Timeslice 1m as my_time_bucket_field_nameįixed-size buckets of 1 minute each. The output field name is aliased to 2hrs.īucketing to 150 buckets over the search results. that build on top of each other parse filter aggregate format keywords. The output field is default _timeslice.įixed-size buckets that are 2 hours long. Sumo Search Master Search Mastery Certification Become a Sumo Logic confidential. Basic examples įixed-size buckets at 5 minutes. But when the DST happens, the result after 12 a.m. In another example, if you had a 4h timeslice, you would usually see results at 12 a.m., 4 a.m., 8 a.m., 12 p.m., etc. For that day, with a 1d timeslice, you would see two entries for the same day: one for 12 a.m. For this reason, results may show more than one entry for that day.įor example, in Australia, DST goes into effect on October 2nd for Spring. When the clock moves forward, any timeslice operation that crosses the DST boundary is affected. There is a known issue with the timeslice operator and Daylight Savings Time (DST). These three already form a powerful trifecta. If no time period or bucket is specified it defaults to the time range of the Search. In the top 10 operator list parse takes the lead, followed by where and count.If you use timeslice with the compare or outlier operators, don't alias timeslice.
For example, if your query specifies 150 buckets, Sumo Logic will find a reasonable clock-aligned resolution to return approximately 150 buckets in the query results. The number of buckets in your query is a target or maximum, not necessarily the exact number of buckets that will be returned.The timeslice operator must be used with an aggregating operator such as count by or group by. Really like that we can throw any imaginable kind of log format into Sumo, have it parsed & make sense of the data via search queries.The sample error message is like this Error occurred. The sample query look like this and use as needed. You can use regex to format the messages and remove the GUID. So all the messages with GUID will be aggregate to single message. After you’ve timesliced the data into buckets, the transpose operator allows you to plot aggregated data in a time series. 1 Answer Sorted by: 3 I believe you need to format the message and remove the GUID. The timeslice operator is commonly used in conjunction with the transpose operator.Creates a field named _timeslice_end that marks the end of the timeslice in milliseconds.If an alias is not provided, a default _timeslice field is created that marks the start of the timeslice in milliseconds. An alias for the timeslice field is optional.
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