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utkarshcmu
2016-02-05 01:50:47 -08:00
parent 4ff6748eb4 59cb429d2d
commit 0201b9769c
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docs/sources/guides/basic_concepts.md
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@@ -77,7 +77,7 @@ The Query Editor exposes capabilities of your Data Source and allows you to quer
Use the Query Editor to build one or more queries (for one or more series) in your time series database. The panel will instantly update allowing you to effectively explore your data in real time and build a perfect query for that particular Panel.
You can utilize [Template variables]((reference/templating/) in the Query Editor within the queries themselves. This provides a powerful way to explore data dynamically based on the Templating variables selected on the Dashboard.
You can utilize [Template variables](/reference/templating/) in the Query Editor within the queries themselves. This provides a powerful way to explore data dynamically based on the Templating variables selected on the Dashboard.
Grafana allows you to reference queries in the Query Editor by the row that they’re on. If you add a second query to graph, you can reference the first query simply by typing in #A. This provides an easy and convenient way to build compounded queries.
docs/sources/reference/http_api.md
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docs/sources/reference/table_panel.md
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@@ -17,7 +17,7 @@ To view table panels in action and test different configurations with sample dat
The table panel has many ways to manipulate your data for optimal presentation.
<img class="no-shadow" src="/img/v2/table-config.png">
<img class="no-shadow" src="/img/v2/table-config2.png">
1. `Data`: Control how your query is transformed into a table.
2. `Table Display`: Table display options.
@@ -33,19 +33,19 @@ you want in the table. Only applicable for some transforms.
### Time series to rows
<img src="/img/v2/table_ts_to_rows.png">
<img src="/img/v2/table_ts_to_rows2.png">
In the most simple mode you can turn time series to rows. This means you get a `Time`, `Metric` and a `Value` column. Where `Metric` is the name of the time series.
### Time series to columns
![](/img/v2/table_ts_to_columns.png)
![](/img/v2/table_ts_to_columns2.png)
This transform allows you to take multiple time series and group them by time. Which will result in the primary column being `Time` and a column for each time series.
### Time series aggregations
![](/img/v2/table_ts_to_aggregations.png)
![](/img/v2/table_ts_to_aggregations2.png)
This table transformation will lay out your table into rows by metric, allowing columns of `Avg`, `Min`, `Max`, `Total`, `Current` and `Count`. More than one column can be added.
### Annotations