This field option can override the setting and define the width for all columns in pixels.įor example, if you enter 100 in the field, then when you click outside the field, all the columns will be set to 100 pixels wide. Column widthīy default, Grafana automatically calculates the column width based on the table size and the minimum column width. Show or hide column names imported from your data source. Grafana updates the table version and you can then access all table options. To migrate, on the Panel tab, click Table visualization. There's also logic to export test runs based on a modification date, and use that to avoid exporting them on next export operations.Note: If you are using a table visualization created before Grafana 7.0, then you need to migrate to the new table version in order to see these options.
#GRAFANA ANNOTATIONS INFLUXDB CODE#
The code also has some basic logic to deal with pagination on the GraphQL requests more error handling should be provided btw as, for example, the API can return temporary errors or rate limiting errors. We need to obtain the related issue ids (Jira internal ids) of these, as the getTestRuns GraphQL function requires us to pass them (or the Test issue ids, if we prefer to obtain test runs based on that). The code ahead uses a JQL expression to define the source of the data in this case, I aim to export all test runs from project "CALC" in Jira, based on the related Test Execution issues. To achieve this, I've implemented some code in JavaScript. The underlying APIs are different, so I had to make two different implementations in your case, you'll probably just need one of them. Here, we actually have two different product flavors: one for server/datacenter and another cloud based. The first step is to extract data from Xray. As a consequence, I came with something like this: Xray > InfluxDB > Grafana. So, as this initial approach was unsuccessful, I tried to depict what would be the proper architecture for this. These are just a few I won't cover the configuration of these or explore this further to not make this article too exhaustive. overload of API request, as data needs to be fetched each time it is needed.unable to deal with pagination of the underlying APIs.It's possible to do so using some Grafana plugins (GraphQL, JSON API, Infinity) but we will face many limitations, including: I started by trying to use Grafana directly to import the test runs from the source application (i.e., Xray), using either the GraphQL API, for Xray cloud, or the REST API, for Xray server/DC. Grafana is a platform used to analyze and visualize data, supporting multiple sources, dashboard customization, plugins, and more. It also provides integration with Grafana among other. It can be used to store and query our time-related data: in this case our test runs.
In this case, there's an endpoint that we can use to export the test runs from. The Xray server/datacenter product provides a REST API only, for the time being. The latter is more powerfull and that's the one we can use to extract the test runs. Xray cloud (i.e., for Jira cloud) provides a REST API and a GraphQL API. Xray is a well-known test management solution that works highly integrated with Jira (it needs it, actually).
#GRAFANA ANNOTATIONS INFLUXDB SERIES#
In this rather long detailed article, we'll also cover InfluxDB and how it can be useful to store time series data. Well, it was time hope this helps you out and inspires you to try some of these tools.
I've met Grafana in the past but never implemented an end-to-end scenario with it. The idea was to use Grafana to analyze and visualize test results, in this case from a well-known test management solution, Xray, where I work btw. After doing a similar exercise with Splunk, I decided to give a try to Grafana along with InfluxDB.
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