Upsert Records To Amazon Redshift - AWS SDK for Pandas

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DataEng Uncomplicated

DataEng Uncomplicated

Күн бұрын

This is a step-by-step tutorial on performing an upsert on a pandas data frame to an Amazon Redshift table. This tutorial explains what methods we can use to achieve this and provides a real-world example with sample data.
Related Redshift tutorials:
Add Redshift Data Source In AWS Glue Catalog - • Add Redshift Data Sour...
AWS Glue PySpark:Insert records into Amazon Redshift Table - • AWS Glue PySpark:Inser...
Code Link - github.com/AdrianoNicolucci/d...
timeline:
00:00 Introduction
01:48 Create Redshift Connection
03:04 Read updated data from S3
03:48 redshift.to_sql method
05:59 redshift.copy method
07:14 precombine key parameter
#aws #awsdatawrangler

Пікірлер: 2
@rahuldbzwarrior
@rahuldbzwarrior 10 ай бұрын
Hi, I used the copy command for upserting data for >1k rows as you mentioned but sometimes my lambda fails because the temp parquet file is not getting deleted in the temp path and next run says error as "temp path is not empty". Can you help?
@DataEngUncomplicated
@DataEngUncomplicated 10 ай бұрын
Hi, yes I have experienced this issue before. Make your temp directory unique to avoid this problem. You can use the python UUID library to generate a unique id for each sub directory.
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