From d5ca07afa6c849c8423fdb57ab21114e63dc2d29 Mon Sep 17 00:00:00 2001 From: Umachandar Jayachandran Date: Tue, 9 Apr 2019 10:22:04 -0700 Subject: [PATCH] Updated notebook instructions --- .../features/sql-big-data-cluster/spark/README.md | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/samples/features/sql-big-data-cluster/spark/README.md b/samples/features/sql-big-data-cluster/spark/README.md index ef3b622d..945462c0 100644 --- a/samples/features/sql-big-data-cluster/spark/README.md +++ b/samples/features/sql-big-data-cluster/spark/README.md @@ -2,6 +2,12 @@ The new built-in notebooks in Azure Data Studio enables data scientists and data engineers to run Python, R, or Scala code against the cluster. +## Instructions to open a notebook from Azure Data Studio + +1. Connect to the SQL Server Master instance in a big data cluster + +1. Right-click on the server name, select **Manage**, switch to **SQL Server Big Data Cluster** tab, and use open Notebook + ## __[dataloading](dataloading/)__ This folder contains samples that show how to load data using Spark. @@ -10,10 +16,8 @@ This folder contains samples that show how to load data using Spark. ## Instructions -1. Download and save the notebook file [dataloading/transform-csv-files.ipynb](dataloading/transform-csv-files.ipynb/) locally. +1. Download and save the notebook file [dataloading/transnform-csv-files.ipynb](dataloading/transform-csv-files.ipynb/) locally. -1. Open the notebook file in Azure Data Studio (right click on the SQL Server big data cluster server name-> **Manage**-> Open Notebook. +1. Open the notebook in Azure Data Studio, wait for the “Kernel” and the target context (“Attach to”) to be populated. Set the “Kernel” to **PySpark3** and **Attach to** needs to be the IP address of your big data cluster endpoint. -1. Wait for the “Kernel” and the target context (“Attach to”) to be populated. Set the “Kernel” to **PySpark3** and “Attach to” needs to be the IP address of your big data cluster endpoint. - -1. Run each cell in the Notebook sequentially using Azure Data Studio. \ No newline at end of file +1. Run each cell in the Notebook sequentially. \ No newline at end of file