An interactive Spark Shell provides a read-execute-print process for running Spark commands one at a time and seeing the results.
When starting your notebook, choose the built-in Glue PySpark and Ray or Glue Spark kernel. This automatically starts an interactive, serverless Spark session. You do not need to provision or manage any compute cluster or infrastructure. After initialization, you can explore and interact with ...
Note This Python code sample uses pyspark.pandas. Only the Spark runtime version 3.2 or later supports this.The Azure Machine Learning datastores can access data using Azure storage account credentialsaccess key SAS token service principalor
For Studio users, select a Glue Spark or Glue Python [PySpark and Ray] kernel (optional) Use Jupyter magics to customize your environment. For more information about Jupyter magics, see Configure your AWS Glue interactive session in Studio or Studio Classic. Start writing your Spark data processi...
Scriptis is for interactive data analysis with script development(SQL, Pyspark, HiveQL), task submission(Spark, Hive), UDF, function, resource management and intelligent diagnosis. Features Script editor: Support multi-language, auto-completion, syntax highlighting and SQL syntax error-correction. ...
Note This Python code sample uses pyspark.pandas. Only the Spark runtime version 3.2 or later supports this.The Azure Machine Learning datastores can access data using Azure storage account credentialsaccess key SAS token service principalor
This Python code sample uses pyspark.pandas. Only the Spark runtime version 3.2 or later supports this. The Azure Machine Learning datastores can access data using Azure storage account credentials access key SAS token service principal or they use credential-less data access. Depending on ...