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get http://localhost:3000/api/product/reviews?productId=10


response:

[
    [
        {
            "ratings": {
                "quality": 1,

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NEARBY LISTINGS

Introduction

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Restaurant Recommendations

We want to demonstrate how easy it is to model a domain as a graph and answer questions in almost natural language.

Graph Based Search and Discovery is prominent a use-case for graph databases like Neo4j.

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Mac Book Pro 
MacBook Pro (Retina, 13-inch, Mid 2014)
Processor 2.6 GHz Intel Core i5
8 GB 1600 MHz DDR3

POSTGRES
testdb=# EXPLAIN ANALYZE SELECT * FROM testschema.listing;
                                                      QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------
 Seq Scan on listing  (cost=0.00..214433.65 rows=10001565 width=59) (actual time=1.003..2149.797 rows=9999996 loops=1)

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config:
  target: 'http://localhost:3001'
  phases:
  - duration: 60
    arrivalRate: 5
  - duration: 120
    arrivalRate: 5
    rampTo: 50
  - duration: 600
    arrivalRate: 50

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config:
  target: 'http://localhost:3000'
  phases:
  - duration: 60
    arrivalRate: 5
  - duration: 120
    arrivalRate: 5
    rampTo: 50
  - duration: 600
    arrivalRate: 50

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<script crossorigin src="https://unpkg.com/react@16/umd/react.development.js"></script>
<script crossorigin src="https://unpkg.com/react-dom@16/umd/react-dom.development.js"></script>
<meta name="viewport" content="width=device-width, initial-scale=1.0">

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const path = require('path');

const SRC_DIR = path.join(__dirname, '/client/src');
const DIST_DIR = path.join(__dirname, '/client/dist');
module.exports = {
  mode: 'none',
  entry: `${SRC_DIR}/index.jsx`,
  output: {
    filename: 'bundle.js',
    path: DIST_DIR,