sql package
The sql package provides tools for working with data in SQL databases.
Import the sql package:
import "sql"
SQL data source names
The sql packages uses Go drivers to connect to SQL database.
The data source name (DSN) (also known as connection string) is determined by
the driver used.
# Amazon Athena Driver DSN
s3://myorgqueryresults/?accessID=AKIAJLO3F...®ion=us-west-1&secretAccessKey=NnQ7MUMp9PYZsmD47c%2BSsXGOFsd%2F...
s3://myorgqueryresults/?accessID=AKIAJLO3F...&db=dbname&missingAsDefault=false&missingAsEmptyString=false®ion=us-west-1&secretAccessKey=NnQ7MUMp9PYZsmD47c%2BSsXGOFsd%2F...&WGRemoteCreation=false
# MySQL Driver DSN
username:password@tcp(localhost:3306)/dbname?param=value
# Postgres Driver DSN
postgres://pqgotest:password@localhost/pqgotest?sslmode=verify-full
# Snowflake Driver DSNs
username[:password]@accountname/dbname/schemaname?param1=value1¶mN=valueN
username[:password]@accountname/dbname?param1=value1¶mN=valueN
username[:password]@hostname:port/dbname/schemaname?account=<your_account>¶m1=value1¶mN=valueN
# SQLite Driver DSN
file:/path/to/test.db?cache=shared&mode=ro
# Microsoft SQL Server Driver DSNs
sqlserver://username:password@localhost:1234?database=examplebdb
server=localhost;user id=username;database=examplebdb;
server=localhost;user id=username;database=examplebdb;azure auth=ENV
server=localhost;user id=username;database=examplebdbr;azure tenant id=77e7d537;azure client id=58879ce8;azure client secret=0123456789
# Google BigQuery DSNs
bigquery://projectid/?param1=value¶m2=value
bigquery://projectid/location?param1=value¶m2=value
# SAP HANA driver DSN
hdb://<user>:<password>@<host>:<port>?<connection-property>=<value>&<connection-property>=<value>&...
hdb://<user>:<password>@<host>:<port>?DATABASENAME=<tenant-db-name>
hdb://?KEY=<keyname>
# Vertica driver DSN
vertica://<user>:<password>@<host>:<port>/<database>?<queryArgs>
AWS Athena connection strings
To query an Amazon Athena database, use the following query parameters in your Athena S3 connection string (DNS):
- region: (Required) AWS region.
- accessID: (Required) AWS IAM access ID.
- SecretAccessKey: (Required) AWS IAM secret key.
- db: Database name.
- WGRemoteCreation: Controls workgroup and tag creation.
- missingAsDefault: Replace missing data with default values.
- missingAsEmptyString: Replace missing data with empty strings.
Common BigQuery URL parameters
The Flux BigQuery implementation uses the Google Cloud Go SDK. Provide your authentication credentials using one of the following methods:
- The
GOOGLE_APPLICATION_CREDENTIALSenvironment variable that identifies the location of your credential JSON file. - Provide your BigQuery credentials using the
credentialsURL parameters in your BigQuery DSN.
BigQuery credential URL parameter
Provide your base-64 encoded service account, refresh token, or JSON credentials using the credentials URL parameter in your BigQuery DSN.
BigQuery credential URL parameter
bigquery://projectid/?credentials=eyJ0eXBlIjoiYXV0...
SQL Server ADO authentication
Use one of the following methods to provide SQL Server authentication credentials as ActiveX Data Objects (ADO) connection string parameters:
Retrieve authentication credentials from environment variables
azure auth=ENV
Retrieve authentication credentials from a file
azure auth=C:\secure\azure.auth
Note: InfluxDB OSS and InfluxDB Cloud user interfaces do not provide access to the underlying filesystem and do not support reading credentials from a file. To retrieve SQL Server credentials from a file, execute the query in the Flux REPL on your local machine.
Specify authentication credentials in the connection string
# Example of providing tenant ID, client ID, and client secret token
azure tenant id=77...;azure client id=58...;azure client secret=0cf123..
# Example of providing tenant ID, client ID, certificate path and certificate password
azure tenant id=77...;azure client id=58...;azure certificate path=C:\secure\...;azure certificate password=xY...
# Example of providing tenant ID, client ID, and Azure username and password
azure tenant id=77...;azure client id=58...;azure username=some@myorg;azure password=a1...
Use a managed identity in an Azure VM
azure auth=MSI
Functions
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