mirror of https://github.com/grafana/grafana.git
131 lines
5.1 KiB
Markdown
131 lines
5.1 KiB
Markdown
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title = "What's New in Grafana v2.6"
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description = "Feature & improvement highlights for Grafana v2.6"
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keywords = ["grafana", "new", "documentation", "2.6"]
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type = "docs"
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[menu.docs]
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name = "Version 2.6"
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identifier = "v2.6"
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parent = "whatsnew"
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weight = 7
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# What's new in Grafana v2.6
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## Release highlights
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The release includes a new Table panel, a new InfluxDB query editor, support for Elasticsearch Pipeline Metrics and
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support for multiple Cloudwatch credentials.
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## Table Panel
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<img src="/assets/img/features/table-panel.png">
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The new table panel is very flexible, supporting both multiple modes for time series as well as for
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table, annotation and raw JSON data. It also provides date formating and value formating and coloring options.
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### Time series to rows
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In the most simple mode you can turn time series to rows. This means you get a `Time`, `Metric` and a `Value` column.
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Where `Metric` is the name of the time series.
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<img src="/img/docs/v2/table_ts_to_rows.png">
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### Table Transform
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Above you see the options tab for the **Table Panel**. The most important option is the `To Table Transform`.
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This option controls how the result of the metric/data query is turned into a table.
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### Column Styles
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The column styles allow you control how dates and numbers are formatted.
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### Time series to columns
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This transform allows you to take multiple time series and group them by time. Which will result in a `Time` column
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and a column for each time series.
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<img src="/img/docs/v2/table_ts_to_columns.png">
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In the screenshot above you can see how the same time series query as in the previous example can be transformed into
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a different table by changing the `To Table Transform` to `Time series to columns`.
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### Time series to aggregations
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This transform works very similar to the legend values in the Graph panel. Each series gets its own row. In the Options
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tab you can select which aggregations you want using the plus button the Columns section.
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<img src="/img/docs/v2/table_ts_to_aggregations.png">
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You have to think about how accurate the aggregations will be. It depends on what aggregation is used in the time series query,
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how many data points are fetched, etc. The time series aggregations are calculated by Grafana after aggregation is performed
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by the time series database.
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### Raw logs queries
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If you want to show documents from Elasticsearch pick `Raw Document` as the first metric.
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<img src="/img/docs/v2/elastic_raw_doc.png">
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This in combination with the `JSON Data` table transform will allow you to pick which fields in the document
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you want to show in the table.
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<img src="/img/docs/v2/table_json_data.png">
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### Elasticsearch aggregations
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You can also make Elasticsearch aggregation queries without a `Date Histogram`. This allows you to
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use Elasticsearch metric aggregations to get accurate aggregations for the selected time range.
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<img src="/img/docs/v2/elastic_aggregations.png">
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### Annotations
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The table can also show any annotations you have enabled in the dashboard.
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<img src="/img/docs/v2/table_annotations.png">
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## The New InfluxDB Editor
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The new InfluxDB editor is a lot more flexible and powerful. It supports nested functions, like `derivative`.
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It also uses the same technique as the Graphite query editor in that it presents nested functions as chain of function
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transformations. It tries to simplify and unify the complicated nature of InfluxDB's query language.
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<img src="/assets/img/blog/v2.6/influxdb_editor_v3.gif">
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In the `SELECT` row you can specify what fields and functions you want to use. If you have a
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group by time you need an aggregation function. Some functions like derivative require an aggregation function.
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The editor tries simplify and unify this part of the query. For example:
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The above will generate the following InfluxDB `SELECT` clause:
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```sql
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SELECT derivative(mean("value"), 10s) /10 AS "REQ/s" FROM ....
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```
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### Select multiple fields
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Use the plus button and select Field > field to add another SELECT clause. You can also
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specify an asterix `*` to select all fields.
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### Group By
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To group by a tag click the plus icon at the end of the GROUP BY row. Pick a tag from the dropdown that appears.
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You can remove the group by by clicking on the `tag` and then click on the x icon.
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The new editor also allows you to remove group by time and select `raw` table data. Which is very useful
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in combination with the new Table panel to show raw log data stored in InfluxDB.
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<img src="/assets/img/blog/v2.6/table_influxdb_logs.png">
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## Pipeline metrics
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If you have Elasticsearch 2.x and Grafana 2.6 or above then you can use pipeline metric aggregations like
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**Moving Average** and **Derivative**. Elasticsearch pipeline metrics require another metric to be based on. Use the eye icon next to the metric
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to hide metrics from appearing in the graph.
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## Changelog
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For a detailed list and link to github issues for everything included in the 2.6 release please
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view the [CHANGELOG.md](https://github.com/grafana/grafana/blob/master/CHANGELOG.md) file.
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- - -
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<a href="http://grafana.org/download">Download Grafana 2.6 now</a>
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