system-metrics | System Metrics is a Rails 3 Engine | Analytics library

 by   kunklejr Ruby Version: Current License: MIT

kandi X-RAY | system-metrics Summary

kandi X-RAY | system-metrics Summary

system-metrics is a Ruby library typically used in Analytics applications. system-metrics has no vulnerabilities, it has a Permissive License and it has low support. However system-metrics has 17 bugs. You can download it from GitHub.

System Metrics is a Rails 3 Engine that provides a clean web interface to the performance metrics instrumented with ActiveSupport::Notifications
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            kandi-support Support

              system-metrics has a low active ecosystem.
              It has 105 star(s) with 14 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 3 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of system-metrics is current.

            kandi-Quality Quality

              system-metrics has 17 bugs (0 blocker, 0 critical, 14 major, 3 minor) and 6 code smells.

            kandi-Security Security

              system-metrics has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              system-metrics code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              system-metrics is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              system-metrics releases are not available. You will need to build from source code and install.
              system-metrics saves you 763 person hours of effort in developing the same functionality from scratch.
              It has 1757 lines of code, 98 functions and 62 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed system-metrics and discovered the below as its top functions. This is intended to give you an instant insight into system-metrics implemented functionality, and help decide if they suit your requirements.
            • Process an event .
            • Hash representation of the transaction
            • Runs the request .
            • delete all metrics
            • Determines if the rate limit is exceeded .
            • Validate configuration
            • Convert to date range
            • Consume all queues
            • Returns true if the record is the parent of the specified node .
            • Renders a metric
            Get all kandi verified functions for this library.

            system-metrics Key Features

            No Key Features are available at this moment for system-metrics.

            system-metrics Examples and Code Snippets

            No Code Snippets are available at this moment for system-metrics.

            Community Discussions

            QUESTION

            Why it says "(No such file or directory)" when using the file stored in HDFS?
            Asked 2021-Apr-05 at 13:37

            So I have this file on HDFS but apparently HDFS can't find it and I don't know why.

            The piece of code I have is:

            ...

            ANSWER

            Answered 2021-Apr-05 at 13:37

            The getSchema() method that works is:

            Source https://stackoverflow.com/questions/66943071

            QUESTION

            ekg-core/GHC RTS : bogus GC stats when running on Google Cloud Run
            Asked 2020-Jul-04 at 19:02

            I have two services deployed on Google cloud infrastructure; Service 1 runs on Compute Engine and Service 2 on Cloud Run and I'd like to log their memory usage via the ekg-core library (https://hackage.haskell.org/package/ekg-core-0.1.1.7/docs/System-Metrics.html).

            The logging bracket is similar to this :

            ...

            ANSWER

            Answered 2020-Jul-04 at 19:02

            Thinking a bit longer about this, this behaviour is perfectly reasonable in the "serverless" model; resources(both CPU and memory) are throttled down to 0 when the service is not processing requests [1], which is exactly what ekg picks up.

            Why logs are printed out even outside of requests is still a bit of a mystery, though ..

            [1] https://cloud.google.com/run/docs/reference/container-contract#lifecycle

            Source https://stackoverflow.com/questions/62730996

            QUESTION

            Unable to export hive table to mysql
            Asked 2020-May-05 at 19:28

            I am trying to export a hive table to mysql database whose data is tab delimited as stored in HDFS but the job is failing every time after mapper phase.

            I have referred to many link and resources and cross checked my export command like export-directory, table name and other factors. Also the schema of both the tables are same but still didn't have any idea why the jobs are failing every time.

            Schema in hive :

            ...

            ANSWER

            Answered 2020-Apr-24 at 13:23

            It can be failing for many reasons, please follow this link to track the log to see why the process is failing

            Source https://stackoverflow.com/questions/61402652

            QUESTION

            Dataproc Hadoop MapReduce - can't get it to work
            Asked 2019-Dec-09 at 16:20

            I'm basically trying to run my first Hadoop MapReduce routine, and I have to use Hadoop and MapReduce, as I am doing this for a class project. I want to use Python for the mapper and reducer as I am most comfortable with this language and it is most familiar to my peers. I felt like the easiest way for me to set this up was through a Google DataProc instance, so I have that running as well. I'll describe what I have done and what resources I have used, but I am relatively new to this and I might be missing something.

            Dataproc Configuration

            Dataproc 1

            Dataproc 2

            Dataproc 3

            And, then, I'm able to SSH into my primary node. I have the mapper.py and reducer.py files stored in a Google Cloud Storage bucket.

            Mapper and reducer code is from this Micheal Noll blog post, modified to work with Python 3.

            mapper.py:

            ...

            ANSWER

            Answered 2019-Nov-14 at 08:06

            There are a few different things going on here, but the main thing is it boils down to not necessarily being able to assume that the system environment of each mapper/reducer task (running as YARN containers) is going to necessarily have the same system environment as your logged-in shell. Many elements are going to intentionally be different in most circumstances (such as Java classpaths, etc). Normally with Java-based MapReduce programs this works as intended, since you'll end up with similar environment variables and classpath between the driver code that runs under the hadoop jar command and the executor code that runs on worker nodes in YARN containers. Hadoop streaming is a bit of an oddball since it's not as much of a first-class citizen in normal Hadoop usage.

            Anyways, the main thing you're hitting in this case is that your default Python while logged in to the cluster is the Conda distro and Python version 3.7, but the default Python version in your YARN environment that spawns the mapper/reducer tasks is actually Python 2.7. This is an unfortunate consequence of some legacy compatibility considerations in Dataproc. You can see this in action by hacking a mapper.py to act as a dump of the environment info you need, for example, try running the following commands while SSH'd into your Dataproc cluster:

            Source https://stackoverflow.com/questions/58811116

            QUESTION

            Map Reduce Wrong Output / Reducer not working
            Asked 2019-Nov-17 at 14:50

            I'm trying to gather max and min temperature of a particular station and then finding the sum of temperature per different day but i keep getting an error in the mapper and Have tried a lot of other ways such as use stringtokenizer but same thing, i get an error.

            Sample Input.

            Station Date(YYYYMMDD) element temperature flag1 flat2 othervalue

            i only need station, date(key), element and temperature from the input

            ...

            ANSWER

            Answered 2019-Nov-13 at 21:56

            Are those columns separated by tabs? If yes, then don't expect to find a space character in there.

            Source https://stackoverflow.com/questions/58845700

            QUESTION

            How to request Flink job metrics between start-time and end-time?
            Asked 2019-Oct-10 at 16:53

            I am trying to use Flinks monitoring REST API in order to retrieve some metrics for a specific time period.

            Looking at the documentation, I can find the metrics of the job by navigating to http://hostname:8081/jobs/:jobid and I have the following:

            ...

            ANSWER

            Answered 2019-Oct-10 at 16:53

            I dont think that you can achieve that via Rest API.

            But you can defiantly export flink metrics for further analysis.

            Source https://stackoverflow.com/questions/58302512

            QUESTION

            ERROR streaming.StreamJob: Job not successful
            Asked 2019-Mar-23 at 07:47

            I install Hadoop 2.9.0 and I have 4 nodes. The namenode and resourcemanager services are running on master and datanodes and nodemanagers are running on slaves. Now I wanna run a python MapReduce job. But Job not successful! Please tell me what should I do?

            Log of running of job in terminal:

            ...

            ANSWER

            Answered 2018-Jun-17 at 19:12

            OK. I found the reason of problem. In fact, the following error should be resolved:

            hadoopmaster.png.com/192.168.111.175 to hadoopslave1.png.com:40569 failed on socket timeout exception

            So just did:

            Source https://stackoverflow.com/questions/50897016

            QUESTION

            SCOOP ERROR of database name does not exists even though it exists
            Asked 2019-Feb-08 at 13:41

            I have 3 nodes , one namenode1, datanode1 and datanode2. Scoop and mysql are installed on namenode1.

            when can c the list of database as test.

            ...

            ANSWER

            Answered 2018-Dec-10 at 09:25

            MYSQL needs to be installed on all nodes

            when we run the mysql command in distributed platform then sqoop expects mysql command should be interpreted on all nodes and thats the reason why we need to install it on all nodes. hope this explains the answer

            Source https://stackoverflow.com/questions/52018210

            QUESTION

            Error when execute Map-Reduce program
            Asked 2018-Jun-05 at 15:26

            I use hadoop3.1.0 to run Mapreduce WordCount program on Ubuntu,but it always got this INFO.

            I saw someone ask this similar question before,but that can't work.

            I want to know which file should i modify,or something that i miss.

            My java program is from here.

            master@kevin-VirtualBox:~/MapReduceTutorial$ $HADOOP_HOME/bin/hadoop jar ProductSalePerCountry.jar /inputMapReduce /mapreduce_output_sales

            ...

            ANSWER

            Answered 2018-Jun-05 at 15:26

            Thanks @cricket_007 My problem is i don't give memmory to YARN

            sets the maximum memory YARN can utilize In yarn-site.xml

            Source https://stackoverflow.com/questions/50595056

            QUESTION

            hadoop mahout:run org.apache.classifier.df.mapreduce.TestForest error
            Asked 2018-Jun-03 at 15:37

            I'm new to Mahout and Random-Forest.I wanna classify my dataset and have built the random-forest on my three virtual Hadoop nodes. As we know,first of all,I made the descriptor(/des.info).And I built the classifier(/user/hadoop/forest) .There was an error but it completed successfully.However I was stuck when I tried to test it. My systems are all CentOS7 with hadoop-3.0.0.

            Here is the HDFS:

            ...

            ANSWER

            Answered 2018-Jun-03 at 15:37

            Because this is incompatible with hadoop and mahout versions. The Mahout 0.9 random forest algorithm can only run on hadoop 1.x.

            Source https://stackoverflow.com/questions/50118815

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

            Vulnerabilities

            No vulnerabilities reported

            Install system-metrics

            You can download it from GitHub.
            On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.

            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 .
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            gh repo clone kunklejr/system-metrics

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