I wish to transfer data from ultrawarm Elastic search to s3 in the source region using AWS Glue ETL. I am having difficulty trying to find a documentation on it. Can someone help with me with it.?
You can use a custom connection type custom.spark and then set the configuration option to OpenSearch that starts with the prefix es. Read more about it and see the example in the documentation here.
Alternatives
If you have the choice it is always better to directly push from the application to S3 instead of getting the data from OpenSearch to S3.
For a full dump use the elasticsearch-dump command to copy the data from your OpenSearch cluster to your AWS S3 bucket.
For the input use your OpenSearch SERVICE_URI.
For the output, choose the Amazon S3 path including the file name that you want for your document.
Related
Can we connect Amazon S3 buckets present in two different regions and migrate CSV Files data into one Particular region Amazon RDS ? I am trying to use AWS Glue.
There are certainly different ways to solve this use case. You can use AWS Glue. You can also write a workflow using AWS Step Functions that can solve this as well. For example, you can write a series of Lambda functions that can read CSV in an Amazon S3 bucket, get the values and then write the values to an Amazon RDS database. Both ways are valid.
See these docs as ref:
https://aws.amazon.com/blogs/big-data/orchestrate-multiple-etl-jobs-using-aws-step-functions-and-aws-lambda/
https://aws.amazon.com/glue/?whats-new-cards.sort-by=item.additionalFields.postDateTime&whats-new-cards.sort-order=desc
Keep in mind however. a workflow is not ideal when your data set is so large, it will timeout the 15 min window that Lambda uses. In this case, you should use AWS Glue.
I wish to transfer data in a database like MySQL[RDS] to S3 using AWS Glue ETL.
I am having difficulty trying to do this the documentation is really not good.
I found this link here on stackoverflow:
Could we use AWS Glue just copy a file from one S3 folder to another S3 folder?
SO based on this link, it seems that Glue does not have an S3 bucket as a data Destination, it may have it as a data Source.
SO, i hope i am wrong on this.
BUT if one makes an ETL tool, one of the first basics on AWS is for it to tranfer data to and from an S3 bucket, the major form of storage on AWS.
So hope someone can help on this.
You can add a Glue connection to your RDS instance and then use the Spark ETL script to write the data to S3.
You'll have to first crawl the database table using Glue Crawler. This will create a table in the Data Catalog which can be used in the job to transfer the data to S3. If you do not wish to perform any transformation, you may directly use the UI steps for autogenerated ETL scripts.
I have also written a blog on how to Migrate Relational Databases to Amazon S3 using AWS Glue. Let me know if it addresses your query.
https://ujjwalbhardwaj.me/post/migrate-relational-databases-to-amazon-s3-using-aws-glue
Have you tried https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-template-copyrdstos3.html?
You can use AWS Data Pipeline - it has standard templates for full as well incrementation copy to s3 from RDS.
I am trying to take sql data stored in a csv file in an s3 bucket and transfer the data to AWS Redshift and automate that process. Would writing etl scripts with lambda/glue be the best way to approach this problem, and if so, how do I get the script/transfer to run periodically? If not, what would be the most optimal way to pipeline data from s3 to Redshift.
Tried using AWS Pipeline but that is not available in my region. I also tried to use the AWS documentation for Lambda and Glue but don't know where to find the exact solution to the problem
All systems (including AWS Data Pipeline) use the Amazon Redshift COPY command to load data from Amazon S3.
Therefore, you could write an AWS Lambda function that connects to Redshift and issues the COPY command. You'll need to include a compatible library (eg psycopg2) to be able to call Redshift.
You can use Amazon CloudWatch Events to call the Lambda function on a regular schedule. Or, you could get fancy and configure Amazon S3 Events so that, when a file is dropped in an S3 bucket, it automatically triggers the Lambda function.
If you don't want to write it yourself, you could search for existing code on the web, including:
The very simply Python-based christianhxc/aws-lambda-redshift-copy: AWS Lambda function that runs the copy command into Redshift
A more fully-featured node-based A Zero-Administration Amazon Redshift Database Loader | AWS Big Data Blog
Does AWS Glue provide ability to move data from S3 bucket to RDS database?
I'm trying to setup serverless app that picks up dynamic data uploaded to S3 and migrates it to RDS.
Glue provides Crawlers service that determines schema.
Glue also provides ETL Jobs, but this seems to be where target source is only another S3 bucket.
Any ideas?
Yes, Glue can send to an RDS datastore. If you are using the job wizard it will give you a target option of "JDBC". If you select JDBC you can setup a connection to your rds instance.
JDBC connection window
RDS option window
Please check below link you will find the solution
Load the data from S3 bucket to RDS Oracle Instance
using AWS Glue
https://youtu.be/rBFfYpHP1PM
Is there a way to get CloudWatch Metrics directly into S3? I don't need logs but ELB Metrics. I would like them logged to S3 on a regular basis (ideally as CSV).
Right now, I'm thinking of writing my own script to do it, but maybe there's there's an automatic way to put it in S3 (or Redshift)?
CloudWatch itself does not have a native export feature that will send data periodically to S3.
As you suggest, you would need to develop a scrip tthat pulls the CloudWatch metrics that you wish to store (in this case ELB metrics) using the AWS CLI and copy those metrics to your S3 bucket on a regular basis.
Using the get-metric-statistics command, the script would get the statistics for the specified metric, and store the data to your S3 bucket
See also Elastic Load Balancing Dimensions and Metrics