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pyodbc parameters passed via a connection string to sqlalchemy should be
passed as query string parameters and must be lower case.
sqlalchemy includes the following note in their source code:
Note that in order for the dialect to recognize these keywords
(including the ``driver`` keyword above) they must be all lowercase.
Multiple additional keyword arguments must be separated by an
ampersand (``&``), not a semicolon::
13d01a03c5/lib/sqlalchemy/dialects/mssql/pyodbc.py (L56-L59)
187 lines
5.2 KiB
Markdown
187 lines
5.2 KiB
Markdown
---
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title: SQL
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description: Instructions how to integrate SQL sensors into Home Assistant.
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ha_category:
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- Utility
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- Sensor
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ha_release: 0.63
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ha_iot_class: Local Polling
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ha_codeowners:
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- '@dgomes'
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ha_domain: sql
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ha_platforms:
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- sensor
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---
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The `sql` sensor platform enables you to use values from an [SQL](https://en.wikipedia.org/wiki/SQL) database supported by the [sqlalchemy](https://www.sqlalchemy.org) library, to populate a sensor state (and attributes).
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This can be used to present statistics about Home Assistant sensors if used with the `recorder` integration database. It can also be used with an external data source.
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## Configuration
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To configure this sensor, you need to define the sensor connection variables and a list of queries to your `configuration.yaml` file. A sensor will be created for each query:
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To enable it, add the following lines to your `configuration.yaml` file:
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{% raw %}
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```yaml
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# Example configuration.yaml
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sensor:
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- platform: sql
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queries:
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- name: Sun state
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query: "SELECT * FROM states WHERE entity_id = 'sun.sun' ORDER BY state_id DESC LIMIT 1;"
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column: "state"
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```
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{% endraw %}
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{% configuration %}
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db_url:
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description: The URL which points to your database. See [supported engines](/integrations/recorder/#custom-database-engines).
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required: false
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default: "Defaults to the default recorder `db_url` (not the current `db_url` of recorder)."
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type: string
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queries:
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description: List of your queries.
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required: true
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type: map
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keys:
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name:
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description: The name of the sensor.
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required: true
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type: string
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query:
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description: An SQL QUERY string, should return 1 result at most.
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required: true
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type: string
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column:
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description: The field name to select.
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required: true
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type: string
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unit_of_measurement:
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description: Defines the units of measurement of the sensor, if any.
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required: false
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type: string
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value_template:
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description: Defines a template to extract a value from the payload.
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required: false
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type: template
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{% endconfiguration %}
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There is no explicit configuration required for attributes. The integration will set all additional columns returned by the query as attributes.
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Note that in all cases only the first row returned will be used.
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## Examples
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In this section, you find some real-life examples of how to use this sensor.
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### Current state of an entity
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This example shows the previously *recorded* state of the sensor `sensor.temperature_in`.
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```yaml
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sensor:
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- platform: random
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name: Temperature in
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unit_of_measurement: "°C"
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```
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The query will look like this:
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```sql
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SELECT * FROM states WHERE entity_id = 'sensor.temperature_in' ORDER BY state_id DESC LIMIT 1;
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```
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```yaml
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# Example configuration.yaml
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sensor:
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- platform: sql
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queries:
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- name: Temperature in
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query: "SELECT * FROM states WHERE entity_id = 'sensor.temperature_in' ORDER BY state_id DESC LIMIT 1;"
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column: "state"
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```
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Note that the SQL sensor state corresponds to the last row of the SQL result set.
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### Previous state of an entity
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This example only works with *binary_sensors*:
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```sql
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SELECT * FROM states WHERE entity_id = 'binary_sensor.xyz789' GROUP BY state ORDER BY last_changed DESC LIMIT 1;
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```
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### Database size
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#### Postgres
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{% raw %}
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```yaml
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sensor:
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- platform: sql
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db_url: postgresql://user:password@host/dbname
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queries:
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- name: DB size
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query: "SELECT (pg_database_size('dsmrreader')/1024/1024) as db_size;"
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column: "db_size"
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unit_of_measurement: MB
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```
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{% endraw %}
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#### MariaDB/MySQL
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Change `table_schema="hass"` to the name that you use as the database name, to ensure that your sensor will work properly.
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{% raw %}
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```yaml
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sensor:
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- platform: sql
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db_url: mysql://user:password@localhost/hass
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queries:
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- name: DB size
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query: 'SELECT table_schema "database", Round(Sum(data_length + index_length) / 1024, 1) "value" FROM information_schema.tables WHERE table_schema="hass" GROUP BY table_schema;'
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column: "value"
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unit_of_measurement: kB
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```
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{% endraw %}
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#### SQLite
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If you are using the `recorder` integration then you don't need to specify the location of the database. For all other cases, add `db_url: sqlite:////path/to/database.db`.
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{% raw %}
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```yaml
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sensor:
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- platform: sql
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queries:
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- name: DB Size
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query: 'SELECT ROUND(page_count * page_size / 1024 / 1024, 1) as size FROM pragma_page_count(), pragma_page_size();'
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column: "size"
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unit_of_measurement: "MiB"
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```
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{% endraw %}
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#### MS SQL
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Use the same `db_url` as for the `recorder` integration. Change `DB_NAME` to the name that you use as the database name, to ensure that your sensor will work properly. Be sure `username` has enough rights to access the sys tables.
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{% raw %}
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```yaml
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sensor:
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- platform: sql
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db_url: "mssql+pyodbc://username:password@SERVER_IP:1433/DB_NAME?charset=utf8&driver=FreeTDS"
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queries:
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- name: DB size
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query: "SELECT TOP 1 SUM(m.size) * 8 / 1024 as size FROM sys.master_files m INNER JOIN sys.databases d ON d.database_id=m.database_id WHERE d.name='DB_NAME';"
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column: "size"
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unit_of_measurement: MiB
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```
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{% endraw %}
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