You can deal with these conversions in different ways. Round(ROWNUM * ROWNUM * ROWNUM / ( ROWNUM * 0.33 ), 10) ROWNUM * ROWNUM / ( ROWNUM * ROWNUM * ROWNUM * ROWNUM ), We need an Oracle database to create a sample table and populate it with the necessary data: Prerequisitesīefore we go through how to change data types, we create a sample table with all the NUMBER data types in Oracle. For example, if you use the column to store money, make sure you convert it to NUMERIC in PostgreSQL to avoid arithmetic inaccuracies.Īfter you determine what the target database is, the next step is to apply those changes to the target database or change the target database’s data type accordingly. However, choosing DOUBLE PRECISION depends on the type of data you store. The first row of the preceding table is when the table is empty on Oracle. With the NUMBER data type without precision and scale in Oracle, we can refer to the following decision matrix based on underlying dataset stored. The following table summarizes how to determine the target database’s ideal data type for performance and storage gain. One of the analysis methods from the previous post is metadata-based data type conversion, where Oracle catalog tables are queried to find the precision and scale for the current NUMBER data type columns. In this post, we discuss how to perform data type mapping for the Oracle NUMBER column using SQL queries and the AWS Schema Conversion Tool (AWS SCT) to change the data types in the target PostgreSQL instance. In the first post, we cover two analysis methods to determine the ideal data type column in PostgreSQL (INT, BIGINT, DOUBLE PRECISION, NUMERIC) depending on how the NUMBER data type is defined in the Oracle database and what values are stored in the columns’ data. For more information about the migration process, see Database Migration-What Do You Need to Know Before You Start? and the following posts on best practices, including the migration process and infrastructure considerations, source database considerations, and target database considerations for the PostgreSQL environment. An Oracle to PostgreSQL migration in the AWS Cloud can be a multistage process with different technologies and skills involved, starting from the assessment stage to the cutover stage.
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