I want to use hadoop 2.6.0 and by default it's on YARN mode. So should I write the YARN application like this :
http://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/WritingYarnApplications.html
Or I'm just write some mapreduce application like usual? And what the function of this YARN application?
I nned your suggest, Thanks all.....
Think of YARN as data operating system & MapReduce as your application which runs on top of YARN.
So, you existing MapReduce code should work without any modifications even on YARN mode.
The code example you have posted shows how you could develop your own applications on top of YARN which hides the abstractions of resource allocation, multi-tenancy, distributed programming, failover and so on. For example MapReduce framework itself is re-written as YARN application so that it could run on top of YARN. This allows YARN to run multiple applications (MapReduce, Spark, Tez, Storm, etc) simultaneously on the same cluster.
Related
I'm using a Macbook M1 for development. When I try to deploy my serverless application to AWS I'm running into this error:
I'm using the aws-nodejs-typescript template.
You installed esbuild for another platform than the one you're currently using.
This won't work because esbuild is written with native code and needs to
install a platform-specific binary executable.
Specifically the "esbuild-darwin-arm64" package is present but this platform
needs the "esbuild-darwin-64" package instead. People often get into this
situation by installing esbuild with npm running inside of Rosetta 2 and then
trying to use it with node running outside of Rosetta 2, or vice versa (Rosetta
2 is Apple's on-the-fly x86_64-to-arm64 translation service).
If you are installing with npm, you can try ensuring that both npm and node are
not running under Rosetta 2 and then reinstalling esbuild. This likely involves
changing how you installed npm and/or node. For example, installing node with
the universal installer here should work: https://nodejs.org/en/download/. Or
you could consider using yarn instead of npm which has built-in support for
installing a package on multiple platforms simultaneously.
If you are installing with yarn, you can try listing both "arm64" and "x64"
in your ".yarnrc.yml" file using the "supportedArchitectures" feature:
https://yarnpkg.com/configuration/yarnrc/#supportedArchitectures
Keep in mind that this means multiple copies of esbuild will be present.
Another alternative is to use the "esbuild-wasm" package instead, which works
the same way on all platforms. But it comes with a heavy performance cost and
can sometimes be 10x slower than the "esbuild" package, so you may also not
want to do that.
Why is this happening?
I needed to reinstall serverlesss....
for that I deleted the folder ./serverless in the directory ~
and reinstalled using homebrew
https://formulae.brew.sh/formula/serverless#default
I am currently staying at a location where internet and disk space are at a premium and yarn/npm constantly having to install module every single time isn't the most efficient use of both my disk space and internet data which bring me to my question,
I recently came across pnpm and it perfectly solves my problem (it install modules in a central location and symlink them to your projects), my question is this if i completely migrate to pnpm will that affect the project setup if i was working with someone using yarn/ npm for instance and if i publish a project will the users be forced to use pnpm or they can use any package manager
It is recommended to pick one package manager for a project and force its usage by everyone. pnpm, yarn, npm all have their own lockfiles.
If it is a small project and you don't commit the lockfile, then you may use different package managers. But I still don't recommend this.
Assume I want to use yarn cluster to run a Non-JVM distributed application (e.g. .Net based. is this a good idea?). From what I have read so far, I need to develop a YARN application that consists of
a YARN client that is used to submit the job to the yarn framework
a YARN ApplicationMaster, which is the core to orchestra the application in the cluster.
It seems that the two pieces need to be written using Yarn APIs, which are offered as Jar libraries. It means they have to be written using one of the JVM languages. It seems it's possible to write the YARN client with REST APIs, correct? If yes, it means the client can be written with any language (e.g. C# on .Net). However, for application master, this does not seem to be the case, and it has to use JVM. Correct?
I'm new to YARN. Just want to confirm whether my understanding is correct or not.
The YARN Client and AppMaster need to be written in Java as they are the ones that write to the YARN Java API. The RESTful API, https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/WebServicesIntro.html, is really about offering up the commands that you can do from the CLI.
Fortunately, your "container" processes can be just created with just about anything. http://hortonworks.com/blog/apache-hadoop-yarn-concepts-and-applications/ says it best with the following quote:
"This allows the ApplicationMaster to work with the NodeManager to launch containers ranging from simple shell scripts to C/Java/Python processes on Unix/Windows to full-fledged virtual machines (e.g. KVMs)."
That said, if you are trying to bring a non-Java application (or even a Java one!) that is already a distributed application of sorts then the Slider framework, http://slider.incubator.apache.org/, is probably the best starting point for you.
I have set up a single node cluster of Hadoop 2.6 but i need to integrate zookeeper and hbase with it.
I am a beginner with no prior experience in big data tools.
How do you set up zookeeper to coordinate hadoop cluster and how do we use hbase over hdfs?
How do they combine to make a ecosystem?
For standalone mode, just follow the steps provided in this HBase guide:http://hbase.apache.org/book.html#quickstart
HBase has a standalone mode that makes it easy for starters to get going. In standalone mode hbase,hdfs, and zk runs in single JVM process.
It depends on the kind of system that you want to build. As you said, the Hadoop ecosystem is made my three major components: HBase, HDFS, and zookeeper. Although they can be installed independently from each other, sometimes there is no need to install them all depending on the kind of cluster that you want to setup.
Since you are using a single node cluster, there are two HBase run modes that you can choose: the standalone mode and the pseudo-distributed mode. In the standalone mode there is no need to install HDFS or Zookeeper. HBase will do everything in a transparent way. If you want to use the pseudo-distributed mode, you can run HBase against the local filesystem or against HDFS. If you want to use HDFS, you'll have to install Hadoop. About the zookeeper, again, the HBase will also do the job by itself (you just need to tell him that through the configuration files).
In case you want to use HDFS in the pseudo-distributed mode, downloading Hadoop you will get HDFS and MapReduce. If you don't want to execute MapReduce jobs, just ignore its tools.
If you want to learn more, I think that this guide explains it all very well: https://hbase.apache.org/book.html (check the HBase run modes).
I have read what the Docker is but having hard time finding of what are the real scenarios of using Docker?
It would be great to see here your usages.
I'm replicating production environment with it, on commit on project with jenkins after building binaries i deploy there, launch the required daemons and run integration tests, all in a very short time (a few seconds over the time that takes the integration tests). Having no need to boot, and little overhead on memory/cpu/disk is great for that kind of things.
I could extend that use for development (just adding a volume where the code resides to my git repository, at least for scripting languages) to have the production environment with the code im actually editing, at a fraction of what virtualbox would require.
Also needed to test how to integrate some 3rd party code into a production system that modified DB. Cloned the DB in a container, installed the production system in another, launched both and iterated the integration until i did it well, going back to zero to try again in seconds, and faster, cheaper and more scriptable than doing it with VMs+snapshots.
Also run several desktop browser instances on containers, with their own plugins, cookies, data storage and so on separated. The docker repository example for desktop integration is a good start for it, but planning to test subuser to extend this kind of usage.
I've used Docker to implement a virtualized build server which any user could ask to run a build off their personal git branch in our canonical environment.
Each SSH connection made to the server was connected to a new container, ensuring that all builds were isolated from each other (a major pain point in the past), ensuring that the container's state couldn't be corrupted (since changes were all isolated to that single instance), and ensuring that even developers on platforms such as Windows where Docker (and other tools in our canonical build environment) couldn't be run locally would be able to run builds.
We use it for the following uses:
We have a Jenkins Container which we can use to bring up our Jenkins server. We mount the workspace using volumes so we can migrate the server easily just by copying the files and launching the container somewhere else.
We use a Jetty container to easily deploy our war files in our production and development environment.
We use a whole host of other monitoring tools such as Uptime which we have containers for so that we can bring them up and down on various hosts with a single command.
I use docker to build and test our software on several different Linux distributions (RHEL 4/5/6/7, Ubuntu 12.04, 14.04).
Docker makes it easy and fast to create minimalistic and consistent build environments.
Docker gives you the benefits that other virtualization solutions give you to a fraction of the recourse needed.