sudo apt-get install python3-pip
sudo pip3 install virtualenv
Download
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$ pg_dump -h <public dns> -U <my username> -f <name of dump file .sql> <name of my database>$ psql -U <postgresql username> -d <database name> -f <dump file that you want to restore>| # You don't need Fog in Ruby or some other library to upload to S3 -- shell works perfectly fine | |
| # This is how I upload my new Sol Trader builds (http://soltrader.net) | |
| # Based on a modified script from here: http://tmont.com/blargh/2014/1/uploading-to-s3-in-bash | |
| S3KEY="my aws key" | |
| S3SECRET="my aws secret" # pass these in | |
| function putS3 | |
| { | |
| path=$1 |
| <?php | |
| require_once("PHPExcel/PHPExcel.php"); | |
| $phpExcel = new PHPExcel(); | |
| $styleArray = array( | |
| 'font' => array( | |
| 'bold' => true, | |
| ) | |
| ); |
You have to do 2 things in order to allow your container to access your host's postgresql database
Obs: By "Host" here I mean "the server where docker is running on".
Find your postgresql.conf (in case you don't know where it is)
$ sudo find / -type f -name postgresql.conf
| # Initialize the scroll | |
| page = es.search( | |
| index = 'yourIndex', | |
| doc_type = 'yourType', | |
| scroll = '2m', | |
| search_type = 'scan', | |
| size = 1000, | |
| body = { | |
| # Your query's body | |
| }) |
| from pyelasticsearch import ElasticSearch | |
| import pandas as pd | |
| from time import time | |
| root_path="/home/clemsos/Dev/mitras/" | |
| raw_data_path=root_path+"data/" | |
| csv_filename="week10.csv" | |
| t0=time() |
| # coding: utf8 | |
| """ | |
| Goal: import csv to database. | |
| pip install pandas, numpy | |
| """ | |
| import pandas | |
| import numpy as np |
| # -*- coding: utf-8 -*- | |
| # import pandas and numpy package | |
| import numpy as np | |
| import pandas as pd | |
| # List unique values in a DataFrame column | |
| df['Column Name'].unique() | |
| # To extract a specific column (subset the dataframe), you can use [ ] (brackets) or attribute notation. |