diff --git a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template.ipynb b/tools/databricks/[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template.ipynb index 6ae30bc5a..69cb3faf5 100644 --- a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template.ipynb +++ b/tools/databricks/[RAPIDS Accelerator for Apache Spark] Profiling Tool Notebook Template.ipynb @@ -4,10 +4,7 @@ "cell_type": "markdown", "metadata": { "application/vnd.databricks.v1+cell": { - "cellMetadata": { - "byteLimit": 2048000, - "rowLimit": 10000 - }, + "cellMetadata": {}, "inputWidgets": {}, "nuid": "df33c614-2ecc-47a0-8600-bc891681997f", "showTitle": false, @@ -17,7 +14,7 @@ "source": [ "## Welcome to the Profiling Tool for the RAPIDS Accelerator for Apache Spark\n", "\n", - "To run the tool, enter the log path that represents the DBFS location of your Spark GPU event logs. Then, select \"Run all\" to execute the notebook. Once the notebook completes, various output tables will appear below. For more options on running the profiling tool, please refer to the [Profiling Tool User Guide](https://docs.nvidia.com/spark-rapids/user-guide/latest/profiling/quickstart.html#running-the-tool).\n", + "To run the profiling tool, enter the log path that represents the DBFS location of your Spark GPU event logs. Then, select \"Run all\" to execute the notebook. Once the notebook completes, various output tables will appear below. For more options on running the profiling tool, please refer to the [Profiling Tool User Guide](https://docs.nvidia.com/spark-rapids/user-guide/latest/profiling/quickstart.html#running-the-tool).\n", "\n", "### Note\n", "- Currently, only local or DBFS event log paths are supported.\n", @@ -144,10 +141,7 @@ "cell_type": "markdown", "metadata": { "application/vnd.databricks.v1+cell": { - "cellMetadata": { - "byteLimit": 2048000, - "rowLimit": 10000 - }, + "cellMetadata": {}, "inputWidgets": {}, "nuid": "f83af6c8-5a79-4a46-965b-38a4cb621877", "showTitle": false, @@ -371,10 +365,7 @@ "cell_type": "markdown", "metadata": { "application/vnd.databricks.v1+cell": { - "cellMetadata": { - "byteLimit": 2048000, - "rowLimit": 10000 - }, + "cellMetadata": {}, "inputWidgets": {}, "nuid": "bbe50fde-0bd6-4281-95fd-6a1ec6f17ab2", "showTitle": false, @@ -449,7 +440,7 @@ "stack": true }, "nuid": "91c1bfb2-695a-4e5c-8a25-848a433108dc", - "origId": 1067496318336737, + "origId": 1067496318336773, "title": "Executive View", "version": "DashboardViewV1", "width": 1600 @@ -463,7 +454,7 @@ "stack": true }, "nuid": "62243296-4562-4f06-90ac-d7a609f19c16", - "origId": 1067496318336738, + "origId": 1067496318336774, "title": "App View", "version": "DashboardViewV1", "width": 1920 diff --git a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template.ipynb b/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template.ipynb index 934d8ffae..806cb0dab 100644 --- a/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template.ipynb +++ b/tools/databricks/[RAPIDS Accelerator for Apache Spark] Qualification Tool Notebook Template.ipynb @@ -4,10 +4,7 @@ "cell_type": "markdown", "metadata": { "application/vnd.databricks.v1+cell": { - "cellMetadata": { - "byteLimit": 2048000, - "rowLimit": 10000 - }, + "cellMetadata": {}, "inputWidgets": {}, "nuid": "df33c614-2ecc-47a0-8600-bc891681997f", "showTitle": false, @@ -17,7 +14,7 @@ "source": [ "## Welcome to the Qualification Tool for the RAPIDS Accelerator for Apache Spark\n", "\n", - "To run the user tool, enter the log path representing the DBFS location of your Spark CPU event logs. Then, select \"Run all\" to execute the notebook. After the notebook completes, various output tables will appear below. For more options on running the qualification tool, please refer to the [Qualification Tool User Guide](https://docs.nvidia.com/spark-rapids/user-guide/latest/qualification/quickstart.html#running-the-tool).\n", + "To run the qualification tool, enter the log path that represents the DBFS location of your Spark GPU event logs. Then, select \"Run all\" to execute the notebook. Once the notebook completes, various output tables will appear below. For more options on running the profiling tool, please refer to the [Qualification Tool User Guide](https://docs.nvidia.com/spark-rapids/user-guide/latest/qualification/quickstart.html#running-the-tool).\n", "\n", "### Note\n", "- Currently, only local or DBFS event log paths are supported.\n", @@ -140,10 +137,7 @@ "cell_type": "markdown", "metadata": { "application/vnd.databricks.v1+cell": { - "cellMetadata": { - "byteLimit": 2048000, - "rowLimit": 10000 - }, + "cellMetadata": {}, "inputWidgets": {}, "nuid": "f83af6c8-5a79-4a46-965b-38a4cb621877", "showTitle": false, @@ -367,10 +361,7 @@ "cell_type": "markdown", "metadata": { "application/vnd.databricks.v1+cell": { - "cellMetadata": { - "byteLimit": 2048000, - "rowLimit": 10000 - }, + "cellMetadata": {}, "inputWidgets": {}, "nuid": "bbe50fde-0bd6-4281-95fd-6a1ec6f17ab2", "showTitle": false, @@ -415,10 +406,7 @@ "cell_type": "markdown", "metadata": { "application/vnd.databricks.v1+cell": { - "cellMetadata": { - "byteLimit": 2048000, - "rowLimit": 10000 - }, + "cellMetadata": {}, "inputWidgets": {}, "nuid": "6756159b-30ca-407a-ab6b-9c29ced01ea6", "showTitle": false, @@ -467,10 +455,7 @@ "cell_type": "markdown", "metadata": { "application/vnd.databricks.v1+cell": { - "cellMetadata": { - "byteLimit": 2048000, - "rowLimit": 10000 - }, + "cellMetadata": {}, "inputWidgets": {}, "nuid": "4d7ce219-ae75-4a0c-a78c-4e7f25b8cd6f", "showTitle": false, @@ -533,7 +518,7 @@ "stack": true }, "nuid": "91c1bfb2-695a-4e5c-8a25-848a433108dc", - "origId": 1067496318336720, + "origId": 1067496318336775, "title": "Executive View", "version": "DashboardViewV1", "width": 1600 @@ -547,7 +532,7 @@ "stack": true }, "nuid": "62243296-4562-4f06-90ac-d7a609f19c16", - "origId": 1067496318336721, + "origId": 1067496318336776, "title": "App View", "version": "DashboardViewV1", "width": 1920