Integrating SAP HANA Data Lake to Google Big Query – DL2BQ

Hi All ,

Note: I was/am exploring the different kind of integration possibilities under the cloud & how can we provide the max automation in this Area hence this is a small piece of work I am presenting now & will keep exploring. Thanks.

I am writing this blogpost to share the new developed python library which is going to help us in migrating data from SAP HANA Data Lake to Big query , I am working on this problem since long that how we can establish a very smooth integration between HANA Data Lake & Big Query , but I am done now with the development & first release is ready for installation & also added my code in GitRepo.

Python Library hdltobq – https://pypi.org/project/hdltobq/

Source code – https://github.com/shivamshukla12/dl2bq

A Simple Architecture:

Pre-requisites: You must have your btp trial account up and running & data lake instance should also be running & have your credentials also ready for an open database connectivity

You should also have your gcp trial account ready – & make sure you have downloaded the gcp credentials in json format locally in your system.

Mainly both the cloud accounts should be up and running.

Data Lake Instance:

GCP Instance & Big Query:

• Now go to your python prompt and install the library

pip install hdltobq

• If installation is successful then you will be able to import it

  import hdltobq​

• After Installation try these imports if that’s fine then all good to go

  ##Import below libraries...
  
  import hdltobq
  from hdltobq.hdltobq import BQConnect​

• Methods for connecting to GCP BQ, Creating tables, Creating datasets & transporting contents

  Sample Inputs
  ###You should have your project & credentials ready for migrating data from Data Lake to BQ
  bq_dataset     = 'bigquery-public-data:hacker_news'    ## Your BQ Dataset if created else create one
  bq_project     = 'igneous-study-316208'             ### This is Mandatory
  bq_credentials = r'C:\Users\ABC\Downloads\igneous-study-316208-d66aebfd83ea.json' ##Mandt
  
  ##Initialize BQ
  bq =  BQConnect(bq_dataset,bq_project,bq_credentials)
  
  ##Initialize BQ
  bq =  BQConnect(bq_dataset,bq_project,bq_credentials)
  
  bq_client, bq_ds = BQConnect.connect2bq(bq)​

• Create Dataset

  ###Create new Dataset for your tables first.
  lv_ab = BQConnect.create_dataset(bq_client,'HANADL')
  
  Output
  Creating DataSet.....
  Created.. Thanks

• Create Table 

• ### Create table ...
  BQConnect.create_tab(bq_client, df, 'HOTEL')
  
  Ouput:
  Started Creating table.....
  igneous-study-316208.HANADL.HOTEL
  Preparing Schema...
  Ready.....
  CRITICAL:root:Dataset igneous-study-316208.HANADL.HOTEL already exists, not creating.

• Finally to transport data to BQ

  ####Command for BQ Insert
  df.to_gbq('HANADL.HOTEL',project_id=bq_client.project,if_exists='append')

          Data Preview from Data Lake

        GCP BQ Output

• So here we come to an end where we have successfully transferred data from SAP HANA Data Lake to Big Query , Probably we will see the transfer from Big Query to SAP HANA Data Lake in next post – till then take care & Keep learning.

 PS :Finally I am adding a small demo video of my work . thanks

PS: Please don’t forget to share your valuable feedback or any use case in mind for implementation or try.