2.3 KiB
| title | description | aliases | menu | weight | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| sql.to() function | The `sql.to()` function writes data to a SQL database. |
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The sql.to() function writes data to a SQL database.
Function type: Output
import "sql"
sql.to(
driverName: "mysql",
dataSourceName: "username:password@tcp(localhost:3306)/dbname?param=value",
table: "ExampleTable",
batchSize: 10000
)
Parameters
driverName
The driver used to connect to the SQL database.
Data type: String
The following drivers are available:
- mysql
- postgres
- sqlite3 – Does not work with InfluxDB OSS or InfluxDB Cloud. More information below.
dataSourceName
The data source name (DSN) or connection string used to connect to the SQL database. The string's form and structure depend on the driver used.
Data type: String
Driver dataSourceName examples
# Postgres Driver DSN
postgres://pqgotest:password@localhost/pqgotest?sslmode=verify-full
# MySQL Driver DSN
username:password@tcp(localhost:3306)/dbname?param=value
# SQLite Driver DSN
file:/path/to/test.db?cache=shared&mode=rw
table
The destination table.
Data type: String
batchSize
The number of parameters or columns that can be queued within each call to Exec.
Defaults to 10000.
Data type: Integer
{{% note %}}
If writing to a SQLite database, set batchSize to 999 or less.
{{% /note %}}
Examples
Write data to a MySQL database
import "sql"
sql.to(
driverName: "mysql",
dataSourceName: "user:password@tcp(localhost:3306)/db",
table: "ExampleTable"
)
Write data to a Postgres database
import "sql"
sql.to(
driverName: "postgres",
dataSourceName: "postgresql://user:password@localhost",
table: "ExampleTable"
)
Write data to an SQLite database
{{% warn %}} InfluxDB OSS and InfluxDB Cloud do not have direct access to the local filesystem and cannot write to SQLite data sources. Use the Flux REPL to write to an SQLite data source on your local filesystem. {{% /warn %}}
import "sql"
sql.to(
driverName: "sqlite3",
dataSourceName: "file:/path/to/test.db?cache=shared&mode=rw",
table: "ExampleTable"
)