mirror of https://github.com/databricks/cli.git
WIP
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@ -4,7 +4,7 @@
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"project_name": {
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"type": "string",
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"default": "my_project",
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"description": "Please provide the following details to tailor the template to your preferences.\n\nUnique name for this project",
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"description": "\nPlease provide a unique name for this project.\nproject_name",
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"order": 1,
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"pattern": "^[A-Za-z0-9_]+$",
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"pattern_match_failure_message": "Name must consist of letters, numbers, and underscores."
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@ -13,7 +13,7 @@
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"type": "string",
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"default": "yes",
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"enum": ["yes", "no"],
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"description": "Include a stub (sample) notebook in '{{.project_name}}{{path_separator}}src'",
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"description": "\n\nInclude a stub (sample) notebook in '{{.project_name}}{{path_separator}}src'",
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"order": 2
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},
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"include_dlt": {
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@ -1,83 +0,0 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"application/vnd.databricks.v1+cell": {
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"cellMetadata": {},
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"inputWidgets": {},
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"nuid": "9a626959-61c8-4bba-84d2-2a4ecab1f7ec",
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"showTitle": false,
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"title": ""
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}
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},
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"source": [
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"# helper notebook: apply_defaults\n",
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"\n",
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"This helper notebook is used to create widgets that configure the default catalog\n",
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"and schema.\n",
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"\n",
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"Usage:\n",
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"\n",
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"```\n",
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"% run ../relative/path/to/apply_defaults\n",
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"```"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 0,
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"metadata": {
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"application/vnd.databricks.v1+cell": {
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"cellMetadata": {},
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"inputWidgets": {},
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"nuid": "9198e987-5606-403d-9f6d-8f14e6a4017f",
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"showTitle": false,
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"title": ""
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}
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},
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"outputs": [],
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"source": [
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"# Load default catalog and schema as widget and set their values as the default catalog / schema\n",
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"dbutils.widgets.text('catalog', '{{.default_catalog}}')\n",
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"dbutils.widgets.text('schema', 'default')\n",
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"catalog = dbutils.widgets.get('catalog')\n",
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"schema = dbutils.widgets.get('schema')\n",
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"spark.sql(f'USE {catalog}.{schema}')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Automatically reload imported modules when they change\n",
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"%load_ext autoreload\n",
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"%autoreload 2"
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]
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}
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],
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"metadata": {
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"application/vnd.databricks.v1+notebook": {
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"dashboards": [],
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"language": "python",
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"notebookMetadata": {
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"pythonIndentUnit": 2
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},
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"notebookName": "dlt_pipeline",
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"widgets": {}
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},
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"name": "python",
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"version": "3.11.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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@ -24,7 +24,9 @@
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"outputs": [],
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"source": [
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"# Load default catalog and schema as widget and set their values as the default catalog / schema\n",
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"%run ./apply_defaults"
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"catalog = dbutils.widgets.get('catalog')\n",
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"schema = dbutils.widgets.get('schema')\n",
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"spark.sql(f'USE {catalog}.{schema}')"
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]
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},
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{
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"pythonIndentUnit": 2
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},
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"notebookName": "notebook",
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"widgets": {}
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"widgets": {
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"catalog": {
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"currentValue": "{{.default_catalog}}",
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"nuid": "3965fc9c-8080-45b1-bee3-f75cef7685b4",
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"typedWidgetInfo": {
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"autoCreated": false,
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"defaultValue": "{{.default_catalog}}",
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"label": null,
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"name": "catalog",
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"options": {
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"widgetDisplayType": "Text",
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"validationRegex": null
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},
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"parameterDataType": "String"
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},
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"widgetInfo": {
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"widgetType": "text",
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"defaultValue": "{{.default_catalog}}",
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"label": null,
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"name": "catalog",
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"options": {
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"widgetType": "text",
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"autoCreated": null,
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"validationRegex": null
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}
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}
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},
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{{- $dev_schema := .shared_schema }}
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{{- if (regexp "^yes").MatchString .personal_schemas}}
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{{- $dev_schema = "{{short_name}}"}}
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{{- end}}
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"schema": {
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"currentValue": "{{$dev_schema}}",
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"nuid": "6ec0d70f-39bf-4859-a510-02c3e3d59bff",
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"typedWidgetInfo": {
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"autoCreated": false,
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"defaultValue": "{{$dev_schema}}",
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"label": null,
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"name": "schema",
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"options": {
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"widgetDisplayType": "Text",
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"validationRegex": null
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},
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"parameterDataType": "String"
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},
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"widgetInfo": {
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"widgetType": "text",
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"defaultValue": "{{$dev_schema}}",
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"label": null,
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"name": "schema",
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"options": {
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"widgetType": "text",
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"autoCreated": null,
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"validationRegex": null
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}
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}
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}
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}
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},
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"kernelspec": {
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"display_name": "Python 3",
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@ -1,4 +1,5 @@
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from pyspark.sql import SparkSession, DataFrame
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import argparse
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def get_spark() -> SparkSession:
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"""
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