Troubleshooting zero-ETL integrations

Use the following information to troubleshoot common issues with zero-ETL integrations with Aurora MySQL.

Creation of the integration failed

If the creation of the zero-ETL integration failed, the status of the integration is Inactive. Make sure that the following are correct for your source Aurora DB cluster:

In addition, make sure the following are correct for your Amazon Redshift data warehouse:

Tables don't have primary keys

In the destination database, one or more of the tables don't have a primary key and can't be synchronized.

To resolve this issue, go to the Table statistics tab on the integration details page or use SVV_INTEGRATION_TABLE_STATE to view the failed tables. You can add primary keys to the tables and Amazon Redshift will resynchronize the tables. Alternatively, although not recommended, you can drop these tables on Aurora and create tables with a primary key. For more information, see Amazon Redshift best practices for designing tables.

Aurora MySQL tables aren't replicating to Amazon Redshift

If you don't see one or more tables reflected in Amazon Redshift, you can run the following command to resynchronize them. Replace dbname with the name of your Amazon Redshift database. And, replace table1 and table2 with the names of the tables to be synchronized.

ALTER DATABASE dbname INTEGRATION REFRESH TABLES table1, table2;

For more information, see see ALTER DATABASE in the Amazon Redshift Database Developer Guide.

Your data might not be replicating because one or more of your source tables doesn't have a primary key. The monitoring dashboard in Amazon Redshift displays the status of these tables as Failed, and the status of the overall zero-ETL integration changes to Needs attention. To resolve this issue, you can identify an existing key in your table that can become a primary key, or you can add a synthetic primary key. For detailed solutions, see Handle tables without primary keys while creating Amazon Aurora MySQL or RDS for MySQL zero-ETL integrations with Amazon Redshift. in the AWS Database Blog.

Also confirm that if your target is an Amazon Redshift cluster, that the cluster is not paused.

Unsupported data types in tables

In the database that you created from the integration in Amazon Redshift and in which data is replicated from the Aurora DB cluster, one or more of the tables have unsupported data types and can't be synchronized.

To resolve this issue, go to the Table statistics tab on the integration details page or use SVV_INTEGRATION_TABLE_STATE to view the failed tables. Then, remove these tables and recreate new tables on Amazon RDS. For more information on unsupported data types, see Data type differences between Aurora and Amazon Redshift databases in the Amazon Aurora User Guide.

Data manipulation language commands failed

Amazon Redshift could not run DML commands on the Redshift tables. To resolve this issue, use SVV_INTEGRATION_TABLE_STATE to view the failed tables. Amazon Redshift automatically resynchronizes the tables to resolve this error.

Tracked changes between data sources don't match

This error occurs when changes between Amazon Aurora and Amazon Redshift don't match, leading to the integration entering a Failed state.

To resolve this, delete the zero-ETL integration and create it again in Amazon RDS. For more information, see Creating zero-ETL integrations and Deleting zero-ETL integrations.

Authorization failed

Authorization failed because the source Aurora DB cluster was removed as an authorized integration source for the Amazon Redshift data warehouse.

To resolve this issue, delete the zero-ETL integration and create it again on Amazon RDS. For more information, see Creating zero-ETL integrations and Deleting zero-ETL integrations.

Number of tables is more than 100K or the number of schemas is more than 4950

For a destination data warehouse, the number of tables is more than 100K or the number of schemas is more than 4950. Amazon Aurora can't send data to Amazon Redshift. The number of tables and schemas exceeds the set limit. To resolve this issue, remove any unnecessary schemas or tables from the source database.

Amazon Redshift can't load data

Amazon Redshift can't load data to the zero-ETL integration.

To resolve this issue, delete the zero-ETL integration on Amazon RDS and create it again. For more information, see Creating zero-ETL integrations and Deleting zero-ETL integrations.

Workgroup parameter settings are incorrect

Your workgroup doesn't have case sensitivity turned on.

To resolve this issue, go to the Properties tab on the integration details page, choose the parameter group, and turn on the case-sensitive identifier from the Properties tab. If you don't have an existing parameter group, create one with the case-sensitive identifier turned on. Then, create a new zero-ETL integration on Amazon RDS. For more information, see Creating zero-ETL integrations.

Database isn't created to activate a zero-ETL integration

There isn't a database created for the zero-ETL integration to activate it.

To resolve this issue, create a database for the integration. For more information, see Creating destination databases in Amazon Redshift.

Table is in the Resync Required or Resync Initiated state

Your table is in the Resync Required or Resync Initiated state.

To gather more detailed error information about why your table is in that state, use the SYS_LOAD_ERROR_DETAIL system view.

Integration lag growing

The integration lag of your zero-ETL integrations can grow if there is a heavy use of SAVEPOINT in your source database.

Use the following information to troubleshoot common issues with zero-ETL integrations with Aurora PostgreSQL.

Creation of the integration failed

If the creation of the zero-ETL integration failed, the status of the integration is Inactive. Make sure that the following are correct for your source Aurora DB cluster:

In addition, make sure the following are correct for your Amazon Redshift data warehouse:

Tables don't have primary keys

In the destination database, one or more of the tables don't have a primary key and can't be synchronized.

To resolve this issue, go to the Table statistics tab on the integration details page or use SVV_INTEGRATION_TABLE_STATE to view the failed tables. You can add primary keys to the tables and Amazon Redshift will resynchronize the tables. Alternatively, although not recommended, you can drop these tables on Aurora and create tables with a primary key. For more information, see Amazon Redshift best practices for designing tables.

Aurora PostgreSQL tables aren't replicating to Amazon Redshift

If you don't see one or more tables reflected in Amazon Redshift, you can run the following command to resynchronize them. Replace dbname with the name of your Amazon Redshift database. And, replace table1 and table2 with the names of the tables to be synchronized.

ALTER DATABASE dbname INTEGRATION REFRESH TABLES table1, table2;

For more information, see see ALTER DATABASE in the Amazon Redshift Database Developer Guide.

Your data might not be replicating because one or more of your source tables doesn't have a primary key. The monitoring dashboard in Amazon Redshift displays the status of these tables as Failed, and the status of the overall zero-ETL integration changes to Needs attention. To resolve this issue, you can identify an existing key in your table that can become a primary key, or you can add a synthetic primary key. For detailed solutions, see Handle tables without primary keys while creating Amazon Aurora PostgreSQL zero-ETL integrations with Amazon Redshift. in the AWS Database Blog.

Also confirm that if your target is an Amazon Redshift cluster, that the cluster is not paused.

Unsupported data types in tables

In the database that you created from the integration in Amazon Redshift and in which data is replicated from the Aurora DB cluster, one or more of the tables have unsupported data types and can't be synchronized.

To resolve this issue, go to the Table statistics tab on the integration details page or use SVV_INTEGRATION_TABLE_STATE to view the failed tables. Then, remove these tables and recreate new tables on Amazon RDS. For more information on unsupported data types, see Data type differences between Aurora and Amazon Redshift databases in the Amazon Aurora User Guide.

Data manipulation language commands failed

Amazon Redshift could not run DML commands on the Redshift tables. To resolve this issue, use SVV_INTEGRATION_TABLE_STATE to view the failed tables. Amazon Redshift automatically resynchronizes the tables to resolve this error.

Tracked changes between data sources don't match

This error occurs when changes between Amazon Aurora and Amazon Redshift don't match, leading to the integration entering a Failed state.

To resolve this, delete the zero-ETL integration and create it again in Amazon RDS. For more information, see Creating zero-ETL integrations and Deleting zero-ETL integrations.

Authorization failed

Authorization failed because the source Aurora DB cluster was removed as an authorized integration source for the Amazon Redshift data warehouse.

To resolve this issue, delete the zero-ETL integration and create it again on Amazon RDS. For more information, see Creating zero-ETL integrations and Deleting zero-ETL integrations.

Number of tables is more than 100K or the number of schemas is more than 4950

For a destination data warehouse, the number of tables is more than 100K or the number of schemas is more than 4950. Amazon Aurora can't send data to Amazon Redshift. The number of tables and schemas exceeds the set limit. To resolve this issue, remove any unnecessary schemas or tables from the source database.

Amazon Redshift can't load data

Amazon Redshift can't load data to the zero-ETL integration.

To resolve this issue, delete the zero-ETL integration on Amazon RDS and create it again. For more information, see Creating zero-ETL integrations and Deleting zero-ETL integrations.

Workgroup parameter settings are incorrect

Your workgroup doesn't have case sensitivity turned on.

To resolve this issue, go to the Properties tab on the integration details page, choose the parameter group, and turn on the case-sensitive identifier from the Properties tab. If you don't have an existing parameter group, create one with the case-sensitive identifier turned on. Then, create a new zero-ETL integration on Amazon RDS. For more information, see Creating zero-ETL integrations.

Database isn't created to activate a zero-ETL integration

There isn't a database created for the zero-ETL integration to activate it.

To resolve this issue, create a database for the integration. For more information, see Creating destination databases in Amazon Redshift.

Table is in the Resync Required or Resync Initiated state

Your table is in the Resync Required or Resync Initiated state.

To gather more detailed error information about why your table is in that state, use the SYS_LOAD_ERROR_DETAIL system view.

Use the following information to troubleshoot common issues with zero-ETL integrations with RDS for MySQL.

Creation of the integration failed

If the creation of the zero-ETL integration failed, the status of the integration is Inactive. Make sure that the following are correct for your source RDS DB instance:

In addition, make sure the following are correct for your Amazon Redshift data warehouse:

Tables don't have primary keys

In the destination database, one or more of the tables don't have a primary key and can't be synchronized.

To resolve this issue, go to the Table statistics tab on the integration details page or use SVV_INTEGRATION_TABLE_STATE to view the failed tables. You can add primary keys to the tables and Amazon Redshift will resynchronize the tables. Alternatively, although not recommended, you can drop these tables on RDS and create tables with a primary key. For more information, see Amazon Redshift best practices for designing tables.

RDS for MySQL tables aren't replicating to Amazon Redshift

If you don't see one or more tables reflected in Amazon Redshift, you can run the following command to resynchronize them. Replace dbname with the name of your Amazon Redshift database. And, replace table1 and table2 with the names of the tables to be synchronized.

ALTER DATABASE dbname INTEGRATION REFRESH TABLES table1, table2;

For more information, see see ALTER DATABASE in the Amazon Redshift Database Developer Guide.

Your data might not be replicating because one or more of your source tables doesn't have a primary key. The monitoring dashboard in Amazon Redshift displays the status of these tables as Failed, and the status of the overall zero-ETL integration changes to Needs attention. To resolve this issue, you can identify an existing key in your table that can become a primary key, or you can add a synthetic primary key. For detailed solutions, see Handle tables without primary keys while creating Aurora MySQL-Compatible Edition or RDS for MySQL zero-ETL integrations with Amazon Redshift. in the AWS Database Blog.

Also confirm that if your target is an Amazon Redshift cluster, that the cluster is not paused.

Unsupported data types in tables

In the database that you created from the integration in Amazon Redshift and in which data is replicated from the RDS DB instance, one or more of the tables have unsupported data types and can't be synchronized.

To resolve this issue, go to the Table statistics tab on the integration details page or use SVV_INTEGRATION_TABLE_STATE to view the failed tables. Then, remove these tables and recreate new tables on Amazon RDS. For more information on unsupported data types, see Data type differences between RDS and Amazon Redshift databases in the Amazon RDS User Guide.

Data manipulation language commands failed

Amazon Redshift could not run DML commands on the Redshift tables. To resolve this issue, use SVV_INTEGRATION_TABLE_STATE to view the failed tables. Amazon Redshift automatically resynchronizes the tables to resolve this error.

Tracked changes between data sources don't match

This error occurs when changes between Amazon Aurora and Amazon Redshift don't match, leading to the integration entering a Failed state.

To resolve this, delete the zero-ETL integration and create it again in Amazon RDS. For more information, see Creating zero-ETL integrations and Deleting zero-ETL integrations.

Authorization failed

Authorization failed because the source RDS DB instance was removed as an authorized integration source for the Amazon Redshift data warehouse.

To resolve this issue, delete the zero-ETL integration and create it again on Amazon RDS. For more information, see Creating zero-ETL integrations and Deleting zero-ETL integrations.

Number of tables is more than 100K or the number of schemas is more than 4950

For a destination data warehouse, the number of tables is more than 100K or the number of schemas is more than 4950. Amazon Aurora can't send data to Amazon Redshift. The number of tables and schemas exceeds the set limit. To resolve this issue, remove any unnecessary schemas or tables from the source database.

Amazon Redshift can't load data

Amazon Redshift can't load data to the zero-ETL integration.

To resolve this issue, delete the zero-ETL integration on Amazon RDS and create it again. For more information, see Creating zero-ETL integrations and Deleting zero-ETL integrations.

Workgroup parameter settings are incorrect

Your workgroup doesn't have case sensitivity turned on.

To resolve this issue, go to the Properties tab on the integration details page, choose the parameter group, and turn on the case-sensitive identifier from the Properties tab. If you don't have an existing parameter group, create one with the case-sensitive identifier turned on. Then, create a new zero-ETL integration on Amazon RDS. For more information, see Creating zero-ETL integrations.

Database isn't created to activate a zero-ETL integration

There isn't a database created for the zero-ETL integration to activate it.

To resolve this issue, create a database for the integration. For more information, see Creating destination databases in Amazon Redshift.

Table is in the Resync Required or Resync Initiated state

Your table is in the Resync Required or Resync Initiated state.

To gather more detailed error information about why your table is in that state, use the SYS_LOAD_ERROR_DETAIL system view.

Use the following information to troubleshoot common issues with zero-ETL integrations with Amazon DynamoDB.

Creation of the integration failed

If the creation of the zero-ETL integration failed, the status of the integration is Inactive. Make sure that the following are correct for your Amazon Redshift data warehouse and source DynamoDB table:

Unsupported data types in tables

DynamoDB numbers are translated to DECIMAL(38,10) in Amazon Redshift. Numbers exceeding this precision range are automatically transformed to (38,10). Delete the integration and unify the number precisions, and then re-create the integration.

Unsupported table and attribute names

Amazon Redshift supports up to 127 character table and attribute names. If a long name, such as the DynamoDB table name or the partition key or sort key column name fails your integration, fix it by using a shorter name and re-create the integration.

Authorization failed

Authorization can fail when the source DynamoDB table is removed as an authorized integration source for the Amazon Redshift data warehouse.

To resolve this issue, delete the zero-ETL integration, and re-create it using Amazon DynamoDB.

Amazon Redshift can't load data

Amazon Redshift can't load data from a zero-ETL integration.

To resolve this issue, refresh the integration with ALTER DATABASE.

ALTER DATABASE sample_integration_db INTEGRATION REFRESH ALL TABLES

Workgroup or cluster parameter settings are incorrect

Your workgroup or cluster doesn't have case sensitivity turned on.

To resolve this issue, go to the Properties tab on the integration details page, choose the parameter group, and turn on the case-sensitive identifier from the Properties tab. If you don't have an existing parameter group, create one with the case-sensitive identifier turned on. Then, create a new zero-ETL integration on DynamoDB. See Turn on case sensitivity in the Amazon Redshift Management Guide.

Database isn't created to activate a zero-ETL integration

There isn't a database created for the zero-ETL integration to activate it.

To resolve this issue, create a database for the integration. See Creating destination databases in Amazon Redshift in the Amazon Redshift Management Guide.

Point-in-time recovery (PITR) is not enabled on source DynamoDB table

Enabling PITR is required for DynamoDB to export data. Ensure PITR is always enabled. If you ever turn off PITR while the integration is active, you’ll need to follow instructions in the error message and refresh the integration using ALTER DATABASE.

ALTER DATABASE sample_integration_db INTEGRATION REFRESH ALL TABLES

KMS key access denied

The KMS key used for the source table or integration must be configured with sufficient permissions. For information about table encryption and decryption, see DynamoDB encryption at rest in the Amazon DynamoDB Developer Guide.

Amazon Redshift does not have access to DynamoDB table key

If the source table encryption is an AWS managed key, then switch to an AWS owned key or customer managed key. If the table is already encrypted with a customer managed key, ensure that the policy doesn't have any condition keys.