Documentation

Query CockroachDB

To query CockroachDB with Flux:

  1. Import the sql package.

  2. Use sql.from() and provide the following parameters:

    • driverName: postgres
    • dataSourceName: See data source name
    • query: PSQL query to execute
import "sql"

sql.from(
    driverName: "postgres",
    dataSourceName:
        "postgresql://username:password@localhost:26257/cluster_name.defaultdb?sslmode=verify-full&sslrootcert=certs_dir/cc-ca.crt",
    query: "SELECT * FROM example_table",
)
  • Copy
  • Fill window

CockroachDB data source name

The postgres driver uses the following DSN syntax (also known as a connection string) to connect to CockroachDB :

postgres://username:password@localhost:26257/cluster_name.defaultdb?sslmode=verify-full&sslrootcert=certs_dir/cc-ca.crt
  • Copy
  • Fill window

The postgres driver use the Go pq implementation to interact with CockroachDB.

CockroachDB to Flux data type conversion

sql.from() converts PostgreSQL and CockroachDB data types to Flux data types.

CockroachDB data typeFlux data type
INT, BIGINT, SMALLINT, TINYINT, INT2, INT4, INT8, SERIAL2, SERIAL4, SERIAL8int
FLOAT4, FLOAT8float
DATE, TIME, TIMESTAMPtime
BOOLbool
TEXTstring

All other CockroachDB data types are converted to strings.


Was this page helpful?

Thank you for your feedback!


The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Read more

InfluxDB 3 Core and Enterprise are now in Beta

InfluxDB 3 Core and Enterprise are now available for beta testing, available under MIT or Apache 2 license.

InfluxDB 3 Core is a high-speed, recent-data engine that collects and processes data in real-time, while persisting it to local disk or object storage. InfluxDB 3 Enterprise is a commercial product that builds on Core’s foundation, adding high availability, read replicas, enhanced security, and data compaction for faster queries. A free tier of InfluxDB 3 Enterprise will also be available for at-home, non-commercial use for hobbyists to get the full historical time series database set of capabilities.

For more information, check out: