aws-aurora

Connecting to Aurora MySQL Serverless with Node

由 爷，独闯天下 提交于 2021-02-10 15:54:00
问题 I'm trying to connect to my Aurora Serverless MySQL DB cluster using the mysql module, but my connection always times out. const mysql = require('mysql'); //create connection const db = mysql.createConnection({ host : 'database endpoint', user : 'root', password : 'pass', database : 'testdb' }); //connect db.connect((err) => { if(err){ throw err; console.log('connection failed'); } console.log('mysql connected...'); }) db.end(); My cluster doesn't have a public IP address so I'm trying to use

Connecting to Aurora MySQL Serverless with Node

由 假装没事ソ 提交于 2021-02-10 15:53:19
问题 I'm trying to connect to my Aurora Serverless MySQL DB cluster using the mysql module, but my connection always times out. const mysql = require('mysql'); //create connection const db = mysql.createConnection({ host : 'database endpoint', user : 'root', password : 'pass', database : 'testdb' }); //connect db.connect((err) => { if(err){ throw err; console.log('connection failed'); } console.log('mysql connected...'); }) db.end(); My cluster doesn't have a public IP address so I'm trying to use

How to improve query time from AWS Aurora (RDS) when using Python 3 executed on AWS EC2 Amazon Linux

由 只谈情不闲聊 提交于 2019-12-25 01:25:56
问题 I'm using Python 3 with pymysql package to query raw data from AWS Aurora while executing from an EC2 with Amazon Linux. And I'd like to improve the performance significantly. So far, I managed to get the job done but it takes 150 seconds to get the results of 2.3 million rows back, using the following code: import pandas as pd import pymysql conn = pymysql.connect(host, user=user,port=port, passwd=password, db=dbname) myQuery = ''' SELECT * FROM fEvents f Left Join fParams fp on f.id = fp.id

ImportError: No module named pg8000

由 亡梦爱人 提交于 2019-12-11 18:26:28
问题 I use aws-glue now and would like to connect aws-glue to aws-aurora(Postgres)! So, I created aws-glew job to connect aws-glue to aws-aurora(Postgres) by using pg8000. But I get the error message like title: ImportError: No module named pg8000 No module named pg8000 When creating job, I set parameter of python library through S3. How can I solve this problem? And how can I connect aws-glue to aws-aurora(Postgres)? 回答1: It looks like you can connect to Aurora Postgres only through an Amazon RDS

Optimize write performance for AWS Aurora instance

由 坚强是说给别人听的谎言 提交于 2019-11-30 09:06:20
I've got an AWS Aurora DB cluster running that is 99.9% focused on writes. At it's peak, it will be running 2-3k writes/sec. I know Aurora is somewhat optimized by default for writes, but I wanted to ask as a relative newcomer to AWS - what are some best practices/tips for write performance with Aurora? Bill Karwin From my experience, Amazon Aurora is unsuited to running a database with heavy write traffic. At least in its implementation circa 2017. Maybe it'll improve over time. I worked on some benchmarks for a write-heavy application earlier in 2017, and we found that RDS (non-Aurora) was

Optimize write performance for AWS Aurora instance

由 和自甴很熟 提交于 2019-11-29 07:58:06
问题 I've got an AWS Aurora DB cluster running that is 99.9% focused on writes. At it's peak, it will be running 2-3k writes/sec. I know Aurora is somewhat optimized by default for writes, but I wanted to ask as a relative newcomer to AWS - what are some best practices/tips for write performance with Aurora? 回答1: From my experience, Amazon Aurora is unsuited to running a database with heavy write traffic. At least in its implementation circa 2017. Maybe it'll improve over time. I worked on some
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