Importing CSV files from S3 into Redshift with AWS Glue

[@joshvanathan1000]

Clear explanation from the scratch 😉😁 . Thank you !!

[@RaushanKumar_nitks]

Great Explanation from Scratch. Thanks you very much !!!

[@illiprontimusic9764]

Geez.... Thanks, it works. Although this is complicated as hell. Using Azure ADF, this video would be 10 mins max... it is WAY easier!

[@Leonquenix]

This helped a lot, my friend. Thank you very much!

[@anandd3081]

Thank you Sir...Very useful video, tried implementing myself today..however facing issue when 'testing the connection' to redshift - it prompts "myRedshiftConnection failed. VPC S3 endpoint validation failed for SubnetId nnnnnnnn VPC: vpc-1234abcd21. Reason: Could not find S3 endpoint or NAT gateway for subnetId: subnet-1234abcd13 in Vpc vpc-1234abcd1 .

[@SunilBholaTrader]

create endpoint in vpc for s3

[@keshavamugulursrinivasiyen5502]

@@SunilBholaTrader Even i got the same error, however i created the end point for S3 (interface as well as gateway), still the same error. any Suggestions would be appreciate.

[@SunilBholaTrader]

@@keshavamugulursrinivasiyen5502 create self referencing security group

[@keshavamugulursrinivasiyen5502]

@@SunilBholaTrader thanks will try and let you know

[@keshavamugulursrinivasiyen5502]

@sunil Bhola, got it, i tried and it is working fine

[@anandd3081]

Just amazing...! Cant put more words about this wonderful video..pls keep adding more videos...thank you Sir.

[@qs6190]

Thank you ! Very nice and concise !

[@Majesticcloud]

Glad it was helpful!

[@misatran1107]

Hello Mr..thank for your video...hmm...I wonder why I should create crawler from redshift to a db.... I think create a job to transfer from s3 to redshift is enough

[@keshavamugulursrinivasiyen5502]

@Majesticcloud Can you /anyone help to load the Date type (input file = MM/DD/YYYY) column into redshift using GLUE. I mean how to update in GLUE script. Appreciate your help

[@vigneshjaisankar7087]

Thanks for the content. I'm new to AWS, If you clarify this questions that would be more helpful. From my understanding S3 is source, redshift is target first we have to create a table in redshift second we read the data from s3 and create a datastore in glue third we read the schema from redshift and create a datastore then we are creating a job to connect the s3datastore and redshift to move the data from s3 to redshift when we run the job the data get copied from s3 to redshift connection is used to connect with redshift cluster to run the job. Is my understanding corrent?

[@manojkumarchallagund]

Hi, could you tell me how do we take the Glue to job to the higher environment? For Example, taking an export copy of a job from the Development environment to SIT environment ? is there any option for that?

[@johnfromireland7551]

Advice for Majestic Cloud : Pause your screen recorder earlier in the video while your are waiting for services provisioning to occur.Apart from that you flashed through the various screens and it is far too tiny to see.

[@Majesticcloud]

Thank you for the advice. I will take it in consideration for future videos and when I will do a remake for this one.

[@sabanaar]

Thanks a lot, very clear and useful explanations !!!

[@crescentbabu7855]

Great tutorial

[@Majesticcloud]

Glad you think so!

[@vsr1727]

Thank you 👍🙏👌

[@tusharmayekar9072]

How we can encode column also select dist key or sort key. Could you please share video on it? This is very nice explaination. Thanks

[@priyankasuneja4781]

share example where loading from csv to database but when there is change in existing record then update and if new record insert.job bookmarks just insert incase of updates too...we want to update the existing record

[@SunilBholaTrader]

database dont have feature for update bookmark.. but files have

[@keshavamugulursrinivasiyen5502]

Is it possible to execute this scenario in Free Tier account?

[@makrantim]

if CSV file has integer , is that handled by the glue and redshift as I get error. Thanks. Video example has double

[@SunilBholaTrader]

you have the option to modify the schema.. that why data cleanse comes first - before load

[@tarvinder91]

this is amazing. you explained why are we using such setup too. Great job

[@KhangNguyen-iz9pb]

Thanks for the helpful video! I am wondering wheter we make the job to store to redshift without the crawler to redshift before?

[@SunilBholaTrader]

crawler is to populate glue catalog with table metadata.. job do all ETL stuff

[@user-ix1ob1hr1b]

Hi, do you need to have the target table created in Redshift before creating the job?

[@BabAcademy]

yea most likely

[@SunilBholaTrader]

job can create table or if table exists - on "target" screen choose that

[@vamsikrishna4691]

Good explanation, very clear ... Thank You!!

[@MrLangam]

Thank you kind sir.

[@v1ct0rx24]

how about from dynamodb to s3? pls help

[@adityanjsg99]

To the point!! No nonsense

[@karennatally8409]

thank you soo much!

[@FP-mg5qk]

Is it possible to do this but with DynamoDB instead of Redshift?

[@SunilBholaTrader]

any thing with odbc/jdbc and many other options

[@mujtabahussain2293]

Very useful. thanks a lot

[@piyushsonigra1979]

How to rewrite existing or glue only take incremental data from s3 file ? no luck with bookmark

[@Majesticcloud]

Could you explain a bit more in detail what you're trying to accomplish ? I'm not sure I understood the question exactly.

[@priyankasuneja4781]

hey piyush..what approach did u used to accomplish the upsert task

[@vijayravi1189]

@@priyankasuneja4781 First create a staging table in Redshift with the same schema as the original table, but with no data. Then copy the data present in S3 into the staging table. Delete the common rows present in both staging and original table (say, you might be pulling data from the past 2 weeks). Then insert the data from staging table into original table. Now you will see extra new rows in the original table. This is a classic case of leveraging transaction capability in Redshift. merge_qry = """ begin ; copy mysql_dwh_staging.orders from 's3://mysql-dwh-52820/current/orders.csv' iam_role 'arn:aws:I am:::role/redshift-test-role' CSV QUOTE '\"' DELIMITER ',' acceptinvchars; delete from mysql_dwh.orders using mysql_dwh_staging.orders where mysql_dwh.orders.order_id = mysql_dwh_staging.orders.order_id ; insert into mysql_dwh.orders select * from mysql_dwh_staging.orders; truncate table mysql_dwh_staging.orders; end ; """ result = db.query(merge_qry)

[@SunilBholaTrader]

stage table in redshift .. populate it and then update main table

[@timothyzee6592]

can i use MS mySQL to load the data base to AWS?

[@SunilBholaTrader]

export mysql to file and upload to s3

[@advaitz]

How to create glue workflow without console.

[@SunilBholaTrader]

glue workflow GUI is there.. else use SDK

[@jigri_pokhri]

Legend

[@dalwindersingh5902]

LOOKS CONFUSING and WRONG - why at the end you are showing data from taxable_csv table ( because etl job job setting shows taxable_csv is the source ), target is productdb_public_taxables_csv..... you should show target data productdb_public_taxables_csv....i dont understand the role of productdb_public_taxables_csv.