WebMay 21, 2024 · This is how I did it by converting the glue dynamic frame to spark dataframe first. Then using the glueContext object and sql method to do the query. spark_dataframe = glue_dynamic_frame.toDF () spark_dataframe.createOrReplaceTempView ("spark_df") glueContext.sql (""" SELECT * FROM spark_df LIMIT 10 """).show () Share. Improve this … http://duoduokou.com/amazon-web-services/50887119817653245314.html
Using data lake frameworks with AWS Glue ETL jobs
WebApr 12, 2024 · Glue catalog is only a aws Hive implementation itself. You create a glue catalog defining a schema, a type of reader, and mappings if required, and then this becomes available for different aws services like glue, athena or redshift-spectrum. The only benefit I see from using glue-catalogs is actually the integration with the different … http://duoduokou.com/aws-glue/17814179521830920841.html how can i get a fake cell phone number
Running SQL Queries with Spark on AWS Glue - Medium
WebFeb 22, 2024 · Create a S3 Bucket on AWS, lets name this glue-serverless-demo for this demo. First, create two folders in your working directory: “input-data” and “output-data”. WebJul 2, 2024 · AWS Well-Architected Framework Concepts AWS Glue AWS Glue. A fully managed extract, transform, and load (ETL) service that you can use to catalog data and load it for analytics. With AWS Glue, you can discover your data, develop scripts to transform sources into targets, and schedule and run ETL jobs in a serverless … WebJan 15, 2024 · When adding a new job with Glue Version 2.0 all you need to do is specify “ --additional-python-modules ” as key in Job Parameters and ” awswrangler ” as value to use data wrangler. AWS Console > AWS Glue > ETL > Jobs > Add job > Security configuration, script libraries, and job parameters (optional) On the next page, choose the ... how many people can deadlift 600