techdocsmith commented on code in PR #13588:
URL: https://github.com/apache/druid/pull/13588#discussion_r1061957407
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examples/quickstart/jupyter-notebooks/partitioned-by-tutorial.ipynb:
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@@ -0,0 +1,428 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "ad4e60b6",
+ "metadata": {
+ "deletable": true,
+ "editable": true,
+ "tags": []
+ },
+ "source": [
+ "# Tutorial: Druid SQL segment sizing and partitioning\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",
+ "Partitioning is a method of organizing a large datasource into
independent partitions.\n",
+ "Partitioning reduces the size of your data and increases query
performance.\n",
Review Comment:
I see that we are only covering time in this tutorial. That is fine. So you
won't need to go into so much detail about secondary partitioning, but we
should mention it and that it will be another tutorial. I think the scope
you've already set out is good enough for this tutorial. Just say that you use
CLUSTERED BY for secondary partitioning.
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