Amazon S3 integration

You can transfer files between your RDS for Oracle DB instance and an Amazon S3 bucket. You can use Amazon S3 integration with Oracle Database features such as Oracle Data Pump. For example, you can download Data Pump files from Amazon S3 to your RDS for Oracle DB instance. For more information, see Importing data into Oracle on Amazon RDS.

Note

Your DB instance and your Amazon S3 bucket must be in the same AWS Region.

Configuring IAM permissions for RDS for Oracle integration with Amazon S3

For RDS for Oracle to integrate with Amazon S3, your DB instance must have access to an Amazon S3 bucket. The Amazon VPC used by your DB instance doesn't need to provide access to the Amazon S3 endpoints.

RDS for Oracle supports uploading files from a DB instance in one account to an Amazon S3 bucket in a different account. Where additional steps are required, they are noted in the following sections.

Topics

• Step 1: Create an IAM policy for your Amazon RDS role
• Step 2: (Optional) Create an IAM policy for your Amazon S3 bucket
• Step 3: Create an IAM role for your DB instance and attach your policy
• Step 4: Associate your IAM role with your RDS for Oracle DB instance

Step 1: Create an IAM policy for your Amazon RDS role

In this step, you create an AWS Identity and Access Management (IAM) policy with the permissions required to transfer files from your Amazon S3 bucket to your RDS DB instance.

To create the policy, make sure you have the following:

• The Amazon Resource Name (ARN) for your bucket

• The ARN for your AWS KMS key, if your bucket uses SSE-KMS or SSE-S3 encryption

  Note

  An Oracle DB instance can't access Amazon S3 buckets encrypted with SSE-C.

For more information, see Protecting data using server-side encryption in the Amazon Simple Storage Service User Guide.

Console

To create an IAM policy to allow Amazon RDS access to an Amazon S3 bucket

1. Open the IAM Management Console.

2. Under Access management, choose Policies.

3. Choose Create Policy.

4. On the Visual editor tab, choose Choose a service, and then choose S3.

5. For Actions, choose Expand all, and then choose the bucket permissions and object permissions required to transfer files from an Amazon S3 bucket to Amazon RDS. For example, do the following:

   • Expand List, and then select ListBucket.

   • Expand Read, and then select GetObject.

   • Expand Write, and then select PutObject and DeleteObject.

   • Expand Permissions management, and then select PutObjectAcl. This permission is necessary if you plan to upload files to a bucket owned by a different account, and this account needs full control of the bucket contents.

   Object permissions are permissions for object operations in Amazon S3. You must grant them for objects in a bucket, not the bucket itself. For more information, see Permissions for object operations.

6. Choose Resources, and choose Add ARN for bucket.

7. In the Add ARN(s) dialog box, provide the details about your resource, and choose Add.

   Specify the Amazon S3 bucket to allow access to. For instance, to allow Amazon RDS to access the Amazon S3 bucket named example-bucket, set the ARN value to arn:aws:s3:::example-bucket.

8. If the object resource is listed, choose Add ARN for object.

9. In the Add ARN(s) dialog box, provide the details about your resource.

   For the Amazon S3 bucket, specify the Amazon S3 bucket to allow access to. For the object, you can choose Any to grant permissions to any object in the bucket.

   Note

   You can set Amazon Resource Name (ARN) to a more specific ARN value to allow Amazon RDS to access only specific files or folders in an Amazon S3 bucket. For more information about how to define an access policy for Amazon S3, see Managing access permissions to your Amazon S3 resources.

10. (Optional) Choose Add additional permissions to add resources to the policy. For example, do the following:

    • If your bucket is encrypted with a custom KMS key, select KMS for the service. Select Encrypt, ReEncrypt, Decrypt, DescribeKey, and GenerateDataKey for actions. Enter the ARN of your custom key as the resource. For more information, see Protecting Data Using Server-Side Encryption with KMS keys Stored in AWS Key Management Service (SSE-KMS) in the Amazon Simple Storage Service User Guide.

    • If you want Amazon RDS to access to access other buckets, add the ARNs for these buckets. Optionally, you can also grant access to all buckets and objects in Amazon S3.

11. Choose Next: Tags and then Next: Review.

12. For Name, enter a name for your IAM policy, for example rds-s3-integration-policy. You use this name when you create an IAM role to associate with your DB instance. You can also add an optional Description value.

13. Choose Create policy.

AWS CLI

Create an AWS Identity and Access Management (IAM) policy that grants Amazon RDS access to an Amazon S3 bucket. After you create the policy, note the ARN of the policy. You need the ARN for a subsequent step.

Include the appropriate actions in the policy based on the type of access required:

• GetObject – Required to transfer files from an Amazon S3 bucket to Amazon RDS.

• ListBucket – Required to transfer files from an Amazon S3 bucket to Amazon RDS.

• PutObject – Required to transfer files from Amazon RDS to an Amazon S3 bucket.

The following AWS CLI command creates an IAM policy named rds-s3-integration-policy with these options. It grants access to a bucket named your-s3-bucket-arn.

Example

For Linux, macOS, or Unix:

aws iam create-policy \
   --policy-name rds-s3-integration-policy \
   --policy-document '{
     "Version": "2012-10-17",
     "Statement": [
       {
         "Sid": "s3integration",
         "Action": [
           "s3:GetObject",
           "s3:ListBucket",
           "s3:PutObject"
         ],
         "Effect": "Allow",
         "Resource": [
           "arn:aws:s3:::your-s3-bucket-arn", 
           "arn:aws:s3:::your-s3-bucket-arn/*"
         ]
       }
     ]
   }'                    

The following example includes permissions for custom KMS keys.

aws iam create-policy \
   --policy-name rds-s3-integration-policy \
   --policy-document '{
     "Version": "2012-10-17",
     "Statement": [
       {
         "Sid": "s3integration",
         "Action": [
           "s3:GetObject",
           "s3:ListBucket",
           "s3:PutObject",
           "kms:Decrypt",
           "kms:Encrypt",
           "kms:ReEncrypt",
           "kms:GenerateDataKey",
           "kms:DescribeKey",
         ],
         "Effect": "Allow",
         "Resource": [
           "arn:aws:s3:::your-s3-bucket-arn", 
           "arn:aws:s3:::your-s3-bucket-arn/*",
           "arn:aws:kms:::your-kms-arn"
         ]
       }
     ]
   }'

For Windows:

aws iam create-policy ^
   --policy-name rds-s3-integration-policy ^
   --policy-document '{
     "Version": "2012-10-17",
     "Statement": [
       {
         "Sid": "s3integration",
         "Action": [
           "s3:GetObject",
           "s3:ListBucket",
           "s3:PutObject"
         ],
         "Effect": "Allow",
         "Resource": [
           "arn:aws:s3:::your-s3-bucket-arn", 
           "arn:aws:s3:::your-s3-bucket-arn/*"
         ]
       }
     ]
   }'

The following example includes permissions for custom KMS keys.

aws iam create-policy ^
   --policy-name rds-s3-integration-policy ^
   --policy-document '{
     "Version": "2012-10-17",
     "Statement": [
       {
         "Sid": "s3integration",
         "Action": [
           "s3:GetObject",
           "s3:ListBucket",
           "s3:PutObject",
           "kms:Decrypt",
           "kms:Encrypt",
           "kms:ReEncrypt",
           "kms:GenerateDataKey",
           "kms:DescribeKey",
         ],
         "Effect": "Allow",
         "Resource": [
           "arn:aws:s3:::your-s3-bucket-arn", 
           "arn:aws:s3:::your-s3-bucket-arn/*",
           "arn:aws:kms:::your-kms-arn"
         ]
       }
     ]
   }'

Step 2: (Optional) Create an IAM policy for your Amazon S3 bucket

This step is necessary only in the following conditions:

• You plan to upload files to an Amazon S3 bucket from one account (account A) and access them from a different account (account B).

• Account B owns the bucket.

• Account B needs full control of objects loaded into the bucket.

If the preceding conditions don't apply to you, skip to Step 3: Create an IAM role for your DB instance and attach your policy.

To create your bucket policy, make sure you have the following:

• The account ID for account A

• The user name for account A

• The ARN value for the Amazon S3 bucket in account B

Console

To create or edit a bucket policy

1. Sign in to the AWS Management Console and open the Amazon S3 console at https://console.aws.amazon.com/s3/.

2. In the Buckets list, choose the name of the bucket that you want to create a bucket policy for or whose bucket policy you want to edit.

3. Choose Permissions.

4. Under Bucket policy, choose Edit. This opens the Edit bucket policy page.

5. On the Edit bucket policy page, explore Policy examples in the Amazon S3 User Guide, choose Policy generator to generate a policy automatically, or edit the JSON in the Policy section.

   If you choose Policy generator, the AWS Policy Generator opens in a new window:

   1. On the AWS Policy Generator page, in Select Type of Policy, choose S3 Bucket Policy.

   2. Add a statement by entering the information in the provided fields, and then choose Add Statement. Repeat for as many statements as you would like to add. For more information about these fields, see the IAM JSON policy elements reference in the IAM User Guide.

      Note

      For convenience, the Edit bucket policy page displays the Bucket ARN (Amazon Resource Name) of the current bucket above the Policy text field. You can copy this ARN for use in the statements on the AWS Policy Generator page.

   3. After you finish adding statements, choose Generate Policy.

   4. Copy the generated policy text, choose Close, and return to the Edit bucket policy page in the Amazon S3 console.

6. In the Policy box, edit the existing policy or paste the bucket policy from the Policy generator. Make sure to resolve security warnings, errors, general warnings, and suggestions before you save your policy.

   {
     "Version": "2012-10-17",
     "Statement": [
       {
         "Sid": "Example permissions",
         "Effect": "Allow",
         "Principal": {
           "AWS": "arn:aws:iam::account-A-ID:account-A-user"
         },
         "Action": [
           "s3:PutObject",
           "s3:PutObjectAcl"
         ],
         "Resource": [
           "arn:aws:s3:::account-B-bucket-arn",
           "arn:aws:s3:::account-B-bucket-arn/*"
         ]
       }
     ]
   }

7. Choose Save changes, which returns you to the Bucket Permissions page.

Step 3: Create an IAM role for your DB instance and attach your policy

This step assumes that you have created the IAM policy in Step 1: Create an IAM policy for your Amazon RDS role. In this step, you create a role for your RDS for Oracle DB instance and then attach your policy to the role.

Console

To create an IAM role to allow Amazon RDS access to an Amazon S3 bucket

1. Open the IAM Management Console.

2. In the navigation pane, choose Roles.

3. Choose Create role.

4. For AWS service, choose RDS.

5. For Select your use case, choose RDS – Add Role to Database.

6. Choose Next.

7. For Search under Permissions policies, enter the name of the IAM policy you created, and choose the policy when it appears in the list.

8. Choose Next.

9. Set Role name to a name for your IAM role, for example rds-s3-integration-role. You can also add an optional Description value.

10. Choose Create role.

AWS CLI

To create a role and attach your policy to it

1. Create an IAM role that Amazon RDS can assume on your behalf to access your Amazon S3 buckets.

   We recommend using the aws:SourceArn and aws:SourceAccount global condition context keys in resource-based trust relationships to limit the service's permissions to a specific resource. This is the most effective way to protect against the confused deputy problem.

   You might use both global condition context keys and have the aws:SourceArn value contain the account ID. In this case, the aws:SourceAccount value and the account in the aws:SourceArn value must use the same account ID when used in the same statement.

   • Use aws:SourceArn if you want cross-service access for a single resource.

   • Use aws:SourceAccount if you want to allow any resource in that account to be associated with the cross-service use.

   In the trust relationship, make sure to use the aws:SourceArn global condition context key with the full Amazon Resource Name (ARN) of the resources accessing the role.

   The following AWS CLI command creates the role named rds-s3-integration-role for this purpose.

   Example

   For Linux, macOS, or Unix:

   aws iam create-role \
      --role-name rds-s3-integration-role \
      --assume-role-policy-document '{
        "Version": "2012-10-17",
        "Statement": [
          {
            "Effect": "Allow",
            "Principal": {
               "Service": "rds.amazonaws.com"
             },
            "Action": "sts:AssumeRole",
            "Condition": {
                "StringEquals": {
                    "aws:SourceAccount": my_account_ID,
                    "aws:SourceArn": "arn:aws:rds:Region:my_account_ID:db:dbname"
                }
            }
          }
        ]
      }'

   For Windows:

   aws iam create-role ^
      --role-name rds-s3-integration-role ^
      --assume-role-policy-document '{
        "Version": "2012-10-17",
        "Statement": [
          {
            "Effect": "Allow",
            "Principal": {
               "Service": "rds.amazonaws.com"
             },
            "Action": "sts:AssumeRole",
            "Condition": {
                "StringEquals": {
                    "aws:SourceAccount": my_account_ID,
                    "aws:SourceArn": "arn:aws:rds:Region:my_account_ID:db:dbname"
                }
            }
          }
        ]
      }'

   For more information, see Creating a role to delegate permissions to an IAM user in the IAM User Guide.

2. After the role is created, note the ARN of the role. You need the ARN for a subsequent step.

3. Attach the policy you created to the role you created.

   The following AWS CLI command attaches the policy to the role named rds-s3-integration-role.

   Example

   For Linux, macOS, or Unix:

   aws iam attach-role-policy \
      --policy-arn your-policy-arn \
      --role-name rds-s3-integration-role

   For Windows:

   aws iam attach-role-policy ^
      --policy-arn your-policy-arn ^
      --role-name rds-s3-integration-role

   Replace your-policy-arn with the policy ARN that you noted in a previous step.

Step 4: Associate your IAM role with your RDS for Oracle DB instance

The last step in configuring permissions for Amazon S3 integration is associating your IAM role with your DB instance. Note the following requirements:

• You must have access to an IAM role with the required Amazon S3 permissions policy attached to it.

• You can only associate one IAM role with your RDS for Oracle at a time.

• The status of your instance must be available.

Console

To associate your IAM role with your RDS for Oracle DB instance

1. Sign in to the AWS Management Console and open the Amazon RDS console at https://console.aws.amazon.com/rds/.

2. Choose Databases from the navigation pane.

3. If your database instance is unavailable, choose Actions and then Start. When the instance status shows Started, go to the next step.

4. Choose the Oracle DB instance name to display its details.

5. On the Connectivity & security tab, scroll down to the Manage IAM roles section at the bottom of the page.

6. Choose the role to add in the Add IAM roles to this instance section.

7. For Feature, choose S3_INTEGRATION.

   

8. Choose Add role.

AWS CLI

The following AWS CLI command adds the role to an Oracle DB instance named mydbinstance.

Example

For Linux, macOS, or Unix:

aws rds add-role-to-db-instance \
   --db-instance-identifier mydbinstance \
   --feature-name S3_INTEGRATION \
   --role-arn your-role-arn                    

For Windows:

aws rds add-role-to-db-instance ^
   --db-instance-identifier mydbinstance ^
   --feature-name S3_INTEGRATION ^
   --role-arn your-role-arn

Replace your-role-arn with the role ARN that you noted in a previous step. S3_INTEGRATION must be specified for the --feature-name option.

Adding the Amazon S3 integration option

To use Amazon RDS for Oracle Integration with Amazon S3, your Amazon RDS for Oracle DB instance must be associated with an option group that includes the S3_INTEGRATION option.

Console

To configure an option group for Amazon S3 integration

1. Create a new option group or identify an existing option group to which you can add the S3_INTEGRATION option.

   For information about creating an option group, see Creating an option group.

2. Add the S3_INTEGRATION option to the option group.

   For information about adding an option to an option group, see Adding an option to an option group.

3. Create a new Oracle DB instance and associate the option group with it, or modify an Oracle DB instance to associate the option group with it.

   For information about creating a DB instance, see Creating an Amazon RDS DB instance.

   For information about modifying an Oracle DB instance, see Modifying an Amazon RDS DB instance.

AWS CLI

To configure an option group for Amazon S3 integration

1. Create a new option group or identify an existing option group to which you can add the S3_INTEGRATION option.

   For information about creating an option group, see Creating an option group.

2. Add the S3_INTEGRATION option to the option group.

   For example, the following AWS CLI command adds the S3_INTEGRATION option to an option group named myoptiongroup.

   Example

   For Linux, macOS, or Unix:

   aws rds add-option-to-option-group \
      --option-group-name myoptiongroup \
      --options OptionName=S3_INTEGRATION,OptionVersion=1.0                    

   For Windows:

   aws rds add-option-to-option-group ^
      --option-group-name myoptiongroup ^
      --options OptionName=S3_INTEGRATION,OptionVersion=1.0

3. Create a new Oracle DB instance and associate the option group with it, or modify an Oracle DB instance to associate the option group with it.

   For information about creating a DB instance, see Creating an Amazon RDS DB instance.

   For information about modifying an Oracle DB instance, see Modifying an Amazon RDS DB instance.

Transferring files between Amazon RDS for Oracle and an Amazon S3 bucket

To transfer files between an Oracle DB instance and an Amazon S3 bucket, you can use the Amazon RDS package rdsadmin_s3_tasks. You can compress files with GZIP when uploading them, and decompress them when downloading.

Note

The procedures in rdsadmin_s3_tasks upload or download the files in a single directory. You can't include subdirectories in these operations.

Topics

• Uploading files from your RDS for Oracle DB instance to an Amazon S3 bucket
• Downloading files from an Amazon S3 bucket to an Oracle DB instance
• Monitoring the status of a file transfer

Uploading files from your RDS for Oracle DB instance to an Amazon S3 bucket

To upload files from your DB instance to an Amazon S3 bucket, use the procedure rdsadmin.rdsadmin_s3_tasks.upload_to_s3. For example, you can upload Oracle Recovery Manager (RMAN) backup files or Oracle Data Pump files. The maximum object size in an Amazon S3 bucket is 5 TB. For more information about working with objects, see Amazon Simple Storage Service User Guide. For more information about performing RMAN backups, see Performing common RMAN tasks for Oracle DB instances.

The rdsadmin.rdsadmin_s3_tasks.upload_to_s3 procedure has the following parameters.

Parameter name	Data type	Default	Required	Description
p_bucket_name	VARCHAR2	–	required	The name of the Amazon S3 bucket to upload files to.
p_directory_name	VARCHAR2	–	required	The name of the Oracle directory object to upload files from. The directory can be any user-created directory object or the Data Pump directory, such as DATA_PUMP_DIR. Note You can only upload files from the specified directory. You can't upload files in subdirectories in the specified directory.
p_s3_prefix	VARCHAR2	–	required	An Amazon S3 file name prefix that files are uploaded to. An empty prefix uploads all files to the top level in the specified Amazon S3 bucket and doesn't add a prefix to the file names. For example, if the prefix is folder_1/oradb, files are uploaded to folder_1. In this case, the oradb prefix is added to each file.
p_prefix	VARCHAR2	–	required	A file name prefix that file names must match to be uploaded. An empty prefix uploads all files in the specified directory.
p_compression_level	NUMBER	0	optional	The level of GZIP compression. Valid values range from 0 to 9: 0 – No compression 1 – Fastest compression 9 – Highest compression
p_bucket_owner_full_control	VARCHAR2	–	optional	The access control setting for the bucket. The only valid values are null or FULL_CONTROL. This setting is required only if you upload files from one account (account A) into a bucket owned by a different account (account B), and account B needs full control of the files.

The return value for the rdsadmin.rdsadmin_s3_tasks.upload_to_s3 procedure is a task ID.

The following example uploads all of the files in the DATA_PUMP_DIR directory to the Amazon S3 bucket named mys3bucket. The files aren't compressed.

SELECT rdsadmin.rdsadmin_s3_tasks.upload_to_s3(
      p_bucket_name    =>  'mys3bucket',
      p_prefix         =>  '', 
      p_s3_prefix      =>  '', 
      p_directory_name =>  'DATA_PUMP_DIR') 
   AS TASK_ID FROM DUAL;

The following example uploads all of the files with the prefix db in the DATA_PUMP_DIR directory to the Amazon S3 bucket named mys3bucket. Amazon RDS applies the highest level of GZIP compression to the files.

SELECT rdsadmin.rdsadmin_s3_tasks.upload_to_s3(
      p_bucket_name       =>  'mys3bucket', 
      p_prefix            =>  'db', 
      p_s3_prefix         =>  '', 
      p_directory_name    =>  'DATA_PUMP_DIR',
      p_compression_level =>  9) 
   AS TASK_ID FROM DUAL;

The following example uploads all of the files in the DATA_PUMP_DIR directory to the Amazon S3 bucket named mys3bucket. The files are uploaded to a dbfiles folder. In this example, the GZIP compression level is 1, which is the fastest level of compression.

SELECT rdsadmin.rdsadmin_s3_tasks.upload_to_s3(
      p_bucket_name       =>  'mys3bucket', 
      p_prefix            =>  '', 
      p_s3_prefix         =>  'dbfiles/', 
      p_directory_name    =>  'DATA_PUMP_DIR',
      p_compression_level =>  1) 
   AS TASK_ID FROM DUAL;        

The following example uploads all of the files in the DATA_PUMP_DIR directory to the Amazon S3 bucket named mys3bucket. The files are uploaded to a dbfiles folder and ora is added to the beginning of each file name. No compression is applied.

SELECT rdsadmin.rdsadmin_s3_tasks.upload_to_s3(
      p_bucket_name    =>  'mys3bucket', 
      p_prefix         =>  '', 
      p_s3_prefix      =>  'dbfiles/ora', 
      p_directory_name =>  'DATA_PUMP_DIR') 
   AS TASK_ID FROM DUAL;

The following example assumes that the command is run in account A, but account B requires full control of the bucket contents. The command rdsadmin_s3_tasks.upload_to_s3 transfers all files in the DATA_PUMP_DIR directory to the bucket named s3bucketOwnedByAccountB. Access control is set to FULL_CONTROL so that account B can access the files in the bucket. The GZIP compression level is 6, which balances speed and file size.

SELECT rdsadmin.rdsadmin_s3_tasks.upload_to_s3(
      p_bucket_name               =>  's3bucketOwnedByAccountB', 
      p_prefix                    =>  '', 
      p_s3_prefix                 =>  '', 
      p_directory_name            =>  'DATA_PUMP_DIR',
      p_bucket_owner_full_control =>  'FULL_CONTROL',
      p_compression_level         =>  6) 
   AS TASK_ID FROM DUAL;

In each example, the SELECT statement returns the ID of the task in a VARCHAR2 data type.

You can view the result by displaying the task's output file.

SELECT text FROM table(rdsadmin.rds_file_util.read_text_file('BDUMP','dbtask-task-id.log'));

Replace task-id with the task ID returned by the procedure.

Note

Tasks are executed asynchronously.

Downloading files from an Amazon S3 bucket to an Oracle DB instance

To download files from an Amazon S3 bucket to an RDS for Oracle instance, use the Amazon RDS procedure rdsadmin.rdsadmin_s3_tasks.download_from_s3.

When you download files using the procedure download_from_s3, consider the following:

• The download limit is 2000 files per procedure call. If you need to download more than 2000 files from Amazon S3, split your download into separate actions, with no more than 2000 files per procedure call.

• If a file exists in your download folder, and you attempt to download a file with the same name, download_from_s3 skips the download. To remove a file from the download directory, use UTL_FILE.FREMOVE, found on the Oracle website.

The download_from_s3 procedure has the following parameters.

Parameter name	Data type	Default	Required	Description
p_bucket_name	VARCHAR2	–	required	The name of the Amazon S3 bucket to download files from.
p_directory_name	VARCHAR2	–	required	The name of the Oracle directory object to download files to. The directory can be any user-created directory object or the Data Pump directory, such as DATA_PUMP_DIR.
p_s3_prefix	VARCHAR2	''	required	A file name prefix that file names must match to be downloaded. An empty prefix downloads all of the top level files in the specified Amazon S3 bucket, but not the files in folders in the bucket. The procedure downloads Amazon S3 objects only from the first level folder that matches the prefix. Nested directory structures matching the specified prefix are not downloaded. For example, suppose that an Amazon S3 bucket has the folder structure folder_1/folder_2/folder_3. You specify the 'folder_1/folder_2/' prefix. In this case, only the files in folder_2 are downloaded, not the files in folder_1 or folder_3. If, instead, you specify the 'folder_1/folder_2' prefix, all files in folder_1 that match the 'folder_2' prefix are downloaded, and no files in folder_2 are downloaded.
p_decompression_format	VARCHAR2	NONE	optional	The decompression format. Valid values are NONE for no decompression and GZIP for decompression.

The return value for the rdsadmin.rdsadmin_s3_tasks.download_from_s3 procedure is a task ID.

The following example downloads all files in the Amazon S3 bucket named mys3bucket to the DATA_PUMP_DIR directory. The files aren't compressed, so no decompression is applied.

SELECT rdsadmin.rdsadmin_s3_tasks.download_from_s3(
      p_bucket_name    =>  'mys3bucket',
      p_directory_name =>  'DATA_PUMP_DIR') 
   AS TASK_ID FROM DUAL;

The following example downloads all of the files with the prefix db in the Amazon S3 bucket named mys3bucket to the DATA_PUMP_DIR directory. The files are compressed with GZIP, so decompression is applied.

SELECT rdsadmin.rdsadmin_s3_tasks.download_from_s3(
      p_bucket_name          =>  'mys3bucket', 
      p_s3_prefix            =>  'db', 
      p_directory_name       =>  'DATA_PUMP_DIR',
      p_decompression_format =>  'GZIP') 
   AS TASK_ID FROM DUAL;

The following example downloads all of the files in the folder myfolder/ in the Amazon S3 bucket named mys3bucket to the DATA_PUMP_DIR directory. Use the p_s3_prefix parameter to specify the Amazon S3 folder. The uploaded files are compressed with GZIP, but aren't decompressed during the download.

SELECT rdsadmin.rdsadmin_s3_tasks.download_from_s3(
      p_bucket_name          =>  'mys3bucket', 
      p_s3_prefix            =>  'myfolder/', 
      p_directory_name       =>  'DATA_PUMP_DIR',
      p_decompression_format =>  'NONE')
   AS TASK_ID FROM DUAL;

The following example downloads the file mydumpfile.dmp in the Amazon S3 bucket named mys3bucket to the DATA_PUMP_DIR directory. No decompression is applied.

SELECT rdsadmin.rdsadmin_s3_tasks.download_from_s3(
      p_bucket_name    =>  'mys3bucket', 
      p_s3_prefix      =>  'mydumpfile.dmp', 
      p_directory_name =>  'DATA_PUMP_DIR') 
   AS TASK_ID FROM DUAL;

In each example, the SELECT statement returns the ID of the task in a VARCHAR2 data type.

You can view the result by displaying the task's output file.

SELECT text FROM table(rdsadmin.rds_file_util.read_text_file('BDUMP','dbtask-task-id.log'));

Replace task-id with the task ID returned by the procedure.

Note

Tasks are executed asynchronously.

You can use the UTL_FILE.FREMOVE Oracle procedure to remove files from a directory. For more information, see FREMOVE procedure in the Oracle documentation.

Monitoring the status of a file transfer

File transfer tasks publish Amazon RDS events when they start and when they complete. For information about viewing events, see Viewing Amazon RDS events.

You can view the status of an ongoing task in a bdump file. The bdump files are located in the /rdsdbdata/log/trace directory. Each bdump file name is in the following format.

dbtask-task-id.log

Replace task-id with the ID of the task that you want to monitor.

Note

Tasks are executed asynchronously.

You can use the rdsadmin.rds_file_util.read_text_file stored procedure to view the contents of bdump files. For example, the following query returns the contents of the dbtask-1546988886389-2444.log bdump file.

SELECT text FROM table(rdsadmin.rds_file_util.read_text_file('BDUMP','dbtask-1546988886389-2444.log'));

Removing the Amazon S3 integration option

You can remove Amazon S3 integration option from a DB instance.

To remove the Amazon S3 integration option from a DB instance, do one of the following:

• To remove the Amazon S3 integration option from multiple DB instances, remove the S3_INTEGRATION option from the option group to which the DB instances belong. This change affects all DB instances that use the option group. For more information, see Removing an option from an option group.

• To remove the Amazon S3 integration option from a single DB instance, modify the instance and specify a different option group that doesn't include the S3_INTEGRATION option. You can specify the default (empty) option group or a different custom option group. For more information, see Modifying an Amazon RDS DB instance.