AWS Schema Conversion Tool. User Guide Version 1.0

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1 AWS Schema Conversion Tool User Guide

2 AWS Schema Conversion Tool: User Guide Copyright 2016 Amazon Web Services, Inc. and/or its affiliates. All rights reserved. Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon.

3 Table of Contents What Is the AWS Schema Conversion Tool?... 1 Converting Your Schema... 2 The AWS Schema Conversion Tool Project Window... 3 Related Topics... 4 Installing and Updating... 5 Installing the AWS Schema Conversion Tool on Windows... 5 Installing the AWS Schema Conversion Tool on Mac OS X... 6 Installing the AWS Schema Conversion Tool on Ubuntu Linux... 6 Installing the AWS Schema Conversion Tool on Fedora Linux... 6 Updating the AWS Schema Conversion Tool... 7 Required Database Drivers... 7 Installing JDBC Drivers on Linux... 7 Update Global Settings... 8 Related Topics... 9 Getting Started Before You Begin Create an AWS Schema Conversion Tool Project View the Schema from Your Source Database Create the Schema Clear the Schema Update Your Source Schema Overwrite the Schema Create the Database Migration Assessment Report Apply the Schema to the DB Instance Related Topics Converting Schema Create a Project The Assessment Report To Create the Database Migration Assessment Report Converting Your Schema Clearing a Schema Updating and Refreshing Your Schema Saving and Applying Your Schema Saving Your Schema to a File Applying Your Schema Related Topics Best Practices Memory Management and Performance Related Topics Reference Related Topics Oracle to MySQL Supported Schema Conversion Statements Procedures Flow Control Packages Functions Operators Data Types Data Definition Language (DDL) Cursors Hints Exceptions Related Topics SQL Server to MySQL Supported Schema Conversion iii

4 Statements Procedures Flow Control Functions Operators Transactions Data Types Data Definition Language (DDL) Cursors Related Topics Keyboard Shortcuts Related Topics Troubleshooting Cannot load objects from Oracle source database Related Topics Document History iv

5 What Is the AWS Schema Conversion Tool? The AWS Schema Conversion Tool helps you convert your database schema from an Oracle or Microsoft SQL Server database, to an Amazon Relational Database Service (Amazon RDS) MySQL DB instance, an Amazon Aurora DB cluster, or a PostgreSQL DB instance. The AWS Schema Conversion Tool can be run on a Microsoft Windows, Mac, or Linux desktop and provides a project-based user interface to automatically convert the database schema of your source database into a format compatible with your target Amazon RDS instance. In the case where schema from your source database cannot be automatically converted, the AWS Schema Conversion Tool provides guidance on how you can create equivalent schema in your target Amazon RDS database. 1

6 Converting Your Schema Converting Your Schema The process of converting your database schema to Amazon RDS follows these steps: 1. Create your target DB instance Create the Amazon RDS for MySQL DB instance, Amazon Aurora DB cluster, or PostgreSQL DB instance to host your converted schema and data. For a MySQL or PostgreSQL DB instance, be sure to allocate enough storage for your data once converted. 2. Create a new AWS Schema Conversion Tool project Create a project to convert your database schema. 3. Connect the AWS Schema Conversion Tool to your source and target Connect your AWS Schema Conversion Tool project to your source database and your Amazon RDS DB instance. 4. Create a database migration assessment report The AWS Schema Conversion Tool creates a database migration assessment report that details the schema elements that cannot be converted automatically. You can use this report to identify where you need to create schema in your Amazon RDS DB instance that is compatible with those of your source database. In some cases when the schema from your source database cannot be automatically converted, you can modify those schema in your source database into a format that can be automatically converted 2

7 The AWS Schema Conversion Tool Project Window to the database engine for your target DB instance. After you have modified the schema from your source database and verified that it is compatible with your application, refresh the metadata in your AWS Schema Conversion Tool project with the updated schema information, and then convert the schema again and create a new database migration assessment report. 5. Convert your schema The AWS Schema Conversion Tool creates a local version of the converted schema for you to review, but it doesn't apply that version to your target DB instance until you are ready. 6. Apply the converted schema to Amazon RDS When you are ready, have the AWS Schema Conversion Tool apply the converted schema in your local project to your Amazon RDS DB instance. 7. Create any schema elements that cannot be automatically converted If you have schema elements that couldn't be automatically converted to your target database engine, create equivalent schema elements in your target Amazon RDS DB instance. Caution Once you manually add schema elements for items that couldn't be automatically converted to your target DB instance, take care if you plan to rewrite the converted schema from the AWS Schema Conversion Tool to your target DB instance. Rewriting the converted schema overwrites the schema in your target DB instance, and any schema elements that you have manually added are lost. You might want to save your manual work before rewriting the converted schema, or you might want to avoid rewriting the converted schema and update the schema in your target DB instance using a different method. For details, see Converting a Database Schema to Amazon RDS Using the AWS Schema Conversion Tool (p. 28). The AWS Schema Conversion Tool Project Window The following is what you see in the AWS Schema Conversion Tool when you create a schema migration project. 3

8 Related Topics 1. In the left panel, the schema from your source database is presented in a tree view. Your database schema is "lazy loaded." That is, at the point when you select an item from the tree view, the AWS Schema Conversion Tool gets and displays the current schema from your source database. 2. In the top middle panel, action items appear for schema elements from the source database engine that couldn't be automatically converted to the target database engine. 3. In the right panel, the schema from your target DB instance is presented in a tree view.your database schema is "lazy loaded." That is, at the point when you select an item from the tree view, the AWS Schema Conversion Tool gets and displays the current schema from your target database. 4. In the lower left panel, when you choose a schema element, properties describing the source schema element and the SQL command to create that element in the source database are displayed. 5. In the lower right panel, when you choose a schema element, properties describing the target schema element and the SQL command to create that element in the target database are displayed here. Related Topics Installing and Updating the AWS Schema Conversion Tool (p. 5) Getting Started with the AWS Schema Conversion Tool (p. 10) 4

9 Installing the AWS Schema Conversion Tool on Windows Installing and Updating the AWS Schema Conversion Tool The AWS Schema Conversion Tool is available for the following operating systems: Microsoft Windows (download) Mac OS X (download) Ubuntu Linux (download) Fedora Linux (download) The AWS Schema Conversion Tool also installs the Java Runtime Environment (JRE) version 8u45. Topics Important After you install the AWS Schema Conversion Tool, you must also install the required JDBC drivers to connect to your source database and target Amazon Relational Database Service (Amazon RDS) DB instance. For details, see Required Database Drivers (p. 7). Installing the AWS Schema Conversion Tool on Windows (p. 5) Installing the AWS Schema Conversion Tool on Mac OS X (p. 6) Installing the AWS Schema Conversion Tool on Ubuntu Linux (p. 6) Installing the AWS Schema Conversion Tool on Fedora Linux (p. 6) Updating the AWS Schema Conversion Tool (p. 7) Required Database Drivers (p. 7) Related Topics (p. 9) Installing the AWS Schema Conversion Tool on Windows To install the AWS Schema Conversion Tool on Microsoft Windows 1. Download aws-schema-conversion-tool-1.0.latest.zip for Windows, and then extract AWS Schema Conversion Tool-1.0.msi. 5

10 Installing the AWS Schema Conversion Tool on Mac OS X 2. Run the AWS Schema Conversion Tool-1.0.msi installer. By default, the AWS Schema Conversion Tool is installed in the c:\program Files\AWS Schema Conversion Tool folder. 3. When the installation is complete, you can run the AWS Schema Conversion Tool application. Install the required JDBC drivers for your source database engine and target DB instance database engine, if needed, and set the paths to the JDBC drivers in the global settings of the AWS Schema Conversion Tool. For details, see Required Database Drivers (p. 7). Installing the AWS Schema Conversion Tool on Mac OS X To install the AWS Schema Conversion Tool on Mac OS X 1. Download aws-schema-conversion-tool-1.0.latest.zip for Mac OS X, and then extract AWS Schema Conversion Tool-1.0.dmg. 2. In Finder, open AWS Schema Conversion Tool-1.0.dmg. 3. Drag AWS Schema Conversion Tool-1.0.dmg to the Applications folder. 4. When the installation is complete, you can run the AWS Schema Conversion Tool application. Install the required JDBC drivers for your source database engine and target DB instance database engine, if needed, and set the paths to the JDBC drivers in the global settings of the AWS Schema Conversion Tool. For details, see Required Database Drivers (p. 7). Installing the AWS Schema Conversion Tool on Ubuntu Linux Important The AWS Schema conversion tool is supported on Ubuntu Linux version (64-bit). To install the AWS Schema Conversion Tool on Ubuntu Linux 1. Download aws-schema-conversion-tool-1.0.latest.zip for Ubuntu, and then extract aws-schema-conversion-tool-1.0.deb. 2. Run the following command where file-path is the folder that you downloaded the file to: sudo dpkg -i file-path/aws-schema-conversion-tool-1.0.deb 3. When the installation is complete, you can run the AWS Schema Conversion Tool application. Install the required JDBC drivers for your source database engine and target DB instance database engine, if needed, and set the paths to the JDBC drivers in the global settings of the AWS Schema Conversion Tool. For details, see Required Database Drivers (p. 7). Installing the AWS Schema Conversion Tool on Fedora Linux Important The AWS Schema conversion tool is supported on Fedora Linux version 22 (64-bit). 6

11 Updating the AWS Schema Conversion Tool To install the AWS Schema Conversion Tool on Fedora Linux 1. Download aws-schema-conversion-tool-1.0.latest.zip for Fedora, and then extract aws-schema-conversion-tool x86_64.rpm. 2. Run the following command, where file-path is the folder that you downloaded the file to: sudo yum install file-path/aws-schema-conversion-tool x86_64.rpm 3. When the installation is complete, you can run the AWS Schema Conversion Tool application. Install the required JDBC drivers for your source database engine and target DB instance database engine, if needed, and set the paths to the JDBC drivers in the global settings of the AWS Schema Conversion Tool. For details, see Required Database Drivers (p. 7). Updating the AWS Schema Conversion Tool To check whether new version of the AWS Schema Conversion Tool is available, choose Help -> Check for Updates. If there is a newer version of the AWS Schema Conversion Tool than the version that you have installed, you will be prompted to download and install the updated version. Required Database Drivers You must have the required JDBC drivers installed for the AWS Schema Conversion Tool to connect to your source database or target RDS DB instance. You can download the latest database drivers from the following locations. Database Engine PostgreSQL Oracle Microsoft SQL Server Download https://www.mysql.com/products/connector/ https://jdbc.postgresql.org/download.html MySQL or Amazon Aurora https://www.microsoft.com/en-us/download/details.aspx?displaylang=en&id=11774 Installing JDBC Drivers on Linux You can use the following steps to install the JDBC drivers on your Linux system for use with the AWS Schema Conversion Tool. To install JDBC drivers on your Linux system 1. Create a directory to store the JDBC drivers in. PROMPT>sudo mkdir p /usr/local/jdbc-drivers 2. Install the JDBC driver for your database engine using the commands shown following. 7

12 Update Global Settings Database Engine MySQL or Amazon Aurora Installation Commands PROMPT> cd /usr/local/jdbc-drivers PROMPT> sudo tar xzvf /tmp/mysql-connector-java- X.X.X.tar.gz PostgreSQL PROMPT> cd /usr/local/jdbc-drivers PROMPT> sudo cp -a /tmp/postgresql-x.x.x.jre7.tar. Oracle PROMPT> cd /usr/local/jdbc-drivers PROMPT> sudo mkdir oracle-jdbc PROMPT> cd oracle-jdbc PROMPT> sudo cp -a /tmp/ojdbc7.jar. Microsoft SQL Server PROMPT> cd /usr/local/jdbc-drivers PROMPT> sudo tar xzvf /tmp/sqljdbc_x.x.x_enu.tar.gz Update Global Settings After you have downloaded and installed the required JDBC drivers, you must update the settings in the AWS Schema Conversion Tool with the driver file locations. To update the driver file locations 1. In the AWS Schema Conversion Tool, choose Settings, and then choose Global settings. 2. For Global settings, choose Drivers. Add the file path to the JDBC driver for your source database engine and your target RDS DB instance database engine. 8

13 Related Topics 3. Choose OK to exit the Global Settings window. Related Topics What Is the AWS Schema Conversion Tool? (p. 1) Getting Started with the AWS Schema Conversion Tool (p. 10) 9

14 Before You Begin Getting Started with the AWS Schema Conversion Tool This topic walks you through how to create an AWS Schema Conversion Tool project and convert the schema from your source database to your target Amazon Relational Database Service (Amazon RDS) DB instance. Before You Begin Before you perform the tasks described in this topic, you must first have completed the following: Install the AWS Schema Conversion Tool. For more information, see Installing and Updating the AWS Schema Conversion Tool (p. 5). Identify the connection information for your source database. Create your target Amazon RDS DB instance (if needed) and identify the connection information for your target DB instance. For more information, see Connecting to a DB Instance Running the MySQL Database Engine, Connecting to an Amazon Aurora DB Cluster, or Connecting to a DB Instance Running the PostgreSQL Database Engine. Create an AWS Schema Conversion Tool Project The first time that open the AWS Schema Conversion Tool you automatically begin creating a database migration project using the Create New Database Migration Project wizard. You can create additional projects using the Create New Database Migration Project wizard by choosing the File menu, and then choosing the New Project Wizard option. Optionally, you can create a project without the Create New Database Migration Project wizard by choosing the File menu, and then choosing the New Project option. For more information, see Creating an AWS Schema Conversion Tool Project (p. 29). Follow these steps to create your first data migration project using the Create New Database Migration Project wizard. 10

15 Create an AWS Schema Conversion Tool Project Select your source database 1. Add your local project settings and the information to connect to your source database in the first step of the wizard: te You cannot connect to an Oracle database using Transparent Network Substrate (TNS) names. Project Name: A name for your project, which is stored locally on your computer. Location: The file location for your local project file. Source DB Engine: The database engine for your source database. This value can be Oracle for an Oracle database or SQL Server for a Microsoft SQL Server database. Server Name: The DNS name or IP address of your source database server. Server Port: The port used to connect to your source database server. Instance name/oracle SID: For Microsoft SQL Server, this value is the instance name. You can obtain the instance name by submitting the following query to your SQL Server database: SELECT For Oracle databases, this value is the Oracle System ID (SID). You can obtain the Oracle SID by submitting the following query to your Oracle database: SELECT sys_context('userenv','instance_name') AS SID FROM dual; Username: The user name used to connect to your source database server. Password: The password for your user name. The AWS Schema Conversion Tool uses this password to connect to your source database only when you choose the Connect to source option. To guard against exposing the password for your source database, the AWS Schema Conversion Tool does not store that password. If you close your AWS Schema Conversion Tool project and reopen it, you are prompted for the password to connect to your source database as needed. You can choose the Test Connection button to verify that your database connection information successfully connects you to your source database. After you have finished adding the project and connection information, choose Next to continue. 11

16 Create an AWS Schema Conversion Tool Project 2. Select the schema from your source database Select the schema from your source database that you want to convert to your target RDS DB instance. After you have selected the schema that you want to convert, choose Next to continue. 12

17 Create an AWS Schema Conversion Tool Project 3. Run the database migration assessment report The database migration assessment report provides important information regarding the conversion of the schema from your source database to your target RDS DB instance. The report summarizes all of the schema conversion tasks and details the action items for schema that cannot be converted to the DB engine of your target DB instance. The report also includes estimates of the amount of effort that it will take to write the equivalent code in your target DB instance that could not be automatically converted. For more information on the database migration assessment report, see Creating and Using the Assessment Report (p. 31). You can save a local copy of the database migration assessment report as either a Portable Document Format (PDF) file, or a Comma-separated Values (CSV) file. This step is optional. You can view the database migration assessment report and save a local copy of it at any time after you have created your project. Choose Next to continue. 13

18 Create an AWS Schema Conversion Tool Project 4. Select your target RDS DB instance Add the information to connect to your target RDS DB instance: Target DB Engine: The database engine for your target DB instance. This value can be MySQL for a MySQL DB instance, Amazon Aurora for an Amazon Aurora DB cluster, or PostgreSQL for a PostgreSQL DB instance. Server Name: The DNS name of your target DB instance. Server Port: The port used to connect to your target DB instance. Username: The user name used to connect to your target DB instance. Password: The password for your user name. The AWS Schema Conversion Tool uses this password to connect to your target DB instance only when you choose the Connect to target option. To guard against exposing the password for your source database, the AWS Schema Conversion Tool does not store that password. If you close your AWS Schema Conversion Tool project and reopen it, you are prompted for the password to connect to your target DB instance as needed. You can choose the Test Connection button to verify that your database connection information successfully connects you to your target RDS DB instance. After you have finished adding your connection information, choose Finish to create your project. 14

19 View the Schema from Your Source Database View the Schema from Your Source Database Your AWS Schema Conversion Tool project displays the schema from your source database in the left panel. The schema is presented in a tree-view format and each node of the tree is "lazy loaded." That is, when you choose a node in the tree view, the AWS Schema Conversion Tool will request the schema information from your source database at that time. 15

20 View the Schema from Your Source Database 16

21 Create the Schema Create the Schema Use the following procedure to create the converted schema. To create the converted schema 1. To go to the main view of your project, choose View, and then Main View. 17

22 Create the Schema 2. In the left panel that displays the schema from your source database, choose a schema object to convert. Open the context (right-click) menu for the object, and choose Convert Schema. When the AWS Schema Conversion Tool finishes converting the schema, you can view the proposed schema in the panel on the right of your project. At this point, no schema is applied to your target RDS DB instance. The planned schema is only part of your project. If you select a converted schema item, you can see the planned schema command in the panel at lower-center for your target RDS DB instance. 18

23 Clear the Schema Clear the Schema Before the AWS Schema Conversion Tool applies the schema to your target RDS DB instance, you can clear the planned schema from your project by opening the context (right-click) menu for the tree-view node for your target DB instance, and then choosing Refresh from Database. Because no schema has been written to your target DB instance, refreshing from the database removes the planned schema elements in your schema conversion tool project to match what exists in your target DB instance. 19

24 Update Your Source Schema Update Your Source Schema You can update your AWS Schema Conversion Tool project with the most recent schema from your source database by opening the context (right-click) menu for the schema item from your source database that you want to update, and then choosing Refresh from Database. Doing this enables you to update your schema conversion tool project if changes have been made to the schema of your source database. 20

25 Overwrite the Schema Overwrite the Schema After you have refreshed the schema from your source database in your project, you can overwrite the converted schema in your project with updated schema. To overwrite a converted schema in your project with an updated schema 1. In the left panel that displays the schema from your source database, choose the schema object to update the converted schema for. 2. Open the context (right-click) menu for the object and choose Convert Schema, as shown following. 21

26 Create the Database Migration Assessment Report 3. A prompt asks you to confirm the action before overwriting the local converted schema, as shown following. Create the Database Migration Assessment Report The New Project Wizard includes a step to create the database migration assessment report, which summarizes all of the action items for schema that cannot be converted to the engine of your target RDS DB instance.the report also includes estimates of the amount of effort that it will take to write the equivalent code in your target DB instance that could not be automatically converted. 22

27 Create the Database Migration Assessment Report You can create an updated database migration assessment report at any time in your project by following these steps. To create the database migration assessment report 1. In the left panel that displays the schema from your source database, choose a schema object to create an assessment report for. Open the context (right-click) menu for the object, and choose Create Report. The assessment report view then opens. To explore the report, choose the Action Items tab. The Action Items tab displays a list of items that describe schema that could not automatically be converted to the database engine of your target RDS DB instance. Select one of the action items from the list. tice that the AWS Schema Conversion Tool highlights the item from your schema that the action item applies to, as shown following. 23

28 Create the Database Migration Assessment Report 2. To view the assessment report summary Select the Summary tab. The Summary tab displays the summary information from the database migration assessment report. It shows the number of items that were automatically converted and the number of items that could not be automatically converted. The summary also includes an estimate of the time that it would take to create schema that is equivalent to your source database in your target DB instance. An example is shown following. 24

29 Create the Database Migration Assessment Report 3. To save the assessment report Step 3 of the Create New Database Migration Project wizard gives you the option to create a local copy of the database migration assessment report. You can choose to save a local copy of the database migration assessment report as either a Portable Document Format (PDF) file, or a Comma-separated Values (CSV) file after you have created your database migration project. Choose the Summary tab, and then choose Save to PDF to create the database migration assessment report as a PDF file and store it locally on your computer. The PDF file contains both the summary and action item information. The CSV file contains only action item information. 25

30 Apply the Schema to the DB Instance Apply the Schema to the DB Instance When you are ready, you can apply the converted database schema to your target RDS DB instance. Once the schema has been applied to your target DB instance, you can update it based on the action items identified in the database migration assessment report. To apply the converted database schema to your target RDS DB instance Caution If you have an existing schema in your DB instance that matches the schema being applied, then the AWS Schema Conversion Tool overwrites the existing schema. This functionality is useful to update the schema in your target DB instance. However, be careful not to overwrite schema unintentionally especially a schema that you have modified in your target DB instance based on a database migration assessment report. 26

31 Related Topics 1. To apply the schema to your target DB instance, choose the schema element in the right panel of your project that displays the planned schema for your target DB instance. 2. Open the context (right-click) menu for the schema element, and choose Apply to database. Related Topics What Is the AWS Schema Conversion Tool? (p. 1) Installing and Updating the AWS Schema Conversion Tool (p. 5) 27

32 Converting a Database Schema to Amazon RDS Using the AWS Schema Conversion Tool The AWS Schema Conversion Tool automates much of the process of converting your database schema from an Oracle or Microsoft SQL Server database to an Amazon Relational Database Service (Amazon RDS) MySQL DB instance, an Amazon Aurora DB cluster, or a PostgreSQL DB instance. Because the Oracle, SQL Server and MySQL database engines (Amazon Aurora is MySQL-compatible) contain many different features and capabilities, the AWS Schema Conversion Tool attempts to create an equivalent schema in your RDS DB instance wherever possible. In cases where there is no direct conversion possible, the AWS Schema Conversion Tool provides a list of action items for you and a database migration assessment report that includes information on the schema elements that couldn't be converted, along with guidance on how you can manually create equivalent schema from your source database in your target DB instance. Topics Creating an AWS Schema Conversion Tool Project (p. 29) Creating and Using the Assessment Report (p. 31) Converting Your Schema (p. 35) Updating and Refreshing Your Schema (p. 40) Saving and Applying Your Schema (p. 41) Related Topics (p. 43) The process of converting your database schema to RDS can be described with the following steps: 1. Create your target DB instance Create the Amazon RDS for MySQL DB instance, Amazon Aurora DB cluster, or PostgreSQL DB instance to host your converted schema and data. For a MySQL or PostgreSQL DB instance, be sure to allocate enough storage for your data once converted. 2. Create a new AWS Schema Conversion Tool project Create a project to convert your database schema. 3. Connect the AWS Schema Conversion Tool to your source and target Connect your AWS Schema Conversion Tool project to your source database and your RDS DB instance. 4. Create a database migration assessment report The AWS Schema Conversion Tool creates a database migration assessment report that details the schema elements that cannot be converted 28

33 Create a Project automatically. You can use this report to identify where you need to create a schema in your RDS DB instance that is compatible with your source database. In some cases when the schema from your source database cannot be automatically converted, you can modify those schema in your source database into a format that can be automatically converted to the database engine for your target DB instance. After you have modified the schema from your source database and verified that it is compatible with your application, refresh the metadata in your AWS Schema Conversion Tool project with the updated schema information, and then convert the schema again and create a new database migration assessment report. 5. Convert your schema The AWS Schema Conversion Tool creates a local version of the converted schema for you to review, but it doesn't apply it to your target DB instance until you are ready. 6. Apply the converted schema to Amazon RDS When you are ready, have the AWS Schema Conversion Tool apply the converted schema in your local project to your RDS DB instance. 7. Create any schema elements that cannot be automatically converted If you have schema elements that couldn't be automatically converted to your target database engine, create equivalent schema elements in your target RDS DB instance. Caution Once you manually add schema elements that could not be automatically converted to your target DB instance, take care if you plan to rewrite the converted schema from the AWS Schema Conversion Tool to your target DB instance. Rewriting the converted schema overwrites the schema in your target DB instance, and any schema elements that you have manually added are lost. You might want to save your manual work before rewriting the converted schema, or you might want to avoid rewriting the converted schema and update the schema in your target DB instance using a different method. Creating an AWS Schema Conversion Tool Project You can use a AWS Schema Conversion Tool project to do the following: Connect to the source database that you will be converting a schema from. Display the schema from your source database in tree-view format. Connect to the target RDS DB instance that you will be converting schema to. Display the schema from your target DB instance in tree-view format. Generate a database migration assessment report that lists the schema items from your source database that couldn't be automatically converted to the equivalent schema for your target DB instance. Convert the schema from your source database to a format compatible with the DB engine of your target DB instance. This converted schema is stored locally until you are ready to apply it to your target DB instance. After you have converted the scheme from your source database, you can view the schema that will be applied to your target DB instance. Apply the converted schema to your target DB instance. The following procedure shows you how to create a database migration project using the New Project option from the File menu.you can also create a new database migration project using the New Project Wizard option from the File menu, which starts the Create New Database Migration Project wizard. For an example, see Getting Started with the AWS Schema Conversion Tool (p. 10). 29

34 Create a Project To create your project and connect to your source and target databases 1. Start the AWS Schema Conversion Tool, and choose New Project on the File menu. Add the following information: Project Name: A name for your project, which is stored locally on your computer. Location: The file location for your local project file. Source: The database engine for your source database. This value can be Oracle for an Oracle database or SQL Server for a Microsoft SQL Server database. Target: The database engine for your target DB instance. This value can be MySQL for a MySQL DB instance, Amazon Aurora for an Amazon Aurora DB cluster, or PostgreSQL for a PostgreSQL DB instance. Choose OK to create your AWS Schema Conversion Tool project. 2. Choose the Connect to source button where source indicates the database engine for your source database. Add the following information: Important You cannot connect to an Oracle database using Transparent Network Substrate (TNS) names. Server Name: The DNS name of your source database server. Server Port: The port used to connect to your source database server. Instance name/oracle SID: For Microsoft SQL Server, this value is the instance name. You can obtain the instance name by submitting the following query to your SQL Server database: SELECT For Oracle databases, this value is the Oracle System ID (SID). You can obtain the Oracle SID by submitting the following query to your Oracle database: SELECT sys_context('userenv','instance_name') AS SID FROM dual; Username: The user name used to connect to your source database server. Password: The password for your user name. The AWS Schema Conversion Tool uses this password to connect to your source database only when you choose the Connect to source option. To guard against exposing the password for your source database, the AWS Schema Conversion Tool does not store that password. If you close your AWS Schema Conversion Tool project and reopen it, you are prompted for the password to connect to your source database as needed. Choose OK to connect to your source database. 3. Choose Connect to target, where target indicates the database engine for your target DB instance. 30

35 The Assessment Report Add the following information: Server Name: The DNS name of your target DB instance. Server Port: The port used to connect to your target DB instance. Username: The user name used to connect to your target DB instance. Password: The password for your user name. The AWS Schema Conversion Tool uses this password to connect to your target DB instance only when you choose the Connect to target option. To guard against exposing the password for your source database, the AWS Schema Conversion Tool does not store that password. If you close your AWS Schema Conversion Tool project and reopen it, you are prompted for the password to connect to your target DB instance as needed. Choose OK to connect to your target DB instance. Creating and Using the Assessment Report The database migration assessment report provides important information regarding the conversion of the schema from your source database to your target RDS DB instance. The report summarizes all of the schema conversion tasks and details the action items for schema that cannot be converted to the DB engine of your target DB instance. The report also includes estimates of the amount of effort that it will take to write the equivalent code in your target DB instance that could not be automatically converted. You can respond to the action items in the assessment report in different ways: Add equivalent schema manually You can write all of the schema that can be automatically converted to your target DB instance by choosing Apply to database in the right panel of your project. The schema that are written to your target DB instance won't contain the items that couldn't be automatically converted. Those items are listed in your database migration assessment report. After applying the schema to your target DB instance, you can then manually create schema in your target DB instance that are equivalent to the source database. In some cases, you cannot create equivalent schema in your target DB instance.you might need to rearchitect a portion of your application and database to use the functionality that is available from the DB engine for your target DB instance. In other cases, you can simply ignore the schema that can't be automatically converted. Caution If you manually create schema in your target DB instance, do not choose the Apply to database option until after you have saved a copy of any manual work that you have done that is, any commands to create schema in your target RDS DB instance that were not automatically created by the AWS Schema Conversion Tool. Applying the schema from your project to your target DB instance overwrites schema of the same name in the target DB instance, and you lose any updates that you added manually. Modify your source database schema and refresh the schema in your project For some items, you might be best served to modify the database schema in your source database to schema that are both compatible with your application architecture, and can also be automatically converted to the DB engine of your target DB instance. After updating the schema in your source database and verifying 31

36 To Create the Database Migration Assessment Report that the updates are compatible with your application, choose Refresh from Database in the left panel of your project to update the schema from your source database. You can then convert your updated schema and generate the database migration assessment report again, and the action item for your updated schema will no longer appear. The advantage to this process is that your updated schema will always be available when you refresh from your source database. To Create the Database Migration Assessment Report 1. In the left panel that displays the schema from your source database, choose a schema object to create an assessment report for. Open the context (right-click) menu for the object, and choose Create Report. After you create the assessment report, the assessment report view opens, showing the Summary tab. The Summary tab displays the summary information from the database migration assessment report. It shows items that were automatically converted and items that could not be automatically converted. For schema items that could not be automatically convered to the target database engine, the summary includes an estimate of the effort that it would take to create schema that is equivalent to your source database in your target DB instance. The report categorizes the estimated time to convert these schema items as follows: Simple actions that can be completed in less than 1 hour. Medium actions that are more complex and can be completed in 1 to 4 hours. 32

37 To Create the Database Migration Assessment Report Significant actions that are very complex and will take more than 4 hours to complete. You can save a local copy of the database migration assessment report as either a Portable Document Format (PDF) file, or a Comma-separated Values (CSV) file. The CSV file contains only action item information. The PDF file contains both the summary and action item information, as shown in the following example. 33

38 To Create the Database Migration Assessment Report The assessment report view also includes an Action Items tab. The AWS Schema Conversion Tool displays a list of items that describe schema that could not automatically be converted to the database engine of your target RDS DB instance. If you select an action item from the list, the AWS Schema Conversion Tool will highlight the item from your schema that the action item applies to. 34

39 Converting Your Schema Converting Your Schema After you have connected your project to both your source database and your target RDS DB instance, your AWS Schema Conversion Tool project displays the schema from your source database in the left panel. The schema is presented in a tree-view format, as shown following, and each node of the tree is "lazy loaded." That is, when you choose a node in the tree view, the AWS Schema Conversion Tool requests the schema information from your source database at that time. 35

40 Converting Your Schema 36

41 Converting Your Schema You can choose schema items from your source database and then convert the schema to equivalent schema for the DB engine of your target DB instance.you can choose any schema item from your source database to convert. If the schema item that you chose is dependent on a "parent" item, then the AWS Schema Conversion Tool also generates the schema for the parent item. For example, if you choose a column from a table to convert, then the AWS Schema Conversion Tool generates the schema for the column, the table that the column is in, and the database that the table is in. When the AWS Schema Conversion Tool generates a converted schema, it does not immediately apply it to the target DB instance. Instead, the converted schema is stored locally until you are ready to apply it to the target DB instance. For more information, see Applying Your Schema (p. 42). To convert schema from your source database, choose a schema object to convert from the left panel of your project. Open the context (right-click) menu for the object, and choose Convert schema, as shown following. 37

42 Converting Your Schema You can create a database migration assessment report that contains a summary of all of the action items displayed in the Action Items tab and save it as a PDF. The assessment report is useful for identifying and resolving schema items that could not be automatically converted. For more information, see Creating and Using the Assessment Report (p. 31). After you have converted the schema from your source database, you can choose schema items from the left panel of your project and view the converted schema in the center panels of your project. The lower-center panel displays the properties of and the SQL command to create the converted schema, as shown following. 38

43 Clearing a Schema After you have converted your schema for the first time or created a database migration assessment report, you can save your project and the schema information from your source database will be saved with your project. This means that you can work offline without being connected to your source database. The AWS Schema Conversion Tool will still connect to your source database to update the schema in your project if you choose the Refresh from Database git checoption for your source database. For more information, see Updating and Refreshing Your Schema (p. 40). Clearing a Schema Until you apply the schema to your target DB instance, the AWS Schema Conversion Tool only stores the converted schema locally in your project. You can clear the planned schema from your project by choosing the tree-view node for your target DB instance, and then choosing the Refresh from Database button. Because no schema has been written to your target DB instance, refreshing from the database will remove the planned schema elements in your schema conversion tool project to match what exists in your target DB instance. 39

44 Updating and Refreshing Your Schema Updating and Refreshing Your Schema You can update the schema in your AWS Schema Conversion Tool project by choosing Refresh from Database, as shown following. 40

45 Saving and Applying Your Schema If you choose the Refresh from Database option for your source database, then the AWS Schema Conversion Tool replaces the schema in your project with the latest schema from your source database. This functionality enables you to update your project if changes have been made to the schema of your source database. If you choose the Refresh from Database option for your target RDS DB instance, then the AWS Schema Conversion Tool replaces the schema in your project with the latest schema from your target DB instance. If you have not applied any schema to your target DB instance, then the AWS Schema Conversion Tool clears the converted schema from your project. You can then convert the schema from your source database for a "clean" target DB instance. Saving and Applying Your Schema When the AWS Schema Conversion Tool generates converted schema (as shown in Converting Your Schema (p. 35)), it does not immediately apply converted schema to the target DB instance. Instead, converted schema are stored locally in your project until you are ready to apply them to the target DB instance. This functionality enables you to address schema items that cannot be automatically converted to your target DB engine. For more information on items that cannot be automatically converted, see Creating and Using the Assessment Report (p. 31). You can optionally have the tool save your converted schema to a file as a SQL script prior to applying the schema to your target DB instance. You can also have the tool apply the converted schema directly to your target DB instance. Saving Your Schema to a File You can save your converted schema as SQL scripts in a text file. By using this approach, you can modify the generated SQL scripts from the AWS Schema Conversion Tool to address items that the tool cannot 41

46 Applying Your Schema automatically convert. You can then run your updated scripts on your target DB instance to apply your converted schema to your target database. To save your converted schema as SQL scripts, open the context (right-click) menu for the schema element, and choose Save as SQL, as shown following. Applying Your Schema When you are ready to apply your converted schema to your target RDS DB instance, choose the schema element from the right panel of your project. Open the context (right-click) menu for the schema element, and choose Apply to database, as shown following. 42

47 Related Topics Important The first time that you apply your converted schema to your target DB instance, the AWS Schema Conversion Tool adds a schema to your target DB instance. This schema implements system functions of the source database that are required when writing your converted schema to your target DB instance. The schema is named AWS_ORACLE_EXT if your source database is Oracle and AWS_SQLSERVER_EXT if your source database is Microsoft SQL Server. Do not modify this schema, or you might encounter unexpected results in the converted schema that is written to your target DB instance. When your schema is fully migrated to your target DB instance, and you no longer need the AWS Schema Conversion Tool, you can delete the AWS_ORACLE_EXT or AWS_SQLSERVER_EXT schema. Related Topics What Is the AWS Schema Conversion Tool? (p. 1) Getting Started with the AWS Schema Conversion Tool (p. 10) Installing and Updating the AWS Schema Conversion Tool (p. 5) 43

48 Memory Management and Performance BestPractices with the AWS Schema Conversion Tool This topic includes information on best practices and options for using the AWS Schema Conversion Tool. Topics Memory Management and Performance (p. 44) Related Topics (p. 44) Memory Management and Performance You can configure the AWS Schema Conversion Tool with different memory performance settings. Increasing memory will speed up the performance of your conversion, but will use more memory resources on your desktop. To set your memory management option, go to Settings -> Global Settings and choose the Performance and Memory tab. Choose one of the following options: Fast conversion, but large memory consumption This option optimizes for speed of the conversion, but might require more memory for the object reference cache. Low memory consumption, but slower conversion This option minimizes the amount of memory used, but will result in a slower conversion. Use this option if your desktop has a limited amount of memory. Balance speed with memory consumption This option optimizes provides a balance between memory use and conversion speed. Related Topics What Is the AWS Schema Conversion Tool? (p. 1) Getting Started with the AWS Schema Conversion Tool (p. 10) Installing and Updating the AWS Schema Conversion Tool (p. 5) 44

49 Related Topics AWS Schema Conversion Tool Reference The following sections provide reference material for the AWS Schema Conversion Tool: Oracle to MySQL Supported Schema Conversion (p. 45) SQL Server to MySQL Supported Schema Conversion (p. 74) Keyboard Shortcuts (p. 95) Related Topics What Is the AWS Schema Conversion Tool? (p. 1) Getting Started with the AWS Schema Conversion Tool (p. 10) Installing and Updating the AWS Schema Conversion Tool (p. 5) Oracle to MySQL Supported Schema Conversion The following sections list the schema elements from an Oracle database and whether they are supported for automatic conversion to MySQL using the AWS Schema Conversion Tool. Topics Statements (p. 46) Procedures (p. 50) Flow Control (p. 51) Packages (p. 51) Functions (p. 51) Operators (p. 61) Data Types (p. 65) Data Definition Language (DDL) (p. 67) Cursors (p. 70) Hints (p. 71) 45

50 Statements Exceptions (p. 73) Related Topics (p. 74) Statements Topics SELECT (p. 46) INSERT (p. 47) UPDATE (p. 48) DELETE (p. 49) MERGE (p. 50) TRUNCATE (p. 50) LOCK TABLE (p. 50) SELECT WITH AS SELECT DISTINCT UNIQUE ALL select_list BULK COLLECT INTO INTO record_name materialized view TABLE (collection_expression) MODEL START WITH CONNECT BY PIVOT Use a stored procedure to prepare data, or rewrite your query to avoid the WITH clause. You can try to include all of the fields from your table in an INTO clause. MySQL doesn't support the MODEL statement. MySQL doesn't support hierarchical queries. Use a stored procedure to prepare data. MySQL doesn't support hierarchical queries. Use a stored procedure to prepare data. 46

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