Creating Solace Input Data Source

The Solace connector allows connection to Solace’s message bus on a real time streaming basis. Specifically, the connector allows Panopticon Streams to subscribe to messages that are published in particular topics in Solace and consequently, perform operational analytics.

Steps:

1.     In the New Data Source page, select Input > Solace in the Connector drop-down list.

 

2.     Enter the connection details including:

Property	Description
Host	Solace host address.
VPN Name	Message VPN name. Default is default.
User Id	The user Id that will be used to connect to Solace.
Password	The password that will be used to connect to Solace.

 

3.     Enter the Topic or the queue physical name.

4.     Select the Message Type. This will specify the format of the data within the message.

Aside  from the Fix, Json, Text, and XML message types, Protobuf is also supported in Solace.

If Protobuf is selected, confirm the Decimal Separator, and enter the Schema Name and Type Name.

Then click  to select the File Descriptor (.desc file) in the Open dialog.   

Property	Description
Schema Name	The Protobuf schema.
Type Name	The message of Protobuf type that will be sent to Kafka.
File Descriptor	The FileDescriptorSet which: ·         is an output of the protocol compiler. ·         represents a set of .proto files, using the --descriptor_set_out option.

 

5.     Select either the period (.) or comma (,) as the Decimal Separator.

 

NOTE	Prepend 'default:' for the elements falling under default namespace.

 

6.     Click  to the fetch the schema based on the connection details. This populates the list of columns with the data type found from inspecting the first ‘n’ rows of the input data source.

7.     You can opt to click  to add columns to the Solace connection that represent sections of the message. Then enter or select:

Property	Description
Name	The column name of the source schema.
Type/JsonPath/Column Index/XPath	The SDTMap Type/JsonPath/Text Column Index/XPath of the source schema.
Type	The data type of the column. Can be a Text, Numeric, or Time
Date Format	The format when the data type is Time. NOTE: To parse and format times with higher than millisecond precision, the format string needs to end with a period followed by sequence of upper case S. There can be no additional characters following them. For example: yyyy-MM-dd HH:mm:ss.SSSSSS
Filter	Defined parameters that can be used as filter. Only available for JSON, Text, and XML message types.
Enabled	Determines whether the message field should be processed.

 

To delete a column, check its  or all the column entries, check the topmost , then click .

8.     To create a new Timestamp field, enter a new Timestamp Name and then select the valid Date/Time from either a single Date or Time field, or a compound column created from Date and Time fields.

9.     Define the Real-time Settings.

10.   Click . The new data source is added in the Data Sources list.