gabidavila

gabidavila

/**
 * Responds to any HTTP request that can provide a "message" field in the body.
 *
 * @param {!Object} req Cloud Function request context.
 * @param {!Object} res Cloud Function response context.
 */
const options = {
  host: "your ip address",
  port: 33060,
  password: "your password",

gabidavila

const mysqlx = require('@mysql/xdevapi');
const options = require('./config')

mysqlx.getSession(options)
  .then((session) => {
    const db = session.getSchema("worldcup");
    let teamsCollection = db.getCollection("teams_2018");
    return teamsCollection.find("name = :country1 OR name = :country2")
      .bind("country1", "Brazil")
      .bind("country2", "England")

gabidavila

[
  4,
  "Brazil ",
  {
    "players": [{
      "id": 70,
      "dob": "05.03.1993",
      "club": "FC Shakhtar Donetsk (UKR)",
      "name": "FRED",
      "height": 169,

gabidavila

const mysqlx = require('@mysql/xdevapi');
const options = require('./config')

mysqlx.getSession(options)
  .then((session) => {
    const db = session.getSchema("worldcup");
    const tableTeams = db.getTable("teams");

    return tableTeams;
  })

gabidavila

DESCRIBE `users`;

-- +-------------+--------------+------+-----+-------------------+-----------------------------+
-- | Field       | Type         | Null | Key | Default           | Extra                       |
-- +-------------+--------------+------+-----+-------------------+-----------------------------+
-- | id          | int(11)      | NO   | PRI | NULL              | auto_increment              |
-- | id_str      | varchar(255) | NO   | UNI | NULL              |                             |
-- | screen_name | varchar(255) | NO   | MUL | NULL              |                             |
-- | response    | json         | NO   |     | NULL              |                             |
-- | created_at  | datetime     | NO   |     | CURRENT_TIMESTAMP |                             |

gabidavila

Machine Learning APIs by example: an API call to rule them all

Think your business could make use of Google's machine learning expertise when it comes to powering and improving your business applications, but do you get stuck on building and training your own custom model? While a few cloud providers offer pre-trained models, Google Cloud Platform (GCP) offers five APIs: Google Cloud Vision API, Cloud Speech API, Cloud Natural Language API, Cloud Translation API and Cloud Video API. In this session you will see how with a single API call you can enrich your application through code and live demo.

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-- Virtual Column
ALTER TABLE `laps`
ADD COLUMN speed DOUBLE
  GENERATED ALWAYS
  AS (`distance` / `time`);

-- Stored Column
ALTER TABLE `laps`
ADD COLUMN speed DOUBLE
  GENERATED ALWAYS

gabidavila

CREATE TABLE `laps` (
  `id`       INT(10)      NOT NULL AUTO_INCREMENT,
  `athlete`  VARCHAR(255) NOT NULL,
  `distance` INT(10)      NOT NULL,
  `time`     INT(10)      NOT NULL,
  PRIMARY KEY (`id`)
) ENGINE = InnoDB;

gabidavila

class CreateUsers < ActiveRecord::Migration[5.1]
  def change
    create_table :users do |t|
      t.string :name

      t.timestamps
    end
  end
end