Hi @viku7474 , please try this: <your_search>
NOT [ | inputlookup vtest | rename message AS query | fields quey ] in this way you perform a full text search in the main search using the lookup's m...
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Hi @viku7474 , please try this: <your_search>
NOT [ | inputlookup vtest | rename message AS query | fields quey ] in this way you perform a full text search in the main search using the lookup's message values. Ciao. Giuseppe
Hi @paragg , you can use Dashboard Studio (as hinted by @andrew_nelson ) or reduct my solution to only the text boxes: <dashboard version="1.1">
<label>Home Page</label>
<row>
<panel>
...
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Hi @paragg , you can use Dashboard Studio (as hinted by @andrew_nelson ) or reduct my solution to only the text boxes: <dashboard version="1.1">
<label>Home Page</label>
<row>
<panel>
<html>
<h1>Title Panel 1</h1>
<table border="0" cellpadding="10" align="center">
<th>
<tr>
<td align="center">
<a href="/app/my_app/dashboard1">
Title Dashboard 1
</a>
</td>
<td align="center">
<a href="/app/my_app/dashboard2">
Title Dashboard 2
</a>
</td>
<td align="center">
<a href="/app/my_app/dashboard3">
Title Dashboard 3
</a>
</td>
</tr>
</th>
</table>
</html>
</panel>
</row>
</dashboard> Ciao. Giuseppe
Yes, i agree with you. But i was looking for time frame colors After 7 AM, 12 PM, 7 PM, 9:35 PM - Red and Before 7 AM, 12 PM, 7 PM, 9:35 PM - Green Time expecting this color in Time field ...
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Yes, i agree with you. But i was looking for time frame colors After 7 AM, 12 PM, 7 PM, 9:35 PM - Red and Before 7 AM, 12 PM, 7 PM, 9:35 PM - Green Time expecting this color in Time field 25-05-2024 19:06 Red After 7PM 25-05-2024 22:10 Red After 10 PM 25-05-2024 22:16 Red After 10 PM 26-05-2024 06:50 Green Before 7AM 26-05-2024 06:52 Green Before 7AM 26-05-2024 11:50 Green Before 12 PM 26-05-2024 11:52 Green Before 12 PM 27-05-2024 07:09 Red After 7AM 27-05-2024 07:10 Red After 7AM 27-05-2024 11:52 Green Before 12 PM 27-05-2024 11:57 Green Before 12 PM
Hello @JayD, As you already mentioned that the apps have been forgotten for over a year, it is likely that the latest details have not been updated on the instance. You can first ensure that you hav...
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Hello @JayD, As you already mentioned that the apps have been forgotten for over a year, it is likely that the latest details have not been updated on the instance. You can first ensure that you have upgraded the Upgrade Readiness App to the latest version and re-run the scan. If the above apps still fail, you can follow the following steps as a workaround: - Run the following script - /opt/splunk/etc/apps/python_upgrade_readiness_app/bin/pura_get_all_apps.py (Internet connection will be required). - Create a directory named app_list in the following path - /opt/splunk/etc/apps/python_upgrade_readiness_app/local/ - Place the attached splunkbaseapps.csv in the app_list folder. - Re-run the scan and check for the final report. Thanks, Tejas. --- If the above solution helps, an upvote is appreciated.
Hello @Polarbear, That shouldn't be the case ideally. It can cause communication break. To avoid this kind of situation, Splunk supports backward compatibility. But that generally happens from highe...
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Hello @Polarbear, That shouldn't be the case ideally. It can cause communication break. To avoid this kind of situation, Splunk supports backward compatibility. But that generally happens from higher tier node to lower tier node. You can also check the following document to understand the order of upgrade between Splunk components. If the search head node is on higher splunk version than the indexer peers, then that can work. However, the vice versa may not hold true. Order of Upgrade - splunk_upgrade_order_of_ops.graffle Thanks, Tejas. --- If the above solution helps, an upvote is appreciated.
I want to exclude the first set of events and retain the 2nd set of events, via lookup, when I use the search NOT condition, it doesn't work as expected. you're right, exclude_message, there is ...
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I want to exclude the first set of events and retain the 2nd set of events, via lookup, when I use the search NOT condition, it doesn't work as expected. you're right, exclude_message, there is no field as such is getting created.
Can the Universal Forwarder (UF) have a higher version than the Heavy Forwarder (HF) and Indexer (IDX)? Will this cause any impact? The reason is that HF and IDX cannot upgrade their ...
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Can the Universal Forwarder (UF) have a higher version than the Heavy Forwarder (HF) and Indexer (IDX)? Will this cause any impact? The reason is that HF and IDX cannot upgrade their OS to meet the prerequisites for version 9.1.4, which requires Windows 2019. Can I proceed with the UF upgrade first? UF = 9.1.4 HF = 9.1.2 IDX = 9.1.2
It looks like you already have a design of sorts For classic dashboards, start by adding panels and move them around into rows. When you look at the source, you will notice some row and panel objec...
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It looks like you already have a design of sorts For classic dashboards, start by adding panels and move them around into rows. When you look at the source, you will notice some row and panel objects <row>
<panel>
...
</panel>
<panel>
...
</panel>
</row>
<row>
etc. The panels will contain you chosen visualisations, e.g. single, chart, table etc.
Hello, Can anyone help me designing a panel in classic dashboard with multiple rows and columns with visualizations. Updated with the full page design, The problem i am facing is Each box i...
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Hello, Can anyone help me designing a panel in classic dashboard with multiple rows and columns with visualizations. Updated with the full page design, The problem i am facing is Each box is set of panels with different visualizations. Is there any idea to code this as full page visualizaion.
hello. I am an engineer currently doing testing with splunk. We are configuring and testing APM and RUM. I am drawing an indicator using spring boot example. For APM, there is at least a 5-10 min...
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hello. I am an engineer currently doing testing with splunk. We are configuring and testing APM and RUM. I am drawing an indicator using spring boot example. For APM, there is at least a 5-10 minute delay when viewing trace data. Additionally, RUM indicators are drawn at intervals of 15 seconds. Can these settings be configured in near real time? Please be sure to attach relevant materials.
Hi @SSJMBP you can use the IN operator when you want to determine if a field contains one of several values. This can make your search queries cleaner and easier to read. For example, instead of...
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Hi @SSJMBP you can use the IN operator when you want to determine if a field contains one of several values. This can make your search queries cleaner and easier to read. For example, instead of using multiple OR conditions, you can use: sourcetype="fraud_detection.csv" fraud="1" gender IN ("F", "M") This ensures that the filter applies correctly to include events with either gender "F" or "M". Ref: Search Reference Additionally, as already suggest by ITWhisperer, please try always to include a few anonymized example events. This makes it easier for all contributors to understand the dataset you are working with and provide more accurate support. best regards,
That isn't a JSON object, so you could try using rex to parse it - you could try something like this | rex max_match=0 "'(?<field>\w+:\s[^']+)'"
| mvexpand field
| rex field=field "(?<name>\w+):\s(?...
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That isn't a JSON object, so you could try using rex to parse it - you could try something like this | rex max_match=0 "'(?<field>\w+:\s[^']+)'"
| mvexpand field
| rex field=field "(?<name>\w+):\s(?<value>.*)"
| eval {name} = value
| fields - name value
| stats values(*) as * by _raw
Assuming it is releaseyear that has the multiple values, you could try mvexpand |inputlookup abc.csv
|table name published
|lookup def.csv name as name OUTPUT releaseyear
|mvexpand releaseyear
If your Time field is actually an _time field then it will be in epoch format (number of seconds since 1970), if that is the case, then you could try formatting (rather than parsing) - something like...
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If your Time field is actually an _time field then it will be in epoch format (number of seconds since 1970), if that is the case, then you could try formatting (rather than parsing) - something like this for later than 12:30 pm <colorPalette type="expression">if(tonumber(strftime(value,"%H%M%S"))>123000, "#A2CC3E", "#F58F39")</colorPalette>
The filter applies to each event, so if you want to keep an event that has either M* or F*, you need to use OR e.g. sourcetype="fraud_detection.csv" fraud="1" (gender="F'" OR gender="M'") I don't ...
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The filter applies to each event, so if you want to keep an event that has either M* or F*, you need to use OR e.g. sourcetype="fraud_detection.csv" fraud="1" (gender="F'" OR gender="M'") I don't know your data but I am assuming the single quote is part of the gender field. If not, it would be useful if you could share some anonymised events in a code block </> so we can see what it is that you are dealing with.
Hey all,
I'm new to Splunk and only have basic knowledge of Python/Scripting and RegEx. I'm trying to build my hands-on skills right now by doing a job simulation on The Forage for the Commonwe...
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Hey all,
I'm new to Splunk and only have basic knowledge of Python/Scripting and RegEx. I'm trying to build my hands-on skills right now by doing a job simulation on The Forage for the Commonwealth Bank In the first part of the simulation we're required to pull multiple sets of data to create a dashboard with different charts to show fraud attempts by various data sets. The one I'm stuck on is we're asked to pull a chart on "Which gender performed the most fraudulent activities and in what category?" I'm trying to use:
sourcetype="fraud_detection.csv" fraud="1" gender="F'" gender="M'"
| stats count values(fraud) values(age) by category
but the search only accepts one gender argument, either gender="F'" or "M'", for some reason. I've tried using gender="M'" AND gender="F'", gender="F'" + gender="M'", gender="F' + M'" but I can't quite figure it out. I've looked into joining data but I'm not sure that's the solution I'm after? Any help would be appreciated.