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An extractor object is an object with an unapply method. Whereas the apply method is like a constructor which takes arguments and creates an object, the unapply takes an object and tries to give back the arguments. This is most often used in pattern matching and partial functions.
I've found many times the image-package-extractor is unable to extract packages from some images I'm running because the daemon set creates the pods with 50MB of memory request, and the same ammount for it's limits.
kubectl edit ds image-package-extractor --namespace=kube-system
error: daemonsets.apps "image-package-extractor" could not be patched: daemonsets.apps "image-package-extractor" is forbidden: User "jk" cannot patch resource "daemonsets" in API group "apps" in the namespace "kube-system": GKE Warden authz [denied by managed-namespaces-limitation]: the namespace "kube-system" is managed and the request's verb "patch" is denied
kubectl replace -f /tmp/kubectl-edit-751860510.yaml
Error from server (Forbidden): error when replacing "/tmp/kubectl-edit-751860510.yaml": daemonsets.apps "image-package-extractor" is forbidden: User "jk" cannot update resource "daemonsets" in API group "apps" in the namespace "kube-system": GKE Warden authz [denied by managed-namespaces-limitation]: the namespace "kube-system" is managed and the request's verb "update" is denied
I created a field extractor for different fields for an event. Now I would like to search all the events from a source and apply that field extractor to see the fields that I'm interested in. The field extractor seems to appear, but I don't know how to apply that into my search. I've tried REPORT- but no luck. How can I apply a field extractor already created into a search ?
Now, in 2024, 7 years later it is still not very clear how one applies a saved extraction regex to an existing search to extract fields from the search. Especially without access to the various server side configuration files. Splunk has grown long in the tooth, dementia encroaching.
Reality: You probably can't do it simply.
If you have a sourcetype X. The extractors you saved will only run against the base, plain data set sent as X, not against your search, and they run against the base sourcetype automatically. If it was going to work, it would already be working and you would already have your field.
Now, if your search does any kind of transformations like for example pulling log fields out of JSON data using spath, messing around with _raw or similar, the extractor you created isn't going to run against that resulting data set. I know, I've tried. The extractors get applied before that part of the search runs.
You're going to have to go into Settings -> Fields -> Field Extractions and copy/paste the regex created by the web extractor page into your search and manually extract the field within your search using the "rex" command. You may have to tweak it slightly especially for quotes.
It's a little disingenuous of the splunk web extraction generator to take the results of the current search as the input and imply that a saved extractor will actually operate against such a search and pull fields out for you. It doesn't.
Not a useful answer. The question concerned a field extractor, not a transform. Are you implying that the ONLY way Splunk can use a field-extractor is to first create a transform? Pity, since that seems beyond the scope of an ordinary user.
it cannot be done. Splunk is stupid and non-intuitive or maybe they want to sell professional services like ITRS does,it cannot be done the way you want it. you have to plunk down the regex in its entirety.
Splunk is stupid and non-intuitive or maybe they want to sell professional services like ITRS does
Each field extraction is applied to a sourcetype generally. The extractions are only going to work on the sourcetypes they've been setup for, and only in the apps they've been configured in (unless the extraction is set to global sharing), and only for those users who have read permission on the app they are found in.
I have the same issue here. And I cannot access the transforms.conf file (or the server's file system at all) to get the Stanza of my field extractor.
In the Splunk Web-UI in the field extractions overview, the name of my field extractor is like my_sourcetype : EXTRACT-my_new_field.
Is there any other way to derive the Stanza through the Splunk Web-UI?
since you have an EXTRACT option configured there is no transforms.conf stanza linked.
An example for a REPORT option is the default field extraction of splunk_web_access which you can see using this URI:
Your answer from 2020 was very unclear, less clear than the documentation. OK, so here goes: Splunk provides a fascinating way to search and report on log data, and promises simplicity in various use-cases. One (would think) extremely common use-case is for users in the enterprise edition to create custom regular expressions in order to extract values from select log lines, and then do various things with those extracted values.
The documentation and GUI lead one to think one can create a python-perl extended regex to extract such fields. However, instead of then being able to _use_ such a regex, the user must _save_ it somehow with a name. And then the documentation goes off in the weeds without any explanation as to how to _use_ such saved extractions.
There's lots of discussion about props.conf and transforms.conf, but this appears to predate the enterprise edition, in which ordinary users do not have such godlike powers over a centralized, enteprise splunk deployment.
So as simply as possible, please tell me what additional steps an ordinary user within an Splunk enterprise deploymnet must take in order to create searches and then later reports and alerts using saved field-extractions.
it keeps getting me these error:
Error in 'extract' command: Failed to parse the key-value pair configuration for transform 'MYFIELD'.
Do you possibly have in mind what it could be ? I'm kinda trapped on it for a few days
I'm even more late to the party, but am running in somewhat of a similar situation. I have new data coming in via syslog, but no fields are auto extracted. So, I'm using REPORT to extract them. I have the stanza ready, but I placed it in the Heavy forwarder by mistake. Should I place it in the props on the search head or the Indexer for the change to work.
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You can create custom extractors that are specifically suited to your documents,and trained and evaluated with your data. This processor identifies and extractsentities from your documents. You can then use this trained processor onadditional documents.
You can also create and use other types of labelsin your processor schema, such as checkboxes and tabular entities.For example, the W-2 forms contain statutory employee, retirement plan,and third party sick pay check boxes that you could also add to the schema.
When you're at the labeling console, notice that many of the labels are alreadypopulated. This is because the default custom extractor model type is a foundationmodel, which can perform zero-shot prediction, that is, without training.
To use the suggested labels, hold the pointer over each labelin the side panel, and select the check mark to confirm the label is correct. Don't edit the text, even if the OCR reads the text incorrectly.
Use the icons in the toolbar above the document to label. Use thebounding box tool by default, or the Select text tool for multi-line values, to select the content and apply the label.
After text is selected, then a drop-down menu appears with all defined fields (entities)for you to select one. In this example, the value of wages_tips_other_compensationis selected with the bounding box tool, and that label is applied.
The foundation model can accurately extract fields for a variety of document types,but you can also provide additional training data to improve the accuracy of themodel for specific document structures.
To use the suggested labels, hold the pointer over each annotation,and select the check mark to confirm the label is correct. For training purposes,don't edit the values if they don't match the document text. Only change the boundingbox if the wrong text was selected.
For information about the dataset requirements, under Train a custom model,select Create new version or View full requirements. This is not a generativeAI model. At least 10 training instances and 10 test instances of each field are requiredfor a custom model based processor.
Select the Evaluate tabto test the processor version. On this page, you can view evaluation metrics includingthe F1 score, precision and recall for the full document, and individual labels.For more information about evaluation and statistics, refer to evaluate processor.
Download a document that has not been involved in previous training or testingso that you can use it to evaluate the processor version. If using your own data,you would use a document set aside for this purpose.
Select Upload Test Document and select thedocument you just downloaded. The Custom Document Extractor analysis page opens.The screen output demonstrates how well the document was extracted.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
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