petermarshallio commented on code in PR #14501:
URL: https://github.com/apache/druid/pull/14501#discussion_r1254204571
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examples/quickstart/jupyter-notebooks/notebooks/02-ingestion/XX-example-flightdata-events.ipynb:
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@@ -0,0 +1,807 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "e79d7d48-b403-4b9e-8cc6-0f0accecac1f",
+ "metadata": {},
+ "source": [
+ "# Data modeling and ingestion principles - creating Events from Druid's
sample flight data\n",
+ "\n",
+ "Druid's data loader allows you to quickly ingest sample carrier data into
a `TABLE`, giving you an easy way to learn about the SQL functions that are
available. It's also a great place to start understanding how data modeling for
event analytics in a real-time database differs from modeling you'd apply in
other databases, as well as being small enough to safely see - and try out -
different data layout designs safely.\n",
+ "\n",
+ "In this notebook, you'll walk through creating a table of events out of
the sample data set, applying data modeling principles as you go. At the end
you'll have a `TABLE` called \"flight-events\" that you can then use as you
continue your learning in Apache Druid.\n",
+ "\n",
+ "## Prerequisites\n",
+ "\n",
+ "In order to use this notebook, you'll need access to a small Druid
deployment.\n",
+ "\n",
+ "It's a good idea to test ingesting the data \"as is\" on that cluster to
make sure it's operational before you get going.\n",
+ "\n",
+ "## Getting started\n",
+ "\n",
+ "Run the following to set up the druid api. Remember to change the
`druid-host` to the appropriate endpoint to submit your SQL.\n",
+ "\n",
+ "**NOTE** that this notebook calls the `sql_client.wait_until_ready`
method. This will pause the Python kernel until ingestion has completed, and
subsequent cells will not run until the ingestion is finished."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "ffc13d62-d1fc-45bc-855a-8c7687d4c720",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "import druidapi\n",
+ "\n",
+ "# druid_host is the hostname and port for your Druid deployment. \n",
+ "# In the Docker Compose tutorial environment, this is the Router\n",
+ "# service running at \"http://router:8888\".\n";,
+ "\n",
+ "# If you are not using the Docker Compose environment, edit the
`druid_host`.\n",
+ "\n",
+ "druid_host = \"http://router:8888\"\n";,
+ "druid_host\n",
+ "\n",
+ "druid = druidapi.jupyter_client(druid_host)\n",
+ "display = druid.display\n",
+ "sql_client = druid.sql"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "596eed1f-c47f-48cc-a537-5703c7eefc38",
+ "metadata": {},
+ "source": [
+ "## Apply modeling principles\n",
Review Comment:
Added text after each heading.
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