apache-flume-1.5.2 is compatible with hadoop-2.5.1 or not? [closed] - flume

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I am new to Apache Flume and I am trying to perform PoC with Apache Flume & Hadoop, but I don't know which version will be suitable for this exercise.
Please help.

I've tested Flume with several versions of Hadoop and always worked. The official Apache Flume documentation does not specify any required Hadoop version in its HDFS Sink so I guess it is using some Hadoop API that has not chenged over time (which is really good). Let's do the exercise of going into the details:
The HDFSWriterFactory class used by HDFSEventSink.process() to get a HDFS writer may provide a:
HDFSSequenceFile: it uses a org.apache.hadoop.io.SequenceFile in order to write the data.
HDFSDataStream: it uses a org.apache.flume.serialization.EventSerializer.
HDFSCompressedDataStream: again, it uses a org.apache.flume.serialization.EventSerializer.
On the one hand, org.apache.hadoop.io.EventSerializer is quite large and seems to maintain a lot of deprecated methods for writing the data, so that could explain the compatibility with all Hadoop versions. On the other hand, org.apache.flume.serialization.EventSerializer uses standard java.io.OutputStream, which I think is quite stable.

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Remove docker dependency [closed]

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One of web tools we intend to use requires docker for installation. Due to limitation in resources, however, the only way for us to deploy this tool is on a shared university php webserver with an associated MySQL database. My question is, can you somehow convert or even "compile" this docker-dependent tool to get some simple package, similar, for instance, to Wordpress? Indeed, as per my understanding, Wordpress development does require docker, while the final package for Wordpress installation does not.
Is this operation of docker-removal possible and is there a standardised workflow? The tool in question is located in the following repository.
I have tried to install the tool as is, being blocked by the lack of admin privileges and the absence of docker on the described university webserver. I have experience in setting up Wordpress, I would expect for my tool of interest to have a more sophisticated installation process (compared to the current 3 steps) without docker and, for instance, to also require manual connection to an SQL-database.
Please excuse me for my limited understanding and layman terms, I am sadly not coming from a computer science background.

Docker - SQL Server Linux auto shutdown [closed]

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This is a first time I use docker, so I'm trying install sql-server-linux use docker in MacOS Mojave.
I'm read tutorial from https://database.guide/how-to-install-sql-server-on-a-mac/. But I meet a problem, my database server auto shutdown.
I'm tried with sudo code but nothing change.
I'm research and nothing talk about this issue.
I have written several webcrallers and always find it easier to build them from the ground up! Scrapy is a very nice module but it's documentation is a little lacking and can be quite challenging to begin with! I recommend using BeautifulSoup4, Python bult in Urllib2, and some socket module! Good luck!

Go concurrency in Ruby [closed]

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I wish to use threads and concurrency features of Go language in my Ruby on Rails project. I have several alternatives, one of them is jRuby. But, I don't like Java (personal preference). I have heard that Go Lang is a perfect replacement for Java. Its even more faster & secure than Java. I saw people comparing its speed to C++ as some of its part is in Assembly itself. People can even write a complete web server like Apache from scratch in Go.
What I am really planning for is: All the low level stuff in Go and rest of it Ruby on Rails. I still want to have the ease of development that RoR has to offer.
Starting in Go 1.5, there is a build mode called c-shared, which allows you to build C shared libraries in Go. These can then be loaded into Ruby using FFI and used in your Rails app. See this brief introduction to the concept.

Is Nix Php-ready? [closed]

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I'm new to Nix and quite excited about it (I've been using it so far for Haskell).
I'm planning to use it to deploy Php applications. However, how Nix deals with
Php packages (installed normally or with pear).
Working with PHP webapps generally requires several running services (php-fpm, httpd, mysqld, redis, etc). The answer depends on how you manage the services -- which, in turn, depends on whether you use:
(a) The full NixOS: NixOS provides a service-management layer - you edit a config file, twiddle some flags, and turn on the services. I haven't done this myself, and I think it needs a more pointed tutorial for folks coming from a PHP webdev background, but the system does exist.
(b) The crossplatform nix/nixpkgs: There does not appear to be a canonical service-management option here. nix basically just gives some binaries (php-fpm, mysqld, etc) which you can launch yourself. It's somewhat daunting for typical PHP developer.
Full disclosure: To try to improve the situation for crossplatform nix+PHP, I've written an example project locolamp. It won't help much with learning NixOS, but it may help get your toes wet with nix+php in cross-platform usage. See:
https://github.com/totten/locolamp
After spending a week trying to configure a LAMP platform and giving up (mainly because I couldn't make PHP send emails), I concluded that Nix is not ready for developping easily PHP application in production.

Do I need to master Hadoop before learning Mahout? [closed]

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Do I need to master Hadoop before learning Mahout? How far I can go (in order to use data mining feature) without learning Hadoop ?
Master? No. If you are using the parts of the project based on Hadoop then basic knowledge is required but sufficient. If you are using the parts not based on Hadoop then you don't need Hadoop at all.
Mahout provides you with the instruments which will enable you to play with data mining. Yes, Mahout also supports Hadoop implementation incase the dataset is huge but it will fairly well without Hadoop on a single machine. Same code will work with or without Hadoop (Haddop will be picked up if Hadoop configuration parameter is set). Knowing Hadoop will add extra weapon to the kitty of Big Data.

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