# Use secrets in Databricks

Below scripts base on python notebook

```
dbutils.secrets.help()
```

>  Provides utilities for leveraging secrets within notebooks. Databricks documentation for more info.
>
> **get(scope: String, key: String): String** -> Gets the string representation of a secret value with scope and key\
> **getBytes(scope: String, key: String): byte\[]** -> Gets the bytes representation of a secret value with scope and key\
> **list(scope: String): Seq** -> Lists secret metadata for secrets within a scope\
> **listScopes: Seq** -> Lists secret scopes

```
dbutils.secrets.listScopes()
```

> Out\[2]: \[SecretScope(name='ADBDataLakeKeyVault'), SecretScope(name='DataLakeKeyVault')]

```
dbutils.secrets.list(scope="ADBDataLakeKeyVault")
```

> Out\[7]: \[SecretMetadata(key='ADSL-AccountKey'),
>
> SecretMetadata(key='ADSL-AccountName'),
>
> SecretMetadata(key='ADSL-ContainerName-DWData'), 
>
> SecretMetadata(key='ADSL-ContainerName-ODSData'), 
>
> SecretMetadata(key='ADSL-ContainerName-RawData')]

```
dbutils.secrets.list(scope="DataLakeKeyVault")
```

> Out\[8]: \[SecretMetadata(key='ADSL-AccountKey'), 
>
> SecretMetadata(key='ADSL-AccountName'), 
>
> SecretMetadata(key='ADSL-ContainerName-DWData'), 
>
> SecretMetadata(key='ADSL-ContainerName-ODSData'), 
>
> SecretMetadata(key='ADSL-ContainerName-RawData')]

```
dbutils.secrets.get(scope="ADBDataLakeKeyVault", key="ADSL-AccountKey")
```

> Out\[11]: '\[REDACTED]'

```
spark.conf.set(
  "fs.azure.account.key." + dbutils.secrets.get(scope="DataLakeKeyVault",key="ADSL-AccountName") + ".dfs.core.windows.net",
  dbutils.secrets.get(scope="DataLakeKeyVault",key="ADSL-AccountKey"))
```

```
filePath = "abfss://" + dbutils.secrets.get(scope="DataLakeKeyVault",key="ADSL-ContainerName-RawData") + "@" + dbutils.secrets.get(scope="DataLakeKeyVault",key="ADSL-AccountName") + ".dfs.core.windows.net/"
```

```
dbutils.fs.ls(filePath)
```

> Out\[14]: \[FileInfo(path='abfss\://\[REDACTED]@\[REDACTED].dfs.core.windows.net/Customer.csv', name='Customer.csv', size=196514)]

```
dfCustomer = spark.read.format("csv") \
              .options(header='true', inferSchema='true') \
              .load(filePath + "Customer.csv")
```

```
dfCustomer.createOrReplaceTempView("customer")
```

```
%sql
select * from customer
```

## Reference

[Secrets CLI](https://docs.microsoft.com/en-us/azure/databricks/dev-tools/cli/secrets-cli)


---

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```
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