic and is worth a watch.

Here's another post (I didn't create) that also does a good job of explaining different scheduling strategies.

Source https://stackoverflow.com/questions/69916789

QUESTION

ERROR delegation.AbstractDelegationTokenSecretManager: ExpiredTokenRemover received java.lang.InterruptedException: sleep interrupted(hadoop window10)

Asked 2021-Jul-07 at 10:14

I use windows 10 and node manager also not starting correctly. I see the following errors:

...

ANSWER

Answered 2021-Jul-07 at 10:11

You have access denied, maybe need to run with another user. Try to start services with a user with more access like Administrator in windows.

Source https://stackoverflow.com/questions/68280780

QUESTION

cannot import graphframes dependency in maven project

Asked 2021-Jul-05 at 13:22

I have a maven project and i need import graphframe dependency to use spark grapx,this's my pom.xml

...

ANSWER

Answered 2021-Jul-05 at 13:22

The bintray service was shutdown starting from 1st of May. (Press release)

So Apache spark community has provided new repo to host all spark packages. You can add/replace below code snippet in your code and things should work.

Source https://stackoverflow.com/questions/68065826

QUESTION

Apache Oozie throws ClassNotFoundException (org.apache.hadoop.conf.Configuration) during startup

Asked 2021-May-09 at 23:25

I built the Apache Oozie 5.2.1 from the source code in my MacOS and currently having trouble running it. The ClassNotFoundException indicates a missing class org.apache.hadoop.conf.Configuration but it is available in both libext/ and the Hadoop file system.

I followed the 1st approach given here to copy Hadoop libraries to Oozie binary distro. https://oozie.apache.org/docs/5.2.1/DG_QuickStart.html

I downloaded Hadoop 2.6.0 distro and copied all the jars to libext before running Oozie in addition to other configs, etc as specified in the following blog.

https://www.trytechstuff.com/how-to-setup-apache-hadoop-2-6-0-version-single-node-on-ubuntu-mac/

This is how I installed Hadoop in MacOS. Hadoop 2.6.0 is working fine. http://zhongyaonan.com/hadoop-tutorial/setting-up-hadoop-2-6-on-mac-osx-yosemite.html

This looks pretty basic issue but could not find why the jar/class in libext is not loaded.

OS: MacOS 10.14.6 (Mojave)
JAVA: 1.8.0_191
Hadoop: 2.6.0 (running in the Mac)

...

ANSWER

Answered 2021-May-09 at 23:25

I was able to sort the above issue and few other ClassNotFoundException by copying the following jar files from extlib to lib. Both folder are in oozie_install/oozie-5.2.1.

libext/hadoop-common-2.6.0.jar
libext/commons-configuration-1.6.jar
libext/hadoop-mapreduce-client-core-2.6.0.jar
libext/hadoop-hdfs-2.6.0.jar

While I am not sure how many more jars need to be moved from libext to lib while I try to run an example workflow/job in oozie. This fix brought up Oozie web site at http://localhost:11000/oozie/

I am also not sure why Oozie doesn't load the libraries in the libext/ folder.

Source https://stackoverflow.com/questions/67462448

QUESTION

How to resolve a ConnectException when running a jar on Hadoop?

Asked 2021-Apr-08 at 20:23

I have written a simple map reduce job to perform KMeans clustering on some points.

However, when running the following command on Windows 10 cmd:

...

ANSWER

Answered 2021-Apr-08 at 20:23

Changing the core-site.xml configuration seems to do the job:

Source https://stackoverflow.com/questions/67010785

QUESTION

flink 1.12.1 example application failing on a single node yarn cluster

Asked 2021-Feb-28 at 17:13

I am trying out flink example as explained in flink docs in a single node yarn cluster.

As mentioned in this discussion HADOOP_CONF_DIR is also set like below before executing the yarn command.

...

ANSWER

Answered 2021-Feb-28 at 17:13

There was a configuration issue in my setup. In my setup hadoop-yarn-nodemenager is running with yarn user.

Source https://stackoverflow.com/questions/66355206

QUESTION

Hadoop YARN: How to force a Node to be Marked "LOST" instead of "SHUTDOWN"?

Asked 2021-Feb-18 at 15:11

I'm troubleshooting YARN application failures that happen when nodes are LOST, so I'm trying to recreate this scenario. But I'm only able to force nodes to be SHUTDOWN instead of LOST. I'm using AWS EMR, and I've tried:

logging into a node and doing a shutdown -h now
logging into a node and doing sudo stop hadoop-yarn-nodemanager and sudo stop hadoop-hdfs-datanode
killing the NodeManager with a kill -9

Those result in SHUTDOWN nodes but not LOST nodes.

How do I create a LOST node in AWS EMR?

...

ANSWER

Answered 2021-Feb-17 at 15:19

NodeManager is LOST means that ResourceManager haven't received heartbeats from it for a duration of nm.liveness-monitor.expiry-interval-ms milliseconds (default is 10 minutes). You may wanna try to block outbound traffic from NM node to RM's IP (or just the port if RM node runs multiple services), but I'm not sure how exactly that can be accomplished in AWS. Maybe use iptables, for example:

Source https://stackoverflow.com/questions/66145600

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install hadoop-yarn

You can download it from GitHub.
You can use hadoop-yarn like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the hadoop-yarn component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: