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Demo from "What on Earth is Delta Lake?" article
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "e34bb3d0", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import os\n", | |
"import pyspark\n", | |
"from delta import *" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "1947d33a", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"builder = pyspark.sql.SparkSession.builder.appName(\"MyApp\") \\\n", | |
" .config(\"spark.sql.extensions\", \"io.delta.sql.DeltaSparkSessionExtension\") \\\n", | |
" .config(\"spark.sql.catalog.spark_catalog\", \"org.apache.spark.sql.delta.catalog.DeltaCatalog\")\n", | |
"\n", | |
"spark = configure_spark_with_delta_pip(builder).getOrCreate()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "8ed1cc0e", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"delta_path = './delta-playground/delta-table'\n", | |
"data = spark.range(0, 5)\n", | |
"data.write.mode(\"overwrite\").format(\"delta\").save(delta_path)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "d7c805a1", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"df = spark.read.format(\"delta\").load(delta_path)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "aea58f10", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"df = df.union(spark.range(5, 10))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "28116862", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"df.show()\n", | |
"df.write.mode(\"overwrite\").format(\"delta\").save(delta_path)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "d37755a3", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"df = df.union(spark.range(10, 100))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "8a69c3c4", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"df.show()\n", | |
"df.write.mode(\"overwrite\").format(\"delta\").save(delta_path)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "b027200f", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"for i in range(100,110):\n", | |
" df = df.union(spark.range(i, i+1))\n", | |
" df.write.mode(\"overwrite\").format(\"delta\").save(delta_path)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "afce9eee", | |
"metadata": { | |
"scrolled": true | |
}, | |
"outputs": [], | |
"source": [ | |
"df.show()" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "py3-default", | |
"language": "python", | |
"name": "pyenv_py3-default" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.10.0" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 5 | |
} |
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