Working with the Splunk Query Language
The Splunk query language can be a little difficult to pick up, but once you do, you'll find it helpful to interpret, analyze, and present your data from your Splunk environment. The best way to get comfortable with the query language is to simply dive in.
The following list describes a few things to take into account when working with the query language:
- Narrow your search: The larger the amount of data you want to search over, the longer your query will take to return a result. If you know the time frame or a source, such as the one we created for
docker logs, the query will return the result faster. - Use simple search terms: If you have an idea of what will be included in your log (for example,
ERRORorDEBUG), this is a great place to start with your search terms as it will also help limit the amount of data you are receiving. This is another reason why we used a tag in the previous section when adding logs to our Splunk...
