From 7236a626abc3961a3f6e08dd88c94f5db20069e2 Mon Sep 17 00:00:00 2001 From: Umachandar Jayachandran Date: Mon, 8 Apr 2019 17:14:33 -0700 Subject: [PATCH] Renamed spark sql sample file --- samples/features/sql-big-data-cluster/README.md | 2 +- samples/features/sql-big-data-cluster/spark/README.md | 8 +++++++- .../{spark-sql.ipynb => transform-csv-files.ipynb} | 0 3 files changed, 8 insertions(+), 2 deletions(-) rename samples/features/sql-big-data-cluster/spark/dataloading/{spark-sql.ipynb => transform-csv-files.ipynb} (100%) diff --git a/samples/features/sql-big-data-cluster/README.md b/samples/features/sql-big-data-cluster/README.md index 5331001b..2fd3c152 100644 --- a/samples/features/sql-big-data-cluster/README.md +++ b/samples/features/sql-big-data-cluster/README.md @@ -9,7 +9,7 @@ Installation instructions for SQL Server 2019 big data clusters can be found [he ## Executing the sample scripts The scripts should be executed in a specific order to test the various features. Execute the scripts from each folder in below order: -1. __[spark](spark/)__ +1. __[spark/dataloading/transform-csv-files.sql](spark/dataloading/transform-csv-files.sql)__ 1. __[data-virtualization/storage-pool](data-virtualization/storage-pool)__ 1. __[data-virtualization/oracle](data-virtualization/oracle)__ 1. __[data-pool](data-pool/)__ diff --git a/samples/features/sql-big-data-cluster/spark/README.md b/samples/features/sql-big-data-cluster/spark/README.md index 47086996..ef3b622d 100644 --- a/samples/features/sql-big-data-cluster/spark/README.md +++ b/samples/features/sql-big-data-cluster/spark/README.md @@ -2,9 +2,15 @@ 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. +## __[dataloading](dataloading/)__ + +This folder contains samples that show how to load data using Spark. + +[dataloading/transform-csv-files.ipynb](dataloading/transform-csv-files.ipynb/) + ## Instructions -1. Download and save the notebook file [spark-sql.ipynb](spark-sql.ipynb/) locally. +1. Download and save the notebook file [dataloading/transform-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. diff --git a/samples/features/sql-big-data-cluster/spark/dataloading/spark-sql.ipynb b/samples/features/sql-big-data-cluster/spark/dataloading/transform-csv-files.ipynb similarity index 100% rename from samples/features/sql-big-data-cluster/spark/dataloading/spark-sql.ipynb rename to samples/features/sql-big-data-cluster/spark/dataloading/transform-csv-files.ipynb