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Migrating SQL Server to New AWS Aurora DB
The Next CEO of Stack OverflowAdd a column with a default value to an existing table in SQL ServerHow to return only the Date from a SQL Server DateTime datatypeHow to check if a column exists in a SQL Server table?Check if table exists in SQL ServerHow to concatenate text from multiple rows into a single text string in SQL server?LEFT JOIN vs. LEFT OUTER JOIN in SQL ServerWhat is the best way to auto-generate INSERT statements for a SQL Server table?How can I rename a database column in a Ruby on Rails migration?How do I UPDATE from a SELECT in SQL Server?Migrating from SQL Server to AWS Aurora
We are migrating existing on Premise SQL Server database to AWS Aurora database in the cloud.We just built the target Aurora DB in the RDS instance. It has no tables, completely empty.In the schema conversion tools I have connected source SQL server database and Target AWS Aurora DB. At this point if I do the migration from SQL Server to empty Aurora DB. The SCT and DMS should migrate my whole SQL server database to AWS Aurora, right? Or do I have to create the tables in the Target AWS database berore running SCT and DMS.
sql-server amazon-web-services migration aurora edited Mar 21 at 21:11
marc_s
583k13011241270
asked Mar 21 at 19:54
SHANSHAN
31
add a comment |
We are migrating existing on Premise SQL Server database to AWS Aurora database in the cloud.We just built the target Aurora DB in the RDS instance. It has no tables, completely empty.In the schema conversion tools I have connected source SQL server database and Target AWS Aurora DB. At this point if I do the migration from SQL Server to empty Aurora DB. The SCT and DMS should migrate my whole SQL server database to AWS Aurora, right? Or do I have to create the tables in the Target AWS database berore running SCT and DMS.
sql-server amazon-web-services migration aurora edited Mar 21 at 21:11
marc_s
583k13011241270
asked Mar 21 at 19:54
SHANSHAN
31
add a comment |
We are migrating existing on Premise SQL Server database to AWS Aurora database in the cloud.We just built the target Aurora DB in the RDS instance. It has no tables, completely empty.In the schema conversion tools I have connected source SQL server database and Target AWS Aurora DB. At this point if I do the migration from SQL Server to empty Aurora DB. The SCT and DMS should migrate my whole SQL server database to AWS Aurora, right? Or do I have to create the tables in the Target AWS database berore running SCT and DMS.
sql-server amazon-web-services migration aurora edited Mar 21 at 21:11
marc_s
583k13011241270
asked Mar 21 at 19:54
SHANSHAN
31
We are migrating existing on Premise SQL Server database to AWS Aurora database in the cloud.We just built the target Aurora DB in the RDS instance. It has no tables, completely empty.In the schema conversion tools I have connected source SQL server database and Target AWS Aurora DB. At this point if I do the migration from SQL Server to empty Aurora DB. The SCT and DMS should migrate my whole SQL server database to AWS Aurora, right? Or do I have to create the tables in the Target AWS database berore running SCT and DMS.
sql-server amazon-web-services migration aurora sql-server amazon-web-services migration aurora edited Mar 21 at 21:11
marc_s
583k13011241270
asked Mar 21 at 19:54
SHANSHAN
31
edited Mar 21 at 21:11
marc_s
583k13011241270
asked Mar 21 at 19:54
SHANSHAN
31
edited Mar 21 at 21:11
marc_s
583k13011241270
edited Mar 21 at 21:11
marc_s
583k13011241270
edited Mar 21 at 21:11
marc_s
583k13011241270
583k13011241270
asked Mar 21 at 19:54
SHANSHAN
31
asked Mar 21 at 19:54
SHANSHAN
31
asked Mar 21 at 19:54
SHANSHAN
31
31
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
DMS will create the tables for you, but some details will not be copied over. From the docs:
AWS DMS supports basic schema migration, including the creation of
tables and primary keys. However, AWS DMS doesn't automatically create
secondary indexes, foreign keys, user accounts, and so on in the
target database.
If you use SCT, these can be migrated.
AWS DMS doesn't migrate your secondary indexes, sequences, default
values, stored procedures, triggers, synonyms, views, and other schema
objects that aren't specifically related to data migration. To migrate
these objects to your Aurora MySQL target, use AWS SCT.
The step-by-step guide to migrating from SQL Server to Amazon Aurora might be helpful. With SCT, you can choose if you want the tables to be created by setting the Preparation mode.
Do nothing - AWS DMS does nothing to prepare your tables. Your table structure remains the same, and any existing data remains in the
table. You can use this method to consolidate data from multiple
systems.
Drop tables on target - AWS DMS creates your target tables for you. AWS DMS drops and re-creates the tables to migrate before
migration. AWS DMS creates the table and a primary key only for
heterogeneous migrations.
Truncate - AWS DMS truncates a target table before loading it. If the target table doesn’t exist, then AWS DMS creates it.
answered Mar 21 at 23:29
bwestbwest
7,00121847
add a comment |
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1 Answer
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oldest
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DMS will create the tables for you, but some details will not be copied over. From the docs:
AWS DMS supports basic schema migration, including the creation of
tables and primary keys. However, AWS DMS doesn't automatically create
secondary indexes, foreign keys, user accounts, and so on in the
target database.
If you use SCT, these can be migrated.
AWS DMS doesn't migrate your secondary indexes, sequences, default
values, stored procedures, triggers, synonyms, views, and other schema
objects that aren't specifically related to data migration. To migrate
these objects to your Aurora MySQL target, use AWS SCT.
The step-by-step guide to migrating from SQL Server to Amazon Aurora might be helpful. With SCT, you can choose if you want the tables to be created by setting the Preparation mode.
Do nothing - AWS DMS does nothing to prepare your tables. Your table structure remains the same, and any existing data remains in the
table. You can use this method to consolidate data from multiple
systems.
Drop tables on target - AWS DMS creates your target tables for you. AWS DMS drops and re-creates the tables to migrate before
migration. AWS DMS creates the table and a primary key only for
heterogeneous migrations.
Truncate - AWS DMS truncates a target table before loading it. If the target table doesn’t exist, then AWS DMS creates it.
answered Mar 21 at 23:29
bwestbwest
7,00121847
add a comment |
DMS will create the tables for you, but some details will not be copied over. From the docs:
AWS DMS supports basic schema migration, including the creation of
tables and primary keys. However, AWS DMS doesn't automatically create
secondary indexes, foreign keys, user accounts, and so on in the
target database.
If you use SCT, these can be migrated.
AWS DMS doesn't migrate your secondary indexes, sequences, default
values, stored procedures, triggers, synonyms, views, and other schema
objects that aren't specifically related to data migration. To migrate
these objects to your Aurora MySQL target, use AWS SCT.
The step-by-step guide to migrating from SQL Server to Amazon Aurora might be helpful. With SCT, you can choose if you want the tables to be created by setting the Preparation mode.
Do nothing - AWS DMS does nothing to prepare your tables. Your table structure remains the same, and any existing data remains in the
table. You can use this method to consolidate data from multiple
systems.
Drop tables on target - AWS DMS creates your target tables for you. AWS DMS drops and re-creates the tables to migrate before
migration. AWS DMS creates the table and a primary key only for
heterogeneous migrations.
Truncate - AWS DMS truncates a target table before loading it. If the target table doesn’t exist, then AWS DMS creates it.
answered Mar 21 at 23:29
bwestbwest
7,00121847
add a comment |
DMS will create the tables for you, but some details will not be copied over. From the docs:
AWS DMS supports basic schema migration, including the creation of
tables and primary keys. However, AWS DMS doesn't automatically create
secondary indexes, foreign keys, user accounts, and so on in the
target database.
If you use SCT, these can be migrated.
AWS DMS doesn't migrate your secondary indexes, sequences, default
values, stored procedures, triggers, synonyms, views, and other schema
objects that aren't specifically related to data migration. To migrate
these objects to your Aurora MySQL target, use AWS SCT.
The step-by-step guide to migrating from SQL Server to Amazon Aurora might be helpful. With SCT, you can choose if you want the tables to be created by setting the Preparation mode.
Do nothing - AWS DMS does nothing to prepare your tables. Your table structure remains the same, and any existing data remains in the
table. You can use this method to consolidate data from multiple
systems.
Drop tables on target - AWS DMS creates your target tables for you. AWS DMS drops and re-creates the tables to migrate before
migration. AWS DMS creates the table and a primary key only for
heterogeneous migrations.
Truncate - AWS DMS truncates a target table before loading it. If the target table doesn’t exist, then AWS DMS creates it.
answered Mar 21 at 23:29
bwestbwest
7,00121847
DMS will create the tables for you, but some details will not be copied over. From the docs:
AWS DMS supports basic schema migration, including the creation of
tables and primary keys. However, AWS DMS doesn't automatically create
secondary indexes, foreign keys, user accounts, and so on in the
target database.
If you use SCT, these can be migrated.
AWS DMS doesn't migrate your secondary indexes, sequences, default
values, stored procedures, triggers, synonyms, views, and other schema
objects that aren't specifically related to data migration. To migrate
these objects to your Aurora MySQL target, use AWS SCT.
The step-by-step guide to migrating from SQL Server to Amazon Aurora might be helpful. With SCT, you can choose if you want the tables to be created by setting the Preparation mode.
Do nothing - AWS DMS does nothing to prepare your tables. Your table structure remains the same, and any existing data remains in the
table. You can use this method to consolidate data from multiple
systems.
Drop tables on target - AWS DMS creates your target tables for you. AWS DMS drops and re-creates the tables to migrate before
migration. AWS DMS creates the table and a primary key only for
heterogeneous migrations.
Truncate - AWS DMS truncates a target table before loading it. If the target table doesn’t exist, then AWS DMS creates it.
answered Mar 21 at 23:29
bwestbwest
7,00121847
edited Mar 21 at 23:35
answered Mar 21 at 23:29
bwestbwest
7,00121847
answered Mar 21 at 23:29
bwestbwest
7,00121847
answered Mar 21 at 23:29
bwestbwest
7,00121847
7,00121847
add a comment |
add a comment |
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