![]() You simply can't afford to rely on a software vendor that is not available when you need them, or want to charge you additional fees for assistance. Horse show software is a mission critical part of your show. Submit your feature requests and we will do our best to implement your special features. User requested program and report additions / modifications.New dressage tests are added upon request. Our team continually adds new features based on your requests including support for new and revised USEF, EC, FEI specifications. FREE Technical support - 7 days a week.Exhibitors can submit entries, add/scratch requests, and monitor the show online.A great way to publicize your show for FREE. Publish your show to the web at HorseShowsOnline.Get payments during online entry, or use the same card during the show or at checkout. Accept credit card payments directly to your merchant account.Accept online show entries from the web directly into your HSS database - no data entry required!.Platinum Approved by USEF - the top approval from the leading national US equestrian organization.Code executed concurrently will show the combined execution time.įor example, if your service calls a MySQL database in 3 concurrent threads with an average response time of 0.1 seconds for each thread, the MySQL segment will show up as 0.3. ![]() They are designed to work with the average aggregator function only.They are a combination of many timeslices.Overview metrics allow you to get a breakdown of where time is spent during execution. Metrics with a scope belong to it-their measurements apply to the context of the metric named in the scope attribute. (Optional) The timeslice name of the legacy metric that this metric is "scoped" to. The display_name of the host, if it was set in the agent. The ID of the boot of the host, if available. To get the metric unit for a given metric name, you can use a query like: Learn how to see all metrics available to you. ![]() KeyTransactionName, transactionName, transactionTypeĪpm.Įxternal call response time by transaction type Response time for external calls broken out by external host name Response time for database calls broken out by table operations Here are how the original APM metric timeslice metrics are converted into dimensional metrics: If you don't see a metric you're looking for in this section, see Generic queries. The conversion of original APM metric timeslice metrics into dimensional metrics that are available for querying is an ongoing process and isn't complete. This optional clause displays the results in a time-based chart.įor general information on NRQL syntax, including FROM, FACET, and TIMESERIES, see Intro to NRQL.įor more queries, see Query examples. Sets the transaction type to web, meaning that background/non-web transactions won't be counted. This query uses entity.guid, but you can also use appId or appName. You can select a single entity's GUID, as shown here, or you can select multiple sources. You must specify at least one data source. Note that you can use other aggregator functions. This query uses the converted metric names. This math generates a count of errors out of a total count of transaction metrics. For general tips on querying Metric data, see Metric query examples. Metric is one of our core data types, and metric timeslice data is stored as this data type.
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