![]() ![]() I have already saved these queries in a lookup csv, but unable to reference the lookup file to run the query Index=abc sourcetype=xyz "field_name" |stats count by field_name My requirement is to save these strings in a field and then run a query like Too many open files, CPU Starvation detected, : Cannot obtain connection, thread(s) in total in the server that may be hung, Trust Association Init Error, problems occurred during startup for, OutOfMemoryError) I have a list of query strings (these are just strings not a field) Splunk specifically disclaims any liability and any actions resulting from your use of any information provided on Splunk Lantern.I have a requirement that is somewhat similar: The user- and community-generated information, content, data, text, graphics, images, videos, documents and other materials made available on Splunk Lantern is Community Content as provided in the terms and conditions of the Splunk Website Terms of Use, and it should not be implied that Splunk warrants, recommends, endorses or approves of any of the Community Content, nor is Splunk responsible for the availability or accuracy of such. That’s why 97% of clients are repeat customers. And with hundreds of deployments under our belt, we can guarantee on-time and on-budget project delivery. We guide clients’ decisions, quickly implement the right technologies with the right people, and keep them running for sustainable growth. Our battle-tested processes and methodology help companies with legacy systems get to the cloud faster, so they can be agile, reduce costs, and improve operational efficiencies. Want to learn more about improving data quality? Contact us today! TekStream accelerates clients’ digital transformation by navigating complex technology environments with a combination of technical expertise and staffing solutions. Product tip: Improving data pipeline processing in Splunk Enterprise.Tekstream blog: Data onboarding in Splunk.These resources might help you understand and implement this guidance: You can drill down into the data by clicking on one of the numbers in the columns. The results of the search should look like this, showing the number of line breaking issues, timestamp parsing issues, and aggregation issues for each of your source types. ![]() | rename data_sourcetype as Sourcetype, total_issues as "Total Issues" | stats count(eval(component="LineBreakingProcessor" OR component="DateParserVerbose" OR component="AggregatorMiningProcessor")) as total_issues dc(data_host) AS "Host Count" dc(data_source) AS "Source Count" count(eval(component="LineBreakingProcessor")) AS "Line Breaking Issues" count(eval(component="DateParserVerbose")) AS "Timestamp Parsing Issues" count(eval(component="AggregatorMiningProcessor")) AS "Aggregation Issues" by data_sourcetype | eval data_source=if((isnull(data_source) AND isnotnull(context_source)),context_source,data_source), data_host=if((isnull(data_host) AND isnotnull(context_host)),context_host,data_host), data_sourcetype=if((isnull(data_sourcetype) AND isnotnull(context_sourcetype)),context_sourcetype,data_sourcetype) Index=_internal splunk_server=* source=*splunkd.log* splunk_server=* (log_level=ERROR OR log_level=WARN) (component=AggregatorMiningProcessor OR component=DateParserVerbose OR component=LineBreakingProcessor) This search has been modified so that you can run this on any of your search heads: This search is a modified version of a search from Splunk Monitoring Console > Indexing > Inputs > Data Quality. Run the below search in your environment, with a timeframe of at least the last 15 minutes. You can check if your data is being parsed properly by searching on it, using the index and source type that your data source applies to.
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