In JanusGraph, when any query is executed by Gremlin, how do you know the time it takes to execute the query?
Gremlin has a profile step that will show you the time taken by each part or your query. For example you might do:
g.V().has('team-name','Arsenal').profile()
Related
I am trying to see if Airflow is the right tool for some functionality I need for my project. We are trying to use it as a scheduler for running a sequence of jobs
that start at a particular time (or possibly on demand).
The first "task" is to query the database for the list of job id's to sequence through.
For each job in the sequence send a REST request to start the job
Wait until job completes or fails (via REST call or DB query)
Go to next job in sequence.
I am looking for recommendations on how to break down the functionality discussed above into an airflow DAG. So far my approach would :
create a Hook for the database and another for the REST server.
create a custom operator that handles the start and monitoring of the "job" (steps 2 and 3)
use a sensor to poll handle waiting for job to complete
Thanks
I have a Java application using JanusGraph with a DynamoDB backend. Whenever I try to commit a property greater than 1kB, the transaction hangs and never returns, and does not seem to be generating any error messages. How do I fix this? I have tried changing many JanusGraph settings, including storage.buffer-size.
Is it possible on Firebase or Parse to set up something kinda like a cron job?
Is there a way to set up some sort of timed operation that runs over the stored user data?
For example, I'm writing a program that allows people to RSVP for lunch everyday. If you have RSVPed by noon, then you get paired up with somebody else who has also RSVPed. Using JavaScript, the user can submit their RSVP in the browser.
The question is, can Firebase/Parse execute the code to match everyone at 12:00pm every day?
Yes, this can be done with Parse. You'll need to write your matching function as a background job in cloud code, and then you'll need to schedule the task in the dashboard. In terms of the flexibility in scheduling, it's not as flexible as cron but you can definitely run a task at the same time every day, or every x minutes/hours.
Tasks can take 15 mins max to execute before they're killed, so depending on the size of your database or the complexity of your task, you may need to break it up into different tasks or make it resumable.
Just to confirm about Firebase:
As #rickerbh said, it can be done with Parse, but currently there is no way for you to run your code on Firebase's server. There are 2 options for you 2 solve this:
You could use Firebase Queue and run your code in Node.js
You could use a different library such as Microsoft Azure (I still haven't tried this yet, I'm not sure if it provides Job Scheduling for Android)
However, Firebase is working on something called Firebase Trigger, which will solve our problem, however it is still not released with no confirmed release date.
On oracle 11g, what is the impact of executing a query with SET AUTOTRACE TRACEONLY compare to the execution of the query itself?
Is there any risk to run it on a production environment? Could a deadlock occurs for example or any other problem?
From a_horse_with_no_name
traceonly will still execute the query in the background but simply not fetch the results - so it has the same risks as running the statement without autotrace
Im getting a time out expired.
The timeout period elapsed prior to completion of the operation.
If I execute the same query in SQL server management its getting executed but trying to execute the query through the program does not succeed.
Where could I have gone wrong?
The query is very simple and its throwing exception.
The time out set is 90 sec.
Select isnull(max(voucherid),0)+1 from XXX
dbmanager.executequery(con,"uspXXX",parameter);
Rebuild your statistics and/or indexes on that table.
See this answer.