![]() ![]() | join left=vendor right=products where vendor.vendor_id=products. This example uses a subsearch for the right-side dataset. | join max=0 left=L right=R where L.vendor_id=R.vid products 5. In this example the field names in the left-side dataset and the right-side dataset are different. ![]() This example uses products, which is a saved dataset, for the right-side dataset. This example joins each matching right-side dataset row with the corresponding source data row. To return all of the matching right-side dataset rows, include the max= argument and set the value to 0. Return all matching rows in the right-side datasetīy default, only the first row of the right-side dataset that matches a row of the source data is returned. | join left=products right=vendors where products.product_id=vendors.pid vendors 4. This example uses products and vendors for the aliases. You can use words for the aliases to help identify the datasets involved in the join. | join left=L right=R where L.product_id=R.pid vendors 3. The field in the right-side dataset is pid. The field in the left-side dataset is product_id. The subsearch is limited to returning the first 50,000 results. This means that a second search inside the main search will retrieve results first and then apply those results to the results of the main search. ![]() The data is joined on a product ID field, which have different names. The Pros and Cons of the Splunk Join Command. Join datasets on fields that have different namesĬombine the results from a search with the vendors dataset. | join left=L right=R where L.product_id=R.product_id vendors 2. The data is joined on the product_id field, which is common to both datasets. Join datasets on fields that have the same nameĬombine the results from a search with the vendors dataset. To learn more about the join command, see How the join command works.ġ. Replace the contents of the CSV file with the results returned by a run of the search.The following are examples for using the SPL2 join command. Determine how you would like to have the Results written to the CSV lookup file.Īppend the results returned by a run of the search to the contents of the CSV file.To see a list of the CSV lookup files currently uploaded to your Splunk implementation, select Settings > Lookups > Lookup table files. The Splunk platform then populates the new CSV file with the results of that first triggering search job. If you provide a CSV lookup file name that has not been uploaded to your Splunk implementation, the Splunk platform creates a CSV file with the file name you provide. You can provide the name of a CSV lookup file that has already been uploaded to your Splunk implementation, or you can provide a CSV lookup file name that is not currently uploaded. Provide a File name of a CSV lookup file.Click Add Actions and select Output results to lookup.Enter alert details and configure triggering and throttling as needed.įrom the Alerts page in the Search and Reporting app, select Edit > Edit Alert for an existing alert.įrom the Reports page in the Search and Reporting app, select Edit > Edit schedule for a report. Follow one of the options below.įrom the Search page in the Search and Reporting app, select Save As > Alert. You can configure the output results to lookup action when you create a new alert, edit the actions for an existing alert, or define or edit the schedule for a report.See Define a CSV Lookup in Splunk Web in the Knowledge Manager Manual. Learn how to upload CSV lookup files and create CSV lookup definitions. ![]() The Splunk software uses the outputlookup command to write the search results to the CSV lookup file. The results can replace the existing file contents, or they can be appended to the existing file contents. This action writes the results of a triggered alert or a run of a scheduled report to a CSV lookup file that you specify. ![]()
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