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Connecting Bold BI to Amazon Redshift Database

Using the Amazon Redshift connection type, you can connect an Amazon Redshift database.

Click Data Source button in the configuration panel to add a new data connection.

Data source Image

Click CREATE NEW to launch a new connection from the connection type panel.

Data source Button

Click Amazon Redshift connection button in the connection type panel.

Red shift button

Set the server Name and port number where the Amazon Redshift service is running.

Enter the user name and password to connect to the Amazon Redshift.

There are two connection types available in a data source:

  • Live mode
  • Extract mode

Live mode connection

In this connection type, a data source is directly fetched from source. Choose the Live mode option for this connection.

Redshift Live mode

The selected database will be opened in the data design view window.

Data Design view

Drag and drop the table from table list, and click Save button to save the data source with valid name.

Extract mode connection

In this connection type, a data source is fetched from source periodically. Choose the Extract mode option for this connection.

Redshift Extract Mode

NOTE: Initially, data will be extracted based on the Max Rows selected in order to proceed with data model creation. The remaining records (there is no limit) will be extracted during the next refresh.
Max rows option

Refresh Settings

Steps to configure the data source refresh settings:

  1. Click Refresh Settings in the configuration panel.

Refresh Setting

  1. Select the recurrence type, recurrence start, and end dates in the Refresh Setting dialog box.

    • Data refresh can be scheduled hourly, daily, weekly, and monthly.
    • Application Time Zone is displayed below the date picker. Start time of the schedule is converted to the client Time Zone and shown at the right-side for users convenience. After selecting, click Schedule.

Refresh Setting

Preview and data import

  1. Click Connect to redshift server with configured details.

  2. The Extract Data dialog opens. This dialog has two modes of connection either via Table or Custom query. Under custom query option, write the required query and click Connect. Under the Table option, this dialog displays list of tables and views in treeview. Select the required table(s) or view(s) from treeview to use in the designer. The option is available for configuring incremental refresh column (The table must have a primary key column and date column to configure this option) for the selected items in the right-side panel. If you configure it, then the data source will work on Incremental update, otherwise works on Full load concept. And finally click Connect.

Preview Extract

  1. Now, the data design view page with the selected table schema opens. Drag the table.

Query Editor Extract

  • You can use the Code View option for passing query to display data.

Code view mode extract

Click Save to save the data source with a relevant name.

NOTE: In future, you can edit the connection information for both live and extract mode connections using the Edit Connection option.

Connecting Bold BI to Amazon Redshift Data Source via REST API

Prerequisites

Type while creating the data source needs to be redshift.

Rest API - v4.0

Modes

Through the REST API, only the live mode data source can be created and edited.

Parameters for creating Data Source

Parameters Details
Servername

required
`string`

Server name or Host name of the connection
Port

required
`string`

Port number used to connect to redshift instance.

Username

required
`string`

A valid username for the connection
Password

required
`string`

A valid Password for the connection
Database

required
`string`

database which needs to be connected
Schemaname

required for table mode
`string`

Enter a valid Schemaname
Tablename

required for table mode
`string`

Enter a valid Tablename
Query

required for code view mode
`string`

Enter a valid Query
AdvancedSettings

optional
`string`

Additional optional connection parameters can be provided. By default, it is empty.
CommandTimeout

optional
`string`

Enter a valid Timeout for connection. By default, it is 300
IsSshConnection

optional
`boolean`

Enable or disable SSH. By default, it is false.
SshServerName

optional
`string`

Enter a valid Ssh Server name. By default, it is empty.
SshPort

optional
`integer`

Enter a valid Ssh Port number.
SshUserName

optional
`string`

Enter a valid Ssh Username. By default, it is empty.
SshPassword

optional
`string`

Enter a valid Ssh Password. By default, it is empty.
Expressions

optional

`Array of Objects`



Parameters for adding expressions when creating Data Source

Parameters Details
Name

required

`string`

Name of the Expression

Expression



required

`string`

Expression


Parameters for editing Data Source

NOTE: For editing Data Source via API. All the parameters are optional. The parameter which needs to be changed can be provided.

Parameters for modifying expressions when editing Data Source

Parameters Details
Name

required

`string`

Name of the Expression

Expression



required

`string`

Expression


Action



optional

`string`

add/delete/edit

By default, it is add.

NewName

optional

`string`

For renaming the expression. This is applicable only if the Action is edit

Connection Sample for Table Mode

For creating connection:

"Connection": [
{
"Servername": "string",
"Port": "string",
"Username": "string",
"Password": "string",
"Database": "string",
"Schemaname": "string",
"Tablename": "string",
"AdvancedSettings": "string",
"CommandTimeout": "string",
"IsSshConnection": "false",
"SshServerName": "string",
"SshPort": 0,
"SshUsername": "string",
"SshPassword": "string",
"Expressions" : [{
"Name": "Expression1",
"Expression" : "SUM(numeric expression)"
    },
    {
"Name": "Expression2",
"Expression" :  "UPPER(string expression)"
}]
}
]

For editing connection:

"Connection": [
{
"Servername": "string",
"Port": "string",
"Username": "string",
"Password": "string",
"Database": "string",
"Schemaname": "string",
"Tablename": "string",
"AdvancedSettings": "string",
"CommandTimeout": "string",
"IsSshConnection": "false",
"SshServerName": "string",
"SshPort": 0,
"SshUsername": "string",
"SshPassword": "string",
"Expressions" : [{
"Name": "Expression1",
"Expression" : "SUM(numeric expression)",
"NewName" : "Sum",
"Action": "edit"
    },
    {
"Name": "Expression2",
"Expression" :  "UPPER(string expression)"
"Action": "delete"
}]
}
]

NOTE: Through Rest API, the data source can be created or edited with only one table. If different table is provided in edit data source, the table will be replaced. The widgets will be retained only if the schema is same as the previous table.

Connection Sample for Code View Mode

"Connection": [
{
"Servername": "string",
"Port": "string",
"Username": "string",
"Password": "string",
"Database": "string",
"Query": "string",
"AdvancedSettings": "string",
"CommandTimeout": "string",
"IsSshConnection": "false",
"SshServerName": "string",
"SshPort": 0,
"SshUsername": "string",
"SshPassword": "string",
"Expressions" : [{
"Name": "Expression1",
"Expression" : "SUM(numeric expression)"
    },
    {
"Name": "Expression2",
"Expression" :  "UPPER(string expression)"
}]
}
]

Data Transformation

Editing a Data Connection

Dashboard Designer Walkthrough

Blog post for Amazon Redshift

Amazon Redshift Integration