chore: replace elastic with postgresql (#63)

* replace ES with postgresql

* update vagrant setup documentation

* update Kubernetes setup documentation

* fix pr typos

.gitignore

@@ -1,6 +1,5 @@
 .DS_Store
 node_modules
-# dist
 
 # local env files
 .env.local
@@ -27,7 +26,7 @@ yarn-error.log*
 !/vagrant/frontend/
 !/vagrant/backend/
 !/vagrant/backend-v1/
-!/vagrant/elastic/
+!/vagrant/postgresql/
 !/vagrant/control-plane/
 !/vagrant/redis/
 !/vagrant/metrics/
@@ -36,3 +35,5 @@ yarn-error.log*
 !/vagrant/README.md
 !Vagrantfile
 
+# postgres data
+pgdata/

DEVELOPER.md

@@ -6,7 +6,7 @@
 
 First and foremost, make sure to run all commands to get each endpoint setup. Please refer to the [README](README.md) to see those commands.
 
-#### Elasticsearch - Products endpoint
+#### PostgreSQL - Products endpoint
 
 The products endpoint is located at: `http://localhost:3001/items`. This will not return any product data unless `?q=` is appended to it (see below).
 
@@ -44,9 +44,9 @@ curl http://localhost:3001/items/6/reviews/
 - `Modal.vue` - A generic component for displaying modals
 - `Product.vue` - Displays all of the product details. It's the first component seen when loading the app, and has the most importance in `SearchResults.vue`
 - `Reviews.vue` - This component displays a product's reviews. It's used within a modal in `Product.vue`
-- `Search.vue` - The main search bar referenced in `GlobalHeader.vue`. It triggers the Elasticsearch endpoint queries as the user types, but will ignore the BACKSPACE and DEL keys as to prevent needless repeat queries. Using the search will emit an action to `App.vue`, which will trigger the Elasticsearch queries based on what the user searches for
-- `SearchResults.vue` - This is what is immediately displayed on app load. It will consume the Elasticsearch endpoint and display its data. It is housed within `/src/App.vue`, which is where the Elasticsearch products data is called
+- `Search.vue` - The main search bar referenced in `GlobalHeader.vue`. It triggers the PostgreSQL endpoint queries as the user types, but will ignore the BACKSPACE and DEL keys as to prevent needless repeat queries. Using the search will emit an action to `App.vue`, which will trigger the PostgreSQL queries based on what the user searches for
+- `SearchResults.vue` - This is what is immediately displayed on app load. It will consume the PostgreSQL endpoint and display its data. It is housed within `/src/App.vue`, which is where the PostgreSQL products data is called
 
 #### App.vue
 
-This is where all of the magic happens. The Elasticsearch endpoint is called on page load and displays all of the products. As the user searches, the search method is called and queries the Elasticsearch endpoint for the query the user enters.
+This is where all of the magic happens. The PostgreSQL endpoint is called on page load and displays all of the products. As the user searches, the search method is called and queries the PostgreSQL endpoint for the query the user enters.

README.md

@@ -15,26 +15,26 @@ This repository houses the demo application used to illustrate Kuma's extensive
   - [Introduction](#introduction)
     - [Frontend](#frontend)
     - [Backend](#backend)
-    - [Elasticsearch](#elasticsearch)
+    - [PostgreSQL](#postgresql)
     - [Redis](#redis)
   - [Deployment](#deployment)
 
 ## Introduction
 [![][diagram]][diagram]
 
-The Kuma Demo Application is a clothing marketplace where you can browse listed items along with the reviews left by users. It consists of four components: [Vue frontend UI](#frontend), [Node backend API](#backend), [Elasticsearch](#Elasticsearch), and [Redis](#Redis).
+The Kuma Demo Application is a clothing marketplace where you can browse listed items along with the reviews left by users. It consists of four components: [Vue frontend UI](#frontend), [Node backend API](#backend), [PostgreSQL](#PostgreSQL), and [Redis](#Redis).
 
 ### Frontend
 
 The frontend UI is built using [VuePress](https://vuepress.vuejs.org/) and the source code can be found in the [app directory](app/README.md). It gives the users a webpage where they can browse items and reviews. 
 
 ### Backend
 
-The backend API is built using [Node.js](https://nodejs.org/en/) and the source code can be found in the [api directory](api/README.md). It contains endpoints that enables the user to query the Elasticsearch and Redis databases.
+The backend API is built using [Node.js](https://nodejs.org/en/) and the source code can be found in the [api directory](api/README.md). It contains endpoints that enables the user to query the PostgreSQL and Redis databases.
 
-### Elasticsearch
+### PostgreSQL
 
-The Elasticsearch database is used to store all the items. THe list of items can be found in this [JSON file](api/db/items.json). Here is a sample of how each object in our list of items look:
+The PostgreSQL database is used to store all the items. THe list of items can be found in this [JSON file](api/db/items.json). Here is a sample of how each object in our list of items look:
 
 ```json
 ...
@@ -85,7 +85,7 @@ The Elasticsearch database is used to store all the items. THe list of items can
 ...
 ```
 
-All this information will be saved in Elasticsearch **EXCEPT** the reviews. Reviews will be separated out and stored in Redis.
+All this information will be saved in PostgreSQL **EXCEPT** the reviews. Reviews will be separated out and stored in Redis.
 
 ### Redis
 

api/Dockerfile

@@ -1,5 +1,5 @@
-# docker build . -t kvn0218/kuma-demo-be:v1
-# docker push kvn0218/kuma-demo-be:v1
+# docker build . -t kvn0218/kuma-demo-be:latest
+# docker push kvn0218/kuma-demo-be:latest
 
 FROM node:lts-alpine
 

api/README.md

@@ -1,6 +1,6 @@
 # API
 
-The backend API is built using [Node.js](https://nodejs.org/en/). It contains endpoints that enables the user to query the Elasticsearch and Redis databases.
+The backend API is built using [Node.js](https://nodejs.org/en/). It contains endpoints that enables the user to query the PostgreSQL and Redis databases.
 
 ## Local Installation
 
@@ -9,9 +9,9 @@ The backend API is built using [Node.js](https://nodejs.org/en/). It contains en
    npm install
    ```
 
-2. Run ElasticSearch on Docker:
+2. Run PostgreSQL on Docker:
    ```sh
-   docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:7.3.2
+   docker run --rm -p 5432:5432 --name kuma-postgres -e POSTGRES_USER=kumademo -e POSTGRES_PASSWORD=kumademo -e POSTGRES_DB=kumademo kvn0218/postgres:latest
    ```
 
 3. Run Redis on Docker:

api/app/postgresql.js

@@ -0,0 +1,58 @@
+const items = require("../db/items.json");
+const { Pool } = require("pg");
+
+const pool = new Pool({
+  user: process.env.POSTGRES_USER || "kumademo",
+  host: process.env.POSTGRES_HOST || "localhost",
+  database: process.env.POSTGRES_DB || "kumademo",
+  password: process.env.POSTGRES_PASSWORD || "kumademo",
+  port: process.env.POSTGRES_PORT_NUM || 5432, //POSTGRES_PORT environmental variable is taken on K8S
+});
+
+pool.on("error", (err, clients) => {
+  console.error("Unexpected error on idle client", err);
+  process.exit(-1);
+});
+
+const search = async (itemName) => {
+  return await pool.query(
+    `SELECT data FROM marketItems WHERE name ILIKE '%${itemName}%'`
+  );
+};
+
+const importData = () => {
+  (async () => {
+    const client = await pool.connect();
+    try {
+      await client.query("BEGIN");
+      await client.query("DROP TABLE IF EXISTS marketItems");
+      await client.query(
+        `CREATE TABLE marketItems(
+          index INTEGER PRIMARY KEY,
+          name TEXT,
+          data JSONB
+        )`
+      );
+      items.forEach((item) => {
+        client.query(
+          `INSERT INTO marketItems VALUES(${item.index},'${
+            item.name
+          }','${JSON.stringify(item)}')`
+        );
+      });
+      await client.query("COMMIT");
+    } catch (e) {
+      console.log("Error");
+      await client.query("ROLLBACK");
+      throw e;
+    } finally {
+      console.log("Release");
+      client.release();
+    }
+  })().catch((e) => console.error(e.stack));
+};
+
+module.exports = Object.assign({
+  search,
+  importData,
+});

api/db/postgresql/Dockerfile

@@ -0,0 +1,14 @@
+# docker build . -t kvn0218/postgres:latest
+# docker push kvn0218/postgres:latest
+
+FROM postgres:alpine
+
+RUN mkdir -p /tmp/psql_data/
+
+RUN echo "host all  all    0.0.0.0/0  md5" >> /var/lib/postgresql/data/pg_hba.conf
+
+# Expose the PostgreSQL port
+EXPOSE 5432
+
+COPY ./database.sql /tmp/psql_data/
+COPY ./init_docker_postgres.sh /docker-entrypoint-initdb.d/