Docs: Replace ampersands with and (#19609)
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Marcus Olsson
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@@ -27,7 +27,7 @@ forget to check your log file (try looking in /var/log/grafana/grafana.log).
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Name | Description
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------------ | -------------
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*Name* | The data source name. This is how you refer to the data source in panels & queries.
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*Name* | The data source name. This is how you refer to the data source in panels and queries.
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*Default* | Default data source means that it will be pre-selected for new panels.
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*Default Region* | Used in query editor to set region (can be changed on per query basis)
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*Custom Metrics namespace* | Specify the CloudWatch namespace of Custom metrics
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@@ -26,7 +26,7 @@ visualize logs or metrics stored in Elasticsearch. You can also annotate your gr
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Name | Description
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------------ | -------------
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*Name* | The data source name. This is how you refer to the data source in panels & queries.
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*Name* | The data source name. This is how you refer to the data source in panels and queries.
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*Default* | Default data source means that it will be pre-selected for new panels.
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*Url* | The HTTP protocol, IP, and port of your Elasticsearch server.
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*Access* | Server (default) = URL needs to be accessible from the Grafana backend/server, Browser = URL needs to be accessible from the browser.
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@@ -98,7 +98,7 @@ For example, if you're using a default setup of Filebeat for shipping logs to El
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The Elasticsearch query editor allows you to select multiple metrics and group by multiple terms or filters. Use the plus and minus icons to the right to add/remove
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metrics or group by clauses. Some metrics and group by clauses haves options, click the option text to expand the row to view and edit metric or group by options.
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## Series naming & alias patterns
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## Series naming and alias patterns
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You can control the name for time series via the `Alias` input field.
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@@ -131,7 +131,7 @@ Query | Description
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------------ | -------------
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*{"find": "fields", "type": "keyword"}* | Returns a list of field names with the index type `keyword`.
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*{"find": "terms", "field": "@hostname", "size": 1000}* | Returns a list of values for a field using term aggregation. Query will use current dashboard time range as time range for query.
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*{"find": "terms", "field": "@hostname", "query": '<lucene query>'}* | Returns a list of values for a field using term aggregation & and a specified lucene query filter. Query will use current dashboard time range as time range for query.
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*{"find": "terms", "field": "@hostname", "query": '<lucene query>'}* | Returns a list of values for a field using term aggregation and a specified lucene query filter. Query will use current dashboard time range as time range for query.
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There is a default size limit of 500 on terms queries. Set the size property in your query to set a custom limit.
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You can use other variables inside the query. Example query definition for a variable named `$host`.
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@@ -28,7 +28,7 @@ queries through the use of query references.
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Name | Description
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------------ | -------------
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*Name* | The data source name. This is how you refer to the data source in panels & queries.
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*Name* | The data source name. This is how you refer to the data source in panels and queries.
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*Default* | Default data source means that it will be pre-selected for new panels.
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*Url* | The HTTP protocol, IP, and port of your graphite-web or graphite-api install.
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*Access* | Server (default) = URL needs to be accessible from the Grafana backend/server, Browser = URL needs to be accessible from the browser.
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@@ -25,7 +25,7 @@ Grafana ships with very feature rich data source plugin for InfluxDB. Supporting
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Name | Description
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------------ | -------------
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*Name* | The data source name. This is how you refer to the data source in panels & queries.
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*Name* | The data source name. This is how you refer to the data source in panels and queries.
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*Default* | Default data source means that it will be pre-selected for new panels.
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*Url* | The HTTP protocol, ip and port of you influxdb api (influxdb api port is by default 8086)
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*Access* | Server (default) = URL needs to be accessible from the Grafana backend/server, Browser = URL needs to be accessible from the browser.
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@@ -76,7 +76,7 @@ the tag key and select `--remove tag filter--`.
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You can type in regex patterns for metric names or tag filter values, be sure to wrap the regex pattern in forward slashes (`/`). Grafana
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will automatically adjust the filter tag condition to use the InfluxDB regex match condition operator (`=~`).
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### Field & Aggregation functions
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### Field and Aggregation functions
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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. The editor tries simplify and unify this part of the query. For example:<br>
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<br>
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@@ -26,7 +26,7 @@ Grafana ships with a built-in Microsoft SQL Server (MSSQL) data source plugin th
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Name | Description
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------------ | -------------
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*Name* | The data source name. This is how you refer to the data source in panels & queries.
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*Name* | The data source name. This is how you refer to the data source in panels and queries.
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*Default* | Default data source means that it will be pre-selected for new panels.
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*Host* | The IP address/hostname and optional port of your MSSQL instance. If port is omitted, default 1433 will be used.
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*Database* | Name of your MSSQL database.
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@@ -58,7 +58,7 @@ Identifier | Description
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### Database User Permissions (Important!)
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The database user you specify when you add the data source should only be granted SELECT permissions on
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the specified database & tables you want to query. Grafana does not validate that the query is safe. The query
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the specified database and tables you want to query. Grafana does not validate that the query is safe. The query
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could include any SQL statement. For example, statements like `DELETE FROM user;` and `DROP TABLE user;` would be
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executed. To protect against this we **Highly** recommend you create a specific MSSQL user with restricted permissions.
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@@ -122,7 +122,7 @@ The query editor has a link named `Generated SQL` that shows up after a query ha
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## Table queries
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If the `Format as` query option is set to `Table` then you can basically do any type of SQL query. The table panel will automatically show the results of whatever columns & rows your query returns.
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If the `Format as` query option is set to `Table` then you can basically do any type of SQL query. The table panel will automatically show the results of whatever columns and rows your query returns.
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**Example database table:**
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@@ -29,7 +29,7 @@ data from a MySQL compatible database.
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Name | Description
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------------ | -------------
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*Name* | The data source name. This is how you refer to the data source in panels & queries.
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*Name* | The data source name. This is how you refer to the data source in panels and queries.
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*Default* | Default data source means that it will be pre-selected for new panels.
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*Host* | The IP address/hostname and optional port of your MySQL instance.
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*Database* | Name of your MySQL database.
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@@ -60,7 +60,7 @@ Identifier | Description
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### Database User Permissions (Important!)
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The database user you specify when you add the data source should only be granted SELECT permissions on
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the specified database & tables you want to query. Grafana does not validate that the query is safe. The query
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the specified database and tables you want to query. Grafana does not validate that the query is safe. The query
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could include any SQL statement. For example, statements like `USE otherdb;` and `DROP TABLE user;` would be
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executed. To protect against this we **Highly** recommend you create a specific mysql user with restricted permissions.
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@@ -156,7 +156,7 @@ The query editor has a link named `Generated SQL` that show up after a query as
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## Table queries
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If the `Format as` query option is set to `Table` then you can basically do any type of SQL query. The table panel will automatically show the results of whatever columns & rows your query returns.
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If the `Format as` query option is set to `Table` then you can basically do any type of SQL query. The table panel will automatically show the results of whatever columns and rows your query returns.
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Query editor with example query:
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@@ -229,7 +229,7 @@ GROUP BY time
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ORDER BY time
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```
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Currently, there is no support for a dynamic group by time based on time range & panel width.
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Currently, there is no support for a dynamic group by time based on time range and panel width.
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This is something we plan to add.
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## Templating
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@@ -25,7 +25,7 @@ Grafana ships with advanced support for OpenTSDB.
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Name | Description
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------------ | -------------
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*Name* | The data source name. This is how you refer to the data source in panels & queries.
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*Name* | The data source name. This is how you refer to the data source in panels and queries.
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*Default* | Default data source means that it will be pre-selected for new panels.
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*Url* | The HTTP protocol, ip and port of you opentsdb server (default port is usually 4242)
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*Access* | Server (default) = URL needs to be accessible from the Grafana backend/server, Browser = URL needs to be accessible from the browser.
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@@ -26,7 +26,7 @@ Grafana ships with a built-in PostgreSQL data source plugin that allows you to q
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Name | Description
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------------ | -------------
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*Name* | The data source name. This is how you refer to the data source in panels & queries.
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*Name* | The data source name. This is how you refer to the data source in panels and queries.
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*Default* | Default data source means that it will be pre-selected for new panels.
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*Host* | The IP address/hostname and optional port of your PostgreSQL instance.
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*Database* | Name of your PostgreSQL database.
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@@ -60,7 +60,7 @@ Identifier | Description
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### Database User Permissions (Important!)
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The database user you specify when you add the data source should only be granted SELECT permissions on
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the specified database & tables you want to query. Grafana does not validate that the query is safe. The query
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the specified database and tables you want to query. Grafana does not validate that the query is safe. The query
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could include any SQL statement. For example, statements like `DELETE FROM user;` and `DROP TABLE user;` would be
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executed. To protect against this we **highly** recommend you create a specific PostgreSQL user with restricted permissions.
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@@ -166,7 +166,7 @@ We plan to add many more macros. If you have suggestions for what macros you wou
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## Table queries
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If the `Format as` query option is set to `Table` then you can basically do any type of SQL query. The table panel will automatically show the results of whatever columns & rows your query returns.
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If the `Format as` query option is set to `Table` then you can basically do any type of SQL query. The table panel will automatically show the results of whatever columns and rows your query returns.
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Query editor with example query:
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@@ -27,7 +27,7 @@ Grafana includes built-in support for Prometheus.
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| Name | Description |
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| ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------- |
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| _Name_ | The data source name. This is how you refer to the data source in panels & queries. |
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| _Name_ | The data source name. This is how you refer to the data source in panels and queries. |
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| _Default_ | Default data source means that it will be pre-selected for new panels. |
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| _Url_ | The HTTP protocol, ip and port of you Prometheus server (default port is usually 9090) |
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| _Access_ | Server (default) = URL needs to be accessible from the Grafana backend/server, Browser = URL needs to be accessible from the browser. |
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@@ -29,7 +29,7 @@ Grafana ships with built-in support for Google Stackdriver. Just add it as a dat
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| Name | Description |
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| --------------------- | ----------------------------------------------------------------------------------- |
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| _Name_ | The data source name. This is how you refer to the data source in panels & queries. |
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| _Name_ | The data source name. This is how you refer to the data source in panels and queries. |
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| _Default_ | Default data source means that it will be pre-selected for new panels. |
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| _Service Account Key_ | Service Account Key File for a GCP Project. Instructions below on how to create it. |
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@@ -54,7 +54,7 @@ Click on the links above and click the `Enable` button:
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#### Create a GCP Service Account for a Project
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1. Navigate to the [APIs & Services Credentials page](https://console.cloud.google.com/apis/credentials).
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1. Navigate to the [APIs and Services Credentials page](https://console.cloud.google.com/apis/credentials).
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2. Click on the `Create credentials` dropdown/button and choose the `Service account key` option.
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{{< docs-imagebox img="/img/docs/v53/stackdriver_create_service_account_button.png" class="docs-image--no-shadow" caption="Create service account button" >}}
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@@ -17,7 +17,7 @@ The main panel in Grafana is simply named Graph. It provides a very rich set of
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1. Clicking the title for a panel exposes a menu. The `edit` option opens additional configuration
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options for the panel.
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2. Click to open color & axis selection.
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2. Click to open color and axis selection.
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3. Click to only show this series. Shift/Ctrl + click to hide series.
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## General
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@@ -146,7 +146,7 @@ Display styles control visual properties of the graph.
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- Individual: the value for the series you hover over
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- Cumulative - sum of series below plus the series you hover over
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#### Stacking & Null value
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#### Stacking and Null value
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If there are multiple series, they can be displayed as a group.
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@@ -186,7 +186,7 @@ Time regions allow you to highlight certain time regions of the graph to make it
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The time range tab allows you to override the dashboard time range and specify a panel specific time.
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Either through a relative from now time option or through a timeshift.
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Panel time overrides & timeshift are described in more detail [here]({{< relref "reference/timerange.md#panel-time-overrides-timeshift" >}}).
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Panel time overrides and timeshift are described in more detail [here]({{< relref "reference/timerange.md#panel-time-overrides-timeshift" >}}).
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### Data link
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@@ -55,7 +55,7 @@ Data and bucket options can be found in the `Axes` tab.
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Data format | Description
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------------ | -------------
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*Time series* | Grafana does the bucketing by going through all time series values. The bucket sizes & intervals will be determined using the Buckets options.
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*Time series* | Grafana does the bucketing by going through all time series values. The bucket sizes and intervals will be determined using the Buckets options.
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*Time series buckets* | Each time series already represents a Y-Axis bucket. The time series name (alias) needs to be a numeric value representing the upper or lower interval for the bucket. Grafana does no bucketing so the bucket size options are hidden.
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### Bucket bound
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@@ -66,7 +66,7 @@ option will be chosen based on panels' data source type.
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### Bucket Size
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The Bucket count & size options are used by Grafana to calculate how big each cell in the heatmap is. You can
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The Bucket count and size options are used by Grafana to calculate how big each cell in the heatmap is. You can
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define the bucket size either by count (the first input box) or by specifying a size interval. For the Y-Axis
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the size interval is just a value but for the X-bucket you can specify a time range in the *Size* input, for example,
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the time range `1h`. This will make the cells 1h wide on the X-axis.
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@@ -94,7 +94,7 @@ With Prometheus you can only control X-axis by adjusting *Min step* and *Resolut
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In the heatmap *Display* tab you define how the cells are rendered and what color they are assigned.
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### Color Mode & Spectrum
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### Color Mode and Spectrum
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{{< imgbox max-width="40%" img="/img/docs/v43/heatmap_scheme.png" caption="Color spectrum" >}}
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@@ -117,5 +117,5 @@ to do the bucketing during metric collection or store the data in Elasticsearch,
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supports doing Histogram bucketing on the raw data.
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If you remove or lower the group by time (or raise maxDataPoints) in your query to return more data points your heatmap will be
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more accurate but this can also be very CPU & Memory taxing for your browser and could cause hangs and crashes if the number of
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more accurate but this can also be very CPU and Memory taxing for your browser and could cause hangs and crashes if the number of
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data points becomes unreasonably large.
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