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@enterprise_search/indexing_mysql
Advanced tools
mysql-index:
type: mysql
scan:
sql: `SELECT * FROM person where last_updated > {sinceDate}` # Note the templating. If ignored always same
connection:
host: localhost
port: 3306 # defaults to this anyway
user: someName
password: env variable name of password
database: test
For testing mysql
CREATE DATABASE test;
USE test;
CREATE TABLE person (
id INT AUTO_INCREMENT PRIMARY KEY,
first_name VARCHAR(50) NOT NULL,
last_name VARCHAR(50) NOT NULL,
email VARCHAR(100) NOT NULL,
date_of_birth DATE,
last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
);
INSERT INTO person (first_name, last_name, email, date_of_birth)
VALUES ('John', 'Doe', 'john.doe@example.com', '1980-01-01');
INSERT INTO person (first_name, last_name, email, date_of_birth)
VALUES ('Jane', 'Smith', 'jane.smith@example.com', '1990-02-15');
INSERT INTO person (first_name, last_name, email, date_of_birth)
VALUES ('Michael', 'Johnson', 'michael.johnson@example.com', '1985-05-30');
INSERT INTO person (first_name, last_name, email, date_of_birth)
VALUES ('Emily', 'Davis', 'emily.davis@example.com', '1992-07-22');
INSERT INTO person (first_name, last_name, email, date_of_birth)
VALUES ('William', 'Brown', 'william.brown@example.com', '1975-12-05');
INSERT INTO person (first_name, last_name, email, date_of_birth)
VALUES ('Jessica', 'Williams', 'jessica.williams@example.com', '1988-11-10');
INSERT INTO person (first_name, last_name, email, date_of_birth)
VALUES ('David', 'Jones', 'david.jones@example.com', '1995-03-14');
INSERT INTO person (first_name, last_name, email, date_of_birth)
VALUES ('Sophia', 'Garcia', 'sophia.garcia@example.com', '1993-09-08');
INSERT INTO person (first_name, last_name, email, date_of_birth)
VALUES ('James', 'Martinez', 'james.martinez@example.com', '1982-06-25');
INSERT INTO person (first_name, last_name, email, date_of_birth)
VALUES ('Olivia', 'Hernandez', 'olivia.hernandez@example.com', '1991-01-20');
FAQs
indexing data in mysql
The npm package @enterprise_search/indexing_mysql receives a total of 429 weekly downloads. As such, @enterprise_search/indexing_mysql popularity was classified as not popular.
We found that @enterprise_search/indexing_mysql demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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