Learn more about Amazon Redshift Export Integration.

Open You can connect Amazon Redshift to import data into Treasure Data.

This topic contains:


Prerequisites

  • Redshift instance created.

  • Treasure Data TD Toolbelt installed.

  • Basic knowledge of Amazon Redshift.

  • Basic knowledge of Treasure Data, including the TD Toolbelt.

Use the TD Console to Create Your Connection

Create a New Connection

When you configure a data connection, you provide authentication to access the integration. In Treasure Data, you configure the authentication and then specify the source information.

  1. Open TD Console.

  2. Navigate to Integrations HubCatalog

  3. Click the search icon on the far-right of the Catalog screen, and enter Amazon Redshift.
  4. Hover over the Amazon Redshift connector and select Create Authentication.

  5. Specify the required credentials.
    Host: The host information of the source database, such as an IP address.
    Port: The connection port on the source instance. The PostgreSQL default is 5432.
    User: Username to connect to the source database.
    Password: Password to connect to the source database.
    Use SSL: Check this box to connect using SSL
    JDBC Connection options: Any special JDBC connections required by the source database (optional).
    Region: The AWS regions in which your Redshift instance is hosted.
    Socket connection timeout: Timeout (in seconds) for socket connection (default is 300).
    Network timeout: Timeout (in seconds) for network socket operations. 0 means no timeout.
    Rows per batch: Number of rows to fetch one time.

  6. Select Continue after entering the required connection details.

  7. Name the connection so you can find it later should you need to modify any of the connection details.

  8. Optionally, select Share with others, if you would like to share this connection with other users in your organization.

  9. Select Done.

If the connection is a success, then the connection appears in your list of authentications.

Transfer Your Redshift Data Account Data to Treasure Data

After creating the authenticated connection, you are automatically taken to Authentications.

  1. Search for the connection you created. 

  2. Select New Source.

Connection

  1. Type a name for your Source in the Data Transfer field.

  2. Click Next


  3. Specify the details of the database and table that you want to ingest data from.
    Database name: The name of the database you are transferring data from. (Ex. your_database_name)
    Use custom SELECT query?: Use if you need more than a simple SELECT (columns) FROM table WHERE (condition).
    Schema: The schema to transfer data from.
    SELECT columns: If there are only specific columns you would like to pull data from, list them here. Otherwise all columns are transferred.
    Table: The table from which you would like to import the data.
    WHERE condition: If you need additional specificity on the data retrieved from the table you can specify it here as part of WHERE clause.
    ORDER BY: Specify if you need the records ordered by a particular field.

Data Settings

  1. Select Next.
    The Data Settings page opens.


  2. Optionally, edit the data settings or skip this page of the dialog.
    Incremental: When you want to repeatedly run this transfer, use the checkbox to import data only since the last time the import was run.
    Default timezone: The timezone to be used when doing the import. Default is UTC.
    After SELECT: This SQL is executed after the SELECT query in the same transaction.
    Column Options: Select this option to modify the type of column before importing it.

  3. Select Next.

Data Preview 

You can see a preview of your data before running the import by selecting Generate Preview.

Data shown in the data preview is approximated from your source. It is not the actual data that is imported.

  1. Select Next.
    Data preview is optional and you can safely skip to the next page of the dialog if you want.

  2. To preview your data, select Generate Preview. Optionally, select Next

  3. Verify that the data looks approximately like you expect it to.


  4. Select Next.


Data Placement

For data placement, select the target database and table where you want your data placed and indicate how often the import should run.

  1.  Select Next. Under Storage you will create a new or select an existing database and create a new or select an existing table for where you want to place the imported data.

  2. Select a Database > Select an existing or Create New Database.

  3. Optionally, type a database name.

  4. Select a Table> Select an existing or Create New Table.

  5. Optionally, type a table name.

  6. Choose the method for importing the data.

    • Append (default)-Data import results are appended to the table.
      If the table does not exist, it will be created.

    • Always Replace-Replaces the entire content of an existing table with the result output of the query. If the table does not exist, a new table is created. 

    • Replace on New Data-Only replace the entire content of an existing table with the result output when there is new data.

  7. Select the Timestamp-based Partition Key column.
    If you want to set a different partition key seed than the default key, you can specify the long or timestamp column as the partitioning time. As a default time column, it uses upload_time with the add_time filter.

  8. Select the Timezone for your data storage.

  9. Under Schedule, you can choose when and how often you want to run this query.

    • Run once:
      1. Select Off.

      2. Select Scheduling Timezone.

      3. Select Create & Run Now.

    • Repeat the query:

      1. Select On.

      2. Select the Schedule. The UI provides these four options: @hourly, @daily and @monthly or custom cron.

      3. You can also select Delay Transfer and add a delay of execution time.

      4. Select Scheduling Timezone.

      5. Select Create & Run Now.

 After your transfer has run, you can see the results of your transfer in Data Workbench > Databases.



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