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mkdir ./{vault,dgraph}

cat << 'EOF' > compose.yml
services:
  zero1:
    image: dgraph/dgraph:${DGRAPH_VERSION}
    command: dgraph zero --my=zero1:5080 --replicas 1 --raft idx=1
    ports:
      - 6080:6080
    container_name: zero1

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Installation

Goal: Install Consul 1.17.0.

# INSTALL
# Source: https://developer.hashicorp.com/consul/downloads
wget -O- https://apt.releases.hashicorp.com/gpg \
  | sudo gpg --dearmor -o /usr/share/keyrings/hashicorp-archive-keyring.gpg

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EKS_CLUSTER_NAME=${EKS_CLUSTER_NAME:-"my-cluster"}
NODE_GROUP=$(aws eks list-nodegroups \
  --cluster-name $EKS_CLUSTER_NAME \
  | jq -r '.nodegroups[0]'
)
ROLE_ARN=$(aws eks describe-nodegroup \
  --cluster-name $EKS_CLUSTER_NAME \
  --nodegroup-name $NODE_GROUP \
  | jq -r '.nodegroup.nodeRole'
)

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Pedantic ADHD Guide to Kubenretes Provisioning

This is my guide for how to get Kubernetes provisioned using Azure, Google Cloud, or AWS using CLI tools. This will require setting up an account with local CLI tools. The goal of this is to quickly set up a disposable test clusters in minimalist way.

The Tools

Some tools used here:

• General
• direnv (direnv) - used to setup environment variables automatically

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SQL languages

DDL is short name of Data Definition Language, which deals with database schemas and descriptions, of how the data should reside in the database.

DML is short name of Data Manipulation Language which deals with data manipulation, and includes most common SQL statements such SELECT, INSERT, UPDATE, DELETE etc, and it is used to store, modify, retrieve, delete and update data in database.

DCL is short name of Data Control Language which includes commands such as GRANT, and mostly concerned with rights, permissions and other controls of the database system.

Datatypes

Text types

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# enable billing and APIs for GKE project if not done already
gcloud projects create $GKE_PROJECT_ID
gcloud config set project $GKE_PROJECT_ID
gcloud beta billing projects link $GKE_PROJECT_ID \
  --billing-account $ClOUD_BILLING_ACCOUNT
gcloud services enable "container.googleapis.com"

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# gke
export GKE_PROJECT_ID="my-gke-project" # CHANGE ME
export GKE_CLUSTER_NAME="csm-demo"
export GKE_REGION="us-central1"
export GKE_SA_NAME="gke-worker-nodes-sa"
export GKE_SA_EMAIL="$GKE_SA_NAME@${GKE_PROJECT_ID}.iam.gserviceaccount.com"
export KUBECONFIG=~/.kube/$GKE_REGION-$GKE_CLUSTER_NAME.yaml

# other
export USE_GKE_GCLOUD_AUTH_PLUGIN=True

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{
 me(func:allofterms(name, "Star Wars")) @filter(ge(release_date, "1980")) {
   name
   release_date
   revenue
   running_time
   director {
    name
   }
   starring {

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source env.sh

gcloud container clusters delete $GKE_CLUSTER_NAME \
  --project $GKE_PROJECT_ID --region $GKE_REGION

gcloud iam service-accounts delete $GKE_SA_EMAIL --project $GKE_PROJECT_ID

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source env.sh

# delete pydgraph-client
helmfile --file ./examples/dgraph/helmfile.yaml delete
kubectl delete namespace pydgraph-client

# delete dgraph
helmfile --file ./examples/dgraph/helmfile.yaml delete
kubectl delete pvc --selector app=dgraph --namespace "dgraph"
kubectl delete namespace dgraph