onelittlenightmusic

apiVersion: v1
kind: Service
metadata:
  name: myapp-svc
spec:
  selector:
    app: myapp
  ports:
  - protocol: TCP
    port: 5432

onelittlenightmusic

onelittlenightmusic

from sqlalchemy.sql import text, select, join
def wrap_array_for_columns(arr):
    return map(lambda x: text(column_text(x)), arr)

def column_text(column_struct):
    _name = column_struct.get("name")
    _table = column_struct.get("table")
    _alias = column_struct.get("alias", _name)
    if _table is None:
        return "%s as %s"%(_name, _alias)

onelittlenightmusic

class SqlMetadata:
    def __init__(self, name, sql):
        self.name = name
        self.sql = sql
    def getSql(self):
        return self.sql+' as '+self.name
sqlarray = [SqlMetadata("score", "json_array_elements(restaurant_from_df.grades_json::json)->'score'"),
            SqlMetadata("grade", "json_array_elements(restaurant_from_df.grades_json::json)->'grade'"),
            SqlMetadata("date", "json_array_elements(restaurant_from_df.grades_json::json)->'date'"),
           ]

onelittlenightmusic

onelittlenightmusic

<?xml version="1.0" encoding="UTF-8"?>
<transformation>
  <info>
    <name>create_new_transformation</name>
    <description/>
    <extended_description/>
    <trans_version/>
    <trans_type>Normal</trans_type>
    <directory>&#x2f;</directory>
    <parameters>

onelittlenightmusic

from __future__ import division
import gym
import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Activation
from keras.optimizers import sgd
import os
import random
from os.path import isfile
from collections import deque

onelittlenightmusic

//Script here


var row = createRowCopy(getOutputRowMeta().size());
for(var i = 0; i < parsed.data.length; i++) {
	//Alert(one_data.name);
	var one_var = parsed.data[i];
	name = one_var.name;
	type = one_var.type;
	value = one_var.value;

onelittlenightmusic

//Script here

//Alert(test);
var parsed = JSON.parse(var_settings);
for(var i = 0; i < parsed.data.length; i++) {
	//Alert(one_data.name);
	var one_var = parsed.data[i];
	name = one_var.name;
	type = one_var.type;
	value = one_var.value;

onelittlenightmusic

$ jupyter notebook
[W 23:02:29.351 NotebookApp] WARNING: The notebook server is listening on all IP addresses and not using encryption. This is not recommended.
[I 23:02:29.398 NotebookApp] The port 3000 is already in use, trying another port.
[I 23:02:29.398 NotebookApp] The port 3001 is already in use, trying another port.
[I 23:02:29.398 NotebookApp] The port 3002 is already in use, trying another port.
[I 23:02:29.398 NotebookApp] The port 3003 is already in use, trying another port.
・・・