Juan Carlos Méndez dersteppenwolf

CartoDB's MVT service + Mapbox GL

Check index.html for some examples. These use a beta feature of CartoDB's Maps API: fixed URLs. So there is no need to use cartodb.js and tiles can be consumed using a named map name.

cartodb.js example

Check cartodb.js.html to see the integration with cartodb.js and in particular with cartodb.core.js.

Mapbox GL resources

API reference

Meta Gist

PostgreSQL and PostGIS queries
CartoCSS styles
CARTO.js blocks
DI.js blocks
Leaflet.js blocks
Other blocks
Others

Docker - How to cleanup (unused) resources

Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...

delete volumes

// see: https://github.com/chadoe/docker-cleanup-volumes

$ docker volume rm $(docker volume ls -qf dangling=true)

$ docker volume ls -qf dangling=true | xargs -r docker volume rm

	import arcpy
	import os
	#"unregistering as versioned" multiple datasets using arcpy
	try:
	conn_path = "c:/temp/RUTACONN.SDE"
	datasets = ["DATASET_01", "DATASET_02", "DATASET_03", "DATASET_04", "DATASET_05"]
	for dataset in datasets:
	dataset_path = os.path.join(conn_path,dataset )
	print dataset_path
	datasetVersioned = arcpy.Describe(dataset_path).isVersioned

	#!/usr/bin/env python

	'''
	This script creates an .sd from a .pyt

	.. It assumes that all tools can be called with no parameters (i.e.,
	all parameters are "optional". Not ideal for all services, but
	works fine for services that arn't called from ArcMap anyway.
	If you are calling your service from ArcMap, publish the traditional
	way ..

	# -- coding: utf-8 --

	# Requires CartoDB Toolbox for Arcgis http://gkudos.com/blog/2015/05/15/cartodb-toolbox/
	# http://stackoverflow.com/questions/29134512/insecureplatformwarning-a-true-sslcontext-object-is-not-available-this-prevent
	# python -m pip install requests[security]

	# Import arcpy module
	import arcpy
	import logging, os
	from arcpy import env

	try:
	max_num_vertex = 250
	feature = "yourFeatureName"
	dataset = "yourDatasetName"
	sourceWorkspace= "C:/data/gdb/yourdata.gdb"
	env.workspace = sourceWorkspace + '/' + dataset + '/'
	layerSelection = "selectedLayer"
	arcpy.MakeFeatureLayer_management(feature, layerSelection)
	result = arcpy.GetCount_management(layerSelection)
	resultValue = result.getOutput(0)

	version: '2'
	services:

	elasticsearch:
	image: docker.elastic.co/elasticsearch/elasticsearch:5.3.0
	container_name: elasticsearch
	environment:
	- cluster.name=docker-cluster
	- bootstrap.memory_lock=true
	- "ES_JAVA_OPTS=-Xms1024m -Xmx1024m"