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@@ -22,6 +22,8 @@ To view table panels in action and test different configurations with sample dat
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## Options overview
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The table panel has many ways to manipulate your data for optimal presentation.
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+{{< docs-imagebox img="/img/docs/v45/table_options.png" class="docs-image--no-shadow" max-width= "500px" >}}
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1. `Data`: Control how your query is transformed into a table.
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2. `Paging`: Table display options.
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@@ -29,7 +31,7 @@ The table panel has many ways to manipulate your data for optimal presentation.
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## Data to Table
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-{{< docs-imagebox img="/img/docs/v45/table_data_options.png" max-width="500px">}}
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+{{< docs-imagebox img="/img/docs/v45/table_data_options.png" max-width="500px" class="docs-image--right">}}
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The data section contains the **To Table Transform (1)**. This is the primary option for how your data/metric
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query should be transformed into a table format. The **Columns (2)** option allows you to select what columns
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@@ -39,26 +41,26 @@ you want in the table. Only applicable for some transforms.
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### Time series to rows
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-{{< docs-imagebox img="/img/docs/v45/table_ts_to_rows.png" class="docs-image--block" >}}
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+{{< docs-imagebox img="/img/docs/v45/table_ts_to_rows.png" >}}
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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. Where `Metric` is the name of the time series.
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### Time series to columns
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-{{< docs-imagebox img="/img/docs/v45/table_ts_to_columns.png" class="docs-image--block" >}}
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+{{< docs-imagebox img="/img/docs/v45/table_ts_to_columns.png" >}}
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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.
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### Time series aggregations
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-{{< docs-imagebox img="/img/docs/v45/table_ts_to_aggregations.png" class="docs-image--block" >}}
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+{{< docs-imagebox img="/img/docs/v45/table_ts_to_aggregations.png" >}}
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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.
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### Annotations
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-{{< docs-imagebox img="/img/docs/v45/table_annotations.png" class="docs-image--block" >}}
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+{{< docs-imagebox img="/img/docs/v45/table_annotations.png" >}}
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If you have annotations enabled in the dashboard you can have the table show them. If you configure this
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@@ -66,17 +68,17 @@ mode then any queries you have in the metrics tab will be ignored.
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### JSON Data
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-{{< docs-imagebox img="/img/docs/v45/table_json_data.png" class="docs-image--block" max-width="500px">}}
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+{{< docs-imagebox img="/img/docs/v45/table_json_data.png" max-width="500px" >}}
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If you have an Elasticsearch **Raw Document** query or an Elasticsearch query without a `date histogram` use this
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transform mode and pick the columns using the **Columns** section.
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-{{< docs-imagebox img="/img/docs/v45/elastic_raw_doc.png" class="docs-image--block" >}}
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+{{< docs-imagebox img="/img/docs/v45/elastic_raw_doc.png" >}}
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## Table Display
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-{{< docs-imagebox img="/img/docs/v45/table_paging.png" class="docs-image--no-shadow" max-width="350px">}}
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+{{< docs-imagebox img="/img/docs/v45/table_paging.png" class="docs-image--no-shadow docs-image--right" max-width="350px" >}}
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1. `Pagination (Page Size)`: The table display fields allow you to control The `Pagination` (page size) is the threshold at which the table rows will be broken into pages. For example, if your table had 95 records with a pagination value of 10, your table would be split across 9 pages.
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2. `Scroll`: The `scroll bar` checkbox toggles the ability to scroll within the panel, when unchecked, the panel height will grow to display all rows.
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@@ -87,7 +89,7 @@ transform mode and pick the columns using the **Columns** section.
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The column styles allow you control how dates and numbers are formatted.
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-{{< docs-imagebox img="/img/docs/v45/table_column_styles.png" class="docs-image--no-shadow docs-image--block" >}}
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+{{< docs-imagebox img="/img/docs/v45/table_column_styles.png" class="docs-image--no-shadow" >}}
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1. `Name or regex`: The Name or Regex field controls what columns the rule should be applied to. The regex or name filter will be matched against the column name not against column values.
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2. `Column Header`: Title for the column, when using a Regex the title can include replacement strings like `$1`.
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Patrick O'Carroll