Snowflake Grafana Data Source

With the Snowflake plugin, you can visualize your Snowflake data in Grafana and build awesome chart.

Get started with the plugin

Set up the Snowflake Data Source

Install the Data Source

Install the plugin into the grafana plugin folder:

grafana-cli --pluginUrl https://github.com/michelin/snowflake-grafana-datasource/releases/latest/download/snowflake-grafana-datasource.zip plugins install michelin-snowflake-datasource

cd /var/lib/grafana/plugins/
wget https://github.com/michelin/snowflake-grafana-datasource/releases/latest/download/snowflake-grafana-datasource.zip
unzip snowflake-grafana-datasource.zip

Edit the grafana configuration file to allow unsigned plugins:

Linux：/etc/grafana/grafana.ini
macOS：/usr/local/etc/grafana/grafana.ini

[plugins]
allow_loading_unsigned_plugins = michelin-snowflake-datasource

Or with docker

docker run -d \
-p 3000:3000 \
-v "$(pwd)"/grafana-plugins:/var/lib/grafana/plugins \
--name=grafana \
-e "GF_PLUGINS_ALLOW_LOADING_UNSIGNED_PLUGINS=michelin-snowflake-datasource" \
grafana/grafana

Restart grafana

Configure the Datasource

Open the side menu by clicking the Grafana icon in the top header.
In the side menu under the Configuration icon you should find a link named Data Sources.
Click the + Add data source button in the top header.
Select Snowflake.

Add your authentication and configuration details.

Available configuration fields are as follows:

Name	Description
Account Name	Specifies the full name of your account (provided by Snowflake)
Username	Specifies the login name of the user for the connection.
Password	Specifies the password for the specified user.
Private key	Specifies the the private key. Must be encoded in base 64 URL encoded pkcs8. Command : `egrep -v '^(-----BEGIN PRIVATE KEY\|-----END PRIVATE KEY)' rsa_key.p8 \| tr -d '\n' \| sed 's/+/-/g; s/\//_/g' > rsa_key_urlbase64.p8`
Role (Optional)	Specifies the default access control role to use in the Snowflake session initiated by Grafana.
Warehouse (Optional)	Specifies the virtual warehouse to use once connected.
Database (Optional)	Specifies the default database to use once connected.
Schema (Optional)	Specifies the default schema to use for the specified database once connected.
Extra Options (Optional)	Specifies a series of one or more parameters, in the form of `<param>=<value>`, with each parameter separated by the ampersand character (&), and no spaces anywhere in the connection string.

Supported Macros

Macros can be used within a query to simplify syntax and allow for dynamic parts.

Macro example	Description
`$__time(dateColumn)`	Will be replaced by an expression to convert to a UNIX timestamp and rename the column to `time`. For example, TRY_TO_TIMESTAMP(dateColumn) as time
`$__timeEpoch(dateColumn)`	Will be replaced by an expression to convert to a UNIX timestamp and rename the column to `time`.
`$__timeFilter(dateColumn)`	Will be replaced by a time range filter using the specified column name. For example, dateColumn BETWEEN 1494410783 AND 1494410983
`$__timeFilter(dateColumn, timezone)`	Will be replaced by a time range filter using the specified column name. For example, CONVERT_TIMEZONE('UTC', 'America/New_York', time) >= '2022-09-24T12:13:14Z' AND CONVERT_TIMEZONE('UTC', 'America/New_York', time) <= '2022-09-25T12:13:14Z
`$__timeFrom()`	Will be replaced by the start of the currently active time selection. For example, 1494410783
`$__timeTo()`	Will be replaced by the end of the currently active time selection. For example, 1494410983
`$__timeGroup(dateColumn,'5m')`	Will be replaced by an expression usable in GROUP BY clause. For example, floor(extract(epoch from dateColumn)/120)120*
`$__timeGroup(dateColumn,'5m', 0)`	Same as above but with a fill parameter so missing points in that series will be added by grafana and 0 will be used as value.
`$__timeGroup(dateColumn,'5m', NULL)`	Same as above but NULL will be used as value for missing points.
`$__timeGroup(dateColumn,'5m', previous)`	Same as above but the previous value in that series will be used as fill value if no value has been seen yet NULL will be used (only available in Grafana 5.3+).
`$__timeGroupAlias(dateColumn,'5m')`	Will be replaced identical to $__timeGroup but with an added column alias `time` (only available in Grafana 5.3+).
`$__unixEpochFilter(dateColumn)`	Will be replaced by a time range filter using the specified column name with times represented as Unix timestamp. For example, dateColumn > 1494410783 AND dateColumn < 1494497183
`$__unixEpochNanoFilter(dateColumn)`	Will be replaced by a time range filter using the specified column name with times represented as nanosecond timestamp. For example, dateColumn > 1494410783152415214 AND dateColumn < 1494497183142514872
`$__unixEpochNanoFrom()`	Will be replaced by the start of the currently active time selection as nanosecond timestamp. For example, 1494410783152415214
`$__unixEpochNanoTo()`	Will be replaced by the end of the currently active time selection as nanosecond timestamp. For example, 1494497183142514872
`$__unixEpochGroup(dateColumn,'5m', [fillmode])`	Same as $__timeGroup but for times stored as Unix timestamp (only available in Grafana 5.3+).
`$__unixEpochGroupAlias(dateColumn,'5m', [fillmode])`	Same as above but also adds a column alias (only available in Grafana 5.3+).

Write Queries

Create a panel in a dashboard and select a Snowflake Data Source to start using the query editor.

Select a query type 'Time Series' or 'Table'.

For Time series query:

Date / time column can appear anywhere in the query as long as it is included (you must define the time formatted columns name)
A numerical column must be included.

Layout of a query

Simple query

SELECT
  <time_column> as time,
  <numerical_column>
FROM
  <table>
WHERE
  $__timeFilter(<time_column>) 
  AND $<variable> = 'xxxxx' -- custom grafana variables start with dollar sign

SQL Query Group By Interval

SELECT
  $__timeGroup(<time_column>, $__interval), -- group time by interval
  <numerical_column>
FROM
  <table>
WHERE
  $__timeFilter(<time_column>)
  AND $<variable> = 'xxxxx'
GROUP BY 
  <time_column>

Create an annotation

Annotations allow you to overlay events on a graph. To create an annotation, in the dashboard settings click "Annotations", and "New".

Development

The snowflake datasource is a data source backend plugin composed of both frontend and backend components.

Frontend

Install dependencies
```
yarn install
```
Build plugin in development mode or run in watch mode
```
yarn dev
```
or
```
yarn watch
```
Build plugin in production mode
```
yarn build
```

Backend

Build backend plugin binaries for Linux, Windows and Darwin:
```
mage -v
```
List all available Mage targets for additional commands:
```
mage -l
```

License

Snowflake grafana plugin has been released under Apache License 2.0. Please, refer to the LICENSE.txt file for further information.

materializeinc / snowflake-grafana-datasource Goto Github PK