.
Using Levenshtein distance prediction algorithm for the search bar. Vaadin as the frontend/backend and H2 for database (can also use MySQL/MariaDB see Parameters section )
You'll need Docker installed
docker run -e DEBUG=true -p 8080:8080/tcp agusalex/notarius
You'll need Docker and Maven installed
mvn clean build
docker build -t "notarius" .
docker run -e DEBUG=true -p 8080:8080/tcp notarius
| Parameter | Value | Example |
|---|---|---|
| DEBUG | If this is SET it uses internal H2 DB | true |
| URL | The URL of the external DB (if DEBUG = FALSE) | 127.0.0.1:3306 |
| URL | The URL of the external DB (if DEBUG = FALSE) | 127.0.0.1:3306 |
| USER | The USER of the external DB (if DEBUG = FALSE) | root |
| PASS | The PASSWORD of the external DB (if DEBUG = FALSE) | root |
call CSVWRITE ( 'C:/MyFolder/11-7-17.txt', 'SELECT * FROM OPERACION' )
SELECT * FROM PERSONAS insert into PERSONAS select * from
(SELECT * FROM CSVREAD('C:https://ESD/personas.txt'));
CREATE TABLE OPERACION2 AS SELECT * FROM CSVREAD('C:https://ESD/test.txt')
insert into OPERACION
select * from OPERACION2;