Documentation

Write to SQL databases

Use sql.to() to write data to SQL databases with Flux.

Databases

sql.to() supports the following SQL databases:

Drivers

sql.to() uses Go SQL drivers in the Go sql package to connect to SQL databases. The following drivers are available:

  • bigquery
  • hdb
  • mysql
  • postgres
  • snowflake
  • sqlite3
  • sqlserver, mssql

Data source names

Each SQL driver supports unique data source name (DSN) syntaxes (also known as connection strings). See the database guides for information about DSNs for each driver.

Store sensitive credentials as secrets

If using InfluxDB Cloud or InfluxDB OSS 2.x, we recommend storing DSN credentials as InfluxDB secrets. Use secrets.get() to retrieve a secret from the InfluxDB secrets API.

import "sql"
import "influxdata/influxdb/secrets"

username = secrets.get(key: "POSTGRES_USER")
password = secrets.get(key: "POSTGRES_PASS")

sql.to(
  driverName: "postgres",
  dataSourceName: "postgresql://${username}:${password}@localhost:5432",
  table: "example_table"
)

Data Structure

sql.to() ungroups all rows into a single table and writes all existing columns as the specified destination table. If the destination table doesn’t exist, sql.to() attempts to create it.

Column data types

Each sql.to() driver converts Flux basic data types to corresponding data types supported by the target database. See the database guides for information about data type conversions.

Example

Given the following following stream of tables:

data
_timetag_value
2021-01-01T00:00:00Zt1-2
2021-01-01T00:00:10Zt110
2021-01-01T00:00:20Zt17
_timetag_value
2021-01-01T00:00:00Zt219
2021-01-01T00:00:10Zt24
2021-01-01T00:00:20Zt2-3
Flux query
import "sql"

data
  |> sql.from(
    driver: "mysql",
    dataSourceName: "username:passwOrd@tcp(localhost:3306)/db",
    table: "exampleTable"
  )
SQL Query
SELECT * FROM exampleTable
SQL output
_timetag_value
2021-01-01 00:00:00t1-2
2021-01-01 00:00:10t110
2021-01-01 00:00:20t17
2021-01-01 00:00:00t219
2021-01-01 00:00:10t24
2021-01-01 00:00:20t2-3

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