vtlim commented on code in PR #13984:
URL: https://github.com/apache/druid/pull/13984#discussion_r1164799518
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examples/quickstart/jupyter-notebooks/kafka-tutorial.ipynb:
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@@ -0,0 +1,747 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Tutorial: Ingest and query data from Apache Kafka\n",
+ "\n",
+ "<!--\n",
+ " ~ Licensed to the Apache Software Foundation (ASF) under one\n",
+ " ~ or more contributor license agreements. See the NOTICE file\n",
+ " ~ distributed with this work for additional information\n",
+ " ~ regarding copyright ownership. The ASF licenses this file\n",
+ " ~ to you under the Apache License, Version 2.0 (the\n",
+ " ~ \"License\"); you may not use this file except in compliance\n",
+ " ~ with the License. You may obtain a copy of the License at\n",
+ " ~\n",
+ " ~ http://www.apache.org/licenses/LICENSE-2.0\n";,
+ " ~\n",
+ " ~ Unless required by applicable law or agreed to in writing,\n",
+ " ~ software distributed under the License is distributed on an\n",
+ " ~ \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
+ " ~ KIND, either express or implied. See the License for the\n",
+ " ~ specific language governing permissions and limitations\n",
+ " ~ under the License.\n",
+ " -->\n",
+ "\n",
+ "This tutorial introduces you to streaming ingestion in Apache Druid using
the Apache Kafka event streaming platform.\n",
+ "Follow along to learn how to create and load data into a Kafka topic,
start ingesting data from the topic into Druid, and query results over time.
This tutorial assumes you have a basic understanding of Druid ingestion,
querying, and API requests."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Table of contents\n",
+ "\n",
+ "* [Prerequisites](#Prerequisites)\n",
+ "* [Load Druid API client](#Load-Druid-API-client)\n",
+ "* [Create Kafka topic](#Create-Kafka-topic)\n",
+ "* [Load data into Kafka topic](#Load-data-into-Kafka-topic)\n",
+ "* [Start Druid ingestion](#Start-Druid-ingestion)\n",
+ "* [Query Druid datasource and visualize query
results](#Query-Druid-datasource-and-visualize-query-results)\n",
+ "* [Learn more](#Learn-more)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Prerequisites\n",
+ "\n",
+ "This tutorial depends on the following Python packages:\n",
+ "* `druidapi`, a Python client for Apache Druid\n",
+ "* `DruidDataDriver`, a data generator\n",
+ "* `kafka`, a Python client for Apache Kafka\n",
+ "* `pandas`, `matplotlib`, and `seaborn` for data visualization\n",
+ "\n",
+ "Launch this tutorial and all prerequisites using the `all-services`
profile of the Docker Compose file for Jupyter-based Druid tutorials. For more
information, see [Jupyter Notebook
tutorials](https://druid.apache.org/docs/latest/tutorials/tutorial-jupyter-index.html)."
Review Comment:
Updated the script to avoid having to install this package
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