Dev

.databricks/commit_outputs

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+
+# .databricks/commit_outputs file is used to control whether a notebook's output should be included when committing changes to Git.
+# Outputs are included/excluded at a per notebook level, committing select outputs within a specific notebook is not feasible.
+#
+# Reference:
+# each line in .databricks/commit_outputs represents a glob pattern
+# line starting with # represents a comment
+# notebook that matches a glob pattern will have output included
+# line starting with ! represents a exclusion pattern (i.e. !folder_a/\* will exclude output for all notebooks in folder_a)
+# if a notebook path matches multiple glob patterns, the last matching glob pattern will be used
+# note that glob patterns are case sensitive
+# more examples can be found here: https://docs.databricks.com/repos/repos-setup.html#patterns-for-a-repo-config-file
+
+# Uncomment the following pattern to include output for all notebooks
+# **
+

DE_Bronze/Support Ticket 2026-01-25.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "e133225d-daf5-4fd9-8a8b-39607eb6aad8",
+     "showTitle": false,
+     "tableResultSettingsMap": {},
+     "title": ""
+    }
+   },
+   "outputs": [],
+   "source": [
+    "spark.read.format(\"csv\").load(\"/Volumes/de_use_cases/support_tickets/support_tickets_volume\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "89e19a3b-6c44-47a4-8129-11493db2b9c7",
+     "showTitle": false,
+     "tableResultSettingsMap": {},
+     "title": ""
+    }
+   },
+   "outputs": [],
+   "source": [
+    "df = spark.read.format(\"csv\").load(\"/Volumes/de_use_cases/support_tickets/support_tickets_volume\")\n",
+    "display(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "d801d834-febb-4194-ab63-439936717660",
+     "showTitle": true,
+     "tableResultSettingsMap": {},
+     "title": "Cell 3"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "df = spark.read.format(\"csv\")\\\n",
+    "        .option(\"header\", \"true\")\\\n",
+    "        .load(\"/Volumes/de_use_cases/support_tickets/support_tickets_volume\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "c8819041-dcf6-4e84-b951-85bba991fc4a",
+     "showTitle": false,
+     "tableResultSettingsMap": {},
+     "title": ""
+    }
+   },
+   "outputs": [],
+   "source": [
+    "display(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "0cfbe491-6aa1-4aa2-9c80-cd5a8a704f61",
+     "showTitle": false,
+     "tableResultSettingsMap": {},
+     "title": ""
+    }
+   },
+   "outputs": [],
+   "source": [
+    "df = spark.read.format(\"csv\")\\\n",
+    "        .option(\"header\", \"true\")\\\n",
+    "        .option(\"inferSchema\", \"true\")\\\n",
+    "        .load(\"/Volumes/de_use_cases/support_tickets/support_tickets_volume\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "eb48ec44-0ebf-4c79-9140-6d4ce56010e6",
+     "showTitle": true,
+     "tableResultSettingsMap": {},
+     "title": "Cell 6"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from pyspark.sql.types import StructType, StructField, StringType, DateType\n",
+    "schema = StructType([\n",
+    "    StructField(\"ticket_id\", StringType(), True),\n",
+    "    StructField(\"description\", StringType(), True),\n",
+    "    StructField(\"status\", StringType(), True),\n",
+    "    StructField(\"created_date\", DateType(), True)\n",
+    "])\n",
+    "df = spark.read.format(\"csv\")\\\n",
+    "        .option(\"header\", \"true\")\\\n",
+    "        .schema(schema)\\\n",
+    "        .load(\"/Volumes/de_use_cases/support_tickets/support_tickets_volume\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "5ab20122-5e65-49db-8867-d9a972fcd9f5",
+     "showTitle": false,
+     "tableResultSettingsMap": {},
+     "title": ""
+    }
+   },
+   "outputs": [],
+   "source": [
+    "display(df)"
+   ]
+  }
+ ],
+ "metadata": {
+  "application/vnd.databricks.v1+notebook": {
+   "computePreferences": null,
+   "dashboards": [],
+   "environmentMetadata": {
+    "base_environment": "",
+    "environment_version": "4"
+   },
+   "inputWidgetPreferences": null,
+   "language": "python",
+   "notebookMetadata": {
+    "pythonIndentUnit": 4
+   },
+   "notebookName": "Support Ticket 2026-01-25",
+   "widgets": {}
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

DE_Bronze/Testing myname in job 2026-01-25.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 0,
+   "metadata": {
+    "application/vnd.databricks.v1+cell": {
+     "cellMetadata": {
+      "byteLimit": 2048000,
+      "rowLimit": 10000
+     },
+     "inputWidgets": {},
+     "nuid": "6fb1bed7-f8b1-4898-888f-be65e19bead3",
+     "showTitle": false,
+     "tableResultSettingsMap": {},
+     "title": ""
+    }
+   },
+   "outputs": [],
+   "source": [
+    "print(\"Hello Jagadeesh Reddy\")\n",
+    "print(\"Here am running below code for you :)\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "application/vnd.databricks.v1+notebook": {
+   "computePreferences": null,
+   "dashboards": [],
+   "environmentMetadata": {
+    "base_environment": "",
+    "environment_version": "4"
+   },
+   "inputWidgetPreferences": null,
+   "language": "python",
+   "notebookMetadata": {
+    "pythonIndentUnit": 4
+   },
+   "notebookName": "Testing myname in job 2026-01-25",
+   "widgets": {}
+  },
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}