![]() Additionally, you have the option to group by other fields of interest. timeslice 1h count by times lice sour cen ame tom cat timeslice by 5m count by times lice Output of last example: Time count trace A trace operator acts as a highly sophis ticated filter to connect the dots across different log messages. The values operator provides all the distinct values of a field. This allows you to quickly identify and understand all the values a field has in your data. timeslice The timeslice operator segregates data by time period. Each kind of error can be identified by matching a string (e.g., 'No endpoint listening', 'timed out', 'User not found'), but these strings could be anywhere within the message. I am trying to create a view of various kinds of errors over time, to display as stacked bar chart or stacked area. You can use the syntax you are most comfortable with. Sumo Logic count various errors over time. The syntax varies slightly, but the results are equivalent. Sum adds the values of the numerical field being evaluated within the time range analyzed. There are two forms of ternary expression you can use in Sumo Logic queries: one is constructed using the if operator, and the other uses the question mark () operator. □️ stddevįinds the standard deviation value for a distribution of numerical values within the time range analyzed and associated with a group designated by the "group by" field. Multiple pctsampling functions can be included in one query. ![]() The percent sampling function, pctsampling, finds the percentile of a given field. The pct (percentile) operator finds the specified percentiles of a given field. The mostrecent and leastrecent operators, used with the withtime operator, are aggregate operators that allow you to select the most recent or least recent value within a group. Use the min and max functions to find the smallest or largest value in a set of values. In order to calculate the median value for a particular field, you can utilize the pct (percentile) operator with a percentile argument of 50. By default, searches return results in descending chronological order (most recent descending to oldest). The first and last operators return the first or last result relative to the sort order. □️ count, count_distinct, count_frequentĪggregating (group-by) functions are used in conjunction with the group operator and a field name. The averaging function (avg) calculates the average value of the numerical field being evaluated within the time range analyzed. In this section, we'll introduce the following concepts: □️ avg The function count_distinct inserts a field into the pipeline called _count_distinct. ![]() Using the function count inserts a field into the pipeline called _count. Group-by functions always create a Sumo Logic field named with a combination of an underscore ( _) and the function name. When used on aggregation it limits the aggregated result.All Sumo Logic system-generated fields begin with an underscore ( _). When used on processing it limits the results of the logs. Can be used for logs processing or aggregation. Limits the result of an operation by a specified condition. Sorts the results of an aggregation operation by a set of fields, ascending, or descending.Ĭalculates the sum of the values of the specified field, optionally grouped by one or more fields. If the source field is not specified, it defaults to the message field. It can be used to find a count by a specific time interval and can be used to find a total. The new field is added as a field:value pair to the log metadata. The accum operator calculates the cumulative sum of a field. Returns one specific value.Įxtracts the contents of a specified source field into a new field based on a string pattern match. Returns one specific value.Įxtracts the minimum value for a set of values for a specified source field. Sumo Logic count various errors over time. Limits the results of an aggregation operation to a fixed number of results.Įxtracts the maximum value for a set of values for a specified source field. Returns one specific value.Ĭounts the number of events returned by a search, optionally grouped by one or more fields. Operatorĭisplays the column name as the alias value.Ĭalculates an average of values in a specified source field. Note: Advanced search operations are available for LM Logs Enterprise and LM Logs Unlimited customers.
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