- First download
dbfpy
: http://sourceforge.net/projects/dbfpy/files/latest/download?source=files - Then install:
sudo python setup.py install
To convert DBF file to CSV:
./dbf2csv database.dbf
REPLICAS_COUNT=$(kubectl -s $K8S_CLUSTER --token=$K8S_TOKEN -n $NAMESPACE get pods -l app=$YOUR_APP | grep -i running | wc -l | grep -oE "[0-9]+") | |
if [ $REPLICAS_COUNT -eq 0 ]; then | |
REPLICAS_COUNT=2 | |
fi | |
REPLICAS_COUNT=$REPLICAS_COUNT envsubst < deploy/your-deployment.yaml.template > your-deployment.yaml |
package main | |
import( | |
"log" | |
"net/url" | |
"net/http" | |
"net/http/httputil" | |
) | |
func main() { |
image: docker:latest | |
# When using dind, it's wise to use the overlayfs driver for | |
# improved performance. | |
variables: | |
DOCKER_DRIVER: overlay | |
GCP_PROJECT_ID: CHANGE-TO-GCP-PROJECT-ID | |
IMAGE_NAME: image_id | |
services: |
# Node | |
class Node | |
attr_accessor :value, | |
:height, | |
:left, | |
:right | |
def initialize(value = nil, height = 0) | |
@value = value | |
@height = height |
#!/usr/bin/python | |
import csv | |
import random | |
records=9000000 | |
print("Making %d records\n" % records) | |
fieldnames=['id','name','age','city'] | |
writer = csv.DictWriter(open("people.csv", "w"), fieldnames=fieldnames) |
dbfpy
: http://sourceforge.net/projects/dbfpy/files/latest/download?source=filessudo python setup.py install
To convert DBF file to CSV:
./dbf2csv database.dbf
1. Build GraphQL server using `express-graphql` package. | |
2. Configure `schema.js` file. | |
3. Query for data. |
package main | |
import ( | |
"flag" | |
"io" | |
"log" | |
"net" | |
"net/http" | |
"strings" | |
) |