system-metrics | System Metrics is a Rails 3 Engine | Analytics library
kandi X-RAY | system-metrics Summary
kandi X-RAY | system-metrics Summary
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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Top functions reviewed by kandi - BETA
- 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
system-metrics Key Features
system-metrics Examples and Code Snippets
Community Discussions
Trending Discussions on system-metrics
QUESTION
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 13:37The getSchema() method that works is:
QUESTION
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 19:02Thinking 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
QUESTION
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 13:23It can be failing for many reasons, please follow this link to track the log to see why the process is failing
QUESTION
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
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 08:06There 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:
QUESTION
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 21:56Are those columns separated by tabs? If yes, then don't expect to find a space character in there.
QUESTION
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 16:53I dont think that you can achieve that via Rest API.
But you can defiantly export flink metrics for further analysis.
QUESTION
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 19:12OK. 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:
QUESTION
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 09:25MYSQL 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
QUESTION
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 15:26Thanks @cricket_007 My problem is i don't give memmory to YARN
sets the maximum memory YARN can utilize In yarn-site.xml
QUESTION
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 15:37Because this is incompatible with hadoop and mahout versions. The Mahout 0.9 random forest algorithm can only run on hadoop 1.x.
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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.
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