Initializing quickstart-demos repo

.gitignore

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+*/kafka-streams-examples

LICENSE

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README.md

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+![image](images/confluent-logo-300-2.png)
+
+# Overview
+
+There are multiple demos in this repo that showcase Kafka stream processing on the Confluent Platform.  Each demo resides in its own subfolder:
+
+* [pageviews](pageviews/README.md)
+* [music](music/README.md)
+* [clickstream](clickstream/README.md)
+* [wikipedia](wikipedia/README.md)
+* [ratings](ratings/README.md)
+* [mysql-debezium](mysql-debezium/README.md)
+* [ccloud](ccloud/README.md)
+
+# Running The Demos
+
+1. Clone the repo: `git clone https://github.com/confluentinc/quickstart-demos`
+2. Change directory to one of the demo subfolders
+3. Start a demo with `./start.sh`
+4. Stop a demo with `./stop.sh`
+
+# Prerequisites
+
+* [Confluent Platform 4.1](https://www.confluent.io/download/)
+* Env var `CONFLUENT_HOME=/path/to/confluentplatform`
+* Env var `PATH` includes `$CONFLUENT_HOME/bin`
+* Internet connectivity to download the KSQL UI
+  * If you do not want to download the KSQL UI, comment out ``get_ksql_ui`` in the demo's ``start.sh`` script
+* Each demo has its own set of prerequisites as well, documented in each demo's README

ccloud/README.md

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+![image](../images/confluent-logo-300-2.png)
+
+# Overview
+
+This Confluent Cloud demo is the automated cloud version of the [Confluent Platform 4.1 Quickstart](https://docs.confluent.io/current/quickstart.html), whereby KSQL streaming runs on your Confluent Cloud cluster. You can monitor the KSQL streams in Confluent Control Center. Note that there will not be any details on the System Health pages about brokers or topics because Confluent Cloud does not provide the Confluent Metrics Reporter instrumentation outside of the Confluent Cloud.
+
+This demo also showcases the Confluent Replicator executable for self-hosted Confluent to Confluent Cloud. This can be used for Disaster Recovery or other scenarios. In this case, Replicator is used to bootstrap the KSQL stream processing input Kafka topics `users` and `pageviews`.
+
+![image](images/ccloud-demo-diagram.jpg)
+
+# Prerequisites
+
+* [Common demo prerequisites](https://github.com/confluentinc/quickstart-demos#prerequisites)
+* [Confluent Platform 4.1: Enterprise](https://www.confluent.io/download/)
+* [Confluent Cloud CLI](https://docs.confluent.io/current/cloud-quickstart.html#step-2-install-ccloud-cli)
+* [An initialized Confluent Cloud cluster used for development only](https://confluent.cloud)
+
+NOTE: Do not run this demo against a production Confluent Cloud cluster. Run it only in a cluster used for development only.
+
+# What Should I see?
+
+After you run `./start.sh`:
+
+* If you are running Confluent Enterprise, open your browser and navigate to the Control Center web interface:
+  *  Monitoring -> Data streams at http://localhost:9021/monitoring/streams to monitor throughput and latency performance of the KSQL queries
+  *  Management -> Kafka Connect at http://localhost:9021/management/connect to monitor Replicator
+* Run `ksql http://localhost:8089` to view and create queries, or open your browser and navigate to the KSQL UI at http://localhost:8089
+* Run `ccloud topic list` to view all the new Kafka topics created on Confluent Cloud
+
+In addition to running `./stop.sh` to stop the demo, you may also run `./ccloud-delete-all-topics.sh` to delete all topics used for Confluent Control Center, Kafka Connect, Confluent Schema Registry from your Confluent Cloud cluster.

ccloud/ccloud-delete-all-topics.sh

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+#!/bin/bash
+
+# Source library 
+. ../utils/helper.sh
+
+check_env || exit 1
+check_ccloud || exit
+
+topics=$(ccloud topic list)
+
+for topic in $topics
+do
+  if [[ ${topic:0:10} == '_confluent' ]]; then
+    ccloud topic delete $topic
+  fi
+done
+
+topics_to_delete="_schemas connect-configs connect-status connect-offsets"
+for topic in $topics_to_delete
+do
+  echo $topics | grep $topic &>/dev/null
+  if [[ $? == 0 ]]; then
+    ccloud topic delete $topic
+  fi
+done

ccloud/ksql.commands

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+CREATE STREAM pageviews_original (viewtime bigint, userid varchar, pageid varchar) WITH (kafka_topic='pageviews.replica', value_format='AVRO');
+CREATE TABLE users_original (registertime bigint, gender varchar, regionid varchar, userid varchar) WITH (kafka_topic='users.replica', value_format='AVRO', key = 'userid');
+CREATE STREAM pageviews_female AS SELECT users_original.userid AS userid, pageid, regionid, gender FROM pageviews_original LEFT JOIN users_original ON pageviews_original.userid = users_original.userid WHERE gender = 'FEMALE';
+CREATE STREAM pageviews_female_like_89 WITH (kafka_topic='pageviews_enriched_r8_r9', value_format='AVRO') AS SELECT * FROM pageviews_female WHERE regionid LIKE '%_8' OR regionid LIKE '%_9';
+CREATE TABLE pageviews_regions WITH (value_format='avro') AS SELECT gender, regionid , COUNT(*) AS numusers FROM pageviews_female WINDOW TUMBLING (size 30 second) GROUP BY gender, regionid HAVING COUNT(*) > 1;