Unload data into AWS S3

This topic describes how to unload CSV-formatted data from CelerData into an AWS S3 bucket in three steps.

Step 1: Configure an S3 bucket access policy

AWS access control requirements

CelerData requires the following permissions on an S3 bucket and folder to be able to access files in the folder and its sub-folders:

• s3:GetObject
• s3:PutObject
• s3:DeleteObject
• s3:ListBucket

Creating an IAM policy

The following step-by-step instructions describe how to configure access permissions for CelerData in your AWS Management Console so that you can use an S3 bucket to unload data:

1. Log in to the AWS Management Console.

2. From the home dashboard, choose Identity & Access Management (IAM).

   

3. Choose Account settings from the left-hand navigation pane.

4. Expand the Security Token Service Regions list, find the AWS region in which your CelerData cluster is deployed, and choose Activate if the status is Inactive.

5. Choose Policies from the left-hand navigation pane.

6. Click Create Policy.

   

7. Click the JSON tab.

8. Add the policy document that will allow CelerData to access the S3 bucket and folder.

   The following policy in JSON format provides CelerData with the required access permissions for the specified bucket and folder path. You can copy and paste the text into the policy editor:

   {
       "Version": "2012-10-17",
       "Statement": [
            {
               "Effect": "Allow",
               "Action": [
                   "s3:ListBucket"
               ],
               "Resource": [
                   "arn:aws:s3:::<bucket_name>"
               ]
           },
           {
               "Effect": "Allow",
               "Action": [
                   "s3:PutObject",
                   "s3:GetObject",
                   "s3:DeleteObject",
               ],
               "Resource": [
                   "arn:aws:s3:::<bucket_name>/*"
               ]
           }
       ]
   }

   NOTE

   Replace <bucket_name> with the name of the S3 bucket that you want to access. For example, if your S3 bucket is named bucket_s3, replace <bucket_name> with bucket_s3.

9. Click Review policy.

10. Enter the policy name (for example, celerdata_export_policy) and optionally a policy description. Then, click Create policy to create the policy.

    

Step 2: Create an IAM user

1. Choose Users from the left-hand navigation pane and click Add user.

2. On the Add user page, enter a new user name (for example, celerdata_export), select Access key - Programmatic access as the access type, and then click Next: Permissions.

   

3. Click Attach existing policies directly, select the policy you created earlier, and then click Next: Tags.

   

4. Review the user details. Then, click Create user.

   

5. Record the access credentials. The easiest way to record them is to click Download Credentials to write them to a file (for example, credentials.csv).

   

   NOTICE

   Once you leave this page, the Secret Access Key will no longer be available anywhere in the AWS Management Console. If you lose the key, you must generate a new set of credentials for the user.

You have now:

• Created an IAM policy for an S3 bucket.
• Created an IAM user and generated access credentials for the user.
• Attached the policy to the user.

With the AWS access key (AK) and secret key (SK) for the S3 bucket, you have the credentials necessary to access the bucket in CelerData using a broker load.

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "s3:ListBucket"
            ],
            "Resource": [
                "arn:aws:s3:::<bucket_name>"
            ]
        },
        {
            "Effect": "Allow",
            "Action": [
                "s3:PutObject",
                "s3:GetObject",
                "s3:DeleteObject"
            ],
            "Resource": [
                "arn:aws:s3:::<bucket_name>/*"
            ]
        }
    ]
}

Step 3: Unload data into AWS S3

Unload table data into Amazon S3

You can use the EXPORT statement to unload all data from a table or only the data from specific partitions of a table into an S3 bucket.

EXPORT TABLE <table_name>
[PARTITION (<partition_name>[, <partition_name>, ...])]
TO "s3a://<bucket_name>/path/to"
WITH BROKER
(
    "aws.s3.access_key" =  <your_access_key_id>,
    "aws.s3.secret_key" = <your_secret_access_key>,
    "aws.s3.endpoint" = "s3.<region_id>.amazonaws.com"
);

The following table describes the parameters.

NOTE

The S3A protocol is used for data unloads from Amazon S3. Therefore, the file path that you specify must start with the prefix s3a://.

For more information, see EXPORT.

Unload query results into Amazon S3

You can use the SELECT statement to unload the result of a query into one or more text files stored in an S3 bucket.

Unload data using the SELECT statement:

SELECT * FROM <xxx>
INTO OUTFILE "s3a://<bucket_name>/path/to/<filename_prefix>"
FORMAT AS CSV
PROPERTIES
(
    "broker.name" = "",
    "aws.s3.access_key" = <your_access_key_id>,
    "aws.s3.secret_key" = <your_secret_access_key>,
    "aws.s3.endpoint" = "s3.<region_id>.amazonaws.com",
    "column_separator" = ",",
    "line_delimiter" = "\n",
    "max_file_size" = "1024MB"
)

The following table describes the parameters.

NOTE

The S3A protocol is used for data unloads from Amazon S3. Therefore, the file path that you specify must start with the prefix s3a://.

If the filename_prefix that you specify already exists, an error message "Error 1064: Cannot truncate a file by broker" is returned.

Limits

• Only the CSV format is supported.
• The AWS AK and SK used as credentials are necessary.