In the Azure new log analytics query platform you can query for performance counters and summarize them to finally create a nice graph.
Following the multiple dimensions documentation example it says
Multiple expressions in the by clause creates multiple rows, one for
each combination of values.
I want to query their sample database for networks bytes Send and Received per each computer. Starting with this query it should be something like
Perf
| where TimeGenerated > ago(1d)
| where (CounterName == "Bytes Received/sec" or CounterName == "Bytes Sent/sec")
| summarize avg(CounterValue) by bin(TimeGenerated, 1h), Computer, CounterName
| extend Threshold = 20
| render timechart
The problem is that Send and Received bytes gets grouped in the graph at computer level.
How can multiple dimensions be represented as stated in the documentation so that I have Computer X Bytes Send and Computer X Bytes Received instead of them grouped together witch doesn't make any sense?
Not to mention that in the previous version this was working as expected.
I though that if multiple dimensions are not really accepted a string concatenation would do the trick. A bit hackish in my opinion but it did.
Perf
| where (CounterName == "Bytes Received/sec" or CounterName == "Bytes Sent/sec") and InstanceName matches regex "^Microsoft Hyper-V Network Adapter.*$"
| summarize avg(CounterValue) by strcat(Computer, " ", CounterName), bin(TimeGenerated, 10s)
| render timechart
Another option is this
let RuntimeID = CosmosThroughput_CL
| where MetricName_s == "ProvisionedThroughput" and TimeGenerated between (ago(2h) .. ago(1h))
| order by TimeGenerated desc
| top 1 by TimeGenerated
| distinct RuntimeID_g;
CosmosThroughput_CL
| where MetricName_s == "ProvisionedThroughput" and RuntimeID_g in (RuntimeID)
| project Resource = toupper(Resource), Value = Throughput_d, Container = Container_s, Database = Database_s, MetricName = "Provisioned"
| union
(
AzureDiagnostics
| where ResourceProvider == "MICROSOFT.DOCUMENTDB" and Category == "PartitionKeyRUConsumption"
| where TimeGenerated between (ago(1d) .. ago(1d-1h))
| summarize Value = sum(todouble(requestCharge_s)) by Resource, databaseName_s, collectionName_s
| project Resource, Container = collectionName_s, Database = databaseName_s, Value, MetricName = "HourlyUsage"
)
| union
(
AzureDiagnostics
| where ResourceProvider == "MICROSOFT.DOCUMENTDB" and Category == "PartitionKeyRUConsumption"
| where TimeGenerated between (ago(1d) .. ago(1d-1h))
| summarize Value = sum(todouble(requestCharge_s)/3600) by Resource, databaseName_s, collectionName_s
| project Resource, Container = collectionName_s, Database = databaseName_s, Value, MetricName = "RUs"
)
| project Resource, Database, Container, Value, MetricName
The important part is to project the same column names. Value holds the different values from each table. Second union helps me project another value from the same table.
Related
I need to run a very simple query
requests
| where cloud_RoleName == "blabla"
| summarize Count=count() by url
| order by Count desc
only thing i need to get the data just from the past 5 minutes
if i try this :
requests | where timestamp < ago(5m)
| where cloud_RoleName == "blabla"
| summarize Count=count() by url
| order by Count desc
or this
requests
| where cloud_RoleName == "blabla" and timestamp < ago(5m)
| summarize Count=count() by url
| order by Count desc
but all of them are returning answers with data older than 5 minutes.
ive read the doc and i see no other way of writing this query
can anyone assist?
Make sure to check if the timestamp is greater than the result of ago().
It returns the timestamp from e.g. 5 minutes ago, so if you want the data that is within last 5 minutes, you want the ones with a timestamp higher than that.
So the query should be:
requests
| where timestamp > ago(5m)
| where cloud_RoleName == "blabla"
| summarize Count=count() by url
| order by Count desc
I have a query that fetches the number of unique vulnerabilities found in our images in our Azure Container Registry:
securityresources
| where type == 'microsoft.security/assessments/subassessments'
| where id matches regex '(.+?)/providers/Microsoft.Security/assessments/dbd0cb49-b563-45e7-9724-889e799fa648/'
| parse id with registryResourceId '/providers/Microsoft.Security/assessments/' *
| parse registryResourceId with * "/providers/Microsoft.ContainerRegistry/registries/" registryName
| extend imageDigest = tostring(properties.additionalData.imageDigest), repository = tostring(properties.additionalData.repositoryName)
| project
registryName,
repository,
imageDigest,
severity = properties.status.severity,
vulnId = properties.id,
displayName = properties.displayName,
description = properties.description,
remediation = properties.remediation,
category = properties.category,
impact = properties.impact,
timeGenerated = properties.timeGenerated
| distinct tostring(vulnId)
| summarize count()
I would like to have a graph that shows the number of vulnerabilities over a period of time so we can see (visually) that the number of vulnerabilities are going down (or up), but I have no clue on how to do this. Hopefully someone can help me in achieving this.
instead of distinct tostring(vulnId) | summarize count(), try either of the following:
summarize dcount() by bin(timeGenerated, 1h)
make-series dcount() on timeGenerated step 1h
and then add a | render timechart at the end
e.g:
securityresources
| where type == 'microsoft.security/assessments/subassessments'
| where id matches regex '(.+?)/providers/Microsoft.Security/assessments/dbd0cb49-b563-5e7-9724-889e799fa648/'
| extend vulnId = tostring(properties.id)
| summarize dcount(vulnId) by bin(timeGenerated, 1h)
| render timechart
I have a column full of Computers in Log Analytics. An example is, "window432, linus909, windows322, linux432". I am filtering my disk utilization but I also want to filter by the specific word "window" or "lin". Is that possible? I am using Kusto to query so here's an example of my thought process:
Perf
| where Name == "Utilization Percentage"
and "win" in Computer
Something like this. Is that possible?
Thank you.
Based on given information in the question and based on what I understand, the requirement is to filter based on Computer names starting with either "window" or "lin".
If that is the case then you can accomplish the requirement with startswith string operator.
Query would look something like:
Perf
| where CounterName == #"% Processor Time" and InstanceName == "_Total"
| where Computer startswith "window" or Computer startswith "lin"
or
InsightsMetrics
| where Name == "UtilizationPercentage"
| where Computer startswith "window" or Computer startswith "lin"
Similarly, based on the requirement, you may leverage other string operators like "in", "has", "endswith", etc. string operators or any other operators or functions as appropriate. For more information w.r.t it, please refer Kusto Query Language (KQL) documents.
If i understand the description correctly, this could work.
It:
splits the original comma separated string using split()
expands those using mv-apply
filters out values that don't contain win
aggregates the remaining values into a new (filtered) comma separated string
datatable(Computers:string, id:int)
[
"window432, linus909, windows322, linux432", 1,
"window451, linux459, windows444, linux234", 2,
"android222, ios222, linux333" , 3
]
| mv-apply Computer = split(Computers, ", ") on (
where Computer contains "win"
| summarize Computers = strcat_array(make_list(Computer), ", ")
)
| where isnotempty(Computers)
input:
| Computers | id |
|-------------------------------------------|----|
| window432, linus909, windows322, linux432 | 1 |
| window451, linux459, windows444, linux234 | 2 |
| android222, ios222, linux333 | 3 |
output:
| id | Computers |
|----|-----------------------|
| 1 | window432, windows322 |
| 2 | window451, windows444 |
I am trying to monitor Azure ASR VM Disk churn & throughput processing.
I can get the last hours worth of VM Churn & Upload rate with the following query:
Perf
| where ObjectName == "ASRAnalytics"
| where InstanceName contains "VMName"
| where TimeGenerated >= ago(1h)
| project TimeGenerated, CounterName, Churn_MBps = todouble(CounterValue)/5242880
| render timechart
This will only get me either a line chart showing what the VM upload activity looked like, or a table of values with columns TimeGenerated, Countername, Churn_MBps
How can I aggregate these values into a single value per counter name (SourceVmThrpRate,SourceVmCurnRate) that will show me the total aggregate Churn or Thrp for the total hour?
Kusto Query has aggregated functions; like count(), avg(), max(), etc - you can read more about Aggregated Functions.
I hope below updated query helps; I have added summarize but I have not validated result as I will have different data.
| summarize avg(Churn_MBps) by bin(TimeGenerated, 1h), CounterName
Perf
| where ObjectName == "ASRAnalytics"
| where InstanceName contains "VMName"
| where TimeGenerated >= ago(1h)
| project TimeGenerated, CounterName, Churn_MBps = todouble(CounterValue) / 5242880
| summarize avg(Churn_MBps) by bin(TimeGenerated, 1h), CounterName
| render timechart
I'd like to do,
Extracting "query" strings where param=1 as follows in "2."
Getting pageViews in Analytics with table as "3."
1. Actual urls included in pageView
https://example.com/dir01/?query=apple¶m=1
https://example.com/dir01/?query=apple¶m=1
https://example.com/dir01/?query=lemon+juice¶m=1
https://example.com/dir01/?query=lemon+juice¶m=0
https://example.com/dir01/?query=tasteful+grape+wine¶m=1
2. Value expected to extract
apple
lemon+juice
tasteful+grape+wine
3. Expected output in AI Analytics
Query Parameters | Count
apple | 2
lemon+juice | 1
tasteful+grape+wine | 1
Tried to do
https://learn.microsoft.com/en-us/azure/application-insights/app-insights-analytics-reference#parseurl
https://aka.ms/AIAnalyticsDemo
I think extract or parseurl(url) should be useful. I tried the latter parseurl(url) but don't know how to extract "Query Parameters" as one column.
pageViews
| where timestamp > ago(1d)
| extend parsed_url=parseurl(url)
| summarize count() by tostring(parsed_url)
| render barchart
url
http://aiconnect2.cloudapp.net/FabrikamProd/
parsed_url
{"Scheme":"http","Host":"aiconnect2.cloudapp.net","Port":"","Path":"/FabrikamProd/","Username":"","Password":"","Query Parameters":{},"Fragment":""}
Yes, parseurl is the way to do it. It results in a dynamic value which you can use as a json.
To get the "query" value of the query parameters:
pageViews
| where timestamp > ago(1d)
| extend parsed_url=parseurl(url)
| extend query = tostring(parsed_url["Query Parameters"]["query"])
and to summarize by the param value:
pageViews
| where timestamp > ago(1d)
| extend parsed_url=parseurl(url)
| extend query = tostring(parsed_url["Query Parameters"]["query"])
| extend param = toint(parsed["Query Parameters"]["param"])
| summarize sum(param) by query
You can see how it works on your example values in the demo portal:
let vals = datatable(url:string)["https://example.com/dir01/?
query=apple¶m=1", "https://example.com/dir01/?query=apple¶m=1",
"https://example.com/dir01/?query=lemon+juice¶m=1",
"https://example.com/dir01/?query=lemon+juice¶m=0",
"https://example.com/dir01/?query=tasteful+grape+wine¶m=1"];
vals
| extend parsed = parseurl(url)
| extend query = tostring(parsed["Query Parameters"]["query"])
| extend param = toint(parsed["Query Parameters"]["param"])
| summarize sum(param) by query
Hope this helps,
Asaf