![compare oracle table tool compare oracle table tool](https://ai2-s2-public.s3.amazonaws.com/figures/2017-08-08/d67cc2d8bdbc4568b20229838c60a5a06eb59999/18-Table5-1.png)
This will need a terraform cli to be installed on your machine. DVT has the capability to write the output of data validation into BigQuery tables directly (console output is default).īigQuery output tables need to be created beforehand for this and we can use terraform to create them easily.
![compare oracle table tool compare oracle table tool](https://dataedo.com/asset/img/kb/db-tools/oracle_sql_developer/oracle_sql_developer_find_columns.png)
DVT natively supports BigQuery and Spanner connections with Google Cloud SDK installed.
Compare oracle table tool install#
To install and run a data validation tool (DVT), we need a machine with python 3.6+, pip, gcc installed.
Compare oracle table tool how to#
In this blog, we will see how to set up the Data Validation Tool to compare data between Oracle and Spanner tables and create validation reports in BigQuery. DVT can connect to different types of source and target databases and create validation reports based on the criteria defined. One tool that helps simplify the data validation process is the Data Validation Tool (DVT).ĭata Validation Tool is an open sourced python CLI based tool that compares heterogeneous data source tables and provides multi-level validation functions.
![compare oracle table tool compare oracle table tool](https://www.it2051229.com/data_solutions/createoratables/screenshot1.png)
Migration of Oracle to Spanner can be addressed using many approaches but one of the most important stages of the migration is Data Validation. The Oracle database is a popular RDBMS in the database industry, but for a highly scalable environments we see customers choosing to leverage Cloud Spanner with its multi-region, unlimited scalability and up to 99.999% availability.