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As I love border cases I'm wondering if @yuanliu @bowesmana and @livehybrid 's solutions handle properly the situation where not all event is parsed into events. In this case you cannot simply iterat... See more...
As I love border cases I'm wondering if @yuanliu @bowesmana and @livehybrid 's solutions handle properly the situation where not all event is parsed into events. In this case you cannot simply iterate over all extracted fields because the string may be contained within a part of the _raw event which is not extracted. So if you only manipulate fields, you won't catch it. Another thing to consider - automatic lookups and calculated fields. Nobody said it would be easy
1. The SCS docs are not for your normal Splunk Enterprise or Splunk Cloud searching. Yes, they often pop up in google search results. 2. The rex command is for extracting fields from your data. So y... See more...
1. The SCS docs are not for your normal Splunk Enterprise or Splunk Cloud searching. Yes, they often pop up in google search results. 2. The rex command is for extracting fields from your data. So your  search | rex SPL means that Splunk will search for the events matching the search terms of the search command (if you don't specify any command, Splunk implicitly uses the search one) and then from all those events it will try to extract the fields using the regex you provide. In your case it was a regex capturing a group named ssh so if your data matched the regex a field named ssh wojld be created. But if the event doesn't match the regex then the field simply isn't extracted. Nothing else happens. 3. If you want to filter your data by a regex, you have to use the regex command, not rex. But be aware that regex command doesn't capture anything. It just matches the event or an already extracted field against a regex and based on that filters the event stream. 4. While regex-based filtering can sometimes have its uses, it's very inefficient as a "base" method of searching. In your case, the search for the word "ssh" returned just 28 results. And the search without that word returned 2700 events. If you specify a direct search term, Splunk can check its indexes and only consider for further processing the events which contain the word you searched for. But if you did search | regex "\bssh\b" Splunk would have to first fetch all 2700 events from the index and then try to match every single one of them to see if it fits the regex. That is very inefficient way of searching. You'd still get the same 26 results but the processing overhead on this search would be humongous compared to simply searching for the word "ssh".
Hello, Here is what I have. Lookup file containing 52K rows Fields: DATE, USER, COUNT Require forecasting user access, on Sundays, to sensitive data based on 6 months of events to train (Jan-Ju... See more...
Hello, Here is what I have. Lookup file containing 52K rows Fields: DATE, USER, COUNT Require forecasting user access, on Sundays, to sensitive data based on 6 months of events to train (Jan-Jun) 6 months forecasting (Jul-Dec) Data from 2020, so we know the results, but we want to see how close the forecasting was to the actual data DATE format YYYY-MM-DD beginning with 2020-01-05 and ending on 2020-12-27 (Sundays) 52 values USER 1000 values Lookup file; there are 1000 USER values for every DATE; the COUNT is 0 if they did not attempt access, otherwise it is the number of attempts The original lookup is over 1.5 million events (each containing the USER and TIME of attempt) Original TIME value was YYYY-MM-DD HH"MM:SS. But we are concerned with how many attempts that day. Went to ChatGPT to help code the SPL; however, it "claimed" MLTK needed to be in a count of each user for every Sunday, and could work with the original events. Thanks in advance for your help. God bless, Genesius
Thanks. On prem. All-in-one.
I've never worked with splunk regex before so I'm probably just missing something.  I've been up and down  the  https://docs.splunk.com/Documentation/Splunk/latest/Data/Advancedsourcetypeoverrides a... See more...
I've never worked with splunk regex before so I'm probably just missing something.  I've been up and down  the  https://docs.splunk.com/Documentation/Splunk/latest/Data/Advancedsourcetypeoverrides and https://docs.splunk.com/Documentation/SCS/latest/SearchReference/RexCommandOverview pages.  All i'm trying to do is set up some regex for a props/transforms that finds any instance of "ssh" and changes it's sourcetype to "authentication" My search: index=accounting sourcetype=linux_admin | rex field=_raw "(?<ssh>\bssh\b)"  Scoped down to the last 60 minutes, I'm getting 2,700 results and none of them have anything to do with ssh. When I run  "index=accounting sourcetype=linux_admin ssh" - which gives the results I'm actually looking for... I only get 28 results and they're all pertaining to ssh.    What am I missing?    Thanks for the input!!
Hi @anthonyi Are you using an on-premise or Splunk Cloud environment? If you're using Splunk Cloud:  In the Splunk UI, go to Settings -> sourcetypes. Find/click the sourcetype you want to restric... See more...
Hi @anthonyi Are you using an on-premise or Splunk Cloud environment? If you're using Splunk Cloud:  In the Splunk UI, go to Settings -> sourcetypes. Find/click the sourcetype you want to restrict the length of, then click the "Advanced" tab. If there is already a "TRUNCATE" value then update this to 2000 and hit save. If there isnt then click "New Setting" at the bottom and then enter TRUNCATE for the name and 2000 for the value. If you are running on-premise then its unlikely you'll be able to make the changes in this way unless you are using a all-in-one instance, which generally wouldnt be used for production.  Did this answer help you? If so, please consider: Adding karma to show it was useful Marking it as the solution if it resolved your issue Commenting if you need any clarification Your feedback encourages the volunteers in this community to continue contributing
Hello. I cannot find an answer to this simple question, although I have found other information utilizing props.conf and transforms in more complicated situations. I currently have a single Splunk ... See more...
Hello. I cannot find an answer to this simple question, although I have found other information utilizing props.conf and transforms in more complicated situations. I currently have a single Splunk instance as an all-in-one solution, and I am looking for a simple method to truncate ISE logs to 2000 characters to lower Splunk database size. ISE itself is not capable of this. I am very familiar with Splunk via GUI, but not at all with modifying the configuration files, so step by step instructions would be very helpful. Thanks in advance.
@livehybrid  "makecontinuous" - This is exactly what I need! I didn't know there is such useful command. My question is solved. Thank you!
Great question! In that case, it shouldn't return the result(s).
Apologies @robertlynch2020  - I overlooked this - even we extracted it! Lets try again:     | windbag | head 1 | eval _raw="{\"resourceSpans\":[{\"resource\":{\"attributes\":[{\"key\":\"ser... See more...
Apologies @robertlynch2020  - I overlooked this - even we extracted it! Lets try again:     | windbag | head 1 | eval _raw="{\"resourceSpans\":[{\"resource\":{\"attributes\":[{\"key\":\"service.name\",\"value\":{\"stringValue\":\"trade-blotter\"}},{\"key\":\"service.namespace\",\"value\":{\"stringValue\":\"trade-blotter-public\"}}]},\"scopeSpans\":[{\"spans\":[{\"traceId\":\"61df555eabf3b66cd8933809f00e409f\",\"spanId\":\"abc123\",\"name\":\"referenceDataBuildClient\",\"startTimeUnixNano\":\"1746628424928265438\",\"endTimeUnixNano\":\"1746628424928267680\"},{\"traceId\":\"61df555eabf3b66cd8933809f00e409f\",\"spanId\":\"def456\",\"name\":\"readLiveQuery\",\"startTimeUnixNano\":\"1746628424928290524\",\"endTimeUnixNano\":\"1746628424928301728\"}]}]}]}" ``` main section of query below ``` | spath resourceSpans{}.resource.attributes{} output=resourceAttributes | eval service_name=mvfilter(match(resourceAttributes,".*service.name\"")) | eval service_namespace=mvfilter(match(resourceAttributes,".*service.namespace")) | foreach service_name* [| eval <<FIELD>>=json_extract(json_extract(<<FIELD>>,"value"),"stringValue") ] | spath resourceSpans{}.scopeSpans{}.spans{} output=scopeSpans | stats count by scopeSpans, service_namespace | spath input=scopeSpans | rename startTimeUnixNano as start | rename endTimeUnixNano as end | eval _time=start/pow(10,9) | eval duration = end -start | eval duration= duration/1000000 | eval duration = round(duration,0) | eval parentSpanId =if(parentSpanId="" ,"0", $parentSpanId$) | rename name as SPAN_TYPE | search traceId = 61df555eabf3b66cd8933809f00e409f | table _time SPAN_TYPE spanId service_namespace duration | sort _time  Did this answer help you? If so, please consider: Adding karma to show it was useful Marking it as the solution if it resolved your issue Commenting if you need any clarification Your feedback encourages the volunteers in this community to continue contributing
Hi Thanks for your efforts - but I am looking for _time SPANTYPE Service.namespace duration. I think you have given me  | table _time SPAN_TYPE spanId duration.   This is what I have original... See more...
Hi Thanks for your efforts - but I am looking for _time SPANTYPE Service.namespace duration. I think you have given me  | table _time SPAN_TYPE spanId duration.   This is what I have originally, or perhaps I am misreading something. Rob
Hi @Tafadzwa  I'm pleased to be of help. Please consider marking my previous post as the accepted answer and adding Karma so other users finding this issue can see the solution. Thanks
Hi @kevinj  This app is managed by Akamai - you would need to reach out to their support team via support@akamai.com to request this as they may not be monitoring this forum.  Did this answer hel... See more...
Hi @kevinj  This app is managed by Akamai - you would need to reach out to their support team via support@akamai.com to request this as they may not be monitoring this forum.  Did this answer help you? If so, please consider: Adding karma to show it was useful Marking it as the solution if it resolved your issue Commenting if you need any clarification Your feedback encourages the volunteers in this community to continue contributing
Hi @koshyk  I did a PoC with a customer around this a few months ago and we had great success using the regular saved/search endpoint to create searches from a custom app created with contentctl.  ... See more...
Hi @koshyk  I did a PoC with a customer around this a few months ago and we had great success using the regular saved/search endpoint to create searches from a custom app created with contentctl.  We used a custom app which we uploaded the searches into, this way we are following the same pattern as creating a custom app from contentctl which would be uploaded.  ES rules are essentially scheduled searches, with modular alerts, they just show in ES because of some of the settings in them, from memory these might be action.correlationsearch.* and action.notable.param.* settings.  I think the main gotcha that caught is out is that in the savedsearches.conf we use "enabledSched = 1" to schedule a search, however the API expects "is_scheduled =1" (WHY?!?) Check my response below to the following post which has a sample python code to upload a savedsearch if it helps - https://community.splunk.com/t5/All-Apps-and-Add-ons/Custom-app-in-cloud/m-p/745079 @livehybrid wrote: Hi @hazardoom  If you arent wanting to go down the app route then another thing you could look at it is using the REST API.  Ive used this with clients in the past, here is an example to get your started if this is something you wanted to explore: import configparser import requests from urllib.parse import quote # ======= USER CONFIGURATION ========= SPLUNK_HOST = 'https://yoursplunkhost:8089' # e.g., https://localhost:8089 SPLUNK_TOKEN = 'your-token-here' # just the token string, no 'Splunk ' prefix APP = 'search' # target app for the saved searches CONF_FILE = 'savedsearches.conf' # path to your savedsearches.conf file VERIFY_SSL = True # set to False if using self-signed certs USERNAME = 'yourUsername' # API requires this as a path component # ==================================== # Map conf fields to REST API fields def convert_field_name(field, value): """Map .conf fields to API fields and perform value translations.""" if field == "enableSched": return "is_scheduled", "1" if value.strip().lower() in ("1", "true", "yes", "on") else "0" return field, value def load_savedsearches(conf_path): cp = configparser.ConfigParser(strict=False, delimiters=['=']) cp.optionxform = str # preserve case and case sensitivity cp.read(conf_path) return cp def upload_savedsearches(cp): headers = {'Authorization': f'Splunk {SPLUNK_TOKEN}'} base_url = f"{SPLUNK_HOST}/servicesNS/{USERNAME}/{APP}/saved/searches" for savedsearch_name in cp.sections(): data = {'name': savedsearch_name} for field, value in cp[savedsearch_name].items(): api_field, api_value = convert_field_name(field, value) data[api_field] = api_value search_url = f"{base_url}/{quote(savedsearch_name)}" # Check if the saved search exists (GET request) check = requests.get(search_url, headers=headers, verify=VERIFY_SSL) if check.status_code == 200: print(f"Updating existing savedsearch: {savedsearch_name}") r = requests.post(search_url, data=data, headers=headers, verify=VERIFY_SSL) else: print(f"Creating new savedsearch: {savedsearch_name}") r = requests.post(base_url, data=data, headers=headers, verify=VERIFY_SSL) if r.status_code not in (200, 201): print(f"Failed for {savedsearch_name}: {r.status_code} {r.text}") else: print(f"Success: {savedsearch_name}") def main(): cp = load_savedsearches(CONF_FILE) upload_savedsearches(cp) if __name__ == "__main__": main() We use this approach to upload file direct from Git pipelines which is especially useful if you arent an admin on the platform so cannot upload an app - however may also work well for your usecase. Note: you could use the Splunk Python SDK too, which basically does the same thing.  Did this answer help you? If so, please consider: Adding karma to show it was useful Marking it as the solution if it resolved your issue Commenting if you need any clarification Your feedback encourages the volunteers in this community to continue contributing    
Hi @robertlynch2020  I think the following might work?   Full SPL with sample data below: | windbag | head 1 | eval _raw="{\"resourceSpans\":[{\"resource\":{\"attributes\":[{\"key\":\"servi... See more...
Hi @robertlynch2020  I think the following might work?   Full SPL with sample data below: | windbag | head 1 | eval _raw="{\"resourceSpans\":[{\"resource\":{\"attributes\":[{\"key\":\"service.name\",\"value\":{\"stringValue\":\"trade-blotter\"}},{\"key\":\"service.namespace\",\"value\":{\"stringValue\":\"trade-blotter-public\"}}]},\"scopeSpans\":[{\"spans\":[{\"traceId\":\"61df555eabf3b66cd8933809f00e409f\",\"spanId\":\"abc123\",\"name\":\"referenceDataBuildClient\",\"startTimeUnixNano\":\"1746628424928265438\",\"endTimeUnixNano\":\"1746628424928267680\"},{\"traceId\":\"61df555eabf3b66cd8933809f00e409f\",\"spanId\":\"def456\",\"name\":\"readLiveQuery\",\"startTimeUnixNano\":\"1746628424928290524\",\"endTimeUnixNano\":\"1746628424928301728\"}]}]}]}" | spath resourceSpans{}.resource.attributes{} output=resourceAttributes | eval service_name=mvfilter(match(resourceAttributes,".*service.name\"")) | eval service_namespace=mvfilter(match(resourceAttributes,".*service.namespace")) | foreach service_name* [| eval <<FIELD>>=json_extract(json_extract(<<FIELD>>,"value"),"stringValue") ] | spath resourceSpans{}.scopeSpans{}.spans{} output=scopeSpans | stats count by scopeSpans | spath input=scopeSpans | rename startTimeUnixNano as start | rename endTimeUnixNano as end | eval _time=start/pow(10,9) | eval duration = end -start | eval duration= duration/1000000 | eval duration = round(duration,0) | eval parentSpanId =if(parentSpanId="" ,"0", $parentSpanId$) | rename name as SPAN_TYPE | search traceId = 61df555eabf3b66cd8933809f00e409f | table _time SPAN_TYPE spanId duration | sort _time  Did this answer help you? If so, please consider: Adding karma to show it was useful Marking it as the solution if it resolved your issue Commenting if you need any clarification Your feedback encourages the volunteers in this community to continue contributing
Hi I have a difficult one - I am unsure if it is possible. I have large JSON data - Distributed traces.  I can extract the data I need by doing 2 separate SPL - but I need to join them now, I am u... See more...
Hi I have a difficult one - I am unsure if it is possible. I have large JSON data - Distributed traces.  I can extract the data I need by doing 2 separate SPL - but I need to join them now, I am unsure if it is possible! SPL 1  host="Tick_Blotter" index="murex_logs" sourcetype="Market_Risk_DT" | search "resourceSpans{}.resource.attributes{}.value.stringValue"="*" | spath resourceSpans{}.scopeSpans{}.spans{} output=scopeSpans | stats count by scopeSpans | spath input=scopeSpans | rename startTimeUnixNano as start | rename endTimeUnixNano as end | eval _time=start/pow(10,9) | eval duration = end -start | eval duration= duration/1000000 | eval duration = round(duration,0) | eval parentSpanId =if(parentSpanId="" ,"0", $parentSpanId$) | rename name as SPAN_TYPE | search traceId = 61df555eabf3b66cd8933809f00e409f | table _time SPAN_TYPE spanId duration | sort _time This produces below, however, I don't want SpanID anymore - I need something in the second SPL, service.namespace.  I need _time SPANTYPE service.namespace duration   Below is the second SPL - This allows me to see 1 service.namespace per event. host=Tick_blotter index="murex_logs" sourcetype="Market_Risk_DT" 61df555eabf3b66cd8933809f00e409f | spath resourceSpans{}.resource{}.attributes{} output=scopeSpans | stats count by scopeSpans _time | spath input=scopeSpans | eval X_{key}=coalesce('value.doubleValue', 'value.stringValue') | stats values(X_*) as * by _time   The issue is 61df555eabf3b66cd8933809f00e409f is a trace ID, and it over the 2 events. Each event = will only have one service.namespace (So I want to use it). But in the first SPL I don't know how to JOIN/AMMEND it. I am unsure how to access sercive.namespace for each line in the first SPL so I can display it. To add each event only have 1 service.name and can have many SPAN_TYPE   Event: {"resourceSpans":[{"resource":{"attributes":[{"key":"host.name","value":{"stringValue":"dell724srv"}},{"key":"process.executable.name","value":{"stringValue":"java"}},{"key":"process.pid","value":{"intValue":"650298"}},{"key":"service.instance.id","value":{"stringValue":"00kxc0e4"}},{"key":"service.name","value":{"stringValue":"trade-blotter"}},{"key":"service.namespace","value":{"stringValue":"trade-blotter-public"}},{"key":"telemetry.sdk.language","value":{"stringValue":"java"}},{"key":"telemetry.sdk.name","value":{"stringValue":"opentelemetry"}},{"key":"telemetry.sdk.version","value":{"stringValue":"1.34.0"}},{"key":"mx.env","value":{"stringValue":"dell724srv:10011"}}]},"scopeSpans":[{"scope":{"name":"mx-traces-api","version":"1.0.0"},"spans":[{"traceId":"3e7ea1e176f16c59608fa131cc21793d","spanId":"9df98d87b73f8961","parentSpanId":"f8dd62008ede9028","name":"referenceDataBuildClient","kind":1,"startTimeUnixNano":"1746628420019122069","endTimeUnixNano":"1746628420019123490","status":{}},{"traceId":"3e7ea1e176f16c59608fa131cc21793d","spanId":"d4325d7284f04ecb","parentSpanId":"f8dd62008ede9028","name":"readLiveQuery","kind":1,"startTimeUnixNano":"1746628420019135588","endTimeUnixNano":"1746628420019148851","status":{}},{"traceId":"3e7ea1e176f16c59608fa131cc21793d","spanId":"1ea153e8b5d27174","parentSpanId":"f8dd62008ede9028","name":"referenceDataBuildClient","kind":1,"startTimeUnixNano":"1746628420019320912","endTimeUnixNano":"1746628420019322008","status":{}},{"traceId":"3e7ea1e176f16c59608fa131cc21793d","spanId":"eebc3e9c9482b17b","parentSpanId":"b3dd036ff6348169","name":"execute","kind":1,"startTimeUnixNano":"1746628420019612383","endTimeUnixNano":"1746628420029780420","status":{}},{"traceId":"3e7ea1e176f16c59608fa131cc21793d","spanId":"b3dd036ff6348169","parentSpanId":"f8dd62008ede9028","name":"buildExecution","kind":1,"startTimeUnixNano":"1746628420019610081","endTimeUnixNano":"1746628420029782214","status":{}},{"traceId":"3e7ea1e176f16c59608fa131cc21793d","spanId":"b230dae20e6e0491","parentSpanId":"f8dd62008ede9028","name":"adaptResponse","kind":1,"startTimeUnixNano":"1746628420029785049","endTimeUnixNano":"1746628420029971805","status":{}},{"traceId":"3e7ea1e176f16c59608fa131cc21793d","spanId":"f8dd62008ede9028","parentSpanId":"","name":"/client-trade-view","kind":1,"startTimeUnixNano":"1746628420019040641","endTimeUnixNano":"1746628420030145345","attributes":[{"key":"size","value":{"intValue":"115"}},{"key":"view","value":{"stringValue":"D3131F0E-A7CE-E823-F65E-37642545BE49"}},{"key":"user","value":{"stringValue":"ADMIN"}},{"key":"group","value":{"stringValue":"IT_SUP_ALL"}},{"key":"concurrentRequests","value":{"intValue":"0"}}],"status":{}},{"traceId":"54b60b7c6da9a22ba768e8fadf3a3845","spanId":"ef6b58ec87518ee4","parentSpanId":"5d3827ba83adf900","name":"referenceDataBuildClient","kind":1,"startTimeUnixNano":"1746628420771085428","endTimeUnixNano":"1746628420771087409","status":{}},{"traceId":"54b60b7c6da9a22ba768e8fadf3a3845","spanId":"e13e6973c4f2d8fe","parentSpanId":"5d3827ba83adf900","name":"readLiveQuery","kind":1,"startTimeUnixNano":"1746628420771099749","endTimeUnixNano":"1746628420771117672","status":{}},{"traceId":"54b60b7c6da9a22ba768e8fadf3a3845","spanId":"e65ca66fb14b14cc","parentSpanId":"5d3827ba83adf900","name":"referenceDataBuildClient","kind":1,"startTimeUnixNano":"1746628420771311907","endTimeUnixNano":"1746628420771313050","status":{}},{"traceId":"a9b758832f5e732b8098d4c48c57d73f","spanId":"88ccccf728e34dfe","parentSpanId":"e0a1fd2fb002331a","name":"referenceDataBuildClient","kind":1,"startTimeUnixNano":"1746628420774731478","endTimeUnixNano":"1746628420774732699","status":{}},{"traceId":"a9b758832f5e732b8098d4c48c57d73f","spanId":"1fc10a1382cf8aa7","parentSpanId":"e0a1fd2fb002331a","name":"readLiveQuery","kind":1,"startTimeUnixNano":"1746628420774738895","endTimeUnixNano":"1746628420774745792","status":{}},{"traceId":"a9b758832f5e732b8098d4c48c57d73f","spanId":"e29fe64846f193ab","parentSpanId":"e0a1fd2fb002331a","name":"referenceDataBuildClient","kind":1,"startTimeUnixNano":"1746628420774902339","endTimeUnixNano":"1746628420774903483","status":{}},{"traceId":"54b60b7c6da9a22ba768e8fadf3a3845","spanId":"c2ad638af3de778e","parentSpanId":"b122015c9b1f2c26","name":"execute","kind":1,"startTimeUnixNano":"1746628420771668007","endTimeUnixNano":"1746628420782168768","status":{}},{"traceId":"54b60b7c6da9a22ba768e8fadf3a3845","spanId":"b122015c9b1f2c26","parentSpanId":"5d3827ba83adf900","name":"buildExecution","kind":1,"startTimeUnixNano":"1746628420771664771","endTimeUnixNano":"1746628420782171459","status":{}},{"traceId":"54b60b7c6da9a22ba768e8fadf3a3845","spanId":"2a18500faa2fd03e","parentSpanId":"5d3827ba83adf900","name":"adaptResponse","kind":1,"startTimeUnixNano":"1746628420782176882","endTimeUnixNano":"1746628420782241838","status":{}},{"traceId":"54b60b7c6da9a22ba768e8fadf3a3845","spanId":"5d3827ba83adf900","parentSpanId":"","name":"/client-trade-view","kind":1,"startTimeUnixNano":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 
Thanks so much this has been very helpful. I see we will need support help to install the app  
It's complicated Firstly, Splunk stores contents of raw data. Compressed. The compression ratio is more or less known in a typical text data scenario so we could estimate raw data usage. But tha... See more...
It's complicated Firstly, Splunk stores contents of raw data. Compressed. The compression ratio is more or less known in a typical text data scenario so we could estimate raw data usage. But that's definitely not all that Splunk stores about its indexed data. Firstly, it splits the data on major breakers and minor breakers and stores the resulting tokens along with "pointers" to the events they contain (there are some minute details about minor breakers but we'll not be digging into them here). So if you have an event Jan 23 2025 localhost test[23418] sample event Splunk will store the whole raw event in its raw event journal and will generate a "pointer" to that event within that journal (for the sake of this example we will assume the value of this "pointer" is 0xDEADBEEF; it doesn't matter what it looks like in reality internally) Addiitonally, Splunk will split the data and will add separate entries to its index with pointers to the original raw event from each of the split tokens. So the index will contain Token Pointers 2025 0xDEADBEEF 23 0xDEADBEEF 23418 0xDEADBEEF event 0xDEADBEEF jan 0xDEADBEEF localhost 0xDEADBEEF sample 0xDEADBEEF test 0xDEADBEEF Now if Splunk ingests another event Jan 24 2025 localhost test[23418] another sample event It will save it to the raw data journal, assign it another pointer - let's say it's 0x800A18A0. And it will update its index so that it contains now Token Pointers 2025 0xDEADBEEF,0x800A18A0 23 0xDEADBEEF 24 0x800A18A0 23418 0xDEADBEEF,0x800A18A0 another 0x800A18A0 event 0xDEADBEEF,0x800A18A0 jan 0xDEADBEEF,0x800A18A0 localhost 0xDEADBEEF,0x800A18A0 sample 0xDEADBEEF,0x800A18A0 test 0xDEADBEEF,0x800A18A0 So you can see that the actual index contents are highly dependent on the entropy of the data. If you have just one value or a small set of values which simply repeat throughout your whole data stream, the index will contain just a small set of unique values with a lot of "pointers" to the raw events. But if your events contain unique tokens, the index will grow in terms of indexed values and each of them will be pointing to just one raw event. So that's already complicated Additionally, if you create indexed fields, they are actually stored in the same index as the tokens parsed out of the raw event, they're just stored with the field name prefix. So if you created an indexed field called "mytestfield" with a value of "value1", it will be stored in the same index as the tokens, but it will just be saved as "mytestfield::value1". As an interesting trivia - indexed fields are undistinguishable of key::value tokens parsed out of raw data. So indeed, if you're creating indexed fields, you cause the index to grow. There is no simple linear dependency though since the growth depends on the cardinality of the field, the size of the field values (the size of the name itself too), and the number of events to which the index entry has to point. Additionally, Splunk stores some simple summarizing csv files (which are actually relatively negligible in size) as well as bloomfilter which is a kind of a simplified index containing just the tokens, without the relevant pointers. It might seem a bit redundant but is actually pretty useful - Splunk can determine whether to look for the term at all in the bucket without needing to process the full index which might be way bigger. So Splunk can simply skip searching through the particular bucket if it knows it won't find anything. So long story short - it's relatively complicated and there is no simple formula to give you a sure estimate how your data will grow if you - for example - add a single indexed field. The rule of thumb is that the "core" indexed data (the raw events along with essential metadata fields) is about 15% of the original size of the raw data and the indexes add another 35% of the original size of the raw data. But it's only the generalized estimation. There's no way to reliably calculate it beforehand since there are many factors that come into play.
Hi @Tafadzwa  If you download the "Splunk App for Content Packs" and then once installed, from the ITSI main menu, click Configuration > Data Integrations. Select Add content packs or Add structure... See more...
Hi @Tafadzwa  If you download the "Splunk App for Content Packs" and then once installed, from the ITSI main menu, click Configuration > Data Integrations. Select Add content packs or Add structure to your data depending on your version of ITSI. From here you should see the AppDynamics Content Pack.  Did this answer help you? If so, please consider: Adding karma to show it was useful Marking it as the solution if it resolved your issue Commenting if you need any clarification Your feedback encourages the volunteers in this community to continue contributing
Is the size of log after being stored in buckets compared to its raw size a metric I should monitor? This question came in my mind and the problem is I don't really know how to measure it, since fro... See more...
Is the size of log after being stored in buckets compared to its raw size a metric I should monitor? This question came in my mind and the problem is I don't really know how to measure it, since from the deployment/admin view, I can only view the size of a bucket. But a bucket can store logs from multiple hosts, and I don't know the size of the raw logs being sent from each host for a single bucket. So is there any formulas to calculate? AFAIK, the TRANSFORMS- function in props.conf is one of the main factors to increase size of log after being parsed, since it create index-time field extractions. Also, if there is none exact formula, has anyone calculate the log after being parse when using well-known app like parsing WinEventLog or Linux?