Oracle to sql query converter

Active 1 year, 4 months ago. Viewed times. Improve this question. Vijay Anand Pandian. I don't know Spark SQL. So, I wonder what you tried - since I was able to find everything you need in less than a minute, without knowing Spark SQL. Please add what you attempted to your question, and an explanation of how your attempt failed. Add a comment. Active Oldest Votes. This looks the same with the given datetime format.

Improve this answer. Lamanus Lamanus Hi lamanus my question is to convert the oracle date functions to spark SQL equivalent functions. Stack Overflow for Teams — Collaborate and share knowledge with a private group. Create a free Team What is Teams?

Collectives on Stack Overflow. Learn more. Asked 2 years, 1 month ago. Active 2 years, 1 month ago. Viewed 68 times. I am stopped at the following error ORA missing left parenthesis Improve this question.

Add a comment. Active Oldest Votes. As I have commented, there is issue with all case statements. Migration involves two steps: publishing the schema and migrating the database. Publish the schema.

Migrate the data. On the Oracle Metadata Explorer pane, right-click the schema or object you want to migrate, and then select Migrate Data. Alternatively, you can select the Migrate Data tab at the upper right.

To migrate data for an entire database, select the check box next to the database name. To migrate data from individual tables, expand the database, expand Tables , and then select the check box next to the table. To omit data from individual tables, clear the check box. To learn more, see:. After you've successfully completed the migration stage, you need to complete a series of post-migration tasks to ensure that everything is functioning as smoothly and efficiently as possible.

Accomplishing this will in some cases require changes to the applications. The toolkit gives you a single-pane view of the items to be addressed to support the new database back end.

To learn more, see the Migrate our Java application from Oracle blog. Develop validation tests : To test the database migration, you need to use SQL queries. You must create the validation queries to run against both the source and target databases. Your validation queries should cover the scope you've defined. Set up a test environment : The test environment should contain a copy of the source database and the target database.

Be sure to isolate the test environment. Run validation tests : Run validation tests against the source and the target, and then analyze the results. Run performance tests : Run performance tests against the source and the target, and then analyze and compare the results. The post-migration phase is crucial for reconciling any data accuracy issues, verifying completeness, and addressing performance issues with the workload.

For more information about these issues and the steps to mitigate them, see the Post-migration validation and optimization guide. For more assistance with completing this migration scenario, see the following resources. They were developed in support of a real-world migration project engagement. This team's core charter is to unblock and accelerate complex modernization for data platform migration projects to Microsoft's Azure data platform.

After the migration, review the Post-migration validation and optimization guide. For a matrix of Microsoft and third-party services and tools that are available to assist you with various database and data migration scenarios and specialty tasks, see Services and tools for data migration. For other migration guides, see Azure Database Migration Guide. For migration videos, see Overview of the migration journey.

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