Office_Hub_OHubBGTaskError | project-rename exception = Date_Exception ProductĮvent.Rule=330009.2 | rename Date.Exception as execption Splunk has a rename operator that does the same. In the project-rename operator, a query can take advantage of any indexes that are prebuilt for a field. Kusto uses the project-rename operator to rename a field. Office_Hub_OHubBGTaskError | extend state = iff(Data_Exception = 0,"success" ,"error") ProductĮvent.Rule=330009.2 | eval state= if(Data.Exception = "0", "success", "error") Both the eval operator in Splunk and the extend operator in Kusto support only scalar functions and arithmetic operators. Splunk has an eval function, but it's not comparable to the eval operator in Kusto. Office_Hub_OHubBGTaskError | top 20 by Event_SequenceĮxtend the result set with new fields or columns ProductĮvent.Rule="330009.2" | sort Event.Sequence | head 20 In Kusto, you can specify ordering direction by using asc. Get the first n events or rows ordered by a field or columnįor the bottom results, in Splunk, you use tail. In Kusto, limit isn't ordered, but it returns the first n rows that are found. In Splunk, if the results are ordered, head returns the first n results. Kusto log queries also support take as an alias to limit. You also can use the where operator in Splunk, but we don't recommend it. In Splunk, filtering is the default operation on the current index. Kusto log queries start from a tabular result set in which filter is applied. In Kusto, you must start each query with find, an unquoted string is a column name, and the lookup value must be a quoted string. In Splunk, you can omit the search keyword and specify an unquoted string. In the following examples, the Splunk field rule maps to a table in Kusto, and Splunk's default timestamp maps to the Logs Analytics ingestion_time() column.
Splunk eval if statement how to#
The following sections give examples of how to use different operators in Splunk and Kusto. In Kusto, it can be used with the where operator.
(2) In Splunk, the function is invoked by using the eval operator. In Kusto, it's used as part of extend or project. (1) In Splunk, the function is invoked by using the eval operator. | extend myTime = now() - totimespan("1d"). For example, search | eval n=relative_time(now(), becomes. (1) In Kusto, Splunk's equivalent of relative_time(datetimeVal, offsetVal) is datetimeVal + totimespan(offsetVal). Kusto's returns a number between 0.0 and 1.0, or if a parameter is provided, between 0 and n-1. Splunk's function returns a number between zero to 2 31-1. In Splunk, searchmatch allows searching for the exact string. (1) Also note that Splunk uses one-based indices. (1) Although replace functions take three parameters in both products, the parameters are different. Replace_string(), replace_strings() or replace_regex() The following table specifies functions in Kusto that are equivalent to Splunk functions. In Kusto, you can define a policy called ingestion_time that exposes a system column that can be referenced through the ingestion_time() function. In Splunk, each event gets a system timestamp of the time the event was indexed. Both have the ability to work dynamically with data types and roughly equivalent set of datatypes, including JSON support.Ĭoncepts essentially are the same between Kusto and Splunk. Kusto data types are more explicit because they're set on the columns. In Splunk, each event has its own set of fields. In Kusto, this setting is predefined as part of the table structure. Kusto logs have the concept of a table, which has columns. Splunk doesn't expose the concept of event metadata to the search language. Both implementations allow unions and joining across these partitions. This setting directly affects the performance of queries and the cost of the deployment.Īllows logical separation of the data. Splunk doesn't.Ĭontrols the period and caching level for the data. Kusto allows arbitrary cross-cluster queries. The following table compares concepts and data structures between Splunk and Kusto logs: Concept Direct comparisons are made between the two to highlight key differences and similarities, so you can build on your existing knowledge. This article is intended to assist users who are familiar with Splunk learn the Kusto Query Language to write log queries with Kusto.
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