I want to monitor the status of the jobs to see whether the jobs are running overtime or it failed. if you have the script or any reference then please help me with this. thanks
You can use the databricks runs list command to list all the jobs ran. This will list all jobs and their current status RUNNING/FAILED/SUCCESS/TERMINATED.
If you wanted to see if a job is running over you would then have to use databricks runs get --run-id command to list the metadata from the run. This will return a json which you can parse out the start_time and end_time.
# Lists job runs.
databricks runs list
# Gets the metadata about a run in json form
databricks runs get --run-id 1234
Hope this helps get you on track!
Related
I have a BigQuery scheduled query that is failing with the following error:
Not found: Dataset bunny25256:dataset1 was not found in location US at [5:15]; JobID: 431285762868:scheduled_query_635d3a29-0000-22f2-888e-14223bc47b46
I scheduled the query via the SQL Workspace. When I run the query in the workspace, it works fine. The dataset and everything else that I have created is in the same region: us-central1.
Any ideas on what the problem could be, and how I could fix it or work around it?
There's nothing special about the query, it computes some statistics on a table in dataset1 and puts it in dataset2.
When you submit a query, you submit it to BQ at a given location. The dataset you created lives in us-central1 but your query was submitted to us. The location us and us-central1 are not the same. Change your scheduled query to run in us-central1. See docs on location for more info.
Dataset is not provided correctly- it should be in formate project.dataset.table
try running below in big query
select * from bunny25256:dataset1
you should provide bunny25256:dataset1.table
I've got data buckets setup in GCS and using BigQuery to run all my .csv files from that bucket to build a table. That works flawlessly. I made a simple deduplication query that when manually run, selects only distinct rows and creates a new table with "DeDupe" appended (Code below). That runs flawlessly.
CREATE OR REPLACE TABLE
`project-name-123456.dataset_2022.dataset 2022 DeDuped` AS
SELECT
DISTINCT *
FROM
`project-name-123456.dataset_2022.dataset 2022`
The issue I am having is with scheduling that query. Every time it tries to run I get the error "Error status: Not found: Dataset project-name-123456:dataset_2022 was not found in location US; JobID: project-name-123456:628d7766-0000-2d36-a82f-94eb2c0a664a"
The only thing I can figure is that I have my data location for the dataset as "us-central1" as it has a free tier. And when I go to my scheduled query, whether I select the same data location, or "Default" it always changes to "US Multiple".
Is there a way to fix this?
Or do I need to create my dataset in "US Multiple"?
Trying to cut down on costs as much as possible by keeping it in the us-central1
EDIT: Seems like I just needed to delete and recreate the scheduled query again. Chatted with Google Support and they sorted it. Sorry all!
I am new to BODS, At present I have configured a job to execute every 2 mins to perform transaction from MySQL server and Load into HANA tables.
But sometimes when the data volume in MySQL is too large to transform and load into HANA within 2 Mins, the job is still executing my next iteration for the same job starts which results in BODS failure.
My question is: is there is any option BODS to check for the execution status of the scheduled JOB between runs?
Please help me out with this.
You can create a control/audit table to keep history of each run of bods job. The table should contain fields like eExtractionStart, ExtractionEnd, EndTime etc. And you need to make a change in the job, so that it reads status of previous run from this table before starting the load to Hana data flow. If previous run has not finished, the job can raise an exception.
Let me know if this has been helpful or if you need more information.
Recently, we have begun to see a number of errors such as this when importing from Cloud Storage to BigQuery:
Waiting on job_72ae7db68bb14e93b7a6990ed628aedd ... (153s) Current status: RUNNING
BigQuery error in load operation: Backend Error
Waiting on job_894172da125943dbb2cd8891958d2d10 ... (364s) Current status: RUNNING
BigQuery error in load operation: Backend Error
This process runs hourly, and had previously been stable for a long time. Nothing has changed in the import script or the types of data being loaded. Please let me know if you need any more information.
I looked up these jobs in the BigQuery logs-- both of them appear to have succeeded. It is possible that the error you got was in reading the job state. I've filed an internal bug that we should distinguish between errors in the job and errors getting the state of the job in the bq tool.
After the job runs, you can use bq show -j <job_d> to see what the actual state of the job is. If it is still running, you can run bq wait <job_id>.
I also took a look at the front-end logs; all of the status requests for those job ids returned HTTP 200 (success) codes.
Can you add the --apilog=file.txt parameter to your bq command line (you'll need to add it to the beginning of the command line, as in bq --apilog=file.txt load ...) and send the output of a case where you get another failure? If you're worried about sensitive data, feel free to send it directly to me (tigani at google).
Thanks /
Jordan Tigani /
Google BigQuery Engineer
I am newbee to pig .
I have written a small script in pig , where in i first load the data from two different tables and further right outer join the two tables ,later also i have next join of tables for two different st of data .It works fine .But i want to see
the steps of execution , like in which step my data is loaded that way i can note the time
needed for loading later details of step for data joining like how much time it is
taking for these much records to be joined .
Basically i want to know which part of my pig script is taking longer time to run so
that way i can further optimize my pig script .
Anyway we could println within the script and find which steps got executed which has started to execute .
Through jobtracker details link i could not get much info , just could see mapper is running & reducer is running , but idealy mapper for which part of script is running could not find that.
For example for a hive job run we can see in the jobtracker details link which step is currently getting executed.
Any information will be really helpfull.
Thanks in advance .
I'd suggest you to have a look at the followings:
Pig's Progress Notification Listener
Penny : this is a monitoring tool but I'm afraid that it hasn't been updated in the recent past (e.g: it won't compile for Pig 0.12.0 unless you do some code changes)
Twitter's Ambrose project. https://github.com/twitter/ambrose
On the other, after executing the script you can see a detailed statistics about the execution time of each alias (see: Job Stats (time in seconds)).
Have a look at the EXPLAIN operator. This doesn't give you real-time stats as your code is executing, but it should give you enough information about the MapReduce plan your script generates that you'll be able to match up the MR jobs with the steps in your script.
Also, while your script is running you can inspect the configuration of the Hadoop job. Look at the variables "pig.alias" and "pig.job.feature". These tell you, respectively, which of your aliases (tables/relations) is involved in that job and what Pig operations are being used (e.g., HASH_JOIN for a JOIN step, SAMPLER or ORDER BY for an ORDER BY step, and so on). This information is also available in the job stats that are output to the console upon completion.