README.md

flink-ververica-catalog-proxy

Proxy to the internal Ververica Catalog. Proxy implementation calls API exposed by Ververica to get tables, views, functions definitions.

Usage

Import jar to your jupyter notebook env

CREATE CATALOG vvp
WITH (
  'type' = 'ververica',
  'gid.vvp.proxy.url' = 'http://localhost:8080'
);

USE CATALOG vvp;

SHOW TABLES;

Using https connection and vvp token:

CREATE CATALOG vvp
WITH (
  'type' = 'ververica',
  'gid.vvp.proxy.url' = 'https://localhost:8080',
  'gid.vvp.proxy.headers' = 'Authorization,Bearer <token>',
  'gid.vvp.proxy.security.cert.server' = '/home/user/vvp.crt'
);

USE CATALOG vvp;

SHOW TABLES;

TODO

1. Functions