Job status

This section explains how to use metrics to monitor and administer your Upsolver jobs.

When you create a job in Upsolver, metrics are continuously gathered to monitor performance, issues, and errors. These metrics provide extensive information on the running of the job, the data processed by the job - whether an ingestion or transformation job - and details regarding your cluster. You can use these metrics to ensure your jobs run as expected, and that data is flowing efficiently.   
The value given by a metric is useful on its own, though some metrics, when considered in combination with related metrics, provide a greater understanding of the workings of your job. It is helpful to refer to this guide to ensure you diagnose issues quickly and effectively.    
All Jobs
To view metrics for a job, click the Jobs link on the menu to open the All Jobs page. This page provides an overview of all your jobs:
Column
Description
Job
The name of the job.
Status
The job status indicates whether the job is running or in another phase.
Delay
The backlog of events being processed, with the delay measured in time, e.g. 2 Minutes, Up to date.
Errors Last Day
The number of errors encountered by the job since midnight (UTC).
Events Over Time
A graph of events processed since the job started. Hover your mouse over the graph for the exact number of events processed at a point in time.
Created At
Time indicator to show how long since the job was created.
From... To
A graphic with icons to represent the source and target of the job, displaying where the data is being read from and loaded into.
Either, click on a Job to view the metrics, or use the Filters button to display the filter options. The filters enable you to search by Job name, or you can use the Status or Errors Last Day filters for example to dig into specific job issues.
Job Status
Status
Icon
Description
Running
Green
The job is running.
Paused
Grey
The job is paused.
Deleting
Grey
The job is deleting the intermediate data.
Deleted
Grey
The target data has been deleted and the job has been dropped.
Completed
Grey
The job has reached its end date and all work is complete.
Clean-up
Grey
Following a user-defined completion date of a job, the data has surpassed its retention period and is being deleted from the target.
Job Overview
Each job page includes the following metrics:
Status: the current state of the job. See Job Status for a full list of states.
Cluster: this is the name of the compute cluster which is running the job. Use the ALTER JOB command if you need to change the cluster.
Unresolved Errors (Last Hour): if errors have occurred within your job in the last hour, the count of errors displays here. Click on the metric card or navigate to the end of the page to view the Parse errors over time.
Job Details
Click the Job Details button to open the Information window. Here you will find the SQL command specified to create your job and configured options. This is helpful if you want to make changes to your job using the ALTER JOB command. 
This window includes information relevant to your job type, and data source and destination. Furthermore, you can discover which user created the job, when the job was created, and when it was last modified.
Metric groups
Some metrics may not apply to the job type you created or only be relevant to particular data sources or target destinations. You can toggle the Summary / All button to control which metrics are visible to your job: 
Summary: Toggle to display the most relevant metrics to your job.
All: Toggle to view all metrics that are applicable to your job. 
Job metrics are categorized into three groups: Job Execution Status, Data Scanned, and Cluster. 
Job Execution Status
The Job Execution Status metrics include all jobs running on the cluster:
Metric
Description
​Job executions currently running​
The number of currently running job executions.
​Job executions currently in queue​
The number of queued job executions pending.
​Job executions completed - today​
The number of job executions completed today.
​Job executions completed - lifetime​
The number of job executions completed over the lifetime of the job.
​Job executions currently waiting for dependencies​
The number of job executions that are waiting for a dependency to complete.
​Job executions currently retrying after failure​
The number of job executions that encountered an error and are currently retrying.
​Execution Failure Reason​
The error message detailing why the job failed.
Data Scanned
The following metrics provide monitoring information regarding the data processed by your job:
Metric
Description
​Rows read (completed executions)​
The total number of rows scanned by completed executions today. This is a measure of rows that were processed successfully.
​Rows filtered by WHERE clause​
The number of rows that were filtered out because they didn’t pass the WHERE clause predicate defined in the job.
​Average rows scanned per execution​
The average number of rows scanned per each job execution.
​Maximum rows scanned in an execution​
The maximum number of rows scanned in a single job execution today.
​Rows Pending Processing​
The number of rows in the source table that have not been processed yet.
​Discovered Files​
The number of files to load discovered by the job.
​Discovered Bytes​
The number of bytes to load discovered in the source stream.
​Parse Errors (for ingestion jobs)​
The number of items that failed to parse. This value represents a lower bound as malformed items may corrupt subsequent items in the same file as well.
​Written rows (completed executions)​
The number of rows written to the target by the job.
​Rows filtered by HAVING clause​
The number of rows that were filtered out because they did not pass the  HAVING clause predicate defined in the job.
​Rows filtered due to missing partition​
The number of rows that were filtered out because some or all of the partition columns were NULL or empty string.
​Rows filtered due to missing Primary Key​
The number of rows that were filtered out because some or all of the primary key columns were NULL.
​Bytes written (completed executions)​
The size of the data written by the job.
​Columns written​
The number of columns written to by the job. This value can change over time if the query uses * in the SELECT clause.
​Columns written - sparse​
The number of sparse columns written to today. A sparse column is a column that appears in less than 0.01% of all rows.
Cluster
The Cluster metrics help you monitor the performance of, and diagnose issues with, your cluster:
Metric
Description
​Utilization Percent​
Represents how much of the server's processing capacity is in use.
​Tasks in Queue​
The number of job tasks pending execution in the cluster queue.
​Memory Load Index (%GC)​
The percentage of time that the server is doing garbage collection rather than working.
​Reload from disk percent​
The percent of bytes re-loaded into memory from disk.
​Cluster Crashes​
How many server crashes happened in the job’s cluster today.
Progress over time
The Job Status page includes visualizations to provide immediate insight into the performance of your job over a given period of time. You will find the visualizations located below the metrics, and you can use the highly configurable Lifetime button to show data over a specific time span. 
The visualizations include:
Visual
Description
​Delay​
Shows the backlog being processed over time based on the time picker range.
​Handled Events​
The number of events processed over time, based on the time picker. 
​Cluster Utilization​
CPU utilization of a cluster. You can see the resources the job is consuming relative to the entire cluster utilization.
​Errors Over Time​
The number of errors that occurred over time, based on the time picker.
​Error Details​
This table provides you with a view of the errors encountered by the job.
​Parse Errors Over Time​
The number of parse errors that occurred over time, based on the time picker.
​Parsing Errors Details​
This table displays information on the file and the resulting error message.

Column	Description
Job	The name of the job.
Status	The job status indicates whether the job is running or in another phase.
Delay	The backlog of events being processed, with the delay measured in time, e.g. 2 Minutes, Up to date.
Errors Last Day	The number of errors encountered by the job since midnight (UTC).
Events Over Time	A graph of events processed since the job started. Hover your mouse over the graph for the exact number of events processed at a point in time.
Created At	Time indicator to show how long since the job was created.
From... To	A graphic with icons to represent the source and target of the job, displaying where the data is being read from and loaded into.

Status	Icon	Description
Running	Green	The job is running.
Paused	Grey	The job is paused.
Deleting	Grey	The job is deleting the intermediate data.
Deleted	Grey	The target data has been deleted and the job has been dropped.
Completed	Grey	The job has reached its end date and all work is complete.
Clean-up	Grey	Following a user-defined completion date of a job, the data has surpassed its retention period and is being deleted from the target.

Metric	Description
Job executions currently running	The number of currently running job executions.
Job executions currently in queue	The number of queued job executions pending.
Job executions completed - today	The number of job executions completed today.
Job executions completed - lifetime	The number of job executions completed over the lifetime of the job.
Job executions currently waiting for dependencies	The number of job executions that are waiting for a dependency to complete.
Job executions currently retrying after failure	The number of job executions that encountered an error and are currently retrying.
Execution Failure Reason	The error message detailing why the job failed.

Metric	Description
Rows read (completed executions)	The total number of rows scanned by completed executions today. This is a measure of rows that were processed successfully.
Rows filtered by WHERE clause	The number of rows that were filtered out because they didn’t pass the WHERE clause predicate defined in the job.
Average rows scanned per execution	The average number of rows scanned per each job execution.
Maximum rows scanned in an execution	The maximum number of rows scanned in a single job execution today.
Rows Pending Processing	The number of rows in the source table that have not been processed yet.
Discovered Files	The number of files to load discovered by the job.
Discovered Bytes	The number of bytes to load discovered in the source stream.
Parse Errors (for ingestion jobs)	The number of items that failed to parse. This value represents a lower bound as malformed items may corrupt subsequent items in the same file as well.
Written rows (completed executions)	The number of rows written to the target by the job.
Rows filtered by HAVING clause	The number of rows that were filtered out because they did not pass the HAVING clause predicate defined in the job.
Rows filtered due to missing partition	The number of rows that were filtered out because some or all of the partition columns were NULL or empty string.
Rows filtered due to missing Primary Key	The number of rows that were filtered out because some or all of the primary key columns were NULL.
Bytes written (completed executions)	The size of the data written by the job.
Columns written	The number of columns written to by the job. This value can change over time if the query uses * in the SELECT clause.
Columns written - sparse	The number of sparse columns written to today. A sparse column is a column that appears in less than 0.01% of all rows.

Metric	Description
Utilization Percent	Represents how much of the server's processing capacity is in use.
Tasks in Queue	The number of job tasks pending execution in the cluster queue.
Memory Load Index (%GC)	The percentage of time that the server is doing garbage collection rather than working.
Reload from disk percent	The percent of bytes re-loaded into memory from disk.
Cluster Crashes	How many server crashes happened in the job’s cluster today.

Visual	Description
Delay	Shows the backlog being processed over time based on the time picker range.
Handled Events	The number of events processed over time, based on the time picker.
Cluster Utilization	CPU utilization of a cluster. You can see the resources the job is consuming relative to the entire cluster utilization.
Errors Over Time	The number of errors that occurred over time, based on the time picker.
Error Details	This table provides you with a view of the errors encountered by the job.
Parse Errors Over Time	The number of parse errors that occurred over time, based on the time picker.
Parsing Errors Details	This table displays information on the file and the resulting error message.

Views

Job Execution Status

Last modified 2mo ago